1 00:00:03,040 --> 00:00:05,360 Speaker 1: Welcome to stot to Blow Your Mind production of My 2 00:00:05,480 --> 00:00:14,160 Speaker 1: Heart Radio. Hey are you welcome to Stuff to Blow 3 00:00:14,200 --> 00:00:17,120 Speaker 1: Your Mind? My name is Robert Lamb and I'm Joe McCormick. 4 00:00:17,160 --> 00:00:18,919 Speaker 1: And today on Stuff to Blow Your Mind, we're gonna 5 00:00:18,920 --> 00:00:21,280 Speaker 1: be doing something a little bit different than we usually do. 6 00:00:21,360 --> 00:00:25,080 Speaker 1: We are going to be talking about an ongoing global 7 00:00:25,640 --> 00:00:28,800 Speaker 1: disease outbreak. So if you've listened to us for a while, 8 00:00:29,360 --> 00:00:31,400 Speaker 1: you know that while science is the heart of the show, 9 00:00:31,440 --> 00:00:34,640 Speaker 1: we you know, we rarely cover breaking science news. It's 10 00:00:34,680 --> 00:00:36,879 Speaker 1: not really our wheelhouse. They have been well maybe one 11 00:00:36,960 --> 00:00:38,840 Speaker 1: or two times when we've kind of dipped our toe 12 00:00:38,880 --> 00:00:41,479 Speaker 1: into that. And a part of the deal with breaking 13 00:00:41,520 --> 00:00:45,519 Speaker 1: science is that sometimes it it breaks you back when 14 00:00:45,520 --> 00:00:48,080 Speaker 1: you realize, oh, well, that's study about tartar grades had 15 00:00:48,080 --> 00:00:50,479 Speaker 1: some it's had some problems with it. Remember that's like 16 00:00:50,479 --> 00:00:53,519 Speaker 1: we're recording another episode on tartar grades the following week. Yep. 17 00:00:53,960 --> 00:00:56,040 Speaker 1: Uh so yeah. Obviously, while we like to give the 18 00:00:56,080 --> 00:00:58,440 Speaker 1: most up to date information we can whenever we dive 19 00:00:58,440 --> 00:01:00,600 Speaker 1: into a subject, it's actually pretty rare that we cover 20 00:01:00,640 --> 00:01:04,200 Speaker 1: a science story because it's the subject of current headlines 21 00:01:04,240 --> 00:01:05,760 Speaker 1: and there are a few reasons for this. You know, 22 00:01:05,840 --> 00:01:07,600 Speaker 1: we like to go deep a lot of times when 23 00:01:07,600 --> 00:01:10,280 Speaker 1: news about a discovery first breaks there isn't a lot 24 00:01:10,280 --> 00:01:13,479 Speaker 1: of depth yet to explore. But also the early days 25 00:01:13,480 --> 00:01:16,800 Speaker 1: of a scientific news story are often full of rapid 26 00:01:16,880 --> 00:01:20,160 Speaker 1: revisions and leads that turn out to be false or misguided. 27 00:01:20,520 --> 00:01:22,240 Speaker 1: Those can be easier to fix, I think in a 28 00:01:22,280 --> 00:01:24,759 Speaker 1: printed article, where you can simply go in and make 29 00:01:24,880 --> 00:01:27,640 Speaker 1: edits or corrections or links to updates. That kind of 30 00:01:27,640 --> 00:01:30,520 Speaker 1: thing doesn't work very well for recorded audio. So we 31 00:01:30,600 --> 00:01:32,640 Speaker 1: do our best to cover subjects that we think we 32 00:01:32,680 --> 00:01:35,240 Speaker 1: can get right the first time, go deep on and 33 00:01:35,400 --> 00:01:38,160 Speaker 1: cover in a kind of evergreen way. Um, but right 34 00:01:38,200 --> 00:01:41,040 Speaker 1: now there is a still developing global health story that 35 00:01:41,080 --> 00:01:43,400 Speaker 1: we figured it was really important to address on our show, 36 00:01:43,840 --> 00:01:47,520 Speaker 1: and that's the at this point, very likely global pandemic 37 00:01:47,680 --> 00:01:51,720 Speaker 1: of coronavirus. So given the subject of today's story, we 38 00:01:51,760 --> 00:01:54,160 Speaker 1: really need to be even more clear than usual about 39 00:01:54,240 --> 00:01:58,800 Speaker 1: when we're researching, recording, and the publishing this episode. It 40 00:01:58,880 --> 00:02:04,560 Speaker 1: was researched the last week of February, recorded on February, 41 00:02:04,960 --> 00:02:09,320 Speaker 1: and it will be published on March three. Now we're 42 00:02:09,320 --> 00:02:11,160 Speaker 1: gonna do what we can to make sure it's up 43 00:02:11,200 --> 00:02:14,480 Speaker 1: to date at the point of publication, but certainly bear 44 00:02:14,520 --> 00:02:16,840 Speaker 1: in mind that the story will continue to move in 45 00:02:16,880 --> 00:02:20,880 Speaker 1: the days and weeks following its publication. So there's a 46 00:02:21,000 --> 00:02:23,639 Speaker 1: lot of media coverage out there about this right now. 47 00:02:24,120 --> 00:02:26,440 Speaker 1: Some of it is is great, some of it is 48 00:02:26,480 --> 00:02:29,880 Speaker 1: perhaps a bit more on the panic side of the equation. 49 00:02:30,320 --> 00:02:33,359 Speaker 1: UH studies are flying off the digital press. Government health 50 00:02:33,440 --> 00:02:36,880 Speaker 1: organizations such as the CDC and UH that's the Centers 51 00:02:36,880 --> 00:02:40,320 Speaker 1: for Disease Control and Prevention, and the World Health Organization 52 00:02:40,440 --> 00:02:42,440 Speaker 1: or do we call them the who do you like 53 00:02:42,480 --> 00:02:44,440 Speaker 1: to call them? The w h O? Or the who? 54 00:02:44,600 --> 00:02:48,600 Speaker 1: I call them? The who? Are you? Well? They are 55 00:02:48,720 --> 00:02:51,400 Speaker 1: essential voices in all of this, but in the in 56 00:02:51,440 --> 00:02:56,440 Speaker 1: some cases governmental um responses and communications have been criticized, 57 00:02:56,680 --> 00:03:00,760 Speaker 1: and there's also a fair amount of misinformation, races, xenophobia, 58 00:03:00,800 --> 00:03:02,680 Speaker 1: and fear out there. So we're gonna do what we 59 00:03:02,720 --> 00:03:06,519 Speaker 1: can to stick to the facts here and to give 60 00:03:06,600 --> 00:03:10,360 Speaker 1: you a balanced view of the current state of the 61 00:03:10,400 --> 00:03:13,360 Speaker 1: coronavirus and give you some tips about what you need 62 00:03:13,400 --> 00:03:17,000 Speaker 1: to do to potentially prepare and to further educate yourself 63 00:03:17,040 --> 00:03:19,000 Speaker 1: on the topic. Right, So, I guess we should start 64 00:03:19,040 --> 00:03:21,760 Speaker 1: with a brief sketch of the timeline on this new 65 00:03:21,800 --> 00:03:25,040 Speaker 1: disease up to the present. So how did the story begin. Well, 66 00:03:25,080 --> 00:03:27,720 Speaker 1: at the end of last year. On December thirty one, 67 00:03:27,919 --> 00:03:31,440 Speaker 1: twenty nineteen, the National China Office of the World Health 68 00:03:31,520 --> 00:03:34,920 Speaker 1: Organization was notified of a localized surge in cases of 69 00:03:34,920 --> 00:03:38,920 Speaker 1: pneumonia with an unknown origin in Wuhan's City, which is 70 00:03:38,920 --> 00:03:41,480 Speaker 1: in the Hubei Province of China, and it's home to 71 00:03:41,520 --> 00:03:44,760 Speaker 1: about eleven million people, So this is considered central China. 72 00:03:45,000 --> 00:03:46,960 Speaker 1: And if you're if you're listening to this and you're 73 00:03:46,960 --> 00:03:49,400 Speaker 1: trying to roughly picture it on a map, it's something 74 00:03:49,440 --> 00:03:52,880 Speaker 1: like six hundred miles more or less directly north of Guangzhou, 75 00:03:53,360 --> 00:03:56,120 Speaker 1: So we're talking about like an eleven hour bus drive 76 00:03:56,160 --> 00:03:59,480 Speaker 1: according to Google. Yeah, now, these were cases of pneumonia 77 00:03:59,520 --> 00:04:01,520 Speaker 1: at the time. That that's how they were recognized. And 78 00:04:01,520 --> 00:04:04,920 Speaker 1: pneumonia just refers to a type of inflammation and the 79 00:04:04,960 --> 00:04:07,920 Speaker 1: air sacks of the lungs, usually due to bacterial or 80 00:04:07,960 --> 00:04:10,600 Speaker 1: viral infection. I guess there are multiple types of pathogens 81 00:04:10,640 --> 00:04:13,040 Speaker 1: like fungus and other parasites can get in there too. 82 00:04:13,320 --> 00:04:15,960 Speaker 1: Uh So pneumonia can have many causes. A common one 83 00:04:16,000 --> 00:04:19,880 Speaker 1: would be the influence of virus or flu, except the 84 00:04:19,920 --> 00:04:22,599 Speaker 1: patients presenting at the hospitals and Muhan did not have 85 00:04:22,760 --> 00:04:26,280 Speaker 1: the flu. By January three, there were forty four cases 86 00:04:26,320 --> 00:04:30,159 Speaker 1: of Wuhan city pneumonia with unknown ideology, meaning we don't 87 00:04:30,240 --> 00:04:35,080 Speaker 1: understand what's causing it. But obviously a new, unidentified pathogen 88 00:04:35,240 --> 00:04:38,680 Speaker 1: was suspected. So when a new and unfamiliar epidemic breaks out, 89 00:04:38,720 --> 00:04:42,240 Speaker 1: what tools to epidemiologists have to try to understand things well? 90 00:04:42,360 --> 00:04:45,440 Speaker 1: One is to look for underlying patterns among the people 91 00:04:45,560 --> 00:04:48,360 Speaker 1: presenting with the novel infection. Is there anything many or 92 00:04:48,400 --> 00:04:51,120 Speaker 1: all of them have in common, any place they've all been, 93 00:04:51,600 --> 00:04:54,760 Speaker 1: any food they've all eaten, or anything like that? And 94 00:04:54,839 --> 00:04:58,359 Speaker 1: this method quickly brought a likely ground zero for exposure 95 00:04:58,360 --> 00:05:02,080 Speaker 1: into focus, which was a specific food market in Wuhan 96 00:05:02,440 --> 00:05:06,159 Speaker 1: which in some cases sold live animals, including seafood, rabbits, 97 00:05:06,160 --> 00:05:09,840 Speaker 1: and poultry. This was the juan On Seafood Wholesale Market, 98 00:05:10,200 --> 00:05:13,320 Speaker 1: and several of the initial patients apparently worked there. The 99 00:05:13,320 --> 00:05:16,640 Speaker 1: market was shut down on January one and subjected to 100 00:05:16,800 --> 00:05:20,800 Speaker 1: sanitation protocols. Yeah, and again, despite its name, the market 101 00:05:20,880 --> 00:05:24,800 Speaker 1: sees fairly varied trade and numerous animals, including several different 102 00:05:24,839 --> 00:05:28,680 Speaker 1: varieties of mammals. So we call cases such as this 103 00:05:29,360 --> 00:05:35,000 Speaker 1: zoonosis in which bacterium, virus or parasite transfers from an 104 00:05:35,080 --> 00:05:38,520 Speaker 1: animal host to a human host, and there are numerous 105 00:05:38,560 --> 00:05:42,000 Speaker 1: possible vectors and ways that it can spread. The reverse 106 00:05:42,080 --> 00:05:45,120 Speaker 1: is also possible, by the way, either known as reverse 107 00:05:45,160 --> 00:05:50,600 Speaker 1: zunosis or anthroponosis uh, in which one of these pathogens 108 00:05:50,680 --> 00:05:54,520 Speaker 1: or virus or whatever basses from a human to an animal. Yeah, 109 00:05:54,520 --> 00:05:56,960 Speaker 1: and very very often when there is a new disease, 110 00:05:57,040 --> 00:05:59,880 Speaker 1: it's a case of zoonosis, right, and something is popped 111 00:06:00,040 --> 00:06:03,680 Speaker 1: up because a disease formerly present in some species of 112 00:06:03,680 --> 00:06:07,360 Speaker 1: animal has jumped and suddenly appeared in humans. Yeah, And 113 00:06:07,400 --> 00:06:09,359 Speaker 1: then that's why it can be dangerous, because suddenly you 114 00:06:09,360 --> 00:06:12,080 Speaker 1: have a new bacteria, virus, or parasite that the immune 115 00:06:12,080 --> 00:06:16,279 Speaker 1: system and health experts are not specifically ready for or 116 00:06:16,400 --> 00:06:17,680 Speaker 1: or you know, or you know, you haven't had a 117 00:06:17,720 --> 00:06:19,920 Speaker 1: chance for an immunity to build up or for very 118 00:06:20,000 --> 00:06:23,080 Speaker 1: targeted um uh, you know health strategy to be put 119 00:06:23,120 --> 00:06:25,680 Speaker 1: in place. Yeah. Well, we're unprepared in multiple ways, right. 120 00:06:25,720 --> 00:06:28,800 Speaker 1: We don't have effective treatments yet. Likely we don't have 121 00:06:28,839 --> 00:06:32,159 Speaker 1: effective vaccines yet. Likely we don't know what to look 122 00:06:32,200 --> 00:06:34,680 Speaker 1: for yet with this new disease, and people don't have 123 00:06:34,720 --> 00:06:36,880 Speaker 1: a natural immunity to it, so it hits us in 124 00:06:36,960 --> 00:06:40,720 Speaker 1: our unpreparedness in multiple ways all at once. So one 125 00:06:40,720 --> 00:06:42,800 Speaker 1: thing we need to drive home with zoonosis is that 126 00:06:43,240 --> 00:06:46,479 Speaker 1: it has always occurred, uh, you know, anywhere humans have 127 00:06:46,640 --> 00:06:50,080 Speaker 1: been in close confines with animals. Uh, there is a 128 00:06:50,600 --> 00:06:54,200 Speaker 1: there there is a possibility for for the pathogen to 129 00:06:54,200 --> 00:06:58,320 Speaker 1: to to switch teams, to mute, to to jump over 130 00:06:58,360 --> 00:07:01,720 Speaker 1: to a new host, and examples include everything from like 131 00:07:01,800 --> 00:07:05,120 Speaker 1: rabies and bird flu to to HIV, with with HIV 132 00:07:05,200 --> 00:07:08,080 Speaker 1: being an example of something that's subsequently mutated into a 133 00:07:08,160 --> 00:07:11,760 Speaker 1: human only variety. Yeah, I believe the most recent consensus 134 00:07:11,800 --> 00:07:13,920 Speaker 1: on that is that it was probably originally an immune 135 00:07:14,000 --> 00:07:16,960 Speaker 1: virus affecting apes. Right, And and of course there are 136 00:07:17,080 --> 00:07:20,360 Speaker 1: multiple ways for uh, for the for these this lead 137 00:07:20,400 --> 00:07:22,480 Speaker 1: to take place. You can come from the eating of animals, 138 00:07:22,480 --> 00:07:25,440 Speaker 1: from just you know, raising animals and being close proximity 139 00:07:25,480 --> 00:07:28,440 Speaker 1: with them, pats or another area. And we'll get back 140 00:07:28,440 --> 00:07:30,320 Speaker 1: to some of the details on that in a bit. Okay, So, 141 00:07:30,400 --> 00:07:34,040 Speaker 1: what were the symptoms that were identified for this unknown 142 00:07:34,120 --> 00:07:37,080 Speaker 1: type of pneumonia that was appearing in Wuhan City. Some 143 00:07:37,120 --> 00:07:41,120 Speaker 1: of the early symptoms were fever, difficulty breathing, and X 144 00:07:41,240 --> 00:07:45,520 Speaker 1: rays showing lesions in both lungs. There were initially fears 145 00:07:45,560 --> 00:07:48,560 Speaker 1: that the virus was a resurgence of the Severe Acute 146 00:07:48,560 --> 00:07:52,560 Speaker 1: Respiratory Syndrome or STARS uh an outbreak of viral infection 147 00:07:52,600 --> 00:07:55,160 Speaker 1: that killed hundreds of people worldwide in two thousand two 148 00:07:55,240 --> 00:07:58,400 Speaker 1: and two thousand three but was ultimately contained, and these 149 00:07:58,440 --> 00:08:02,360 Speaker 1: suspicions of association with STARRS were close. They were close 150 00:08:02,400 --> 00:08:05,000 Speaker 1: to the mark. On January seven, officials announced they had 151 00:08:05,080 --> 00:08:08,400 Speaker 1: identified a novel viruses, the Culprit, which was at the 152 00:08:08,440 --> 00:08:11,360 Speaker 1: time called twenty nineteen in c O V. It was 153 00:08:11,400 --> 00:08:15,960 Speaker 1: a new strain of the coronavirus family, and coronaviruses are common. 