1 00:00:00,200 --> 00:00:03,199 Speaker 1: Hi everyone, I'm Katie Curic and welcome to Next Question. 2 00:00:05,519 --> 00:00:08,680 Speaker 1: For a special edition of Next Question, I had a 3 00:00:08,680 --> 00:00:15,160 Speaker 1: wonderful conversation with Dr Anthony Faucci. Dr Faucci, how are 4 00:00:15,200 --> 00:00:17,920 Speaker 1: you fine? Thank you? How are you? This has been 5 00:00:18,040 --> 00:00:22,320 Speaker 1: an unprecedented time in our nation's history. The country, and 6 00:00:22,520 --> 00:00:26,440 Speaker 1: in fact the world, was already losing faith in science. 7 00:00:27,040 --> 00:00:30,560 Speaker 1: But Dr Faucci has been a much needed bomb, a 8 00:00:30,800 --> 00:00:34,800 Speaker 1: sav of sorts for our wounded spirit, and he has 9 00:00:34,840 --> 00:00:40,960 Speaker 1: helped emphasize the importance of science and facts. The nation's 10 00:00:41,000 --> 00:00:44,760 Speaker 1: top infectious disease expert has also become something of a celebrity. 11 00:00:45,080 --> 00:00:48,680 Speaker 1: You can buy Dr Fauci mugs, t shirt, socks, bobble heads, 12 00:00:48,720 --> 00:00:51,880 Speaker 1: you name it. Brad Pitt even landed an Emmy nomination 13 00:00:52,000 --> 00:00:55,040 Speaker 1: for playing him on SNL. And when I hear things 14 00:00:55,040 --> 00:00:57,160 Speaker 1: like the virus can be cured if everyone takes the 15 00:00:57,240 --> 00:01:01,000 Speaker 1: tide Pod challenge, I'll be there to say please don't. 16 00:01:01,640 --> 00:01:05,000 Speaker 1: So far, the coronavirus has infected more than six million 17 00:01:05,040 --> 00:01:09,319 Speaker 1: Americans and killed one hundred and eighty seven thousand, and 18 00:01:09,360 --> 00:01:11,800 Speaker 1: As we head into the fall, health officials are bracing 19 00:01:11,800 --> 00:01:14,520 Speaker 1: to battle what could be in fact a twin demic 20 00:01:15,000 --> 00:01:19,080 Speaker 1: as the virus outbreak collides with blue season. I spoke 21 00:01:19,080 --> 00:01:22,600 Speaker 1: with Dr Fauci about how we can best protect ourselves, 22 00:01:22,920 --> 00:01:25,160 Speaker 1: where we are in the race to find a vaccine, 23 00:01:25,560 --> 00:01:28,120 Speaker 1: what you should know about sending your kids to school, 24 00:01:28,520 --> 00:01:32,600 Speaker 1: and whether the world has entered a pandemic era. But 25 00:01:32,760 --> 00:01:36,640 Speaker 1: first he explained why our behavior through Labor Day weekend 26 00:01:36,959 --> 00:01:40,520 Speaker 1: could have a real impact on how the coronavirus spreads 27 00:01:40,880 --> 00:01:46,000 Speaker 1: throughout the next few months. We're approaching Labor Day, and 28 00:01:46,040 --> 00:01:50,000 Speaker 1: I know you've urged people to continue to exercise caution 29 00:01:50,080 --> 00:01:53,160 Speaker 1: and not to have sort of pandemic fatigue. We saw 30 00:01:53,320 --> 00:01:57,760 Speaker 1: surge after Memorial Day and the Fourth of July holiday weekends. 31 00:01:57,800 --> 00:02:00,400 Speaker 1: But you've also said, Dr Vauchi, the way we handle 32 00:02:00,480 --> 00:02:03,760 Speaker 1: Labor Day will determine what the virus does over the 33 00:02:03,800 --> 00:02:06,440 Speaker 1: fall months. What exactly did you mean by that? When 34 00:02:06,440 --> 00:02:09,480 Speaker 1: you go into the fall, as the weather starts to 35 00:02:09,600 --> 00:02:13,920 Speaker 1: chill and more people will be spending indoors, then that 36 00:02:14,080 --> 00:02:18,160 Speaker 1: is a perfect setup for a resurgence of cases. The 37 00:02:18,240 --> 00:02:21,680 Speaker 1: point that I was making, Katie is that right now 38 00:02:21,760 --> 00:02:24,200 Speaker 1: we are at a baseline that in my mind is 39 00:02:24,280 --> 00:02:30,119 Speaker 1: unacceptably high, where at about forty cases per day. If 40 00:02:30,120 --> 00:02:33,400 Speaker 1: you look at some of the European countries and even 41 00:02:33,480 --> 00:02:36,519 Speaker 1: some states and cities in the United States, when you 42 00:02:36,639 --> 00:02:40,040 Speaker 1: peaked up and you come down to a very low baseline, 43 00:02:40,040 --> 00:02:43,280 Speaker 1: when you get individual cases, you can much better control 44 00:02:43,400 --> 00:02:48,400 Speaker 1: them then when you have twenty cases. So the point 45 00:02:48,440 --> 00:02:51,120 Speaker 1: I was making about Labor Day is that if we 46 00:02:51,160 --> 00:02:54,520 Speaker 1: can prevent the surge of Labor Day and keep the 47 00:02:54,560 --> 00:02:57,360 Speaker 1: cases coming down and down, which if you look at 48 00:02:57,360 --> 00:03:00,839 Speaker 1: the map of the country, for the most part, we've 49 00:03:00,880 --> 00:03:04,000 Speaker 1: got hit badly, and then we turned it around. We 50 00:03:04,120 --> 00:03:06,760 Speaker 1: got hit badly, and then the most recent one as 51 00:03:06,760 --> 00:03:11,440 Speaker 1: you well know, we're in the southern states of Florida, Texas, California, 52 00:03:11,440 --> 00:03:15,280 Speaker 1: and Arizona. We've now turned that around. What we do 53 00:03:15,320 --> 00:03:19,160 Speaker 1: not need is another surge. So if we can get 54 00:03:19,200 --> 00:03:23,440 Speaker 1: through the Labor Day weekend and not be up, but 55 00:03:23,600 --> 00:03:27,720 Speaker 1: actually continue to go down, that would be momentum as 56 00:03:27,720 --> 00:03:30,919 Speaker 1: we get into the full of going in the right direction. 57 00:03:31,000 --> 00:03:33,480 Speaker 1: So that's really what I meant by that statement. And 58 00:03:33,520 --> 00:03:37,120 Speaker 1: so you were worried that if people get complacent that 59 00:03:37,280 --> 00:03:39,680 Speaker 1: the numbers will go up. Is that what happened in Europe, 60 00:03:39,760 --> 00:03:43,360 Speaker 1: Dr Fauci, because they're reporting the highest numbers or the 61 00:03:43,440 --> 00:03:47,320 Speaker 1: highest number of cases they've seen since March. Right, Yeah, 62 00:03:48,000 --> 00:03:51,640 Speaker 1: that's true. And what happened is that they actually, interestingly, 63 00:03:51,800 --> 00:03:56,200 Speaker 1: did a really good job of locking down much more 64 00:03:56,320 --> 00:03:59,800 Speaker 1: thoroughly actually than we did, which may be the reason 65 00:04:00,040 --> 00:04:02,839 Speaker 1: why when they went down to a baseline, they were 66 00:04:02,880 --> 00:04:06,600 Speaker 1: way lower than we were. What we have to worry 67 00:04:06,640 --> 00:04:09,880 Speaker 1: about and guard against is what's happening right now in 68 00:04:09,960 --> 00:04:13,520 Speaker 1: some countries in