154 00:08:16,120 --> 00:08:19,600 Speaker 1: They account for all kinds of diseases, including STARS, but 155 00:08:19,720 --> 00:08:22,480 Speaker 1: also instances of the Common Cold. Like the Common Cold, 156 00:08:22,600 --> 00:08:25,960 Speaker 1: isn't caused by just one pathogen, but a range of 157 00:08:26,000 --> 00:08:30,360 Speaker 1: similar viruses that affect the upper respiratory system. On January eleven, 158 00:08:30,520 --> 00:08:33,720 Speaker 1: China announced the first death from this new disease. It 159 00:08:33,760 --> 00:08:35,560 Speaker 1: was a sixty one year old man who had passed 160 00:08:35,559 --> 00:08:38,600 Speaker 1: away two days earlier of heart failure stemming from the infection, 161 00:08:39,240 --> 00:08:42,439 Speaker 1: and confirmed infections and deaths continued to spread in the 162 00:08:42,520 --> 00:08:45,600 Speaker 1: following days. By the twenty second of January, at least 163 00:08:45,679 --> 00:08:48,160 Speaker 1: seventeen people had died in China. There were more than 164 00:08:48,240 --> 00:08:51,560 Speaker 1: five and fifty infections. Uh There were attempts to control 165 00:08:51,640 --> 00:08:54,640 Speaker 1: the spread of the disease through travel restrictions and quarantines, 166 00:08:54,800 --> 00:08:57,960 Speaker 1: but that they failed. Essentially they weren't able to contain it. 167 00:08:58,360 --> 00:09:02,240 Speaker 1: On January, the World Health Organization announced that coronavirus was 168 00:09:02,280 --> 00:09:04,920 Speaker 1: a global emergency. At this time, there had been a 169 00:09:05,000 --> 00:09:07,880 Speaker 1: hundred and seventy deaths in China, with seven thousand, seven 170 00:09:07,960 --> 00:09:11,320 Speaker 1: hundred and eleven cases reported in the country, where the 171 00:09:11,400 --> 00:09:14,280 Speaker 1: virus had spread to all thirty one provinces by this time, 172 00:09:14,600 --> 00:09:17,000 Speaker 1: and also by this time cases are popping up in 173 00:09:17,040 --> 00:09:20,160 Speaker 1: other countries around the world uh AS one note on 174 00:09:20,240 --> 00:09:22,880 Speaker 1: February seven, Lee Win Leong, who was one of the 175 00:09:22,920 --> 00:09:25,880 Speaker 1: first doctors in China to raise concerns about the new virus, 176 00:09:26,000 --> 00:09:29,120 Speaker 1: died on February eleventh. There were more than forty two 177 00:09:29,120 --> 00:09:31,960 Speaker 1: thousand infections and more than a thousand deaths in China, 178 00:09:32,360 --> 00:09:34,880 Speaker 1: and the World Health Organization at this point announced the 179 00:09:34,880 --> 00:09:38,000 Speaker 1: new coronavirus had a name, it would be the coronavirus 180 00:09:38,040 --> 00:09:42,079 Speaker 1: Disease twenty nineteen or COVID nineteen. In the weeks since, 181 00:09:42,120 --> 00:09:44,800 Speaker 1: the global spread has continued and the number of infections 182 00:09:44,840 --> 00:09:47,480 Speaker 1: and deaths has climbed, and on the day we're recording this, 183 00:09:47,640 --> 00:09:49,600 Speaker 1: I was trying to get the most updated count I 184 00:09:49,600 --> 00:09:53,760 Speaker 1: could uh. This morning, NBC News was reporting that coronavirus 185 00:09:53,800 --> 00:09:58,079 Speaker 1: today has been confirmed in at least forty countries, including Italy, Iran, 186 00:09:58,280 --> 00:10:01,480 Speaker 1: South Korea, and the United States. The most recent public 187 00:10:01,559 --> 00:10:04,720 Speaker 1: numbers indicate that more than eighty thousand cases of infection 188 00:10:04,800 --> 00:10:08,720 Speaker 1: have been confirmed and more than deaths, most of which 189 00:10:08,760 --> 00:10:11,360 Speaker 1: have been in China. As far as the United States goes, 190 00:10:11,480 --> 00:10:15,880 Speaker 1: the CDC has already announced it expects community transmission of 191 00:10:15,920 --> 00:10:19,800 Speaker 1: COVID nineteen within the United States. And community transmission is 192 00:10:19,840 --> 00:10:23,880 Speaker 1: an epidemiology term. It just means an infection is loose 193 00:10:23,960 --> 00:10:27,120 Speaker 1: and spreading naturally within a population, So it's no longer 194 00:10:27,240 --> 00:10:30,120 Speaker 1: that infections only appear in people who have traveled to 195 00:10:30,160 --> 00:10:34,040 Speaker 1: places with known outbreaks. Community transmission just means it's here 196 00:10:34,080 --> 00:10:36,599 Speaker 1: and it's spreading naturally among us. Yeah, it's kind of 197 00:10:36,600 --> 00:10:38,719 Speaker 1: like the kinder egg. Used to the kinder egg with 198 00:10:38,840 --> 00:10:41,199 Speaker 1: something that you know, you picked up on a vacation 199 00:10:41,440 --> 00:10:44,240 Speaker 1: to another country and you brought back and then you shared. Uh. 200 00:10:44,400 --> 00:10:46,440 Speaker 1: Now you can buy a form of the kinder egg 201 00:10:46,559 --> 00:10:49,160 Speaker 1: all over the place. So you know, community transmission of 202 00:10:49,160 --> 00:10:51,880 Speaker 1: the kinder egg is just a reality. Not that I'm 203 00:10:51,920 --> 00:10:55,800 Speaker 1: I'm comparing the kinder egg to coronavirus, the kindred any 204 00:10:55,800 --> 00:10:59,440 Speaker 1: other way significantly better than the Yes, definitely. So at 205 00:10:59,480 --> 00:11:01,720 Speaker 1: the time of this recording, it appears that there is 206 00:11:01,760 --> 00:11:04,800 Speaker 1: already at least one known case of community transmission in 207 00:11:04,800 --> 00:11:07,880 Speaker 1: the United States in Sacramento, California. By the time this 208 00:11:07,920 --> 00:11:10,079 Speaker 1: episode comes out, I would not be surprised if there 209 00:11:10,160 --> 00:11:13,920 Speaker 1: are more that have been documented. Uh So, questions are 210 00:11:14,200 --> 00:11:17,320 Speaker 1: how bad is this disease? How does it compare to 211 00:11:17,400 --> 00:11:21,200 Speaker 1: other diseases were familiar with? There are two important numbers 212 00:11:21,240 --> 00:11:23,320 Speaker 1: to understand when we're talking about the impact of a 213 00:11:23,360 --> 00:11:28,319 Speaker 1: novel pathogen. One is the reproduction number, also known as 214 00:11:28,480 --> 00:11:31,520 Speaker 1: are not which is spelled like R zero. I think 215 00:11:31,559 --> 00:11:34,200 Speaker 1: that's not from how the British would what would call 216 00:11:34,320 --> 00:11:37,599 Speaker 1: the zero and then the other is the case fatality 217 00:11:37,679 --> 00:11:41,440 Speaker 1: rate and the reproduction number are not tells you for 218 00:11:41,520 --> 00:11:44,920 Speaker 1: every one person who becomes infected, how many more people 219 00:11:44,960 --> 00:11:48,480 Speaker 1: are likely to are they likely to spread the infection to. 220 00:11:49,280 --> 00:11:51,920 Speaker 1: The case fatality rate is what percent of the people 221 00:11:51,920 --> 00:11:55,120 Speaker 1: who contracts the disease die from it. So, for example, 222 00:11:55,600 --> 00:11:59,760 Speaker 1: measles is a particularly nasty infection because of how easily 223 00:11:59,800 --> 00:12:02,920 Speaker 1: it's spreads in the current world with an R are 224 00:12:02,960 --> 00:12:07,360 Speaker 1: not somewhere between twelve and eighteen. So in the world today, 225 00:12:07,400 --> 00:12:10,120 Speaker 1: if you if you get measles on average, you're potentially 226 00:12:10,120 --> 00:12:12,559 Speaker 1: going to spread it to like fifteen other people, the 227 00:12:12,760 --> 00:12:16,040 Speaker 1: one reason the measles vaccine is so important. A reproduction 228 00:12:16,080 --> 00:12:19,800 Speaker 1: number greater than one indicates the diseases spreading, right because 229 00:12:19,800 --> 00:12:22,160 Speaker 1: it's being you know, it's infecting more people than are 230 00:12:22,200 --> 00:12:26,200 Speaker 1: currently infected. A reproduction number of less than one usually 231 00:12:26,200 --> 00:12:29,360 Speaker 1: indicates that an infection is dying out. I was reading 232 00:12:29,360 --> 00:12:31,720 Speaker 1: a piece by ed Young in The Atlantic. However, that 233 00:12:31,760 --> 00:12:35,720 Speaker 1: pointed out some difficulties with interpreting reproduction numbers for for 234 00:12:35,760 --> 00:12:40,640 Speaker 1: emerging diseases. For example, the reproduction number is an average, right, 235 00:12:40,679 --> 00:12:44,319 Speaker 1: so a disease that has a reproduction number of two 236 00:12:44,920 --> 00:12:48,280 Speaker 1: could mean that every single person who gets infected spreads 237 00:12:48,320 --> 00:12:51,320 Speaker 1: the pathogen to two new people. Or it could mean 238 00:12:51,360 --> 00:12:54,280 Speaker 1: that one person out of fifty spreads the disease to 239 00:12:54,360 --> 00:12:57,320 Speaker 1: a hundred people, and this this actually has been known 240 00:12:57,360 --> 00:13:00,760 Speaker 1: to happen. These cases can become known as super spreaders, 241 00:13:01,120 --> 00:13:06,840 Speaker 1: cases where certain diseases are spread uh disproportionately by select 242 00:13:06,920 --> 00:13:12,360 Speaker 1: individuals uh And perhaps counterintuitively, diseases that propagate via superspreaders 243 00:13:12,440 --> 00:13:16,160 Speaker 1: can be easier to contain than diseases that spread steadily 244 00:13:16,200 --> 00:13:19,240 Speaker 1: from person to person across all cases. I guess that 245 00:13:19,360 --> 00:13:23,040 Speaker 1: the easy go to example of this is it's typhoid Mary, right, 246 00:13:23,120 --> 00:13:26,200 Speaker 1: Mary Mallan? Yeah? Who as she wasn't the only superspreader 247 00:13:26,200 --> 00:13:29,320 Speaker 1: of typhoid or typhoid fever, I guess yeah, But she 248 00:13:29,440 --> 00:13:32,160 Speaker 1: was somebody who worked in food service and food preparation 249 00:13:32,840 --> 00:13:38,160 Speaker 1: and uh and while not showing strong symptoms of infection, 250 00:13:38,240 --> 00:13:42,920 Speaker 1: herself kept spreading the typhoid to other people. If memory serves, 251 00:13:42,960 --> 00:13:44,959 Speaker 1: there's an episode of the Nick that deals with her. 252 00:13:46,480 --> 00:13:50,280 Speaker 1: Now are there cases of superspreaders of coronavirus. It's still early, 253 00:13:50,400 --> 00:13:53,480 Speaker 1: but it seems so I was finding several examples in 254 00:13:53,520 --> 00:13:57,040 Speaker 1: news reports. For example, one report in The Guardian from 255 00:13:57,120 --> 00:14:00,319 Speaker 1: yesterday but in an article by Sarah Bosley and Martin 256 00:14:00,440 --> 00:14:05,360 Speaker 1: Bellum alleging quote. The third British case of coronavirus was 257 00:14:05,400 --> 00:14:08,600 Speaker 1: a man in his fifties who contracted the coronavirus infection 258 00:14:08,640 --> 00:14:11,880 Speaker 1: at a conference in Singapore. He then traveled to France, 259 00:14:11,920 --> 00:14:14,200 Speaker 1: where he stayed with his family in a ski chalet 260 00:14:14,280 --> 00:14:18,440 Speaker 1: at the alpine resort La Contamin Montjoy. Five people who 261 00:14:18,440 --> 00:14:20,600 Speaker 1: were in the chalet, including a boy of nine, if 262 00:14:20,600 --> 00:14:23,640 Speaker 1: tested positive for coronavirus. Since the man came back to 263 00:14:23,680 --> 00:14:27,280 Speaker 1: the UK on an easy Jet flight and was diagnosed 264 00:14:27,280 --> 00:14:30,080 Speaker 1: in Brighton, another Briton who was on holiday in the 265 00:14:30,160 --> 00:14:33,120 Speaker 1: chalet flew back to his home in Malorca and was 266 00:14:33,160 --> 00:14:36,760 Speaker 1: admitted to hospital in Palma. The chief medical officer said 267 00:14:36,800 --> 00:14:39,880 Speaker 1: four more people attested positive in England, all of whom 268 00:14:39,920 --> 00:14:43,160 Speaker 1: were also on the skiing holiday in France. So it 269 00:14:43,200 --> 00:14:46,040 Speaker 1: seems like there was a there was a massive transmission 270 00:14:46,080 --> 00:14:49,240 Speaker 1: from this one person who contracted it. I was also 271 00:14:49,320 --> 00:14:51,680 Speaker 1: reading a report of a woman in South Korea who 272 00:14:51,760 --> 00:14:54,920 Speaker 1: is at this point believed to have so far spread 273 00:14:55,000 --> 00:14:59,160 Speaker 1: the coronavirus to at least thirty seven people at her church. Yes, 274 00:14:59,160 --> 00:15:00,960 Speaker 1: I think I was reading about part part of this 275 00:15:01,040 --> 00:15:04,880 Speaker 1: deals with like this particular church. You know, they their congregation, 276 00:15:04,960 --> 00:15:07,600 Speaker 1: how they gather and then how they go out and 277 00:15:07,920 --> 00:15:10,960 Speaker 1: uh an attempt to spread the word, right, But it 278 00:15:11,040 --> 00:15:14,040 Speaker 1: could also have to do with just specifics of of 279 00:15:14,160 --> 00:15:17,600 Speaker 1: individual variation in in you know, how how your immune 280 00:15:17,640 --> 00:15:20,400 Speaker 1: system works. Like there appears to be something called a 281 00:15:20,520 --> 00:15:24,239 Speaker 1: twenty eight rule for the spread of many infectious diseases 282 00:15:24,600 --> 00:15:26,480 Speaker 1: uh to quote from a two thousand eleven paper by 283 00:15:26,600 --> 00:15:29,880 Speaker 1: Richard A. Stein and the International Journal of Infectious Diseases. 284 00:15:30,000 --> 00:15:33,960 Speaker 1: Quote in what became known as the rule, a concept 285 00:15:34,040 --> 00:15:38,479 Speaker 1: documented by observational and modeling studies and having profound implications 286 00:15:38,480 --> 00:15:42,560 Speaker 1: for infection control, twenty percent of the individuals within any 287 00:15:42,600 --> 00:15:46,440 Speaker 1: given population are thought to contribute at least eighty percent 288 00:15:46,560 --> 00:15:50,520 Speaker 1: to the transmission potential of a pathogen, and many host 289 00:15:50,560 --> 00:15:54,400 Speaker 1: pathogen interactions were found to follow this empirical rule. Now, 290 00:15:54,760 --> 00:15:57,280 Speaker 1: this isn't true of every disease, but what they're saying 291 00:15:57,360 --> 00:16:00,400 Speaker 1: is it's it's been discovered that for many disease eases 292 00:16:00,480 --> 00:16:04,440 Speaker 1: that are infectious and spread from person to person, of 293 00:16:04,480 --> 00:16:08,200 Speaker 1: the people infected do eighty percent of the spreading. Now, 294 00:16:08,240 --> 00:16:10,720 Speaker 1: I think it's it's important, of course, not to demonize 295 00:16:10,760 --> 00:16:13,880 Speaker 1: people who happen to be super spreaders. They're almost never 296 00:16:13,920 --> 00:16:17,160 Speaker 1: spreading a disease on purpose. Uh. The factors that make 297 00:16:17,240 --> 00:16:19,960 Speaker 1: somebody a super spreader still not fully understood, but it 298 00:16:20,000 --> 00:16:22,440 Speaker 1: may just have something to do with how their immune 299 00:16:22,440 --> 00:16:26,160 Speaker 1: system works. Uh. Sometimes it happens because a disease that 300 00:16:26,240 --> 00:16:30,360 Speaker 1: makes other people very obviously outwardly sick creates almost no 301 00:16:30,480 --> 00:16:32,960 Speaker 1: symptoms and the super spreader so they don't even know 302 00:16:33,000 --> 00:16:35,160 Speaker 1: they're spreading it to people. Right, And I believe this 303 00:16:35,200 --> 00:16:38,360 Speaker 1: was the case with typhoid Mary for example. Right. So yeah, 304 00:16:38,440 --> 00:16:42,440 Speaker 1: again it's important not to demonize that in any way. Well, actually, 305 00:16:42,480 --> 00:16:44,720 Speaker 1: I think with typhoid Mary, I'm not saying we should 306 00:16:44,760 --> 00:16:47,040 Speaker 1: demonize her either, but I think at some point she 307 00:16:47,200 --> 00:16:50,400 Speaker 1: was made aware but then had after that, at least 308 00:16:50,440 --> 00:16:53,200 Speaker 1: for a while, continued to work in food service. So obviously, 309 00:16:53,200 --> 00:16:55,520 Speaker 1: if you were aware that you are, you know that 310 00:16:55,520 --> 00:16:57,720 Speaker 1: that you may have an infection that could spread to 311 00:16:57,720 --> 00:17:00,480 Speaker 1: other people, you should do whatever possible not to spread 312 00:17:00,480 --> 00:17:03,440 Speaker 1: it to people. And we can talk about practical methods 313 00:17:03,440 --> 00:17:05,960 Speaker 1: for that in a bit here. But also coming back 314 00:17:06,000 --> 00:17:09,879 Speaker 1: to the reproduction number of an infection, the reproduction number, 315 00:17:10,280 --> 00:17:12,600 Speaker 1: and Young points out and actually several authors I was 316 00:17:12,600 --> 00:17:14,440 Speaker 1: looking at have have made this point. It's a very 317 00:17:14,440 --> 00:17:18,040 Speaker 1: good one. It is not a fully fixed biological feature 318 00:17:18,080 --> 00:17:21,879 Speaker 1: intrinsic to the pathogen. The reproduction number of a pathogen 319 00:17:21,960 --> 00:17:25,719 Speaker 1: can be influenced by human interventions. Young points out that 320 00:17:25,880 --> 00:17:31,000 Speaker 1: stars originally had very different reproduction numbers in China and Canada, 321 00:17:31,080 --> 00:17:33,520 Speaker 1: so you'd get are nots ranging from like two to 322 00:17:33,840 --> 00:17:36,840 Speaker 1: five or six, and this was just because of different 323 00:17:36,920 --> 00:17:40,760 Speaker 1: levels of success in diagnosing and containing the cases that appeared. 324 00:17:41,400 --> 00:17:44,760 Speaker 1: Coronavirus is no different. It's are not is influenced by 325 00:17:44,800 --> 00:17:48,880 Speaker 1: biological facts about the virus itself, but also about how 326 00:17:48,880 --> 00:17:51,399 Speaker 1: well people respond to it, what kinds of measures we 327 00:17:51,440 --> 00:17:54,760 Speaker 1: can put in place, uh to contain it and stop transmission. 328 00:17:54,760 --> 00:17:56,840 Speaker 1: And we'll get to those numbers in a second. But 329 00:17:56,920 --> 00:18:00,680 Speaker 1: also I mentioned there's there's the the inner action between 330 00:18:00,760 --> 00:18:04,120 Speaker 1: the reproduction number and the case fatality rate of an 331 00:18:04,119 --> 00:18:08,040 Speaker 1: emerging pathogen. So meanwhile, UH, the hemorrhagic fever I bola 332 00:18:08,200 --> 00:18:11,280 Speaker 1: does not spread super easily between people. It usually has 333 00:18:11,280 --> 00:18:14,720 Speaker 1: an are not between one and two. It's not highly 334 00:18:14,800 --> 00:18:18,359 Speaker 1: highly infectious, but I bola is very scary because it 335 00:18:18,440 --> 00:18:21,879 Speaker 1: has such a high case fatality rate some somewhere around 336 00:18:21,880 --> 00:18:24,159 Speaker 1: fifty percent of the people who get a bola end 337 00:18:24,240 --> 00:18:26,960 Speaker 1: up dying from it, and there are diseases with even 338 00:18:27,040 --> 00:18:30,960 Speaker 1: higher CFRs. Avian influenza A or H five in one 339 00:18:31,440 --> 00:18:35,440 Speaker 1: has a CFR somewhere around sixty percent. Coronavirus is nowhere 340 00:18:35,520 --> 00:18:37,920 Speaker 1: near that high, and in fact, depending on how you 341 00:18:38,000 --> 00:18:41,000 Speaker 1: measure it, there are greater dangers represented by much more 342 00:18:41,040 --> 00:18:45,000 Speaker 1: familiar diseases like seasonal flu. Like seasonal flu has a 343 00:18:45,080 --> 00:18:49,880 Speaker 1: lower case fatality rate than coronavirus appears to. Seasonal flu 344 00:18:50,000 --> 00:18:53,480 Speaker 1: has something like an average rate of point zero one 345 00:18:53,560 --> 00:18:56,800 Speaker 1: percent in the United States at least. However, it's still 346 00:18:56,920 --> 00:18:59,680 Speaker 1: very dangerous just because of the number of people who 347 00:18:59,680 --> 00:19:02,960 Speaker 1: get infected that this season alone, the flu has already 348 00:19:02,960 --> 00:19:07,600 Speaker 1: caused more than twenty five million infections and fourteen thousand 349 00:19:07,640 --> 00:19:11,120 Speaker 1: deaths in the United States alone. The flu usually has 350 00:19:11,160 --> 00:19:13,960 Speaker 1: a reproduction number of something like one point three, and 351 00:19:14,000 --> 00:19:17,400 Speaker 1: it comes in fairly predictable seasonal cycles, so we've kind 352 00:19:17,400 --> 00:19:19,400 Speaker 1: of gotten used to it. Even though it is still 353 00:19:19,480 --> 00:19:22,359 Speaker 1: a great I mean, it kills thousands every year, but 354 00:19:22,640 --> 00:19:25,320 Speaker 1: I guess it seems less scary to us just because 355 00:19:25,480 --> 00:19:27,960 Speaker 1: it's been around. We we sort of know what to 356 00:19:28,000 --> 00:19:31,320 Speaker 1: look for now. So as for the specific reproduction number 357 00:19:31,320 --> 00:19:34,720 Speaker 1: in case fatality rate of the new coronavirus, at one point, 358 00:19:34,720 --> 00:19:38,000 Speaker 1: the World Health Organization estimated that its reproduction number was 359 00:19:38,040 --> 00:19:41,639 Speaker 1: between about one point four and two point five. I 360 00:19:41,680 --> 00:19:44,560 Speaker 1: was reading a recent study from the journal Travel Medicine 361 00:19:44,600 --> 00:19:47,840 Speaker 1: which reviewed studies from between January one of this year 362 00:19:48,280 --> 00:19:50,720 Speaker 1: and the seventh of February this year, and for this 363 00:19:50,800 --> 00:19:54,320 Speaker 1: time period the author's right quote, we identified twelve studies 364 00:19:54,320 --> 00:19:57,680 Speaker 1: which estimated the basic reproductive number for the COVID nineteen 365 00:19:57,800 --> 00:20:01,160 Speaker 1: from China and overseas UH. The estimates range from one 366 00:20:01,200 --> 00:20:04,080 Speaker 1: point four to six point four nine, with a mean 367 00:20:04,280 --> 00:20:06,800 Speaker 1: of three point to eight, a median of two point 368 00:20:06,840 --> 00:20:10,399 Speaker 1: seven nine, and interquartile range of one point one six. 369 00:20:10,760 --> 00:20:14,040 Speaker 1: So maybe the range is by our best estimates now 370 00:20:14,119 --> 00:20:18,440 Speaker 1: currently averaging between like two point five and three point five. 371 00:20:18,480 --> 00:20:22,280 Speaker 1: I've also seen estimates between two and three, though, again 372 00:20:22,320 --> 00:20:25,240 Speaker 1: to drive home, those numbers could change a lot depending 373 00:20:25,240 --> 00:20:28,919 Speaker 1: on what kinds of new UH new diagnostic methods and 374 00:20:28,960 --> 00:20:33,280 Speaker 1: containment methods come online. Reproduction numbers for a new emergent 375 00:20:33,400 --> 00:20:35,520 Speaker 1: virus I think are going to tend to be higher 376 00:20:35,520 --> 00:20:38,240 Speaker 1: than they are for something that we're better at looking for, 377 00:20:38,400 --> 00:20:41,399 Speaker 1: because it takes us longer to recognize it and and 378 00:20:41,480 --> 00:20:45,320 Speaker 1: stop it spread. As for the case fatality rate, overall, 379 00:20:45,480 --> 00:20:49,160 Speaker 1: it appears to be somewhere around two percent on average, 380 00:20:49,160 --> 00:20:51,879 Speaker 1: but it also varies greatly based on factors like the 381 00:20:51,920 --> 00:20:55,000 Speaker 1: age of the infected person and perhaps other factors that 382 00:20:55,040 --> 00:20:58,159 Speaker 1: haven't come into focus yet. One relieving thing about it 383 00:20:58,200 --> 00:21:00,760 Speaker 1: is that the disease, at least so for appears to 384 00:21:00,800 --> 00:21:05,120 Speaker 1: be pretty mild rate bordering on non existent in children. 385 00:21:05,240 --> 00:21:07,720 Speaker 1: Children rarely seem to get it, and when they do, 386 00:21:07,920 --> 00:21:10,520 Speaker 1: it's usually not severe and they don't die from it. 387 00:21:10,920 --> 00:21:13,879 Speaker 1: Elderly populations, on the other hand, or people with compromised 388 00:21:13,920 --> 00:21:17,200 Speaker 1: immune systems or other pre existing diseases, are at much 389 00:21:17,280 --> 00:21:19,760 Speaker 1: higher risk. With the case fatality rate that could reach 390 00:21:19,800 --> 00:21:22,399 Speaker 1: in some cases up to about fifteen percent, which is 391 00:21:22,440 --> 00:21:24,280 Speaker 1: a lot. So at this point we shoul probably getto 392 00:21:24,320 --> 00:21:26,440 Speaker 1: the symptoms a bit. You know, what are the symptoms 393 00:21:26,440 --> 00:21:29,560 Speaker 1: as we understand them so far? For coronavirus. Right. So 394 00:21:29,600 --> 00:21:32,000 Speaker 1: there are a lot of complications because the disease is 395 00:21:32,080 --> 00:21:33,920 Speaker 1: so new, and we also don't yet have a good 396 00:21:33,920 --> 00:21:37,560 Speaker 1: sense of how many people can become infected without showing 397 00:21:37,640 --> 00:21:40,200 Speaker 1: major symptoms. It appears that at least some people are 398 00:21:40,359 --> 00:21:44,520 Speaker 1: getting this virus without major symptoms, which is actually you 399 00:21:44,600 --> 00:21:47,080 Speaker 1: might think, oh, that sounds good, but that's actually very bad. 400 00:21:47,440 --> 00:21:50,280 Speaker 1: That can help it spread because some of these others, 401 00:21:50,520 --> 00:21:54,159 Speaker 1: these other pathogens that we discussed here, like one of 402 00:21:54,200 --> 00:21:56,119 Speaker 1: the reasons we were able to control them is because 403 00:21:56,119 --> 00:21:59,520 Speaker 1: it became abundantly obvious when you had them. You know, 404 00:21:59,840 --> 00:22:02,719 Speaker 1: you would have like a debilitating fever or something. Uh, 405 00:22:02,760 --> 00:22:05,639 Speaker 1: and you knew something was wrong and and you we 406 00:22:05,680 --> 00:22:07,520 Speaker 1: went and sought help, and then it could be uh, 407 00:22:07,560 --> 00:22:10,320 Speaker 1: there was a red flag there for medical professionals. Right. 408 00:22:10,440 --> 00:22:13,120 Speaker 1: You're less likely to spread it to more people that way. Um. 409 00:22:13,160 --> 00:22:16,120 Speaker 1: And then there's another complication along the same lines, which 410 00:22:16,160 --> 00:22:19,200 Speaker 1: is that it appears there might be a long incubation 411 00:22:19,280 --> 00:22:23,520 Speaker 1: period before some people end up showing symptoms. Estimates have 412 00:22:23,600 --> 00:22:26,240 Speaker 1: been anywhere from like two to fourteen days. We just 413 00:22:26,320 --> 00:22:29,400 Speaker 1: don't really know for sure. But again that's not good. 414 00:22:29,440 --> 00:22:32,640 Speaker 1: You don't want people to be uh in a stage 415 00:22:32,680 --> 00:22:36,720 Speaker 1: where they could potentially be contagious while they're not showing symptoms. 416 00:22:37,080 --> 00:22:40,040 Speaker 1: But when symptoms do manifest, the basic outlook seems to 417 00:22:40,080 --> 00:22:43,160 Speaker 1: be familiar. You know. It's like a lot of other 418 00:22:43,200 --> 00:22:47,800 Speaker 1: respiratory infections. It's going to be fever, cough, shortness of breath. 419 00:22:47,960 --> 00:22:50,600 Speaker 1: Those are the main ones. Uh. And then there have 420 00:22:50,640 --> 00:22:57,640 Speaker 1: been other, like smaller instances of things like uh, digestive trouble, diarrhea, sneezing. 421 00:22:58,240 --> 00:23:00,240 Speaker 1: But but the main ones are fever, ca off in, 422 00:23:00,280 --> 00:23:03,199 Speaker 1: shortness of breath. Now, at an early stage of an 423 00:23:03,200 --> 00:23:06,760 Speaker 1: outbreak like this, there's a lot of danger that's not 424 00:23:06,840 --> 00:23:11,360 Speaker 1: just the disease itself, but danger from misinformation, from a panic, 425 00:23:11,600 --> 00:23:15,560 Speaker 1: from pseudoscience plowing into people's brains. Uh. We were both 426 00:23:15,640 --> 00:23:18,920 Speaker 1: reading a good article by Kate Kellen and Reuter's that 427 00:23:19,080 --> 00:23:22,639 Speaker 1: was just about bad science that had been published on 428 00:23:22,720 --> 00:23:26,320 Speaker 1: preprint servers without peer review and then spread around on 429 00:23:26,359 --> 00:23:29,600 Speaker 1: the internet and only to later be retracted. Like there 430 00:23:29,640 --> 00:23:32,320 Speaker 1: there was a study that I think sourced the outbreak 431 00:23:32,359 --> 00:23:34,720 Speaker 1: of the virus two snakes, and this turned out to 432 00:23:34,760 --> 00:23:37,800 Speaker 1: not be true. Uh. There was one that said, uh, 433 00:23:37,880 --> 00:23:40,440 Speaker 1: the virus may have come from outer space or from 434 00:23:40,560 --> 00:23:44,360 Speaker 1: upper in the atmosphere. That probably isn't correct. Um. There 435 00:23:44,440 --> 00:23:48,080 Speaker 1: was another one that was likening it to HIV, saying 436 00:23:48,080 --> 00:23:51,840 Speaker 1: there were these similarities between coronavirus and HIV. That was 437 00:23:51,880 --> 00:23:55,520 Speaker 1: widely criticized. So I would say be careful where you're 438 00:23:55,520 --> 00:23:58,720 Speaker 1: getting your information from right now. There's a tendency because 439 00:23:58,760 --> 00:24:02,679 Speaker 1: there are so many unknown for very quickly produced and 440 00:24:02,720 --> 00:24:05,879 Speaker 1: in some cases sloppy science to get out there on 441 00:24:05,960 --> 00:24:10,040 Speaker 1: preprint servers without proper peer review, and then to just 442 00:24:10,080 --> 00:24:13,560 Speaker 1: get picked up by news sites. Yeah. As I'll probably 443 00:24:13,880 --> 00:24:17,159 Speaker 1: drive home again later. The CDC and and the w 444 00:24:17,359 --> 00:24:19,880 Speaker 1: h O are both great places to look for answers 445 00:24:20,440 --> 00:24:23,720 Speaker 1: and if if you hear something that is a little suspect, 446 00:24:23,880 --> 00:24:26,040 Speaker 1: that's a great place to go to see if there 447 00:24:26,080 --> 00:24:30,000 Speaker 1: is any validity to it. Yeah. Uh, there're hoaxes abounding there, 448 00:24:30,119 --> 00:24:32,520 Speaker 1: and you know there there can be really negative results, 449 00:24:32,560 --> 00:24:35,240 Speaker 1: like there have been riots in Ukraine in response to 450 00:24:35,280 --> 00:24:38,639 Speaker 1: the disease. One thing that should not need to be said, 451 00:24:38,720 --> 00:24:42,200 Speaker 1: but then again, I guess it's it's unbelievable how quickly 452 00:24:42,280 --> 00:24:46,000 Speaker 1: people can succumb to racist, magical thinking. You do not 453 00:24:46,200 --> 00:24:49,199 Speaker 1: need to be afraid of Chinese people. You do not 454 00:24:49,320 --> 00:24:52,440 Speaker 1: need to be afraid of eating Chinese food or interacting 455 00:24:52,440 --> 00:24:55,959 Speaker 1: with Chinese Americans or any other ethnic Chinese people. The 456 00:24:56,000 --> 00:24:59,280 Speaker 1: fact that the virus first appeared in Wuhan does not 457 00:24:59,440 --> 00:25:01,800 Speaker 1: mean that Chinese people in any other part of the 458 00:25:01,840 --> 00:25:05,040 Speaker 1: world they're likely to be infected. Use your brain. Yeah, 459 00:25:05,040 --> 00:25:08,199 Speaker 1: there there have been reports of increased racist attacks on 460 00:25:08,320 --> 00:25:12,160 Speaker 1: people of Chinese and East Asian origin in Australia, Canada, 461 00:25:12,320 --> 00:25:15,600 Speaker 1: and the United States, and per CNN is reporting on 462 00:25:15,640 --> 00:25:18,400 Speaker 1: the matter. We're talking you know, everything from just idiots 463 00:25:18,400 --> 00:25:22,000 Speaker 1: on the train saying idiotic things to strangers, um, which 464 00:25:22,040 --> 00:25:23,600 Speaker 1: I guess is the sort of thing that's can be 465 00:25:23,640 --> 00:25:25,919 Speaker 1: expected in the in the best of times, right when 466 00:25:25,960 --> 00:25:29,480 Speaker 1: there's not some sort of additional stress or like this. 467 00:25:29,880 --> 00:25:34,400 Speaker 1: But then there are also cases of motel employees um 468 00:25:34,440 --> 00:25:38,439 Speaker 1: being abusive to guests just because they have you know, 469 00:25:38,480 --> 00:25:41,560 Speaker 1: the right balance of fear and misinformation on hand, right, 470 00:25:41,600 --> 00:25:44,359 Speaker 1: And it would just be ignorance and fear because obviously 471 00:25:44,720 --> 00:25:49,160 Speaker 1: the disease does not have like a racial component or something, right. Yeah, 472 00:25:49,200 --> 00:25:51,800 Speaker 1: this is not an Asian illness, this is a human illness. 