Europe, and that is, you know, shut 69 00:04:13,560 --> 00:04:17,000 Speaker 1: down fatigue. They just felt they were shut down so 70 00:04:17,120 --> 00:04:21,240 Speaker 1: long that instead of prudently and carefully trying to open 71 00:04:21,320 --> 00:04:24,800 Speaker 1: up their economy, they did what many of us in 72 00:04:24,800 --> 00:04:27,000 Speaker 1: the United States did when you looked at the pictures 73 00:04:27,040 --> 00:04:31,200 Speaker 1: of people crowding around bars, they went to the other extreme. So, 74 00:04:31,320 --> 00:04:34,839 Speaker 1: getting back to what you just asked me a little 75 00:04:34,839 --> 00:04:39,080 Speaker 1: while ago about the Labor Day weekend, we don't want 76 00:04:39,120 --> 00:04:42,280 Speaker 1: people to lock themselves in a closet for Labor Day 77 00:04:42,279 --> 00:04:45,560 Speaker 1: weekend at all. You want to get outside. You can 78 00:04:45,600 --> 00:04:49,400 Speaker 1: have fun as long as you do some fundamental public 79 00:04:49,440 --> 00:04:54,280 Speaker 1: health principles. Wearing a mask, physical distance, avoid crowd, and 80 00:04:54,360 --> 00:04:57,840 Speaker 1: for goodness sakes, anything that you could possibly do outside 81 00:04:58,240 --> 00:05:02,200 Speaker 1: as opposed to inside keep it outside. If you do that, 82 00:05:02,400 --> 00:05:06,640 Speaker 1: we know from experience that you won't see surges, you 83 00:05:06,680 --> 00:05:11,320 Speaker 1: will be able to contain any outbreak. The CDC has 84 00:05:11,360 --> 00:05:15,159 Speaker 1: asked states to prepare for a coronavirus vaccine to be 85 00:05:15,240 --> 00:05:19,160 Speaker 1: ready to distribute by November, and I'm wondering, Dr Faucer, 86 00:05:19,279 --> 00:05:24,480 Speaker 1: are you concerned about fast tracking a vaccine before clinical 87 00:05:24,600 --> 00:05:27,960 Speaker 1: trials are completed. I wouldn't say I'm concerned. I'm I'm 88 00:05:28,080 --> 00:05:31,880 Speaker 1: I'm I'm fairly certain that that's not going to happen, 89 00:05:32,400 --> 00:05:35,440 Speaker 1: because we know I mean, and I've made this statement, 90 00:05:35,520 --> 00:05:39,160 Speaker 1: Katie multiple times over the months, that it is likely 91 00:05:39,200 --> 00:05:40,640 Speaker 1: that we will know if we have a safe and 92 00:05:40,680 --> 00:05:44,440 Speaker 1: effective vaccine by the end of this coundar year November 93 00:05:44,520 --> 00:05:47,480 Speaker 1: or December, so that we could have vaccine doses by 94 00:05:47,520 --> 00:05:50,480 Speaker 1: the end, and as we go into one, it is 95 00:05:50,520 --> 00:05:54,080 Speaker 1: conceivable that we may do it earlier. I mean, there's 96 00:05:54,120 --> 00:05:56,760 Speaker 1: no you can't rule that out, because if you have 97 00:05:56,800 --> 00:06:00,640 Speaker 1: a lot of infections within an area where they're actually 98 00:06:00,680 --> 00:06:04,680 Speaker 1: testing the vaccine, you could get an answer earlier than 99 00:06:04,720 --> 00:06:08,160 Speaker 1: November and December. So I'm not ruling out the possibility 100 00:06:08,200 --> 00:06:11,800 Speaker 1: that we might know at the end of October. But 101 00:06:11,960 --> 00:06:14,760 Speaker 1: there's no guarantee. In fact, if I would predict, I 102 00:06:14,800 --> 00:06:19,160 Speaker 1: would say that that is unlikely. It's not impossible, but unlikely. 103 00:06:19,520 --> 00:06:24,800 Speaker 1: So the CDC saying they're preparing for that eventuality, I 104 00:06:24,839 --> 00:06:27,920 Speaker 1: don't think that should be interpreted that anything is going 105 00:06:27,960 --> 00:06:30,719 Speaker 1: to be rushed. I think it should be interpreted that 106 00:06:30,880 --> 00:06:34,520 Speaker 1: just in case we're lucky enough to get an early answer, 107 00:06:34,880 --> 00:06:37,000 Speaker 1: we want to be ready for it. That's really what 108 00:06:37,040 --> 00:06:39,919 Speaker 1: they meant, even if it indicates so Dr Fauci, it 109 00:06:40,000 --> 00:06:42,479 Speaker 1: might be effective. I mean, there's a reason there's a 110 00:06:42,520 --> 00:06:46,680 Speaker 1: phase one, two, and three clinical trial right our process, 111 00:06:46,920 --> 00:06:50,520 Speaker 1: and and shouldn't all those phases be completed? I mean, 112 00:06:50,560 --> 00:06:53,080 Speaker 1: do you think it's okay to put a drug on 113 00:06:53,080 --> 00:06:56,120 Speaker 1: the marketplace of phase three clinical trials have not been 114 00:06:56,279 --> 00:06:59,039 Speaker 1: not taken place? Well, you know, there is a little 115 00:06:59,040 --> 00:07:01,320 Speaker 1: bit of a nuance and a subtlety there that I 116 00:07:01,360 --> 00:07:04,240 Speaker 1: think people need to understand. First of all, I completely 117 00:07:04,279 --> 00:07:07,200 Speaker 1: agree with you, and I'll confirm what I've said before. 118 00:07:07,320 --> 00:07:11,400 Speaker 1: I will not be satisfied until our vaccine that we 119 00:07:11,600 --> 00:07:15,360 Speaker 1: allow to be distributed among the American public has to 120 00:07:15,400 --> 00:07:20,240 Speaker 1: be both safe and effective. Both safe and effective, but 121 00:07:20,280 --> 00:07:24,440 Speaker 1: A potential scenario would be is that as you're testing 122 00:07:24,800 --> 00:07:28,160 Speaker 1: the vaccine, we have a data and safety Monitoring board, 123 00:07:28,200 --> 00:07:31,760 Speaker 1: which is an independent board of people who incommittently look 124 00:07:31,760 --> 00:07:34,600 Speaker 1: at the data to see if it is too bad 125 00:07:35,000 --> 00:07:37,960 Speaker 1: or too good. Namely, you might want to interrupt the 126 00:07:38,040 --> 00:07:44,040 Speaker 1: trial before you finished the actual um observation over the 127 00:07:44,080 --> 00:07:48,160 Speaker 1: predetermined time. So what could happen is that you look 128 00:07:48,200 --> 00:07:50,840 Speaker 1: at the data and the independent group may say, you know, 129 00:07:50,920 --> 00:07:54,640 Speaker 1: we have enough data to know that this is actually 130 00:07:54,960 --> 00:07:58,200 Speaker 1: an effective vaccine and it looks pretty safe, so let's 131 00:07:58,240 --> 00:08:01,400 Speaker 1: get it to the American people by mechanism called by 132 00:08:01,440 --> 00:08:06,520 Speaker 1: an emergency use authorization. That doesn't mean you stop the trial. 