473 00:25:52,320 --> 00:25:55,040 Speaker 1: It seemingly became a human illness in China, but in 474 00:25:55,080 --> 00:25:58,680 Speaker 1: doing so it crossed that species barrier. Uh. Coronavirus does 475 00:25:58,720 --> 00:26:01,360 Speaker 1: not care about your race or nationality. We are all 476 00:26:01,400 --> 00:26:04,199 Speaker 1: just potential vessels for it. And then in terms of 477 00:26:04,240 --> 00:26:07,280 Speaker 1: it being a zoonotic disease of it making this leap um, 478 00:26:07,920 --> 00:26:11,000 Speaker 1: we do have to again drive home that zoonotic diseases 479 00:26:11,240 --> 00:26:15,680 Speaker 1: can be found everywhere, every country, every culture, every language, 480 00:26:15,680 --> 00:26:19,320 Speaker 1: every people. For as long as humans have interacted with animals, 481 00:26:19,600 --> 00:26:21,600 Speaker 1: and for as long as we continue to do so, 482 00:26:21,920 --> 00:26:25,240 Speaker 1: we will all be open to potential infection by direct contact, 483 00:26:25,400 --> 00:26:29,480 Speaker 1: indirect contact, vector born illnesses, food born illnesses, and water 484 00:26:29,520 --> 00:26:34,000 Speaker 1: born illnesses. Uh. It can and does happen everywhere. The 485 00:26:34,040 --> 00:26:35,800 Speaker 1: best any of us can do per the c d 486 00:26:35,880 --> 00:26:39,080 Speaker 1: C is to wash your hands, stay safe around pets, 487 00:26:39,280 --> 00:26:44,280 Speaker 1: prevent parasite bites, practice food safety, animal interaction safety, and 488 00:26:44,320 --> 00:26:48,440 Speaker 1: avoid animal bites and scratches as well. And then finally, 489 00:26:48,640 --> 00:26:50,240 Speaker 1: I do want to just I really want to drive 490 00:26:50,280 --> 00:26:53,280 Speaker 1: home that Dean Koontz did not predict the outbreak in 491 00:26:53,280 --> 00:26:58,680 Speaker 1: his nine novel Surely now this is one of the 492 00:26:58,960 --> 00:27:01,160 Speaker 1: because there's a lot there are a lot of memes 493 00:27:01,520 --> 00:27:04,720 Speaker 1: and going around a lot of misinformation, and you know, 494 00:27:04,800 --> 00:27:07,920 Speaker 1: some of it is kind of harmless like this. I mean, ultimately, 495 00:27:08,040 --> 00:27:11,800 Speaker 1: I don't think anybody's actually going after Dean Koontz on 496 00:27:11,920 --> 00:27:15,359 Speaker 1: this matter. But but this is another one that has 497 00:27:15,400 --> 00:27:20,560 Speaker 1: been I think, pretty pretty debunked, where it's like basically 498 00:27:20,640 --> 00:27:23,320 Speaker 1: he one of one of his novel Novelly wrote in 499 00:27:23,960 --> 00:27:28,480 Speaker 1: one has some sort of a fictional manufactured disease pop up, 500 00:27:28,800 --> 00:27:31,960 Speaker 1: and in at least one version of the novel, it 501 00:27:32,000 --> 00:27:37,800 Speaker 1: has its origins in in Wuhan. And actually in this case, 502 00:27:37,960 --> 00:27:40,320 Speaker 1: you know, certainly if this if people pick up and 503 00:27:40,400 --> 00:27:43,800 Speaker 1: run with this, it's I mean, it's so illogical, but 504 00:27:43,840 --> 00:27:47,320 Speaker 1: I guess you could imagine someone using this as some 505 00:27:47,359 --> 00:27:51,040 Speaker 1: additional rationale for conspiracy, thinking about it like, oh, this 506 00:27:51,080 --> 00:27:52,720 Speaker 1: is some sort of man made weapon, this is not 507 00:27:52,800 --> 00:27:54,960 Speaker 1: something that occurred naturally, and so forth, which is all 508 00:27:55,400 --> 00:28:01,080 Speaker 1: uh nonsense. Um, but oh yeah, I guess we didn't 509 00:28:01,080 --> 00:28:03,040 Speaker 1: bring that up. But like that, that is another one 510 00:28:03,040 --> 00:28:05,080 Speaker 1: of the crazy rumors that's going around, is that this 511 00:28:05,160 --> 00:28:08,080 Speaker 1: is some kind of bioweapon. I was able to find 512 00:28:08,160 --> 00:28:11,440 Speaker 1: no evidence at all. I mean, it seems like this 513 00:28:11,520 --> 00:28:14,720 Speaker 1: is yet another one of these zoonotic diseases. These kinds 514 00:28:14,760 --> 00:28:18,200 Speaker 1: of things emerge all the time. It does not need 515 00:28:18,320 --> 00:28:21,639 Speaker 1: some kind of crazy conspiracy explanation, right. But again, this 516 00:28:21,720 --> 00:28:24,240 Speaker 1: is exactly the sort of crazy conspiracy explanation that is 517 00:28:24,280 --> 00:28:28,360 Speaker 1: always touted whenever there is some sort of a new illness. 518 00:28:28,400 --> 00:28:30,119 Speaker 1: It's like like, what if it's a bioweapon? Must be 519 00:28:30,160 --> 00:28:33,639 Speaker 1: a bioweapon, must have, must be. You know, they are 520 00:28:33,680 --> 00:28:35,720 Speaker 1: created by one side to punish the other. That sort 521 00:28:35,760 --> 00:28:39,320 Speaker 1: of thing. Um. But I will say one other thing 522 00:28:39,320 --> 00:28:43,000 Speaker 1: about Dean Coon's though, is that Watchers is pretty awesome. 523 00:28:43,160 --> 00:28:45,480 Speaker 1: And uh and and and you know, I think maybe 524 00:28:45,480 --> 00:28:48,480 Speaker 1: we need another film adaptation, So spread your love for Watchers, 525 00:28:48,600 --> 00:28:51,920 Speaker 1: not information about COVID nineteen. I never saw the movie. 526 00:28:51,960 --> 00:28:54,920 Speaker 1: I read the book. I love that book in high school. Yeah, 527 00:28:54,960 --> 00:28:57,040 Speaker 1: I don't know how I feel now, though I do recall. 528 00:28:57,120 --> 00:28:59,840 Speaker 1: I don't it pretty wacky as I as I remember. 529 00:28:59,880 --> 00:29:02,800 Speaker 1: It's one of those books that this is such a thing, 530 00:29:03,560 --> 00:29:06,760 Speaker 1: books that loves to give the full correct name of 531 00:29:06,880 --> 00:29:10,280 Speaker 1: types of guns, you know, or like the terration can't 532 00:29:10,320 --> 00:29:13,080 Speaker 1: just be like, you know, the dude grabbed his gun. 533 00:29:13,200 --> 00:29:16,640 Speaker 1: It's like the dude grabbed his nine millimeter modified stock 534 00:29:16,680 --> 00:29:20,840 Speaker 1: oozy carbine. I don't know exactly what that impulse in 535 00:29:20,880 --> 00:29:23,640 Speaker 1: the author is. It's very funny to me. But it 536 00:29:23,680 --> 00:29:25,920 Speaker 1: also had a talking dog, which was awesome, and had 537 00:29:25,960 --> 00:29:30,320 Speaker 1: a talking dog, a monster, and then a human assassin 538 00:29:30,440 --> 00:29:33,280 Speaker 1: that either thought he gained the life forces of people 539 00:29:33,280 --> 00:29:36,320 Speaker 1: who are actually did um. I don't think that made 540 00:29:36,360 --> 00:29:38,080 Speaker 1: it into the movie. But you know who did make 541 00:29:38,120 --> 00:29:41,480 Speaker 1: it into the movie, Michael Ironside. Oh, I gotta see 542 00:29:41,520 --> 00:29:45,160 Speaker 1: it now. And in the subsequent like the Ironside completion 543 00:29:45,600 --> 00:29:47,280 Speaker 1: and the a Iron Sides in it, I'm there. But 544 00:29:47,320 --> 00:29:52,000 Speaker 1: then get this. The subsequent sequels involved Mark Singer wings 545 00:29:52,040 --> 00:29:55,560 Speaker 1: Houser and then Mark Hamill. So there's there's there's plenty 546 00:29:55,600 --> 00:29:57,680 Speaker 1: to go on there. I think we need to take 547 00:29:57,720 --> 00:29:59,560 Speaker 1: a break, but when we come back, we can talk 548 00:29:59,600 --> 00:30:07,320 Speaker 1: about what you can do about the coronavirus. Alright, we're back. 549 00:30:07,480 --> 00:30:10,120 Speaker 1: So I guess one of the big ones to drive 550 00:30:10,160 --> 00:30:14,320 Speaker 1: home is just don't panic. Right. Uh. It's also important 551 00:30:14,440 --> 00:30:17,040 Speaker 1: to remember that the vast majority of infected people will 552 00:30:17,080 --> 00:30:20,520 Speaker 1: not suffer severe symptoms, and some will have no symptoms 553 00:30:20,520 --> 00:30:23,400 Speaker 1: at all, which again is a positive and a negative 554 00:30:23,440 --> 00:30:26,240 Speaker 1: depending on how you look at it. As we discussed previously, 555 00:30:26,760 --> 00:30:29,000 Speaker 1: so this is not the common cold, but it's also 556 00:30:29,080 --> 00:30:32,000 Speaker 1: not a fictional super plague out of your favorite pulp novel. 557 00:30:32,440 --> 00:30:36,280 Speaker 1: For multiple reasons, including not just self interested reasons. You 558 00:30:36,280 --> 00:30:40,080 Speaker 1: should do everything you reasonably can not to get infected, 559 00:30:40,200 --> 00:30:41,840 Speaker 1: but you also don't need to have it in your 560 00:30:41,840 --> 00:30:43,560 Speaker 1: head that this is going to kill us all again. 561 00:30:43,680 --> 00:30:47,320 Speaker 1: Like even in these very early sort of worst case 562 00:30:47,360 --> 00:30:51,040 Speaker 1: scenarios like what happened in Muhan, the CFR, on average, 563 00:30:51,080 --> 00:30:53,280 Speaker 1: it's still fairly low compared to a lot of other 564 00:30:53,520 --> 00:30:57,280 Speaker 1: scary outbreaks. And as we say this, I do have 565 00:30:57,320 --> 00:30:59,600 Speaker 1: to admit, you know, it is easy to sort of 566 00:30:59,600 --> 00:31:02,200 Speaker 1: get a panicky if you just especially if you're kind 567 00:31:02,200 --> 00:31:05,200 Speaker 1: of plugged into social media and you're just kind of 568 00:31:05,240 --> 00:31:08,640 Speaker 1: scrolling through. I mean, I I find myself feeling a 569 00:31:08,680 --> 00:31:12,000 Speaker 1: little this just scrolling through a news app that I respect. 570 00:31:12,520 --> 00:31:14,840 Speaker 1: You know that that then I trust You're just you're 571 00:31:14,840 --> 00:31:17,400 Speaker 1: getting a lot of coverage about it right now, where 572 00:31:17,440 --> 00:31:19,760 Speaker 1: it's covering the you know, the economic side of it, 573 00:31:19,840 --> 00:31:24,959 Speaker 1: You're it's covering the the epidemiology of it, the just 574 00:31:25,000 --> 00:31:28,240 Speaker 1: the basic medical challenge of the scenario. And if you 575 00:31:28,360 --> 00:31:31,560 Speaker 1: just keep plugging into it, you can kind of eventually 576 00:31:31,640 --> 00:31:35,480 Speaker 1: feed the monster of paranoia in your head. Yeah, some 577 00:31:35,560 --> 00:31:38,840 Speaker 1: of the political reactions are not reassuring. Yeah, because that's 578 00:31:38,840 --> 00:31:41,440 Speaker 1: another thing that's that's part of the news cycle concerning it, 579 00:31:41,480 --> 00:31:43,719 Speaker 1: is what how our government's dealing with it, how our 580 00:31:43,760 --> 00:31:46,640 Speaker 1: politicians dealing with it, and some of the communication out 581 00:31:46,640 --> 00:31:49,640 Speaker 1: there on this front has been highly criticized. Yes, uh So, 582 00:31:49,840 --> 00:31:51,960 Speaker 1: one thing though that I think you can do that 583 00:31:52,000 --> 00:31:55,760 Speaker 1: will help. Uh Number one, of course actually have practical benefits, 584 00:31:55,760 --> 00:31:57,720 Speaker 1: but also you know, give you more of a sense 585 00:31:57,720 --> 00:32:01,520 Speaker 1: of control, is to pay attention to real best practices 586 00:32:01,560 --> 00:32:05,280 Speaker 1: for disease control. So basic practical steps to prevent infection. 587 00:32:05,720 --> 00:32:07,600 Speaker 1: A lot of these are gonna sound familiar to you 588 00:32:07,640 --> 00:32:10,600 Speaker 1: because they're essentially the same tactics believed to protect against 589 00:32:10,600 --> 00:32:13,760 Speaker 1: the spread of other known respiratory diseases. So if you 590 00:32:13,800 --> 00:32:17,280 Speaker 1: are trying to avoid infection, first of all, most importantly, 591 00:32:17,560 --> 00:32:21,400 Speaker 1: avoid close physical contact with people who are sick. However possible, 592 00:32:21,800 --> 00:32:25,360 Speaker 1: limit exposure to anybody who's coughing, sneezing, or running a fever. 593 00:32:25,760 --> 00:32:28,160 Speaker 1: How close is too close well, as a general rule, 594 00:32:28,200 --> 00:32:31,120 Speaker 1: the CDC recommends staying about one meter or three feet 595 00:32:31,120 --> 00:32:33,880 Speaker 1: away from anyone who is coughing or sneezing. That that's 596 00:32:33,920 --> 00:32:38,000 Speaker 1: just a general rule, uh for coronavirus. I've seen other 597 00:32:38,040 --> 00:32:41,240 Speaker 1: experts recommending staying at least five feet away or six 598 00:32:41,280 --> 00:32:45,920 Speaker 1: feet away. Obviously farther is better. Another one avoid touching 599 00:32:45,960 --> 00:32:50,200 Speaker 1: your face with your hands. A really common transmission route 600 00:32:50,240 --> 00:32:54,760 Speaker 1: for many diseases is that droplets containing infectious agents go 601 00:32:54,920 --> 00:32:57,400 Speaker 1: from a surface out in the world that you touch 602 00:32:57,840 --> 00:33:01,800 Speaker 1: to your hands and then your face, especially your eyes, nose, 603 00:33:01,920 --> 00:33:04,760 Speaker 1: or mouth. Yeah, and reading about all this makes me 604 00:33:04,800 --> 00:33:07,920 Speaker 1: realize that I'm terrible at this. Not not that I'm 605 00:33:07,960 --> 00:33:11,040 Speaker 1: like constantly pawing at my face or like jabbing my 606 00:33:11,120 --> 00:33:14,800 Speaker 1: eyes or anything, but while I'm thinking about something or 607 00:33:14,840 --> 00:33:18,400 Speaker 1: researching something, I will typically like bring my hand to 608 00:33:18,880 --> 00:33:22,000 Speaker 1: my lower face region, like to my chin, but often 609 00:33:22,040 --> 00:33:25,280 Speaker 1: to like to to my mouth region. And uh, And 610 00:33:25,440 --> 00:33:27,840 Speaker 1: I'm not sure how I curb myself of that, if 611 00:33:27,880 --> 00:33:31,080 Speaker 1: I should start wearing boxing gloves or or what what 612 00:33:31,200 --> 00:33:32,760 Speaker 1: the best course of action is there? I don't know, 613 00:33:32,800 --> 00:33:37,440 Speaker 1: are you touching the boxing gloves to door knobs and stuff? Um? Coolkay? Yeah, 614 00:33:37,440 --> 00:33:39,040 Speaker 1: that doesn't really help, does it? But maybe if I 615 00:33:39,080 --> 00:33:41,320 Speaker 1: had the gloves on, they would be a reminder. It's like, oh, 616 00:33:41,360 --> 00:33:43,920 Speaker 1: this is not the comforting gesture that I that I 617 00:33:43,960 --> 00:33:46,760 Speaker 1: am familiar with. This is a giant boxing glove. Well, 618 00:33:46,800 --> 00:33:48,400 Speaker 1: we can come back to that in a minute. Okay, 619 00:33:48,440 --> 00:33:50,680 Speaker 1: So on top of that, and actually, I think I 620 00:33:50,720 --> 00:33:52,880 Speaker 1: said something else might be most important. This might be 621 00:33:52,920 --> 00:33:55,160 Speaker 1: most important. I don't know if I can rank what's 622 00:33:55,200 --> 00:33:59,320 Speaker 1: most important. Wash your hands very familiar advice, but it 623 00:33:59,400 --> 00:34:02,800 Speaker 1: really works with soap and water for at least twenty seconds. 