133 00:08:06,640 --> 00:08:10,200 Speaker 1: It means that you could make the vaccine available to 134 00:08:10,360 --> 00:08:14,120 Speaker 1: certain people who could benefit from it the most, like 135 00:08:14,280 --> 00:08:18,440 Speaker 1: first line responders or healthcare workers or people at the 136 00:08:18,520 --> 00:08:23,160 Speaker 1: same time as you're gathering additional safety information. So you 137 00:08:23,240 --> 00:08:25,960 Speaker 1: don't have to call the trial off. But that would 138 00:08:25,960 --> 00:08:28,720 Speaker 1: be a very special situation. I'd want to make sure 139 00:08:28,800 --> 00:08:32,600 Speaker 1: that when that decision is made, it's made really on 140 00:08:32,640 --> 00:08:35,400 Speaker 1: the basis of efficacy. A lot of people say they 141 00:08:35,440 --> 00:08:39,480 Speaker 1: would not take the vaccine um that that they just 142 00:08:39,520 --> 00:08:43,120 Speaker 1: don't feel comfortable, and I'm curious would you take it? 143 00:08:43,520 --> 00:08:47,640 Speaker 1: And what about the people who say they're not interested 144 00:08:47,679 --> 00:08:49,360 Speaker 1: in taking it? And are you worried this is going 145 00:08:49,400 --> 00:08:52,920 Speaker 1: to fuel the anti vax movement? Dr Kalki. Okay, so 146 00:08:53,000 --> 00:08:55,920 Speaker 1: let's start off with your first question, Katie, if if 147 00:08:55,679 --> 00:08:58,640 Speaker 1: if the vaccine, which in my mind, it would have 148 00:08:58,760 --> 00:09:01,880 Speaker 1: to be the following if we if we allow it 149 00:09:01,960 --> 00:09:04,320 Speaker 1: to be given to the American public, it would have 150 00:09:04,400 --> 00:09:08,720 Speaker 1: to be proven and scientifically sound study to be both 151 00:09:08,760 --> 00:09:12,839 Speaker 1: safe and effective. If that occurs, and I'm cautiously optimistic 152 00:09:12,880 --> 00:09:17,240 Speaker 1: that it will, I would readily take the vacccine, and 153 00:09:17,280 --> 00:09:20,960 Speaker 1: I would recommend that my family takes the vaccine. The 154 00:09:21,040 --> 00:09:24,440 Speaker 1: second question that you have is am I concerned about 155 00:09:24,480 --> 00:09:27,560 Speaker 1: people not wanting to take the vaccine? I am, because 156 00:09:27,800 --> 00:09:30,760 Speaker 1: you know there is an underlying current in this country 157 00:09:30,800 --> 00:09:34,640 Speaker 1: that goes back to measles and other vaccines that people 158 00:09:34,679 --> 00:09:38,320 Speaker 1: are skeptical about taking a vaccine. And I think the 159 00:09:38,360 --> 00:09:40,560 Speaker 1: best way to get around that is to do good 160 00:09:40,600 --> 00:09:45,240 Speaker 1: community outreach, be very transparent about the data, Let all 161 00:09:45,320 --> 00:09:49,160 Speaker 1: the decision making process be open and easily discussed, so 162 00:09:49,280 --> 00:09:52,719 Speaker 1: people can see that when we say it's safe and effective. 163 00:09:52,760 --> 00:09:55,120 Speaker 1: It really is safe and effective. And what are you 164 00:09:55,160 --> 00:09:58,320 Speaker 1: hearing about it? Dr Fauci. Obviously you're talking to some 165 00:09:58,400 --> 00:10:03,480 Speaker 1: of these companies. Are you hearing that it's it's very promising? 166 00:10:03,520 --> 00:10:05,640 Speaker 1: Are you hearing that it's going to work on everyone? 167 00:10:05,800 --> 00:10:08,240 Speaker 1: Will there have to be a booster shot? Can you 168 00:10:08,280 --> 00:10:11,079 Speaker 1: give us some insight into those questions? Yeah? No, Well 169 00:10:11,080 --> 00:10:14,079 Speaker 1: I'm very heavily involved in that, Katie, because I mean, 170 00:10:14,679 --> 00:10:17,760 Speaker 1: at least a couple of the vaccines, we were very 171 00:10:17,840 --> 00:10:21,760 Speaker 1: much involved in developing and implementing the clinical trial. So 172 00:10:21,920 --> 00:10:24,920 Speaker 1: if you, for example, the trials that are in phase 173 00:10:25,200 --> 00:10:28,560 Speaker 1: three now, particularly the MODERNA trial and the trial from 174 00:10:28,640 --> 00:10:31,760 Speaker 1: Fiser and to some extent the trial from from a 175 00:10:31,960 --> 00:10:35,240 Speaker 1: Z that when you look at the phase one trial, now, 176 00:10:35,320 --> 00:10:39,360 Speaker 1: phase one is a relatively small number of people. That's 177 00:10:39,360 --> 00:10:41,640 Speaker 1: the reason why, as you said, correctly, you want to 178 00:10:41,679 --> 00:10:43,800 Speaker 1: go to phase two and phase three. But in the 179 00:10:43,840 --> 00:10:46,720 Speaker 1: phase one trial, I looked at the data very carefully, 180 00:10:46,720 --> 00:10:50,320 Speaker 1: and it's published now in the medical literature that the 181 00:10:50,400 --> 00:10:55,880 Speaker 1: induction of a response in the volunteers was really quite promising. 182 00:10:56,000 --> 00:10:59,520 Speaker 1: It was a robust response, that it was at least 183 00:10:59,559 --> 00:11:03,599 Speaker 1: as good or even better than the kind of response 184 00:11:03,679 --> 00:11:07,040 Speaker 1: you get from natural infection, and one of the tenants 185 00:11:07,720 --> 00:11:11,120 Speaker 1: of vaccine development is that you'd like to do as 186 00:11:11,200 --> 00:11:16,520 Speaker 1: well as natural infection does in inducing a protective response. Still, 187 00:11:16,559 --> 00:11:20,240 Speaker 1: at least with that limited amount of data, I would 188 00:11:20,240 --> 00:11:23,559 Speaker 1: say that I'm cautiously optimistic that we're on a good 189 00:11:23,600 --> 00:11:28,360 Speaker 1: path to getting to where we want to be. We'll 190 00:11:28,400 --> 00:11:40,240 Speaker 1: have more with Dr Anthony Fauci right after this. You know, 191 00:11:40,320 --> 00:11:44,280 Speaker 1: it seems that people of color are not being uh shown, 192 00:11:44,440 --> 00:11:48,200 Speaker 1: are not being represented in the current US vaccine trials 193 00:11:48,240 --> 00:11:52,040 Speaker 1: Black and Latino people, despite the fact that those communities, 194 00:11:52,120 --> 00:11:54,839 Speaker 1: as you well know, Dr Fauci, have been hardest hit 195 00:11:55,800 --> 00:11:59,880 Speaker 1: by this virus. Is there any way to remedy that 196 00:12:00,760 --> 00:12:04,200 Speaker 1: late in the process. It's not too late. The trials 197 00:12:04,200 --> 00:12:07,400 Speaker 1: are more than half enrolled. We know that they're close 198 00:12:07,440 --> 00:12:10,720 Speaker 1: to twenty thousand out of the thirty thousand individuals in 199 00:12:10,760 --> 00:12:14,480 Speaker 1: the trials. You know, for goodness sakes and the Lord 200 00:12:14,559 --> 00:12:17,960 Speaker 1: knows that we're trying, we really do want to get 201 00:12:18,320 --> 00:12:22,280 Speaker 1: African Americans and Latin X and other minorities in the trial. 202 00:12:22,320 --> 00:12:25,400 Speaker 1: We're doing better with Latino X than we all with 203 00:12:25,440 --> 00:12:29,040 Speaker 1: African Americans. I still want to get the percentage in 204 00:12:29,080 --> 00:12:33,480 Speaker 1: the trial of African Americans higher than it is right now. 205 00:12:34,160 --> 00:12:37,520 Speaker 1: You know, there's understandable skepticism on the part of that 206 00:12:37,640 --> 00:12:40,560 Speaker 1: demographic group when it comes to vaccines. They have not 207 00:12:41,000 --> 00:12:45,320 Speaker 1: historically been treated well by government research endeavors. We know 208 00:12:45,440 --> 00:12:48,440 Speaker 1: that that's a sad part of our history. We have 209 00:12:48,520 --> 00:12:51,160 Speaker 1: to get over that, and that's the reason why we're 210 00:12:51,200 --> 00:12:55,800 Speaker 1: employing every manner of community outreach to get the African 211 00:12:55,800 --> 00:13:00,720 Speaker 1: American population to appreciate that they need to get vaccinated 212 00:13:00,760 --> 00:13:05,320 Speaker 1: for precisely the reasons you just mentioned. A. They have 213 00:13:05,400 --> 00:13:08,240 Speaker 1: a greater chance of getting infected by the basis of 214 00:13:08,320 --> 00:13:11,400 Speaker 1: the jobs that they find themselves in. It's much less 215 00:13:11,440 --> 00:13:13,840 Speaker 1: likely they're going to be sitting in front of a computer. 216 00:13:13,920 --> 00:13:17,360 Speaker 1: They likely will be in first line jobs where they're 217 00:13:17,400 --> 00:13:20,640 Speaker 1: in physical contact with people. So they have a risk 218 00:13:21,040 --> 00:13:25,240 Speaker 1: that's greater than the general population of getting infected. And importantly, 219 00:13:25,920 --> 00:13:29,840 Speaker 1: when they do get infected, they have the underlying conditions 220 00:13:29,880 --> 00:13:33,079 Speaker 1: to a greater extent than the rest of the population, 221 00:13:33,160 --> 00:13:36,240 Speaker 1: which makes it more likely that they will have a 222 00:13:36,320 --> 00:13:43,559 Speaker 1: severe outcome of infection, and that's hypertension, obesity, diabetes, chronic 223 00:13:44,320 --> 00:13:48,360 Speaker 1: renal disease, chronic lung disease. It's very unfortunate. Those are 224 00:13:48,720 --> 00:13:52,640 Speaker 1: social determinants of health that are decades in the making. 225 00:13:52,720 --> 00:13:55,360 Speaker 1: We can't do anything about that. But what we can 226 00:13:55,520 --> 00:13:58,920 Speaker 1: do apropos of what you just asked, is we can 227 00:13:59,000 --> 00:14:02,400 Speaker 1: get them vaccinated to prevent that from happening to them. 228 00:14:02,960 --> 00:14:05,800 Speaker 1: Stand Up to Cancer, which I founded twelve years ago, 229 00:14:05,920 --> 00:14:08,840 Speaker 1: has a whole new health equity initiative where we're trying 230 00:14:08,880 --> 00:14:12,160 Speaker 1: to get more people of color involved in clinical cancer 231 00:14:12,200 --> 00:14:17,240 Speaker 1: clinical trials. And I think it's the medical community really 232 00:14:17,320 --> 00:14:21,160 Speaker 1: is has just woken up, I think, to this disparity 233 00:14:21,200 --> 00:14:24,440 Speaker 1: and how critically it important it is to have representation 234 00:14:24,480 --> 00:14:28,040 Speaker 1: in these clinical trials. So if we can just make 235 00:14:28,080 --> 00:14:31,280 Speaker 1: sure that people, let you know, people of color, know 236 00:14:32,040 --> 00:14:36,160 Speaker 1: that these trials are happening and encourage them to participate, 237 00:14:36,240 --> 00:14:39,240 Speaker 1: that would be a really positive thing for for everyone. 238 00:14:39,480 --> 00:14:41,720 Speaker 1: Are you concerned that the US has decided not to 239 00:14:42,120 --> 00:14:49,080 Speaker 1: not to cooperate with the WHO to equitably distribute this vaccine? Uh? 240 00:14:49,200 --> 00:14:52,680 Speaker 1: You know, I mean, obviously I have been a proponent 241 00:14:52,800 --> 00:14:56,680 Speaker 1: for decades of equitable distribution of vaccine. I think that 242 00:14:56,800 --> 00:15:00,880 Speaker 1: is going to happen, and in fact, we will almost certainly, Katie, 243 00:15:00,920 --> 00:15:05,560 Speaker 1: participate in that distribution to other countries, even though it 244 00:15:05,720 --> 00:15:10,000 Speaker 1: isn't part of the official WHO effort, because if you 245 00:15:10,120 --> 00:15:13,880 Speaker 1: look at the dosage is that we have pre purchased, 246 00:15:13,960 --> 00:15:18,520 Speaker 1: it goes well beyond the number required for the United States. 247 00:15:18,880 --> 00:15:21,359 Speaker 1: So the end of the day, what's going to functionally 248 00:15:21,400 --> 00:15:24,400 Speaker 1: happen anyway, is that we're going to be participating in 249 00:15:24,440 --> 00:15:27,600 Speaker 1: that type of distribution. You know, this has been such 250 00:15:27,600 --> 00:15:30,440 Speaker 1: a stressful time, Dr Fauci. I know you've you've addressed 251 00:15:30,520 --> 00:15:34,040 Speaker 1: this in other interviews for parents and for students, whether 252 00:15:34,240 --> 00:15:38,120 Speaker 1: they're in kindergarten or headed off to college. And I 253 00:15:38,160 --> 00:15:40,960 Speaker 1: know that your alma mater, Holy Cross, decided to go 254 00:15:41,320 --> 00:15:46,360 Speaker 1: entirely online after previously creating an in person back to 255 00:15:46,400 --> 00:15:49,240 Speaker 1: school plan, And I'm just curious, did you help advise 256 00:15:49,320 --> 00:15:52,880 Speaker 1: the university and is that an indicator in your mind 257 00:15:52,920 --> 00:15:56,840 Speaker 1: that other colleges and university should follow their lead. You 258 00:15:56,880 --> 00:15:58,760 Speaker 1: know it's going to be but that's a great question, 259 00:15:58,840 --> 00:16:00,840 Speaker 1: and it's really going to be different, and from university 260 00:16:00,920 --> 00:16:06,160 Speaker 1: to university, depending upon the capability of a particularly institution 261 00:16:06,480 --> 00:16:11,520 Speaker 1: to be able to handle students who ultimately get infected. So, 262 00:16:11,680 --> 00:16:15,360 Speaker 1: for example, several of the universities, some of which I've 263 00:16:15,400 --> 00:16:19,000 Speaker 1: actually had the opportunity to be an informal adviser, to 264 00:16:19,600 --> 00:16:22,400 Speaker 1: have a system where they essentially test everybody before they 265 00:16:22,400 --> 00:16:26,440 Speaker 1: come in. Then they do intermittent surveillance