624 00:34:02,800 --> 00:34:07,080 Speaker 1: Wash them frequently, especially after touching surfaces in a public place, 625 00:34:07,200 --> 00:34:10,040 Speaker 1: especially after going to the bathroom, after blowing your nose, 626 00:34:10,200 --> 00:34:13,040 Speaker 1: coughing or sneezing. Yeah, it's easy to lose sight of 627 00:34:13,080 --> 00:34:16,239 Speaker 1: the importance of this, in part because authority figures and 628 00:34:16,360 --> 00:34:20,160 Speaker 1: signs are constantly telling you that you should wash your hands, 629 00:34:20,400 --> 00:34:23,440 Speaker 1: and some of us maybe feel an innate rebellion against that, 630 00:34:23,600 --> 00:34:26,400 Speaker 1: or it's also generally not something we enjoy. We kind 631 00:34:26,440 --> 00:34:28,839 Speaker 1: of rushed through it, right. It's easy to rush through 632 00:34:28,840 --> 00:34:30,799 Speaker 1: those twenty seconds if you're just trying to get back 633 00:34:30,800 --> 00:34:33,400 Speaker 1: to your your desk to to finish working, or you 634 00:34:33,400 --> 00:34:34,880 Speaker 1: have somewhere to go. You have to pick up a 635 00:34:34,920 --> 00:34:40,000 Speaker 1: kid or something, but it is extremely important. Um, Luckily, 636 00:34:40,120 --> 00:34:42,359 Speaker 1: I feel like I am pretty good about this, but 637 00:34:42,400 --> 00:34:46,319 Speaker 1: my son is super good about this because not not 638 00:34:46,400 --> 00:34:51,200 Speaker 1: because he's super conscientious about the importance of staying German free, 639 00:34:51,400 --> 00:34:53,759 Speaker 1: as much as that he just gets carried away with 640 00:34:53,800 --> 00:34:56,319 Speaker 1: putting soap on his hands. So it'll like he like 641 00:34:56,360 --> 00:34:59,680 Speaker 1: soap up his hands for like, you know, half a minute. 642 00:35:00,120 --> 00:35:02,480 Speaker 1: Then it's like a process of like filling up his 643 00:35:02,560 --> 00:35:05,640 Speaker 1: cupped palms with water and then releasing it, and then 644 00:35:05,719 --> 00:35:07,680 Speaker 1: he'll ye have left to his own devices to like 645 00:35:07,719 --> 00:35:10,560 Speaker 1: wash his hands for two minutes. Yeah, water and soap 646 00:35:10,600 --> 00:35:13,319 Speaker 1: are amazing textures and things. They can be a lot 647 00:35:13,360 --> 00:35:16,960 Speaker 1: of fun. So maybe that, maybe that really is the message. 648 00:35:17,000 --> 00:35:19,360 Speaker 1: If you are a kind of person who finds yourself 649 00:35:19,440 --> 00:35:21,680 Speaker 1: rushing through washing your hands a little bit too much, 650 00:35:21,960 --> 00:35:27,400 Speaker 1: take time to appreciate the tactile sensations and the warm water. Uh, 651 00:35:27,640 --> 00:35:30,239 Speaker 1: you know, maybe you'll enjoy it. Also, if nobody has 652 00:35:30,280 --> 00:35:33,759 Speaker 1: ever offered you technical tips on washing your hands, here's 653 00:35:33,760 --> 00:35:36,719 Speaker 1: one I read in a couple of sources. Especially, pay 654 00:35:36,800 --> 00:35:40,759 Speaker 1: close attention to making sure your fingertips get clean. A 655 00:35:40,840 --> 00:35:42,520 Speaker 1: lot of times when we wash our hands, we just 656 00:35:42,560 --> 00:35:45,200 Speaker 1: kind of like rub our palms together a lot. Pay 657 00:35:45,239 --> 00:35:48,680 Speaker 1: attention to your finger tips and under your finger nails, 658 00:35:49,280 --> 00:35:51,759 Speaker 1: because what happens when you actually like handle food or 659 00:35:51,800 --> 00:35:54,480 Speaker 1: touch your face a lot of times it's your fingertips, right, Yeah, 660 00:35:54,480 --> 00:35:58,560 Speaker 1: those that's are the way we manually manipulate things. Alternately, 661 00:35:58,600 --> 00:36:01,239 Speaker 1: you can clean your hands with an alcohol based disinfectant 662 00:36:01,239 --> 00:36:04,040 Speaker 1: product like a hand sanitizer gel. These need to be 663 00:36:04,080 --> 00:36:07,480 Speaker 1: at least sixty alcohol, but some sources say soap and 664 00:36:07,520 --> 00:36:09,719 Speaker 1: water are better, or at least the evidence for the 665 00:36:09,760 --> 00:36:13,640 Speaker 1: effectiveness of soap and water is better. Next to whatever extent, 666 00:36:13,680 --> 00:36:17,360 Speaker 1: you can clean and disinfect frequently touched surfaces in your house, 667 00:36:17,440 --> 00:36:20,760 Speaker 1: your workplace, whatever. You know, you're you're touching the door knob, 668 00:36:20,840 --> 00:36:23,239 Speaker 1: you're touching the this and that. You know what these 669 00:36:23,239 --> 00:36:25,600 Speaker 1: things are in your house, clean them off, yeah, And 670 00:36:25,640 --> 00:36:28,560 Speaker 1: I mean the thing that may seem counterintuitive about this 671 00:36:28,680 --> 00:36:31,000 Speaker 1: is that these are not necessarily the places that we're 672 00:36:31,040 --> 00:36:34,279 Speaker 1: dropping a lot of food or getting sticky that sort 673 00:36:34,320 --> 00:36:36,839 Speaker 1: of thing. These are just the the features of your 674 00:36:36,840 --> 00:36:40,640 Speaker 1: house that are commonly manipulated and touched. Another thing that 675 00:36:40,719 --> 00:36:44,000 Speaker 1: might help is you might want to avoid unnecessary exposure 676 00:36:44,000 --> 00:36:47,160 Speaker 1: to large, close crowds or public gatherings. I was just 677 00:36:47,239 --> 00:36:51,200 Speaker 1: reading that Switzerland today has issued a temporary ban on 678 00:36:51,239 --> 00:36:54,879 Speaker 1: all public and private gatherings of more than a thousand people. Yeah. 679 00:36:55,280 --> 00:36:58,279 Speaker 1: In in Japan, you're seeing a well, certainly in an Asi, 680 00:36:58,320 --> 00:37:02,239 Speaker 1: you're seeing various concerts that have been postponed. I conventions 681 00:37:02,280 --> 00:37:05,160 Speaker 1: have been shut down. Yeah. I follow New Japan Pro 682 00:37:05,200 --> 00:37:08,879 Speaker 1: Wrestling in Japan, and they just canceled half of their 683 00:37:08,880 --> 00:37:12,640 Speaker 1: live events from March and conceivably could cancel more of them. 684 00:37:12,840 --> 00:37:16,040 Speaker 1: All part of, you know, helping to maintain public safety 685 00:37:16,120 --> 00:37:19,399 Speaker 1: in the outbreak. Yeah, you've here, here's a big one. 686 00:37:19,440 --> 00:37:22,280 Speaker 1: You've probably heard and seen a bunch of stuff about 687 00:37:22,320 --> 00:37:24,759 Speaker 1: face masks. And here I've got a beef with a 688 00:37:24,800 --> 00:37:28,520 Speaker 1: lot of news sites that are publishing articles about coronavirus. 689 00:37:28,960 --> 00:37:32,120 Speaker 1: So you've got the new article about COVID nineteen, and 690 00:37:32,120 --> 00:37:35,440 Speaker 1: then what's the image that accompanies that article. It's somebody 691 00:37:35,440 --> 00:37:38,440 Speaker 1: in a face mask. They got the surgical mask on. People, 692 00:37:38,560 --> 00:37:41,880 Speaker 1: please stop selecting these images to go with your stories 693 00:37:41,920 --> 00:37:44,560 Speaker 1: and maybe use an image of the virus itself for 694 00:37:44,680 --> 00:37:49,240 Speaker 1: something something else, because that this selection of these images 695 00:37:49,560 --> 00:37:52,560 Speaker 1: suggests that what people need to do to protect themselves 696 00:37:52,640 --> 00:37:54,840 Speaker 1: from the virus is to go out and buy a 697 00:37:54,880 --> 00:37:57,360 Speaker 1: bunch of surgical masks and wear them whenever they go 698 00:37:57,400 --> 00:38:01,400 Speaker 1: in public. Here's something important to understand, and surgical masks 699 00:38:01,400 --> 00:38:05,719 Speaker 1: are much more important to prevent you from spreading diseases, 700 00:38:05,800 --> 00:38:08,840 Speaker 1: especially you know, like bacteria in your mouth and your nose, 701 00:38:09,360 --> 00:38:13,160 Speaker 1: than to prevent you from contracting of virus. Public health 702 00:38:13,200 --> 00:38:16,840 Speaker 1: experts do not recommend that healthy people wear face masks 703 00:38:16,840 --> 00:38:20,479 Speaker 1: for general daily activity. Uh. Like, what a face mask 704 00:38:20,600 --> 00:38:23,960 Speaker 1: does is, you know, it blocks larger droplets escaping your 705 00:38:24,000 --> 00:38:26,799 Speaker 1: nose and your mouth into the environment. Think about when 706 00:38:26,800 --> 00:38:29,960 Speaker 1: they are actually used, for example, by surgeons, to prevent 707 00:38:30,040 --> 00:38:34,280 Speaker 1: bacteria and droplets from the surgeon's map, mouth and nose 708 00:38:34,640 --> 00:38:37,840 Speaker 1: from getting into your body while you're cut open. Is 709 00:38:37,880 --> 00:38:41,640 Speaker 1: to protect you, not to protect the surgeon. Standard surgical 710 00:38:41,680 --> 00:38:44,840 Speaker 1: masks or porous They don't form a tight seal around 711 00:38:44,880 --> 00:38:47,799 Speaker 1: your nose and mouth, and viruses can often penetrate them. 712 00:38:48,000 --> 00:38:50,759 Speaker 1: They they are generally not believed to be very effective 713 00:38:50,760 --> 00:38:53,680 Speaker 1: at preventing you from getting a virus. I was finding, 714 00:38:53,760 --> 00:38:57,600 Speaker 1: you know, quotes from different epidemiologists and public health experts 715 00:38:57,600 --> 00:39:02,880 Speaker 1: in different sources, and there were slightly different levels of 716 00:39:02,880 --> 00:39:05,719 Speaker 1: of response to the idea of wearing surgical masks just 717 00:39:05,800 --> 00:39:09,120 Speaker 1: as a protective measure. The opinions to me seemed to 718 00:39:09,280 --> 00:39:12,520 Speaker 1: range from it will not help and does nothing at all, 719 00:39:12,680 --> 00:39:16,120 Speaker 1: too it might help a little bit, but it's not 720 00:39:16,160 --> 00:39:18,719 Speaker 1: going to be very effective, right, And I can well 721 00:39:18,800 --> 00:39:21,759 Speaker 1: imagine it's the sort of thing where overall would not 722 00:39:21,800 --> 00:39:25,680 Speaker 1: be a good idea if it then enabled you to 723 00:39:25,680 --> 00:39:28,560 Speaker 1: to engage in risk your behavior or to pull back 724 00:39:28,600 --> 00:39:31,239 Speaker 1: on more important things like washing your hand, right, or 725 00:39:31,480 --> 00:39:34,439 Speaker 1: here's another one I was actually reading about. Or if 726 00:39:34,520 --> 00:39:37,560 Speaker 1: it means that you will end up like fut sing 727 00:39:37,560 --> 00:39:40,759 Speaker 1: with your mask and touching your face more. Uh, this 728 00:39:40,840 --> 00:39:43,160 Speaker 1: is another thing. Now, there's another type of mask that 729 00:39:43,200 --> 00:39:45,160 Speaker 1: you've probably read about, and this is the one that 730 00:39:45,200 --> 00:39:47,960 Speaker 1: would be more effective if you were actually trying to 731 00:39:48,400 --> 00:39:51,719 Speaker 1: have it as a prophylactic against being infected. These are 732 00:39:51,760 --> 00:39:54,400 Speaker 1: the IN ninety five or the N ninety nine masks, 733 00:39:54,440 --> 00:39:57,160 Speaker 1: which have a more complicated design. They're basically they're not 734 00:39:57,239 --> 00:40:00,719 Speaker 1: just a piece of material to cover your mouth and knows, 735 00:40:00,760 --> 00:40:04,120 Speaker 1: they're basically a full face piece respirator. And if they're 736 00:40:04,120 --> 00:40:07,440 Speaker 1: worned properly. They are supposed to prevent whatever the number 737 00:40:07,560 --> 00:40:12,960 Speaker 1: is of all airborne particles from passing in round. But 738 00:40:13,680 --> 00:40:16,600 Speaker 1: if you haven't had training, there's a good chance that 739 00:40:16,640 --> 00:40:18,960 Speaker 1: if you try to wear one of these things, you 740 00:40:19,000 --> 00:40:22,840 Speaker 1: will not only fail, but possibly increase your risk because 741 00:40:23,120 --> 00:40:26,319 Speaker 1: when people without experience wear these masks, they often keep 742 00:40:26,360 --> 00:40:30,399 Speaker 1: adjusting and foxing with them, which means you're touching your face. Now. 743 00:40:30,440 --> 00:40:33,080 Speaker 1: In theory, at least, these would be more effective than 744 00:40:33,160 --> 00:40:36,680 Speaker 1: regular surgical masks or procedure masks that protecting you from 745 00:40:36,680 --> 00:40:40,040 Speaker 1: inhaling the virus, but also not a hundred percent effective, 746 00:40:40,360 --> 00:40:42,680 Speaker 1: especially again if you're you're not experienced with them, you 747 00:40:42,719 --> 00:40:45,000 Speaker 1: haven't had training, you don't know exactly how to wear them. 748 00:40:45,160 --> 00:40:47,720 Speaker 1: There there are other ways that like, for example, uh, 749 00:40:47,840 --> 00:40:50,160 Speaker 1: I've seen stuff going around on the internet where people 750 00:40:50,160 --> 00:40:54,120 Speaker 1: talk about like beards being a problem for the virus. 751 00:40:54,239 --> 00:40:56,600 Speaker 1: Beards are not a problem. What would be true is 752 00:40:56,640 --> 00:41:01,000 Speaker 1: that having facial hair would in most cases prevent you 753 00:41:01,080 --> 00:41:03,319 Speaker 1: from getting a full seal if you were trying to 754 00:41:03,360 --> 00:41:06,239 Speaker 1: wear one of these, uh, one of these like in 755 00:41:06,320 --> 00:41:09,560 Speaker 1: ninety five or masks, right, Yeah, Like, if anybody out 756 00:41:09,560 --> 00:41:13,719 Speaker 1: there has ever attempted to go snorkeling on say, like 757 00:41:13,920 --> 00:41:17,840 Speaker 1: day five of vacation. Stubble, you kind of get some 758 00:41:17,960 --> 00:41:20,000 Speaker 1: of what's going on here. But I say this not 759 00:41:20,040 --> 00:41:22,360 Speaker 1: just as a person with a beard, being that the 760 00:41:22,360 --> 00:41:25,120 Speaker 1: beard itself does not make you susceptible to the virus. 761 00:41:25,400 --> 00:41:27,200 Speaker 1: It would be that if you were trying to wear 762 00:41:27,239 --> 00:41:29,280 Speaker 1: one of these masks, you should not have a beard. 