testing. The critical 266 00:16:26,560 --> 00:16:31,600 Speaker 1: issue that we're emphasizing now that some universities have done it, 267 00:16:31,960 --> 00:16:34,600 Speaker 1: not optimally and not I don't mean to blame them, 268 00:16:34,600 --> 00:16:36,960 Speaker 1: but now we know what to do is that when 269 00:16:37,000 --> 00:16:41,480 Speaker 1: the students at the university level get infected, you don't 270 00:16:41,520 --> 00:16:44,560 Speaker 1: want to send them home, because when you send them home, 271 00:16:44,960 --> 00:16:48,520 Speaker 1: they essentially go into a house, infect their family, go 272 00:16:48,640 --> 00:16:52,760 Speaker 1: and infect their community. Because university students, as we all know, 273 00:16:52,920 --> 00:16:55,400 Speaker 1: come from all different parts of the country. So if 274 00:16:55,400 --> 00:16:57,400 Speaker 1: you bring them in they get infected, then you send 275 00:16:57,400 --> 00:17:01,240 Speaker 1: them home, you're essentially spreading it. So what many of 276 00:17:01,280 --> 00:17:06,760 Speaker 1: the universities they're doing now are providing for places either 277 00:17:06,840 --> 00:17:09,840 Speaker 1: a dorm, an entire dorm, or a couple of fours 278 00:17:09,920 --> 00:17:12,639 Speaker 1: for a dorm, so that when a student gets infected, 279 00:17:12,960 --> 00:17:17,119 Speaker 1: you could safely and comfortably sequester them from the rest 280 00:17:17,400 --> 00:17:22,240 Speaker 1: of the student body without necessarily sending them home. I mean, 281 00:17:22,560 --> 00:17:25,480 Speaker 1: I just had a conversation a little while ago as 282 00:17:25,560 --> 00:17:29,720 Speaker 1: did Dr Burghs with Tommy Thompson, who's the president of 283 00:17:29,760 --> 00:17:35,119 Speaker 1: the University of Wisconsin and exactly my former boss for 284 00:17:35,160 --> 00:17:37,960 Speaker 1: several years. And what Tommy has done is a really 285 00:17:38,280 --> 00:17:42,240 Speaker 1: very interesting way of testing the students, having surveillance and 286 00:17:42,280 --> 00:17:45,280 Speaker 1: if you get infected, putting them in a sequested way 287 00:17:45,320 --> 00:17:48,080 Speaker 1: where you don't have to send them home. Many of 288 00:17:48,119 --> 00:17:51,399 Speaker 1: the colleges are doing that. That's interesting. So the latter 289 00:17:51,560 --> 00:17:55,280 Speaker 1: thing is actually as important as the testing protocol itself, 290 00:17:55,480 --> 00:17:57,680 Speaker 1: to make sure you have a place to put infected 291 00:17:57,720 --> 00:18:00,280 Speaker 1: students where they're not going to affect other students or 292 00:18:00,400 --> 00:18:03,080 Speaker 1: return to their homes. That's exactly correct, and I think 293 00:18:03,119 --> 00:18:05,720 Speaker 1: that's a really important point. You know, when it comes 294 00:18:05,760 --> 00:18:08,239 Speaker 1: to K through twelve, Dr Fauci, it seems like there 295 00:18:08,280 --> 00:18:12,679 Speaker 1: aren't clear procedures across the board for for returning to 296 00:18:12,800 --> 00:18:16,640 Speaker 1: in person learning. And I just feel like through this 297 00:18:16,680 --> 00:18:20,960 Speaker 1: whole pandemic there's been it's been so inconsistent, and I 298 00:18:21,080 --> 00:18:25,960 Speaker 1: realized certain situations call for different measures, but without kind 299 00:18:25,960 --> 00:18:29,399 Speaker 1: of these broad guidelines, it seems like that could be 300 00:18:29,440 --> 00:18:33,680 Speaker 1: a recipe for disaster. No, uh, indeed, So let's try 301 00:18:33,720 --> 00:18:36,240 Speaker 1: and see if you and I can be some consistent 302 00:18:36,440 --> 00:18:39,520 Speaker 1: here and see if we could help out. So I 303 00:18:39,560 --> 00:18:43,480 Speaker 1: think one of the reasons for this perception of inconsistency, 304 00:18:43,520 --> 00:18:47,399 Speaker 1: if not reality of inconsistency, is that we live in 305 00:18:47,440 --> 00:18:50,879 Speaker 1: a really big country and it's very heater a genious 306 00:18:50,880 --> 00:18:54,679 Speaker 1: with regard to the level of infection activity. If you 307 00:18:54,760 --> 00:18:57,000 Speaker 1: look at the map, we have these heat maps Katie, 308 00:18:57,000 --> 00:18:59,639 Speaker 1: which you know, light up of its red, it's green, 309 00:18:59,720 --> 00:19:02,600 Speaker 1: it's yellow. So if you're in a part of the 310 00:19:02,680 --> 00:19:05,480 Speaker 1: country where you're what we call a green zone, which 311 00:19:05,560 --> 00:19:08,920 Speaker 1: means the level of infection is really quite low, you 312 00:19:09,000 --> 00:19:13,679 Speaker 1: can proceed with relative impunity and in person teaching in 313 00:19:13,720 --> 00:19:17,240 Speaker 1: the elementary and middle schools with the children. You have 314 00:19:17,359 --> 00:19:20,320 Speaker 1: to have a plan of what you're going to do 315 00:19:20,400 --> 00:19:23,520 Speaker 1: when children get infected, because no matter where you are, 316 00:19:24,119 --> 00:19:26,360 Speaker 1: they are going to get infected. So you don't want 317 00:19:26,359 --> 00:19:28,320 Speaker 1: to open up and then have to close right down. 318 00:19:28,400 --> 00:19:30,480 Speaker 1: You want to have a plan. When you get into 319 00:19:30,520 --> 00:19:33,840 Speaker 1: the yellow zone, it becomes a little bit more problematic, 320 00:19:33,920 --> 00:19:36,159 Speaker 1: which means that you may have to do some mitigation. 321 00:19:36,560 --> 00:19:41,440 Speaker 1: You might have to alternate morning afternoon every other day, 322 00:19:41,680 --> 00:19:45,679 Speaker 1: part online, part in person. When you get to a 323 00:19:45,760 --> 00:19:49,280 Speaker 1: red zone, then that becomes really problematic for a number 324 00:19:49,280 --> 00:19:52,400 Speaker 1: of reasons. The level of infection may be so high 325 00:19:52,480 --> 00:19:55,520 Speaker 1: in the community that it would really be imprudent to 326 00:19:55,640 --> 00:19:58,720 Speaker 1: just say, Okay, everybody go back to school. And what 327 00:19:58,760 --> 00:20:02,080 Speaker 1: we're seeing, Katie is something really interesting is that the 328 00:20:02,200 --> 00:20:06,240 Speaker 1: parents and the teachers are really talking with their feet. 329 00:20:06,760 --> 00:20:09,160 Speaker 1: They're not showing up. They're saying, you know, I don't 330 00:20:09,200 --> 00:20:11,720 Speaker 1: really want to go in to a school in a 331 00:20:11,800 --> 00:20:14,560 Speaker 1: red zone. When I'm a teacher that might have an 332 00:20:14,600 --> 00:20:18,440 Speaker 1: underlying condition, I'll do it by virtual, but I don't 333 00:20:18,440 --> 00:20:20,600 Speaker 1: really want to come in. And that's what's actually happening. 