763 00:41:29,640 --> 00:41:32,960 Speaker 1: But also something a lot of public health officials and 764 00:41:33,000 --> 00:41:36,120 Speaker 1: experts have been saying is that you know, they're sort 765 00:41:36,120 --> 00:41:38,680 Speaker 1: of urging people mostly please don't go out and like 766 00:41:38,760 --> 00:41:42,080 Speaker 1: try to buy up or hoard these these types of 767 00:41:42,120 --> 00:41:45,439 Speaker 1: masks because they're in high demand right now, and they're 768 00:41:45,440 --> 00:41:47,839 Speaker 1: in high demand for healthcare workers and other people who 769 00:41:47,880 --> 00:41:50,320 Speaker 1: are actually going to be exposed to people likely to 770 00:41:50,360 --> 00:41:53,120 Speaker 1: be infected. Uh So, a lot of these experts are 771 00:41:53,120 --> 00:41:57,040 Speaker 1: cautioning against regular people who don't probably don't need them 772 00:41:57,080 --> 00:41:59,239 Speaker 1: buying up all the supply for fear that it will 773 00:41:59,280 --> 00:42:03,040 Speaker 1: create supply problems for healthcare workers. And that certainly makes 774 00:42:03,040 --> 00:42:05,359 Speaker 1: sense to me. All right, So those are some some 775 00:42:05,400 --> 00:42:10,359 Speaker 1: steps that one can take to attempt to prevent uh 776 00:42:11,040 --> 00:42:13,520 Speaker 1: becoming sick. What do you do once you are sick 777 00:42:13,600 --> 00:42:15,759 Speaker 1: or once you think you're sick, right, so what Yeah, 778 00:42:16,000 --> 00:42:17,640 Speaker 1: if you think you might be sick, if you have 779 00:42:17,680 --> 00:42:21,880 Speaker 1: symptoms of respiratory illness, especially cough, fever, shortness of breath, 780 00:42:22,239 --> 00:42:25,280 Speaker 1: first of all, stay home, do not go to work, 781 00:42:25,400 --> 00:42:27,839 Speaker 1: don't try to power through whatever it is your your 782 00:42:27,880 --> 00:42:30,880 Speaker 1: public you know, plans where you need to try to 783 00:42:30,960 --> 00:42:34,040 Speaker 1: isolate yourself as much as possible, especially if you have 784 00:42:34,200 --> 00:42:37,799 Speaker 1: recently traveled to an affected area. Originally this was just 785 00:42:37,880 --> 00:42:39,960 Speaker 1: if you traveled to China in the past two weeks, 786 00:42:40,000 --> 00:42:43,319 Speaker 1: but now the virus is spread significantly beyond China, so 787 00:42:43,400 --> 00:42:47,160 Speaker 1: travel indications are becoming more diffuse. This one is it 788 00:42:47,160 --> 00:42:50,240 Speaker 1: can be I think harder than we we we give credit, 789 00:42:50,440 --> 00:42:53,840 Speaker 1: you know, especially with the sort of work culture that 790 00:42:53,960 --> 00:42:57,080 Speaker 1: is so prevalent these days, you know, where it's we 791 00:42:57,120 --> 00:43:01,000 Speaker 1: feel this this pressure to push through, to be the 792 00:43:01,040 --> 00:43:03,400 Speaker 1: person who just all right, to take a bunch of 793 00:43:03,400 --> 00:43:05,799 Speaker 1: of meds and just go on and get the work 794 00:43:05,840 --> 00:43:08,000 Speaker 1: done because it just has to be done. Then, and 795 00:43:08,920 --> 00:43:10,880 Speaker 1: the the in the amount of importance we put we 796 00:43:10,920 --> 00:43:13,560 Speaker 1: put on our work and our profession as kind of 797 00:43:13,560 --> 00:43:18,759 Speaker 1: our defining self. You know, I would say beyond this, 798 00:43:18,840 --> 00:43:21,320 Speaker 1: I'm not just saying if you, you know, you should 799 00:43:21,320 --> 00:43:23,840 Speaker 1: stay home. If you are a boss or an employer, 800 00:43:23,920 --> 00:43:27,520 Speaker 1: you're in a position of authority, it's very important for 801 00:43:27,560 --> 00:43:31,320 Speaker 1: you to make clear to your workers or direct reports whoever, 802 00:43:31,840 --> 00:43:34,200 Speaker 1: that they should not be doing this. They should not 803 00:43:34,239 --> 00:43:36,400 Speaker 1: be trying to power through or come to work if 804 00:43:36,480 --> 00:43:39,760 Speaker 1: they have a respiratory illness. They should be staying home, 805 00:43:40,080 --> 00:43:42,200 Speaker 1: and you need to, you know, put whatever in place 806 00:43:42,280 --> 00:43:45,640 Speaker 1: to help them do that. Yeah, be that an enhanced 807 00:43:45,640 --> 00:43:49,680 Speaker 1: teleworking policy or what have you? Now Again, if you 808 00:43:49,719 --> 00:43:52,280 Speaker 1: think you're sick, also, it's a good idea to separate 809 00:43:52,320 --> 00:43:55,239 Speaker 1: yourself from other people and animals in your household. Try 810 00:43:55,280 --> 00:43:57,200 Speaker 1: to stay in a separate room if you can. Try 811 00:43:57,200 --> 00:43:59,759 Speaker 1: to use a different bathroom if possible. You, you know, 812 00:44:00,160 --> 00:44:01,879 Speaker 1: the same kind of thing you practice if you saw 813 00:44:01,920 --> 00:44:05,000 Speaker 1: somebody sick out in public. You want to keep distance 814 00:44:05,040 --> 00:44:07,200 Speaker 1: between you and other people who might get infected in 815 00:44:07,239 --> 00:44:10,240 Speaker 1: your house. When you cough, try to cover your mouth 816 00:44:10,280 --> 00:44:12,520 Speaker 1: as much as possible. Coughing into the crook of your 817 00:44:12,560 --> 00:44:15,720 Speaker 1: elbow is usually considered better than coughing into your hand 818 00:44:16,080 --> 00:44:18,960 Speaker 1: because you're less likely to spread virus to a secondary surface. 819 00:44:19,080 --> 00:44:21,880 Speaker 1: It's more fun because you you can pretend your Dracula, right, 820 00:44:21,920 --> 00:44:24,440 Speaker 1: you can be Bella Legosi and plan on from outer space. 821 00:44:25,120 --> 00:44:27,120 Speaker 1: Or the guy pretending to be Bella a ghost that's right, 822 00:44:27,160 --> 00:44:29,600 Speaker 1: because he had actually died, right, and the guy had 823 00:44:29,640 --> 00:44:31,120 Speaker 1: to cover up his face so you couldn't tell it 824 00:44:31,160 --> 00:44:35,560 Speaker 1: wasn't Bella um everybody could tell. Also, if you think 825 00:44:35,600 --> 00:44:38,840 Speaker 1: you may have coronavirus, Uh, this is a better time 826 00:44:38,880 --> 00:44:41,359 Speaker 1: to wear a regular face mask like a surgical mask. 827 00:44:41,440 --> 00:44:45,160 Speaker 1: By blocking large droplets from coming off of your face, 828 00:44:45,239 --> 00:44:48,240 Speaker 1: it will reduce the amount of virus that you spread 829 00:44:48,280 --> 00:44:51,120 Speaker 1: to others when you cough or sneeze. But I guess 830 00:44:51,360 --> 00:44:55,160 Speaker 1: maybe most importantly, also, if you think you may have coronavirus, 831 00:44:55,680 --> 00:44:59,280 Speaker 1: call your doctor healthcare provider before going to their office. 832 00:44:59,320 --> 00:45:03,040 Speaker 1: Don't just go. Call and explain, explain what your symptoms are, 833 00:45:03,120 --> 00:45:05,880 Speaker 1: and especially mentioned if you have had if you've been 834 00:45:05,920 --> 00:45:09,440 Speaker 1: traveling recently, and this way they will be better able 835 00:45:09,480 --> 00:45:13,560 Speaker 1: to direct you to the appropriate facilities to prevent unnecessary 836 00:45:13,600 --> 00:45:16,400 Speaker 1: contact and to get you where you need to go 837 00:45:16,640 --> 00:45:19,160 Speaker 1: or tell you what you need to do best. Now 838 00:45:19,320 --> 00:45:21,920 Speaker 1: more generally, Uh, you know, I was thinking about like 839 00:45:22,520 --> 00:45:25,279 Speaker 1: how should we prepare for this? Like what what? What 840 00:45:25,280 --> 00:45:27,839 Speaker 1: else should we be doing if obviously we don't think 841 00:45:27,880 --> 00:45:31,160 Speaker 1: we're infected yet. I was reading a really good article 842 00:45:31,239 --> 00:45:34,960 Speaker 1: in Scientific American from just yesterday by Zane up to 843 00:45:35,080 --> 00:45:38,239 Speaker 1: fect she and she's reacting to, of course, the fact that, 844 00:45:38,320 --> 00:45:40,839 Speaker 1: you know, the CDC has begun to warn people within 845 00:45:40,880 --> 00:45:44,840 Speaker 1: the United States that there's community transmission probably taking place, 846 00:45:44,920 --> 00:45:47,600 Speaker 1: and this has the potential to pose quite a significant 847 00:45:47,640 --> 00:45:51,719 Speaker 1: disruption to our lives. Uh. She points out that, you know, 848 00:45:51,760 --> 00:45:54,160 Speaker 1: there's kind of a psychological issue, and this has been 849 00:45:54,280 --> 00:45:56,360 Speaker 1: very true for me at least. A lot of people 850 00:45:56,480 --> 00:45:59,640 Speaker 1: don't know how seriously to take a problem like this, 851 00:45:59,760 --> 00:46:03,200 Speaker 1: Like you are afraid of being under prepared, but you're 852 00:46:03,239 --> 00:46:07,759 Speaker 1: also afraid of overreacting and looking foolish, you know, uh, 853 00:46:07,760 --> 00:46:11,080 Speaker 1: looking paranoid, you know, being the person who stockpiled hollow 854 00:46:11,120 --> 00:46:13,840 Speaker 1: point ammunition and canned corn beef hash for the Y 855 00:46:13,880 --> 00:46:16,160 Speaker 1: two K bug. Yeah, you don't. You don't want to 856 00:46:16,200 --> 00:46:18,239 Speaker 1: fall into a set of behaviors that make you feel 857 00:46:18,280 --> 00:46:22,839 Speaker 1: like Michael Shannon might play you in the movie version. Yeah, um, 858 00:46:22,880 --> 00:46:25,719 Speaker 1: of course. Yeah. And the point of Defects article is this, 859 00:46:25,960 --> 00:46:29,040 Speaker 1: don't do that, don't give into panic, don't go crazy, 860 00:46:29,160 --> 00:46:33,319 Speaker 1: don't start hoarding. Don't fall into doomsday prepper, you know, 861 00:46:33,400 --> 00:46:36,200 Speaker 1: snake oil territory. I'm sure there are people out there 862 00:46:36,200 --> 00:46:40,800 Speaker 1: selling all kinds of you know, miracle coronavirus cure or whatever. 863 00:46:41,480 --> 00:46:45,000 Speaker 1: But do prepare. Do prepare how you can in reasonable ways, 864 00:46:45,040 --> 00:46:46,360 Speaker 1: and we'll talk about what those are in just a 865 00:46:46,400 --> 00:46:50,000 Speaker 1: minute here. Because these preparations could not only protect you, 866 00:46:50,440 --> 00:46:55,200 Speaker 1: they can help contain the problem overall. Quote, preparing for 867 00:46:55,239 --> 00:46:58,120 Speaker 1: the almost inevitable global spread of this virus is one 868 00:46:58,160 --> 00:47:01,040 Speaker 1: of the most pro social out heuristic things you can 869 00:47:01,080 --> 00:47:05,040 Speaker 1: do in response to potential disruptions of this kind. And 870 00:47:05,080 --> 00:47:08,920 Speaker 1: in explaining her argument, uh, you know, she mentions we 871 00:47:08,960 --> 00:47:10,920 Speaker 1: mentioned earlier, of course, that you know, there are not 872 00:47:11,160 --> 00:47:14,080 Speaker 1: in the fatality rate of a disease, are not fixed 873 00:47:14,080 --> 00:47:17,520 Speaker 1: to numbers that are biologically intrinsic to the pathogen. Of course, 874 00:47:17,520 --> 00:47:21,839 Speaker 1: they're influenced by biological features of the pathogen, but it's 875 00:47:21,840 --> 00:47:24,160 Speaker 1: better to think of these numbers as something closer to 876 00:47:24,440 --> 00:47:27,720 Speaker 1: other big numbers in the social sciences, like the unemployment 877 00:47:27,840 --> 00:47:31,520 Speaker 1: rate or average human life expectancy. There are numbers that 878 00:47:31,640 --> 00:47:36,040 Speaker 1: reflect real averages on the ground as collected by epidemiologists, 879 00:47:36,040 --> 00:47:38,879 Speaker 1: but they can also change a lot based on our 880 00:47:38,960 --> 00:47:42,960 Speaker 1: individual behaviors and the actions of institutions and to fect 881 00:47:43,040 --> 00:47:45,960 Speaker 1: She points out that it was effective interventions by our 882 00:47:45,960 --> 00:47:49,040 Speaker 1: disease control efforts that were able to control the two 883 00:47:49,040 --> 00:47:53,160 Speaker 1: thousand three Stars epidemic. But before our interventions are not 884 00:47:53,360 --> 00:47:56,960 Speaker 1: of Stars, was about three and then after active measures 885 00:47:56,960 --> 00:48:00,000 Speaker 1: it went down to about point zero four and all 886 00:48:00,120 --> 00:48:03,080 Speaker 1: ultimately it only killed between nine hundred and a thousand people, 887 00:48:03,080 --> 00:48:05,080 Speaker 1: which is still too many, but far less than it 888 00:48:05,120 --> 00:48:07,719 Speaker 1: had the potential to. Likewise, there are certain ways we 889 00:48:07,719 --> 00:48:10,720 Speaker 1: can prepare now that might help to do what defects. 890 00:48:10,760 --> 00:48:14,640 Speaker 1: She calls flattening the curve of the pandemic and putting 891 00:48:14,760 --> 00:48:18,560 Speaker 1: less strain and stress on infrastructure at crucial times. So 892 00:48:18,600 --> 00:48:21,640 Speaker 1: what is flattening the curve mean? It means slowing the 893 00:48:21,680 --> 00:48:25,160 Speaker 1: transmission rate of the disease and the best way to 894 00:48:25,239 --> 00:48:28,480 Speaker 1: do that to whatever extent possible is to practice community 895 00:48:28,520 --> 00:48:31,239 Speaker 1: wide isolation, meaning you know, if people can, they should 896 00:48:31,280 --> 00:48:34,120 Speaker 1: stay home. The more people stay home, the fewer people 897 00:48:34,120 --> 00:48:37,000 Speaker 1: will catch the virus. The fewer people catch it, the 898 00:48:37,040 --> 00:48:40,919 Speaker 1: better our health infrastructure can manage. Crowding at hospitals will 899 00:48:41,000 --> 00:48:45,239 Speaker 1: greatly increase the case fatality rate not only for coronavirus, 900 00:48:45,280 --> 00:48:48,160 Speaker 1: but for other dangerous infections at the same time, like 901 00:48:48,200 --> 00:48:50,239 Speaker 1: the flu. Yeah, that's the thing. It's this is not 902 00:48:50,320 --> 00:48:53,200 Speaker 1: like like a small town movie theater situation where the 903 00:48:53,200 --> 00:48:55,759 Speaker 1: new blockbuster comes to town and then, uh, it's the 904 00:48:55,800 --> 00:48:58,319 Speaker 1: only thing playing. There are still going to be other 905 00:48:59,040 --> 00:49:04,279 Speaker 1: featured infections in play. And for that reason, So when 906 00:49:04,280 --> 00:49:07,360 Speaker 1: it comes to what preparations you actually should engage in 907 00:49:07,680 --> 00:49:10,399 Speaker 1: to fetch your recommends, first of all, make sure you've 908 00:49:10,400 --> 00:49:13,160 Speaker 1: gotten your flu shot. You know, this reduces the likelihood 909 00:49:13,480 --> 00:49:15,799 Speaker 1: that you'll have to go to the hospital with the flu, 910 00:49:15,920 --> 00:49:19,960 Speaker 1: reducing overall strain on the health care infrastructure, reducing the 911 00:49:20,040 --> 00:49:22,680 Speaker 1: chance that you could be exposed to coronavirus while seeking 912 00:49:22,719 --> 00:49:27,120 Speaker 1: treatment for the flu. Uh, And they're also implied comorbidities. 913 00:49:27,160 --> 00:49:29,319 Speaker 1: You don't want to be exposed to both flu and 914 00:49:29,360 --> 00:49:33,560 Speaker 1: coronavirus at the same time. Beyond that, it is reasonable 915 00:49:33,600 --> 00:49:36,719 Speaker 1: to stock up on some supplies that you could basically 916 00:49:36,840 --> 00:49:39,800 Speaker 1: use to stay at home for two to three weeks 917 00:49:39,840 --> 00:49:41,920 Speaker 1: if necessary. We don't know that you're going to need 918 00:49:42,000 --> 00:49:43,799 Speaker 1: to do that, but it's possible that we could get 919 00:49:43,800 --> 00:49:46,439 Speaker 1: to a point where the outlook for this pandemic would 920 00:49:46,480 --> 00:49:48,239 Speaker 1: be a lot better if people could stay home for 921 00:49:48,360 --> 00:49:51,160 Speaker 1: roughly two to three weeks. So stuff to get you 922 00:49:51,200 --> 00:49:53,839 Speaker 1: through two to three weeks at home would include drinkable water. 923 00:49:54,160 --> 00:49:56,920 Speaker 1: Drinkable water is a great one because this is something 924 00:49:56,920 --> 00:49:58,560 Speaker 1: that's good to have on hand in case there's a 925 00:49:58,600 --> 00:50:02,120 Speaker 1: winter storm, in case your it is frequently happens in 926 00:50:02,120 --> 00:50:03,879 Speaker 1: the area where we live where suddenly there's a boil 927 00:50:03,960 --> 00:50:06,919 Speaker 1: warning for your water. Well, now you have some fresh water. 928 00:50:07,360 --> 00:50:09,200 Speaker 1: And if you if you reach the point where it's 929 00:50:09,239 --> 00:50:11,000 Speaker 1: like months later and you realize, oh, I still have 930 00:50:11,040 --> 00:50:13,520 Speaker 1: all that water I bought in case of the coronavirus, 931 00:50:13,760 --> 00:50:15,480 Speaker 1: Well put in your car with you and the next 932 00:50:15,520 --> 00:50:17,880 Speaker 1: time there's somebody on a on a hot day, you know, 933 00:50:18,120 --> 00:50:21,239 Speaker 1: asking for for you know, for a little help, you 934 00:50:21,239 --> 00:50:23,799 Speaker 1: can always give them a water bottle. Totally beyond that, 935 00:50:23,880 --> 00:50:26,640 Speaker 1: of course, it's it's good to have food, shelf stable 936 00:50:26,640 --> 00:50:31,640 Speaker 1: food like canned goods and of course dried foods not bananas, Yeah, 937 00:50:31,920 --> 00:50:36,040 Speaker 1: can canned canned goods. Uh, we're specifically mentioned. Also things 938 00:50:36,080 --> 00:50:40,319 Speaker 1: like pasta, rice, beans, dried fruit and nuts, anything that 939 00:50:40,360 --> 00:50:42,759 Speaker 1: can hang out and doesn't need to be refrigerated. Of course, 940 00:50:42,760 --> 00:50:45,439 Speaker 1: it's fine to have refrigerated foods too, but if say 941 00:50:45,440 --> 00:50:47,080 Speaker 1: the power goes out at some point, or if you 942 00:50:47,120 --> 00:50:49,200 Speaker 1: do need to stay home for three weeks, stuff might 943 00:50:49,480 --> 00:50:52,840 Speaker 1: not stay fresh in your fridge for that whole time. Also, 944 00:50:52,920 --> 00:50:55,360 Speaker 1: it's important that this is one to think about in advance. 945 00:50:55,560 --> 00:50:58,600 Speaker 1: Stock up on prescription medications if you can, if you 946 00:50:58,600 --> 00:51:01,880 Speaker 1: can get a pres option filled, that could get you 947 00:51:01,920 --> 00:51:04,560 Speaker 1: through a two to three week period, and then on 948 00:51:04,640 --> 00:51:07,319 Speaker 1: top of that basic first aid supplies and over the 949 00:51:07,360 --> 00:51:10,520 Speaker 1: counter medications you might need right beyond that, things to 950 00:51:10,640 --> 00:51:13,120 Speaker 1: keep you busy that you can do at home, you know, books, 951 00:51:13,239 --> 00:51:15,520 Speaker 1: video games, board games, all that kind of stuff. So 952 00:51:15,680 --> 00:51:18,400 Speaker 1: probably not the board game pandemic Um, which is a 953 00:51:18,520 --> 00:51:20,520 Speaker 1: which is a fun game, but it's just not the time, 954 00:51:21,960 --> 00:51:24,120 Speaker 1: um but but but yeah, it is important to think 955 00:51:24,160 --> 00:51:26,480 Speaker 1: about the fact that you you need to be potentially 956 00:51:26,480 --> 00:51:29,560 Speaker 1: prepared for being a little bit stir crazy with your family, 957 00:51:29,840 --> 00:51:31,239 Speaker 1: and what are some of the things to have on 958 00:51:31,320 --> 00:51:34,560 Speaker 1: hand to help facilitate that stay now. Of course, if 959 00:51:34,600 --> 00:51:37,680 Speaker 1: it does come to people needing to stay home for 960 00:51:37,719 --> 00:51:40,400 Speaker 1: a few weeks at a time, there are also options 961 00:51:40,440 --> 00:51:43,279 Speaker 1: to rely on deliveries for things people need but one 962 00:51:43,280 --> 00:51:46,840 Speaker 1: of the points that too fectually emphasizes is that delivery 963 00:51:46,880 --> 00:51:49,480 Speaker 1: services will be very important for people who don't have 964 00:51:49,560 --> 00:51:52,400 Speaker 1: the ability to prepare ahead of time, you know all that, 965 00:51:52,480 --> 00:51:55,439 Speaker 1: And so it's better not to wait until the last 966 00:51:55,440 --> 00:51:59,359 Speaker 1: minute and then put all that stress on various kinds 967 00:51:59,360 --> 00:52:02,480 Speaker 1: of infrastruct sure all at once, whether that's health care, infrastructure, 968 00:52:02,719 --> 00:52:05,880 Speaker 1: delivery workers all that. Yeah, and this is an easy, 969 00:52:06,040 --> 00:52:08,640 Speaker 1: easy one to fall into, right, because we have so 970 00:52:08,719 --> 00:52:11,439 Speaker 1: much stuff that is delivered to us on any given day. 971 00:52:11,560 --> 00:52:14,680 Speaker 1: You know, we might have uh, you know, Amazon Prime, 972 00:52:14,960 --> 00:52:19,200 Speaker 1: next day delivery, same day delivery for various goods. You 973 00:52:19,280 --> 00:52:23,120 Speaker 1: may have various meal delivery services that are dropping by 974 00:52:23,120 --> 00:52:25,759 Speaker 1: your door, et cetera. And again, not to be alarmist, 975 00:52:25,760 --> 00:52:28,440 Speaker 1: because even in places, say in China, where the outbreaks 976 00:52:28,440 --> 00:52:32,920 Speaker 1: have been very severe, generally, uh like, basic services have continued, 977 00:52:32,960 --> 00:52:35,799 Speaker 1: so there's power and all that. So you know, it's 978 00:52:35,840 --> 00:52:37,920 Speaker 1: not that you should expect the power to go out, 979 00:52:37,960 --> 00:52:39,600 Speaker 1: but just to be safe, it's probably not a bad 980 00:52:39,640 --> 00:52:42,680 Speaker 1: idea to have, say, a portable charger for your phone. Yeah, 981 00:52:42,880 --> 00:52:45,560 Speaker 1: those are handy to have anyway, especially you're like me 982 00:52:45,600 --> 00:52:47,279 Speaker 1: and you you keep your phone too long and the 983 00:52:47,280 --> 00:52:50,640 Speaker 1: battery just gets gets crappier and crappier. Yep, yep, yep. 984 00:52:51,680 --> 00:52:54,640 Speaker 1: Another thing. We sort of emphasized this earlier, but defectually 985 00:52:54,680 --> 00:52:56,120 Speaker 1: makes the same point, and I think it's a very 986 00:52:56,200 --> 00:52:59,839 Speaker 1: important one. Don't just think about yourself, Think about what 987 00:53:00,040 --> 00:53:01,640 Speaker 1: you can do for people that you are in a 988 00:53:01,680 --> 00:53:04,279 Speaker 1: position of authority over. If you're an employer, if you're 989 00:53:04,280 --> 00:53:07,000 Speaker 1: a boss, if you're in whatever kind of authority position, 990 00:53:07,520 --> 00:53:11,040 Speaker 1: please go ahead and make all necessary preparations to allow 991 00:53:11,160 --> 00:53:14,399 Speaker 1: people to work from home if possible, to miss work 992 00:53:14,440 --> 00:53:17,480 Speaker 1: for two to three weeks without interruptions, to pay. Yeah, 993 00:53:17,560 --> 00:53:19,799 Speaker 1: and you know, maybe even send out something about that 994 00:53:19,840 --> 00:53:22,480 Speaker 1: now before it becomes an issue, you know. And again, 995 00:53:22,520 --> 00:53:24,480 Speaker 1: of course, it may turn out that we don't need 996 00:53:24,560 --> 00:53:26,560 Speaker 1: to practice any of the stuff, that we don't actually 997 00:53:26,560 --> 00:53:29,000 Speaker 1: need to go into community isolation. But I think to 998 00:53:28,960 --> 00:53:31,640 Speaker 1: a factually makes a good case that early preparedness for 999 00:53:31,719 --> 00:53:36,520 Speaker 1: that possibility helps everyone and has relatively low costs, provided 1000 00:53:36,560 --> 00:53:39,640 Speaker 1: you're not like hoarding scarce medical supplies or something right right, 1001 00:53:39,640 --> 00:53:42,120 Speaker 1: like the idea of just having some some extra shelf 1002 00:53:42,160 --> 00:53:45,800 Speaker 1: goods on hand. You know, you're you're you're not wasting money. 1003 00:53:45,840 --> 00:53:47,919 Speaker 1: You can eat them either way. You eat them either way. 1004 00:53:48,400 --> 00:53:51,319 Speaker 1: It's it's just a safeguarding you a little bit for 1005 00:53:51,360 --> 00:53:54,319 Speaker 1: the future. Towards the end of her article, she she writes, quote, 1006 00:53:54,320 --> 00:53:57,040 Speaker 1: as a society, there are much larger conversations to be 1007 00:53:57,120 --> 00:54:00,200 Speaker 1: had about the way our healthcare industry runs. For example, 1008 00:54:00,400 --> 00:54:03,840 Speaker 1: how to handle global risks and are increasingly interconnected world. 1009 00:54:04,080 --> 00:54:07,360 Speaker 1: How to build resilient communities, how to reduce travel for work. 1010 00:54:07,719 --> 00:54:10,160 Speaker 1: Those are all important discussions, and nothing in this short 1011 00:54:10,239 --> 00:54:14,080 Speaker 1: article replaces that. However, the practical steps facing households are 1012 00:54:14,080 --> 00:54:17,640 Speaker 1: immediate and important for the sake of everyone else. Prepared 1013 00:54:17,680 --> 00:54:20,160 Speaker 1: to stay home for a few weeks, you'll reduce your 1014 00:54:20,200 --> 00:54:23,120 Speaker 1: own risks, but most importantly, you reduce the burden on 1015 00:54:23,200 --> 00:54:27,279 Speaker 1: healthcare and delivery infrastructure and allow frontline workers to reach 1016 00:54:27,320 --> 00:54:30,879 Speaker 1: and help the people most vulnerable. You know, I want 1017 00:54:30,880 --> 00:54:33,399 Speaker 1: to come back to the subject of information as well here, 1018 00:54:33,440 --> 00:54:37,760 Speaker 1: because again I think this is key. Trust the Centers 1019 00:54:37,800 --> 00:54:40,920 Speaker 1: for Disease Control and Prevention and the World Health Organization 1020 00:54:41,400 --> 00:54:45,279 Speaker 1: UH These are both excellent organizations to go to for information, 1021 00:54:45,360 --> 00:54:48,400 Speaker 1: up to the date information, up to date information about coronavirus. 1022 00:54:48,920 --> 00:54:51,239 Speaker 1: A friend of mine who works with the CDC. Was 1023 00:54:51,239 --> 00:54:54,040 Speaker 1: was recently driving this home on social media. Do not 1024 00:54:54,320 --> 00:54:58,480 Speaker 1: fall into conspiracy ideas and conspiracy thinking that cast the 1025 00:54:58,480 --> 00:55:01,920 Speaker 1: c d C is some sort of deep state adversary 1026 00:55:02,040 --> 00:55:05,280 Speaker 1: or some sort of state political mouthpiece. Uh. The CDC 1027 00:55:05,480 --> 00:55:08,440 Speaker 1: is a great source of information for news about COVID 1028 00:55:08,520 --> 00:55:12,360 Speaker 1: nineteen and you can if you are not aware of 1029 00:55:12,400 --> 00:55:14,319 Speaker 1: where to find them, you can just go to www 1030 00:55:14,400 --> 00:55:17,880 Speaker 1: dot CDC dot gov. Yeah, these organizations are staffed with 1031 00:55:18,040 --> 00:55:21,960 Speaker 1: excellent public servants and career professionals. These are people who 1032 00:55:22,000 --> 00:55:24,000 Speaker 1: know what they're doing and they're working very hard to 1033 00:55:24,000 --> 00:55:26,440 Speaker 1: get you the best information they can given what we 1034 00:55:26,480 --> 00:55:28,480 Speaker 1: know at the time. All right, on that note, we're 1035 00:55:28,480 --> 00:55:30,439 Speaker 1: going to take one more break, but when we come 1036 00:55:30,440 --> 00:55:35,719 Speaker 1: back we will discuss long term prospects and analysis. Than 1037 00:55:37,719 --> 00:55:40,160 Speaker 1: all right, we're back. So I know a lot of 1038 00:55:40,160 --> 00:55:42,080 Speaker 1: you probably have this question on your mind, and it's 1039 00:55:42,120 --> 00:55:44,600 Speaker 1: something that of course continues to come up in media coverage. 1040 00:55:45,120 --> 00:55:47,959 Speaker 1: What about a vaccine? Right? Uh that that, of course 1041 00:55:48,000 --> 00:55:49,839 Speaker 1: would be great if we had a vaccine for this 1042 00:55:49,920 --> 00:55:52,920 Speaker 1: new virus. There is no vaccine yet a number of 1043 00:55:53,000 --> 00:55:56,280 Speaker 1: labs and pharmaceutical companies around the world are working rapidly 1044 00:55:56,320 --> 00:55:58,239 Speaker 1: to develop one. I was reading about a number of 1045 00:55:58,280 --> 00:56:01,799 Speaker 1: different efforts, but most current estimates are saying that it 1046 00:56:01,840 --> 00:56:04,520 Speaker 1: will be at least a year or so before a 1047 00:56:04,600 --> 00:56:07,719 Speaker 1: vaccine will be ready, and that might be an optimistic timeline. 1048 00:56:07,760 --> 00:56:10,640 Speaker 1: Some timelines don't even get to the human testing phase 1049 00:56:11,080 --> 00:56:15,319 Speaker 1: until uh, so we don't know how long it will take. 1050 00:56:15,440 --> 00:56:17,880 Speaker 1: But and of course there have been rumors, right including 1051 00:56:17,960 --> 00:56:21,440 Speaker 1: rumors by certain high profile politicians that were very close 1052 00:56:21,480 --> 00:56:24,680 Speaker 1: to a vaccine. I guess you could define very close 1053 00:56:24,719 --> 00:56:27,960 Speaker 1: however you want, But but a realistic timeline is that 1054 00:56:28,000 --> 00:56:31,600 Speaker 1: a vaccine with proven efficacy is probably at the very 1055 00:56:31,680 --> 00:56:35,480 Speaker 1: least months, if not years, away, right, So don't put 1056 00:56:35,520 --> 00:56:38,120 Speaker 1: all your eggs in that basket, especially as far as 1057 00:56:38,160 --> 00:56:41,960 Speaker 1: short term concerns go. Right. More broadly, though, at the 1058 00:56:42,000 --> 00:56:44,279 Speaker 1: time we're recording this, there are being there are other 1059 00:56:44,400 --> 00:56:48,120 Speaker 1: treatments that are being explored, So maybe not a vaccine, 1060 00:56:48,280 --> 00:56:51,239 Speaker 1: maybe sooner than a vaccine. There's the possibility that we 1061 00:56:51,280 --> 00:56:53,880 Speaker 1: could get some kind of anti viral drugs that that 1062 00:56:54,040 --> 00:56:58,440 Speaker 1: could be effective to some extent with with this coronavirus. 1063 00:56:58,520 --> 00:57:01,000 Speaker 1: But as of the day were recording, I don't think 1064 00:57:01,040 --> 00:57:03,400 Speaker 1: I had found any evidence that any had been approved 1065 00:57:03,440 --> 00:57:06,439 Speaker 1: for human use yet. Now another question is when will 1066 00:57:06,520 --> 00:57:08,960 Speaker 1: the coronavirus peak. I was reading about this in a 1067 00:57:09,000 --> 00:57:13,840 Speaker 1: news feature for Nature by David Syronowsky published on February eighteen, 1068 00:57:14,520 --> 00:57:17,440 Speaker 1: And so what would have a peak refer to? Well, 1069 00:57:17,440 --> 00:57:20,560 Speaker 1: a disease peaks when quote the number of new infections 1070 00:57:20,800 --> 00:57:24,120 Speaker 1: in a single day reaches its highest point. So the 1071 00:57:24,120 --> 00:57:26,920 Speaker 1: bottom line is that it's hard to predict, and estimates 1072 00:57:26,920 --> 00:57:30,000 Speaker 1: are all over the place. Some experts believe we're very 1073 00:57:30,040 --> 00:57:33,560 Speaker 1: close to the peak already, or perhaps we've even passed it. 1074 00:57:33,640 --> 00:57:37,240 Speaker 1: Some estimate that it's months away. H There are dangers 1075 00:57:37,280 --> 00:57:39,920 Speaker 1: in over relying on guesses like these either way, but 1076 00:57:39,960 --> 00:57:42,120 Speaker 1: it would be good to try to get a sense 1077 00:57:42,160 --> 00:57:45,720 Speaker 1: of the lay of the land. Um. One of the 1078 00:57:45,800 --> 00:57:48,080 Speaker 1: experts that the author here is talking to is named 1079 00:57:48,160 --> 00:57:52,200 Speaker 1: Brian Labis, who works on disease surveillance at the University 1080 00:57:52,240 --> 00:57:55,440 Speaker 1: of Nevada, Las Vegas, and Labis says, quote, if you 1081 00:57:55,520 --> 00:57:58,360 Speaker 1: revise your predictions every week to say that the outbreak 1082 00:57:58,400 --> 00:58:00,320 Speaker 1: will peak in a week or two events, really you 1083 00:58:00,360 --> 00:58:05,080 Speaker 1: will be correct. Um. But the optimistic scenario. Well. On 1084 00:58:05,200 --> 00:58:10,160 Speaker 1: February eleven, Zong and Shan, a prominent Chinese physician UH 1085 00:58:10,200 --> 00:58:14,040 Speaker 1: predicted a peak by somewhere around the end of February. Meanwhile, 1086 00:58:14,080 --> 00:58:17,960 Speaker 1: a British statistician named Sebastian Funk published models that aligned 1087 00:58:18,040 --> 00:58:21,720 Speaker 1: roughly with this prediction. Quote. Funk estimates that that at 1088 00:58:21,760 --> 00:58:24,840 Speaker 1: the peak, around a million people about ten percent of 1089 00:58:24,840 --> 00:58:28,640 Speaker 1: Wuhan's population will be infected, and according to this model, 1090 00:58:28,680 --> 00:58:31,120 Speaker 1: the outbreak may even have already peaked, but that's the 1091 00:58:31,160 --> 00:58:35,640 Speaker 1: most