334 00:20:20,880 --> 00:20:24,320 Speaker 1: You can understand that though, right Dr Fauci, I totally 335 00:20:24,359 --> 00:20:27,600 Speaker 1: empathize with them doing that. I mean, there's no doubt 336 00:20:27,640 --> 00:20:32,160 Speaker 1: about that. You really got to respect teachers who are 337 00:20:32,359 --> 00:20:34,600 Speaker 1: either in a certain age group or who have an 338 00:20:34,640 --> 00:20:37,639 Speaker 1: underlying condition that would put them at risk if you 339 00:20:37,680 --> 00:20:41,320 Speaker 1: want them to go to to teach in person in 340 00:20:41,359 --> 00:20:44,080 Speaker 1: a place where you have a very high level of 341 00:20:44,119 --> 00:20:50,240 Speaker 1: infection in that particular community, that is understandable. We'll have 342 00:20:50,359 --> 00:21:02,760 Speaker 1: more with Dr Anthony Fauci right after this. So when 343 00:21:02,760 --> 00:21:05,240 Speaker 1: it comes to testing, and I'm just curious, Dr Fauci. 344 00:21:05,280 --> 00:21:07,720 Speaker 1: A lot of my followers and I wondered this as well. 345 00:21:08,440 --> 00:21:11,719 Speaker 1: If if a lot of people are asymptomatic, what about 346 00:21:12,600 --> 00:21:16,280 Speaker 1: does it make sense to take people's temperatures because they 347 00:21:16,320 --> 00:21:19,880 Speaker 1: could be without a temperature right if there without a fever, 348 00:21:20,040 --> 00:21:24,560 Speaker 1: if there is symptomatic. Well, this may have some people 349 00:21:24,640 --> 00:21:29,560 Speaker 1: disagree with me, but I do not put much uh 350 00:21:29,800 --> 00:21:33,200 Speaker 1: stock in temperature taking. I would much rather when someone 351 00:21:33,280 --> 00:21:36,240 Speaker 1: walks into a place, asked them a few key questions. 352 00:21:36,680 --> 00:21:39,600 Speaker 1: In fact, right here at the NIH where I'm sitting 353 00:21:39,760 --> 00:21:42,440 Speaker 1: right now, and out right across like a hundred feet 354 00:21:42,440 --> 00:21:44,919 Speaker 1: from where we are right now is the NIH Clinical 355 00:21:44,960 --> 00:21:48,440 Speaker 1: Center hospital where I work, we got rid of temperature 356 00:21:48,480 --> 00:21:51,240 Speaker 1: taking going in right now. We just asked questions to 357 00:21:51,280 --> 00:21:54,520 Speaker 1: screen people for the simple reason of what you exactly 358 00:21:54,560 --> 00:22:00,720 Speaker 1: said about asymptomatic, but also the inaccuracy sometimes of temperature. 359 00:22:00,720 --> 00:22:03,520 Speaker 1: Where you put something next to somebody's head, particularly if 360 00:22:03,520 --> 00:22:08,400 Speaker 1: they come out from outside when it's nine three degrees outside, 361 00:22:08,440 --> 00:22:11,560 Speaker 1: you can get some of those positives. The government, as 362 00:22:11,680 --> 00:22:14,600 Speaker 1: you know, is sending out and estimated a hundred and 363 00:22:14,640 --> 00:22:19,600 Speaker 1: fifty million Abbot laboratory rapid COVID nineteen tests. But FDA 364 00:22:19,720 --> 00:22:22,560 Speaker 1: experts say in some cases the results may need to 365 00:22:22,560 --> 00:22:25,480 Speaker 1: be confirmed with the second test, like a nasal swab. 366 00:22:25,880 --> 00:22:28,320 Speaker 1: So um, can you just give us some insight about 367 00:22:28,320 --> 00:22:32,119 Speaker 1: the effectiveness of these fast COVID tests. They're good, Yeah, 368 00:22:32,359 --> 00:22:34,199 Speaker 1: they are good, Katie, I mean, and in fact, it 369 00:22:34,240 --> 00:22:38,760 Speaker 1: is a nasal swab, the new Abbott bin ax that 370 00:22:38,840 --> 00:22:41,640 Speaker 1: you're referring to, the hundred and fifty million you're taking 371 00:22:41,760 --> 00:22:43,720 Speaker 1: nasal swab. You stick it in a little well, you 372 00:22:44,000 --> 00:22:47,040 Speaker 1: put the card down and it reads out with the band. 373 00:22:47,359 --> 00:22:52,520 Speaker 1: It's not only quite specific like nine seven point two, 374 00:22:53,200 --> 00:22:59,439 Speaker 1: it's sensitive. That's pretty good. That's good. Why did the 375 00:22:59,480 --> 00:23:02,280 Speaker 1: FDA say that? Then? Dr falc know, you know, I 376 00:23:02,560 --> 00:23:04,840 Speaker 1: can't address that, kid, because I'm not certain what they 377 00:23:04,880 --> 00:23:07,439 Speaker 1: said and why they said it, So I better not comment. 378 00:23:07,720 --> 00:23:11,320 Speaker 1: I'll get myself in trouble. You don't want to do that. 379 00:23:11,480 --> 00:23:13,960 Speaker 1: How worried are you, by the way, about flu season 380 00:23:14,160 --> 00:23:19,520 Speaker 1: and about handling both a flu epidemic and continuing to 381 00:23:19,600 --> 00:23:24,560 Speaker 1: deal with COVID nineteen. Well, what I'm hoping for is 382 00:23:24,880 --> 00:23:28,520 Speaker 1: two things. One extension of what you and I spoke 383 00:23:28,560 --> 00:23:31,200 Speaker 1: about a few minutes ago about as we get into 384 00:23:31,200 --> 00:23:33,920 Speaker 1: the full do it on a down slope of COVID 385 00:23:33,960 --> 00:23:36,399 Speaker 1: as opposed to an upstill. But the other thing that 386 00:23:36,440 --> 00:23:40,600 Speaker 1: I'm hoping for is that the very public health measures 387 00:23:40,640 --> 00:23:44,920 Speaker 1: that have been targeted to COVID nineteen, I'm gonna mitigate 388 00:23:45,560 --> 00:23:52,680 Speaker 1: the impact of a flu season, namely masks, distancing, avoiding crowds, 389 00:23:53,040 --> 00:23:56,000 Speaker 1: staying outside to the extent possible, particularly as we get 390 00:23:56,000 --> 00:24:00,800 Speaker 1: into the winter, and washing hands. An interesting fact, Katie, 391 00:24:01,160 --> 00:24:04,159 Speaker 1: is that Australia, which is as you know, in the 392 00:24:04,200 --> 00:24:09,160 Speaker 1: Southern Hemisphere and has their flu season during our summer, 393 00:24:09,560 --> 00:24:14,239 Speaker 1: have had a very very light flu season and the 394 00:24:14,240 --> 00:24:17,800 Speaker 1: Australian health authorities, many of whom are my friends and colleagues. 395 00:24:18,240 --> 00:24:21,760 Speaker 1: I feel that the reason for that is that they 396 00:24:21,760 --> 00:24:26,600 Speaker 1: were practicing public health measures to avoid the coronavirus and 397 00:24:26,640 --> 00:24:32,439 Speaker 1: they had the secondary effect you bet, you know, just 398 00:24:32,680 --> 00:24:37,000 Speaker 1: an unintended positive consequence. But haven't said that. I just 399 00:24:37,040 --> 00:24:39,840 Speaker 1: want to make sure we're not discouraging people from getting 400 00:24:39,840 --> 00:24:45,000 Speaker 1: flu shots. Dr Fauci, absolutely not. As soon as the 401 00:24:45,000 --> 00:24:48,520 Speaker 1: flu vaccines become available right here on campus, I will 402 00:24:48,560 --> 00:24:51,919 Speaker 1: be first in line to get one, and I encourage 403 00:24:52,160 --> 00:24:55,679 Speaker 1: everyone six months of age or over to get a 404 00:24:55,680 --> 00:24:59,280 Speaker 1: flu vaccine. I'm gonna get mine what as soon as 405 00:24:59,280 --> 00:25:01,800 Speaker 1: I can, to believe in next week. What do you 406 00:25:01,840 --> 00:25:05,320 Speaker 1: think when you look back at this whole unique chapter 407 00:25:05,359 --> 00:25:08,840 Speaker 1: in our history, Dr Fauci, what do you think, uh, 408 00:25:08,960 --> 00:25:12,360 Speaker 1: the government could have done better? What were the lessons learned? 409 00:25:12,480 --> 00:25:16,840 Speaker 1: And what might have done been done faster and better 410 00:25:17,119 --> 00:25:24,679 Speaker 1: to really keep the number of cases and saddling mortalities down. Well, 411 00:25:24,760 --> 00:25:28,520 Speaker 1: you know, having been in the position I'm in now 412 00:25:28,680 --> 00:25:32,000 Speaker 1: for the last thirty six years as the head of 413 00:25:32,000 --> 00:25:36,000 Speaker 1: this institute, I had the opportunity to be involved in 414 00:25:36,040 --> 00:25:39,760 Speaker 1: a number of outbreaks, from HIV in the eighties, you know, 415 00:25:39,920 --> 00:25:44,280 Speaker 1: to pandemic flu in two thousand nine, to Zeka to Ebola. 416 00:25:45,119 --> 00:25:48,119 Speaker 1: You could always say you could have done something better. 417 00:25:48,320 --> 00:25:51,239 Speaker 1: So I mean the blanket answer to your question, and 418 00:25:51,320 --> 00:25:53,720 Speaker 1: I don't even I don't mean to be facetious at all. 419 00:25:54,119 --> 00:25:56,840 Speaker 1: Hetty is is we could have done everything better, you know, 420 00:25:56,880 --> 00:25:59,520 Speaker 1: a little bit better. You could always do better. I 421 00:25:59,520 --> 00:26:03,399 Speaker 1: mean we have shut down earlier, well retrospectively, of course, 422 00:26:03,920 --> 00:26:06,960 Speaker 1: But if you turn the clock back and say when 423 00:26:07,000 --> 00:26:11,119 Speaker 1: we had one infection in the United States at the 424 00:26:11,160 --> 00:26:15,200 Speaker 1: time that underneath the radar screen it was spreading when 425 00:26:15,200 --> 00:26:18,160 Speaker 1: we had one infection, if we had called to shut 426 00:26:18,200 --> 00:26:21,160 Speaker 1: the country down, what kind of response do you think 427 00:26:21,160 --> 00:26:24,480 Speaker 1: we could have had? Oftenmalia would have been great. If 428 00:26:24,480 --> 00:26:27,440 Speaker 1: we shut it down, then we likely would have avoided 429 00:26:27,440 --> 00:26:30,919 Speaker 1: a lot of infections. But it wasn't really feasible to 430 00:26:30,960 --> 00:26:33,280 Speaker 1: do it. So in some respects we could have done 431 00:26:33,359 --> 00:26:36,600 Speaker 1: better by doing that, but in some respects it likely 432 00:26:36,640 --> 00:26:39,840 Speaker 1: would not have been feasible. So I mean, as as 433 00:26:39,880 --> 00:26:42,520 Speaker 1: a health official being involved in this, you know, I'm 434 00:26:42,600 --> 00:26:44,520 Speaker 1: humble enough to say we could have done a lot 435 00:26:44,880 --> 00:26:47,520 Speaker 1: of things better, but it's just the way it is. 436 00:26:47,560 --> 00:26:50,080 Speaker 1: We need to look ahead and maybe not closing down 437 00:26:50,080 --> 00:26:52,800 Speaker 1: the country, Dr Fauci. And and you know early on 438 00:26:52,840 --> 00:26:56,359 Speaker 1: when there was one case, but certainly you know in March, 439 00:26:56,640 --> 00:27:00,960 Speaker 1: when the case cases were climbing traumatically and the month 440 00:27:00,960 --> 00:27:03,919 Speaker 1: of February, perhaps more could have been done as you 441 00:27:04,000 --> 00:27:06,840 Speaker 1: watched it, Yeah, I mean that must have been really, 442 00:27:07,800 --> 00:27:11,119 Speaker 1: really worrisome for you as a public health expert. Of 443 00:27:11,160 --> 00:27:14,920 Speaker 1: course it was. I was pained. I was paining. I mean, also, 444 00:27:15,200 --> 00:27:17,200 Speaker 1: we could have done much better with testing, Katie. I 445 00:27:17,200 --> 00:27:21,640 Speaker 1: mean testing situation early on was not optimal. What happened there. 446 00:27:21,680 --> 00:27:25,800 Speaker 1: Did the CDC just come out with a lousy test initially? Well, 447 00:27:26,200 --> 00:27:28,679 Speaker 1: it was just one of those unfortunate glitches that was 448 00:27:28,800 --> 00:27:33,280 Speaker 1: technical that led to the having to recall a number 449 00:27:33,280 --> 00:27:35,400 Speaker 1: of cases and losing the heads thought that we would 450 00:27:35,400 --> 00:27:38,600 Speaker 1: have liked to have gotten. Well, I know that you've 451 00:27:38,640 --> 00:27:42,600 Speaker 1: said that humanity has quote entered a pandemic era with 452 00:27:42,640 --> 00:27:48,280 Speaker 1: the coronavirus outbreat likely just the first of accelerating epidemics 453 00:27:48,320 --> 00:27:50,880 Speaker 1: to come. Just so we can end on a positive note, 454 00:27:50,960 --> 00:27:55,480 Speaker 1: Dr Fauci, can you explain what is driving this new 455 00:27:55,640 --> 00:28:00,400 Speaker 1: era and what we might expect in the coming years. Well, 456 00:28:00,840 --> 00:28:02,919 Speaker 1: I'm pleased to see that you read my paper that 457 00:28:02,960 --> 00:28:07,719 Speaker 1: I wrote in cell Stollowly Cave. Very good. I do, 458 00:28:07,920 --> 00:28:11,120 Speaker 1: I knew do know a bit about medicine at this point. Dr, 459 00:28:11,440 --> 00:28:14,640 Speaker 1: I'm very very pleased to see that that's a that's 460 00:28:14,640 --> 00:28:17,159 Speaker 1: a scholarly paper. What what I What we said my 461 00:28:17,240 --> 00:28:19,760 Speaker 1: colleague David Morris and I Mourns and I in that 462 00:28:20,320 --> 00:28:24,280 Speaker 1: it really is a reflection of how we as the 463 00:28:24,359 --> 00:28:28,840 Speaker 1: human species interact with our environment. Because if you look 464 00:28:29,480 --> 00:28:35,720 Speaker 1: at the outbreaks of new infections, particularly new viruses, seventy 465 00:28:36,720 --> 00:28:40,800 Speaker 1: of them are zoonotic or infections that have jumped species 466 00:28:40,840 --> 00:28:44,760 Speaker 1: from an animal reservoir into humans, and the kinds of 467 00:28:44,840 --> 00:28:50,800 Speaker 1: things that perturb the animal human interface a major drivers 468 00:28:50,840 --> 00:28:55,240 Speaker 1: of outbreaks. You know, it was HIV from a chimpanzee 469 00:28:55,280 --> 00:28:59,720 Speaker 1: bush meat slaughtering them, getting it into the American population. 