optimistic scenario, the worst case UH. The The author 1092 00:58:35,640 --> 00:58:39,560 Speaker 1: here mentions Hiroshi Nishiura, who is an epidemiologist at Hokkaido 1093 00:58:39,680 --> 00:58:43,840 Speaker 1: University and Supporto Japan, who alleges that the outbreak quote 1094 00:58:43,840 --> 00:58:47,280 Speaker 1: will peak sometime between late March and late May. At 1095 00:58:47,320 --> 00:58:49,880 Speaker 1: this point, he says up to two point three million 1096 00:58:49,960 --> 00:58:53,160 Speaker 1: cases will be diagnosed in a single day. In total, 1097 00:58:53,240 --> 00:58:55,880 Speaker 1: he estimates that between five hundred and fifty million and 1098 00:58:55,920 --> 00:58:59,560 Speaker 1: six hundred and fifty million people across China will be infected, 1099 00:59:00,000 --> 00:59:03,440 Speaker 1: fully forty of the country's population, so that that would 1100 00:59:03,440 --> 00:59:06,400 Speaker 1: be very bad obviously, but that's a worst case scenario, 1101 00:59:06,640 --> 00:59:08,520 Speaker 1: or at least is believed to be at this point, 1102 00:59:09,240 --> 00:59:11,280 Speaker 1: so we don't know for sure when the peak will be. 1103 00:59:11,360 --> 00:59:14,400 Speaker 1: But there's a good point made by Gabriel Lung, who 1104 00:59:14,560 --> 00:59:17,760 Speaker 1: is an epidemiologist at the University of Hong Kong, who 1105 00:59:17,800 --> 00:59:20,480 Speaker 1: points out that you're not just trying to reduce the 1106 00:59:20,560 --> 00:59:23,320 Speaker 1: overall number of people who get infected. It is actually 1107 00:59:23,360 --> 00:59:25,919 Speaker 1: important to try to reduce the number of people who 1108 00:59:25,960 --> 00:59:30,760 Speaker 1: get infected at the same time because whenever this peak is, 1109 00:59:31,360 --> 00:59:34,960 Speaker 1: it's going to essentially grind everything to a halt. It. 1110 00:59:35,080 --> 00:59:40,400 Speaker 1: You know, health services, hospitals, doctors become overwhelmed, and that 1111 00:59:40,560 --> 00:59:43,800 Speaker 1: is what contributes to an increasing case fatality rate for 1112 00:59:43,880 --> 00:59:47,400 Speaker 1: the disease. Uh. You know, the less attention individual patients 1113 00:59:47,440 --> 00:59:50,840 Speaker 1: can get because health services are strained by too many 1114 00:59:50,840 --> 00:59:53,320 Speaker 1: people presenting with the disease at the same time, the 1115 00:59:53,360 --> 00:59:57,000 Speaker 1: worst the outcomes will be. Now, another article that we're 1116 00:59:57,080 --> 00:59:59,720 Speaker 1: looking at for this episode is a piece that came 1117 00:59:59,720 --> 01:00:03,640 Speaker 1: out of The Atlantic by James Hamblin titled You're likely 1118 01:00:03,680 --> 01:00:10,320 Speaker 1: to get the coronavirus um, which, um, that's well, you know, 1119 01:00:10,400 --> 01:00:13,200 Speaker 1: it's uh, it's it's a frank title and and I 1120 01:00:13,240 --> 01:00:14,920 Speaker 1: think it becomes clear when you read it. It's not 1121 01:00:15,000 --> 01:00:18,320 Speaker 1: a it's not a scare tactic article like it. Basically 1122 01:00:18,480 --> 01:00:22,000 Speaker 1: the article gets into the the idea that this is 1123 01:00:22,080 --> 01:00:24,800 Speaker 1: this uh, this illness is here and it might be 1124 01:00:24,880 --> 01:00:28,760 Speaker 1: with us for a while. Um. He points out that quote. 1125 01:00:28,800 --> 01:00:32,760 Speaker 1: The emerging consensus among epidemiologists is that the most likely 1126 01:00:32,800 --> 01:00:36,680 Speaker 1: outcome of this outbreak is a new seasonal disease, a 1127 01:00:36,760 --> 01:00:42,280 Speaker 1: fifth endemic coronavirus. The other four endemic coronaviruses are the 1128 01:00:42,360 --> 01:00:47,200 Speaker 1: alpha coronavirus IS two and n L sixty three, plus 1129 01:00:47,240 --> 01:00:50,080 Speaker 1: the two beta coronavirus is O C forty three in 1130 01:00:50,360 --> 01:00:53,400 Speaker 1: h K you one now two to nine E and 1131 01:00:53,520 --> 01:00:56,440 Speaker 1: O C forty three are among the virus is responsible 1132 01:00:56,480 --> 01:00:59,520 Speaker 1: for the common cold, like we were mentioning earlier, and 1133 01:00:59,600 --> 01:01:04,120 Speaker 1: people around the world are routinely infected with these four coronaviruses. 1134 01:01:04,280 --> 01:01:07,920 Speaker 1: So they're they're not like an emerging pandemic. They're just 1135 01:01:08,200 --> 01:01:10,919 Speaker 1: with us. They're just always kind of bouncing around within 1136 01:01:11,040 --> 01:01:14,080 Speaker 1: human population, right, They're just they're just part of it there. 1137 01:01:14,200 --> 01:01:17,080 Speaker 1: That's part of our our seasonal exposure to viruses. Now, 1138 01:01:17,160 --> 01:01:19,120 Speaker 1: you might well be wondering, since I've brought out the 1139 01:01:19,160 --> 01:01:22,520 Speaker 1: seasonal aspect of this, what does it really mean for 1140 01:01:22,600 --> 01:01:25,920 Speaker 1: something like this to be a seasonal virus? Why do 1141 01:01:26,000 --> 01:01:29,760 Speaker 1: we have a cold and flu season? It's a good question. Yeah, 1142 01:01:29,800 --> 01:01:34,400 Speaker 1: So cold and flu are are linked to winter. In 1143 01:01:34,440 --> 01:01:38,160 Speaker 1: the northern hemisphere, they tend to peak in February and March, 1144 01:01:38,600 --> 01:01:42,120 Speaker 1: while in the southern hemisphere the peak is June and September. Now, 1145 01:01:42,120 --> 01:01:45,320 Speaker 1: to be clear, these illnesses are not caused by the cold. 1146 01:01:45,960 --> 01:01:49,880 Speaker 1: That is, sometimes the sort of loose misconception that floats 1147 01:01:49,920 --> 01:01:54,360 Speaker 1: around the virus is the prerequisite. But why is there 1148 01:01:54,360 --> 01:01:57,880 Speaker 1: a link between the virus and cold conditions. Well, scientists 1149 01:01:57,920 --> 01:02:01,600 Speaker 1: don't have a definite answer, but there are some prevailing 1150 01:02:01,680 --> 01:02:05,240 Speaker 1: ideas on this. So first of all, such viruses may 1151 01:02:05,280 --> 01:02:09,800 Speaker 1: just survive better in colder, dryer climates. Dry air, for instance, 1152 01:02:09,880 --> 01:02:13,600 Speaker 1: might make it possible for viral droplets to disperse further. 1153 01:02:14,080 --> 01:02:16,960 Speaker 1: So maybe when you like sneeze or cough in cold, 1154 01:02:17,080 --> 01:02:20,320 Speaker 1: dry air, the goes farther. Yeah, Like, you know, we're 1155 01:02:20,360 --> 01:02:22,280 Speaker 1: talking about how far away does it make sense to 1156 01:02:22,320 --> 01:02:24,720 Speaker 1: be from an infected person? You know? Is it is 1157 01:02:24,720 --> 01:02:27,120 Speaker 1: it three ft? Is it five feet? Is a six ft? 1158 01:02:27,360 --> 01:02:30,760 Speaker 1: One of the ideas here is that the the the 1159 01:02:30,760 --> 01:02:34,520 Speaker 1: the necessary distance for a transference is perhaps less due 1160 01:02:34,520 --> 01:02:38,280 Speaker 1: to the uh the dryness of the air. Also, winter 1161 01:02:38,400 --> 01:02:41,560 Speaker 1: conditions tend to force people to spend more time time 1162 01:02:41,640 --> 01:02:46,080 Speaker 1: indoors sealed up, exposing them more to the shared air 1163 01:02:46,160 --> 01:02:49,720 Speaker 1: of people who may have a virus. Another idea is 1164 01:02:49,760 --> 01:02:52,720 Speaker 1: that shorter days and less sunlight lead to lower levels 1165 01:02:52,760 --> 01:02:56,640 Speaker 1: of vitamin D and melatonin, which requires sunlight for generation, 1166 01:02:57,120 --> 01:03:00,280 Speaker 1: and so this ultimately compromises our immune system. So our 1167 01:03:00,320 --> 01:03:03,960 Speaker 1: immune system is perhaps weaker during the winter and therefore 1168 01:03:03,960 --> 01:03:07,920 Speaker 1: were just more susceptible to these infections. Whatever the exact 1169 01:03:08,000 --> 01:03:12,360 Speaker 1: reason uh the results is that established viral illnesses like 1170 01:03:12,440 --> 01:03:15,800 Speaker 1: influenza follow a seasonal cycle, and the idea is that 1171 01:03:15,840 --> 01:03:20,160 Speaker 1: as this new coronavirus spreads, its potentially becomes just part 1172 01:03:20,240 --> 01:03:23,760 Speaker 1: of this cycle as well. But it is important to 1173 01:03:23,760 --> 01:03:27,200 Speaker 1: realize that yes, seasonal changes may be good, typically good 1174 01:03:27,200 --> 01:03:30,720 Speaker 1: at cutting into a virus's survival rate, but nothing is 1175 01:03:30,760 --> 01:03:34,280 Speaker 1: a sure thing here with this new coronavirus. A number 1176 01:03:34,280 --> 01:03:37,000 Speaker 1: of different journalists have written about this topic. I was 1177 01:03:37,000 --> 01:03:40,000 Speaker 1: looking at something written by Tom Arville for The l 1178 01:03:40,040 --> 01:03:44,280 Speaker 1: A Times, and he spoke with Marcy edge F Bonnie, 1179 01:03:44,480 --> 01:03:47,760 Speaker 1: an associate professor of biology at pin State University, who 1180 01:03:47,800 --> 01:03:51,040 Speaker 1: pointed out that while warmer weather typically cuts into an 1181 01:03:51,080 --> 01:03:54,600 Speaker 1: illness is survival rate. This illness will be encountering a 1182 01:03:54,680 --> 01:03:58,520 Speaker 1: quote completely susceptible US population. So, coming back to what 1183 01:03:58,560 --> 01:04:01,040 Speaker 1: we said earlier, next to no has been exposed to 1184 01:04:01,080 --> 01:04:04,080 Speaker 1: it here before, there's been no chance to develop an immunity, 1185 01:04:04,440 --> 01:04:08,280 Speaker 1: uh much less anything like a vaccine. So the idea, 1186 01:04:08,360 --> 01:04:12,000 Speaker 1: you know, if you hear someone say, well, don't worry 1187 01:04:12,000 --> 01:04:13,600 Speaker 1: that the weather is getting warmer, it's going to take 1188 01:04:13,600 --> 01:04:17,880 Speaker 1: care of it. Um, that's not possible, but not possible 1189 01:04:17,920 --> 01:04:20,040 Speaker 1: but not known. Yeah, there are a lot of caveats 1190 01:04:20,080 --> 01:04:24,160 Speaker 1: to attach that statement at the very least. Yeah, totally. Well, 1191 01:04:24,520 --> 01:04:26,720 Speaker 1: so we've reached the end of what we had prepared 1192 01:04:26,760 --> 01:04:29,240 Speaker 1: to say here today. But uh, I really hope we 1193 01:04:29,320 --> 01:04:33,320 Speaker 1: have left you not panicking, uh, not more afraid than 1194 01:04:33,320 --> 01:04:36,160 Speaker 1: when you started, but armed with some knowledge that you 1195 01:04:36,200 --> 01:04:39,320 Speaker 1: can use to help ready yourself. Yeah, you've got you've 1196 01:04:39,320 --> 01:04:41,800 Speaker 1: got some information. You've got some knowledge. Um, maybe a 1197 01:04:41,840 --> 01:04:44,000 Speaker 1: little better idea about where you should go for additional 1198 01:04:44,040 --> 01:04:47,919 Speaker 1: information again c D C W h O. Uh, those 1199 01:04:47,920 --> 01:04:51,360 Speaker 1: are great places to seek out for additional information. Again, 1200 01:04:51,480 --> 01:04:54,880 Speaker 1: bear in mind the date of this publication. Compare that 1201 01:04:54,920 --> 01:04:57,840 Speaker 1: to when you're listening to this episode, because things are 1202 01:04:57,880 --> 01:05:02,120 Speaker 1: going to change. Information is going to improve. Um. Also, yeah, 1203 01:05:02,160 --> 01:05:04,480 Speaker 1: we've we've let you know that there are four Watchers 1204 01:05:04,560 --> 01:05:06,640 Speaker 1: movies so you can watch while you're sealed up in 1205 01:05:06,640 --> 01:05:09,480 Speaker 1: your home eating your noodles and eating your Kinder eggs. 1206 01:05:10,200 --> 01:05:16,200 Speaker 1: Are Kinder eggs shelf stable candy? Yeah? I think they are. Yeah, 1207 01:05:16,440 --> 01:05:18,960 Speaker 1: I mean they know you heard it here. That's how 1208 01:05:19,000 --> 01:05:20,920 Speaker 1: you get through. I mean they have they have an 1209 01:05:20,920 --> 01:05:23,960 Speaker 1: expiration day. But I think they're good for a little bit. 1210 01:05:24,280 --> 01:05:25,960 Speaker 1: I don't think I've ever had a kinderrect. You don't 1211 01:05:25,960 --> 01:05:28,360 Speaker 1: have to worry about them hatching is the thing. There 1212 01:05:28,400 --> 01:05:31,560 Speaker 1: are no special like Maguai gremlin rules in play. That's 1213 01:05:31,560 --> 01:05:34,200 Speaker 1: a very good, very good feature. Obviously, we'd love to 1214 01:05:34,240 --> 01:05:36,640 Speaker 1: hear from anyone out there, you know, especially if you 1215 01:05:36,640 --> 01:05:41,400 Speaker 1: if you have any firsthand experience with pandemics or with 1216 01:05:41,920 --> 01:05:45,800 Speaker 1: this particular coronavirus UM. You know, we we we'd appreciate 1217 01:05:45,840 --> 01:05:48,280 Speaker 1: hearing from the via email. Uh. In the meantime, if 1218 01:05:48,280 --> 01:05:49,919 Speaker 1: you want to check out other episodes of our show, 1219 01:05:49,960 --> 01:05:52,760 Speaker 1: you can find it wherever you get your podcasts. Stuff 1220 01:05:52,760 --> 01:05:55,120 Speaker 1: to blow your mind is everywhere wherever you get it. 1221 01:05:55,160 --> 01:05:58,240 Speaker 1: Just make sure that you, rate, review, and subscribe. This 1222 01:05:58,360 --> 01:06:00,560 Speaker 1: really helps us out in the long run. And oh 1223 01:06:00,800 --> 01:06:03,040 Speaker 1: for our listeners out there, any listeners who are in 1224 01:06:03,080 --> 01:06:05,920 Speaker 1: the Atlanta area, UM, I want to let you know 1225 01:06:06,040 --> 01:06:08,680 Speaker 1: that there is an event coming up part of the 1226 01:06:08,720 --> 01:06:12,960 Speaker 1: Atlanta Science Festival. It's called How Snakes Work. It is 1227 01:06:13,000 --> 01:06:16,520 Speaker 1: going to be on Saturday, March seven from two pm 1228 01:06:16,560 --> 01:06:18,480 Speaker 1: to four pm. You can find out about it at 1229 01:06:18,520 --> 01:06:22,240 Speaker 1: Atlanta Science Festival dot org. But it's pretty cool because 1230 01:06:22,240 --> 01:06:24,919 Speaker 1: it is a It is a team up effort from 1231 01:06:25,120 --> 01:06:28,640 Speaker 1: how Stuff Works, the website from which we spawned, and 1232 01:06:28,840 --> 01:06:32,840 Speaker 1: the Amphibian Foundation uh Mark Bendinka's organization. Matt Mark Mendick 1233 01:06:32,920 --> 01:06:34,520 Speaker 1: of course is a friend of the show and has 1234 01:06:34,560 --> 01:06:38,760 Speaker 1: been on to discuss amphibians, uh snakes, lizards and more. 1235 01:06:39,120 --> 01:06:42,480 Speaker 1: Sounds amazing, Yeah, so go check that out. It sounds slimy. 1236 01:06:42,640 --> 01:06:45,360 Speaker 1: Snakes are not slimy, Joe, there are if you greasome up. 1237 01:06:45,920 --> 01:06:48,720 Speaker 1: I guess so huge. Thanks as always to our excellent 1238 01:06:48,760 --> 01:06:51,720 Speaker 1: audio producer Seth Nicholas Johnson. If you would like to 1239 01:06:51,720 --> 01:06:53,920 Speaker 1: get in touch with us with feedback on this episode 1240 01:06:54,000 --> 01:06:56,040 Speaker 1: or any other to suggest a topic for the future, 1241 01:06:56,160 --> 01:06:59,320 Speaker 1: just to say hi, you can email us at contact 1242 01:06:59,520 --> 01:07:09,720 Speaker 1: at Stuff to Blow Your Mind dot com. Stuff to 1243 01:07:09,760 --> 01:07:12,280 Speaker 1: Blow Your Mind is production of I heart Radio. For 1244 01:07:12,360 --> 01:07:14,560 Speaker 1: more podcasts for my heart Radio, visit the i heart 1245 01:07:14,640 --> 01:07:17,360 Speaker 1: Radio app, Apple Podcasts, or wherever you listening to your 1246 01:07:17,360 --> 01:07:30,640 Speaker 1: favorite shows.