470 00:29:00,240 --> 00:29:04,080 Speaker 1: It was influenza where you have chickens and pigs and 471 00:29:04,200 --> 00:29:08,640 Speaker 1: people in the agricultural situation that you usually see in 472 00:29:08,760 --> 00:29:14,600 Speaker 1: the in the Far East, particularly now even with COVID, 473 00:29:14,720 --> 00:29:17,920 Speaker 1: not only COVID now that we're seeing, but the original 474 00:29:18,040 --> 00:29:21,920 Speaker 1: Stars in two thousand and two where the wet markets 475 00:29:21,960 --> 00:29:25,280 Speaker 1: where people bring in animals from the wild, put them 476 00:29:25,280 --> 00:29:28,959 Speaker 1: in a market and people come in shop, usually for 477 00:29:29,160 --> 00:29:35,320 Speaker 1: festive meals during festivals. Things like civic cats and bats 478 00:29:35,360 --> 00:29:39,280 Speaker 1: and other animals that have these viruses. You're almost asking 479 00:29:39,840 --> 00:29:42,400 Speaker 1: for trouble when you do that. So what we said 480 00:29:42,440 --> 00:29:45,600 Speaker 1: in the paper, we really need to rethink how we 481 00:29:45,720 --> 00:29:49,800 Speaker 1: interact with the environment and how we interact with the 482 00:29:49,840 --> 00:29:52,960 Speaker 1: animal species if we really want to avoid outbreaks in 483 00:29:52,960 --> 00:29:59,040 Speaker 1: the future. And and it seems that when it comes 484 00:29:59,040 --> 00:30:03,160 Speaker 1: to mitigating these pandemics, the Internet is not the friend 485 00:30:03,200 --> 00:30:07,360 Speaker 1: of of the public health official. There's been so much 486 00:30:07,440 --> 00:30:12,920 Speaker 1: misinformation coupled with polarization, it makes it very very difficult, 487 00:30:13,000 --> 00:30:17,960 Speaker 1: Dr Fauci to get information to the public, not only that, 488 00:30:18,040 --> 00:30:22,160 Speaker 1: but get them to believe that information. Yeah, it is true. 489 00:30:22,560 --> 00:30:26,960 Speaker 1: It's become particularly difficult and problematic when you're trying to 490 00:30:27,000 --> 00:30:30,840 Speaker 1: get a public health message across and you live right 491 00:30:30,880 --> 00:30:33,680 Speaker 1: now in a time in our great country in which 492 00:30:33,840 --> 00:30:37,720 Speaker 1: is very very divisive, and when you politicize and make 493 00:30:37,760 --> 00:30:41,320 Speaker 1: divisive things that should be pure public health, it really 494 00:30:41,360 --> 00:30:43,800 Speaker 1: makes it that much more difficult. Did you ever think 495 00:30:43,800 --> 00:30:47,440 Speaker 1: about having your own daily briefings that would be completely 496 00:30:47,480 --> 00:30:50,840 Speaker 1: devoid of politics, Dr Fauci, Yeah, that would be nice, 497 00:30:50,840 --> 00:30:55,000 Speaker 1: wouldn't it. Would you not be allowed to do that? 498 00:30:56,040 --> 00:30:58,920 Speaker 1: I don't have total control over those things. I don't. 499 00:30:59,200 --> 00:31:01,320 Speaker 1: I guess if you need to keep your job, you 500 00:31:01,320 --> 00:31:03,960 Speaker 1: wouldn't be able to do that. Yeah. Well, I don't 501 00:31:03,960 --> 00:31:05,520 Speaker 1: think anybody is trying to get rid of me. But 502 00:31:05,520 --> 00:31:07,240 Speaker 1: but what we're trying to do right now, which is 503 00:31:07,280 --> 00:31:10,840 Speaker 1: the reason why I enthusiastically said yes to your request 504 00:31:10,920 --> 00:31:13,280 Speaker 1: to talk to you, because they think things like our 505 00:31:13,320 --> 00:31:16,200 Speaker 1: discussion that we just have now go a long way 506 00:31:16,240 --> 00:31:20,440 Speaker 1: to really clarifying the real true public health message. Well, 507 00:31:20,480 --> 00:31:23,680 Speaker 1: I really really appreciate your time, Dr Fauci, and again 508 00:31:23,880 --> 00:31:26,680 Speaker 1: on behalf of all my followers, thank you very very 509 00:31:26,760 --> 00:31:29,320 Speaker 1: much for your service, and thank you for all you do. 510 00:31:29,440 --> 00:31:31,280 Speaker 1: To Katie, it's a pleasure and a privilege to be 511 00:31:31,320 --> 00:31:37,080 Speaker 1: with you. Thank you for having me, Thanks for listening 512 00:31:37,120 --> 00:31:39,920 Speaker 1: to the special edition of the Next Question, and I'm 513 00:31:40,040 --> 00:31:43,680 Speaker 1: very excited in the upcoming weeks we'll be doing a 514 00:31:43,720 --> 00:31:49,040 Speaker 1: special podcast series called Turnout focused on voting, why it's 515 00:31:49,080 --> 00:31:52,440 Speaker 1: important to get out the vote, who isn't voting, and 516 00:31:52,720 --> 00:31:55,720 Speaker 1: the systemic structures that have been in place that have 517 00:31:55,920 --> 00:32:00,160 Speaker 1: suppressed so many American citizens. So stay tuned for that. 518 00:32:00,560 --> 00:32:03,120 Speaker 1: In the meantime, thanks so much for listening. I'm Katie 519 00:32:03,160 --> 00:32:15,600 Speaker 1: Curik and I'll talk to you next time. Next Question 520 00:32:15,600 --> 00:32:17,960 Speaker 1: with Katie Couric is a production of I Heart Radio 521 00:32:18,040 --> 00:32:21,440 Speaker 1: and Katie Kurik Media. The executive producers are Katie Curic, 522 00:32:21,560 --> 00:32:25,560 Speaker 1: Courtney Litz, and Tyler Klang. The supervising producer is Lauren Hansen. 523 00:32:26,200 --> 00:32:30,400 Speaker 1: Our show producer is Bethan Macaluso. The associate producers are 524 00:32:30,400 --> 00:32:34,760 Speaker 1: Emily Pinto and Derek Clements. Editing by Derrek Clements, Dylan 525 00:32:34,800 --> 00:32:39,880 Speaker 1: Fagan and Lowell Berlante, mixing by Dylan Fagan. Our researcher 526 00:32:40,000 --> 00:32:43,960 Speaker 1: is Gabriel Loser. For more information on today's episode, go 527 00:32:44,040 --> 00:32:46,720 Speaker 1: to Katie curik dot com and follow us on Twitter 528 00:32:46,800 --> 00:32:53,400 Speaker 1: and Instagram at Katie Kurik. For more podcasts for my 529 00:32:53,440 --> 00:32:56,480 Speaker 1: heart Radio, visit the I Heart Radio app, Apple podcast, 530 00:32:56,560 --> 00:32:58,600 Speaker 1: or wherever you listen to your favorite shows,