WEBVTT - Google Searches May Help Spot Coronavirus Hotspots Early

0:00:00.080 --> 0:00:03.320
<v Speaker 1>It's Monday, September one. I'm mo Kelly from the Daily

0:00:03.360 --> 0:00:07.720
<v Speaker 1>Dive podcast in Los Angeles, and this is reopening America.

0:00:09.280 --> 0:00:13.520
<v Speaker 1>One team from Massachusetts General Hospital considered whether Google searches

0:00:13.600 --> 0:00:16.160
<v Speaker 1>for g I issues might be a way to spot

0:00:16.239 --> 0:00:20.720
<v Speaker 1>COVID nineteen hot spots. Early Claire Maldarelli, Associate editor for

0:00:20.760 --> 0:00:24.480
<v Speaker 1>Popular Science, lays out how your computer key strokes may

0:00:24.520 --> 0:00:27.760
<v Speaker 1>serve as a stroke of genius in weathering the pandemic

0:00:27.840 --> 0:00:31.560
<v Speaker 1>in future months. Thank you for coming on today. Yeah,

0:00:31.600 --> 0:00:36.280
<v Speaker 1>thanks for having me. I'm excited. One team from Massachusetts

0:00:36.360 --> 0:00:40.920
<v Speaker 1>General Hospital has considered whether Google searches for gastro intestinal

0:00:40.960 --> 0:00:44.840
<v Speaker 1>issues might be a way to spot COVID nineteen hot spots. Early,

0:00:45.320 --> 0:00:49.600
<v Speaker 1>tell me about some of the methodology that they used. Yeah,

0:00:49.640 --> 0:00:53.840
<v Speaker 1>so basically they decided that, um, you know, there's so

0:00:53.880 --> 0:00:57.320
<v Speaker 1>many symptoms of COVID nineteen UM, and a lot of

0:00:57.360 --> 0:01:02.960
<v Speaker 1>them are respiratory symptoms, shortness of brass, fever UM. But

0:01:03.160 --> 0:01:06.800
<v Speaker 1>a few people and a narrow percentage, about ten percent

0:01:07.040 --> 0:01:11.840
<v Speaker 1>actually get um gastro and techno symptoms. So that's vomiting

0:01:12.200 --> 0:01:17.400
<v Speaker 1>or diarrhea or just overall abdominal teene. And they found

0:01:17.400 --> 0:01:21.160
<v Speaker 1>that those people tend because of you know, no one

0:01:21.240 --> 0:01:24.839
<v Speaker 1>likes to experience those symptoms. They tend to Google share symptoms.

0:01:24.840 --> 0:01:28.920
<v Speaker 1>And they considered whether a correlation between a searching for

0:01:29.800 --> 0:01:33.680
<v Speaker 1>these gastro and texto symptoms would then correlate with being

0:01:33.720 --> 0:01:38.640
<v Speaker 1>able to predict when a COVID nineteen hot spot would occur. So,

0:01:38.800 --> 0:01:41.399
<v Speaker 1>if there will be a spike in cases based on

0:01:41.600 --> 0:01:47.240
<v Speaker 1>people searching for these g I symptoms on Google, that's

0:01:47.240 --> 0:01:50.880
<v Speaker 1>fascinating because in this web MD world, I would say,

0:01:50.960 --> 0:01:54.040
<v Speaker 1>it would seem to me that we would be searching

0:01:54.080 --> 0:01:57.240
<v Speaker 1>for anything and everything all the time just because we're

0:01:57.640 --> 0:02:01.160
<v Speaker 1>I would say latent hypochondriac. If you will always worried

0:02:01.160 --> 0:02:04.640
<v Speaker 1>about any and all symptoms, How do they do this

0:02:04.720 --> 0:02:06.680
<v Speaker 1>to the best of your knowledge? How do they drill

0:02:06.760 --> 0:02:09.760
<v Speaker 1>down as far as the random searches from the very

0:02:09.800 --> 0:02:13.240
<v Speaker 1>specific searches about something that which is impacting someone. If

0:02:13.240 --> 0:02:17.200
<v Speaker 1>that makes sense, Yeah, definitely. So they use Google trends

0:02:17.240 --> 0:02:20.720
<v Speaker 1>and basically look to at and specifically narrowed down to

0:02:20.880 --> 0:02:25.200
<v Speaker 1>just gas or and testo symptoms, searching only or looking

0:02:25.240 --> 0:02:29.799
<v Speaker 1>for those symptoms only. Yes, I will also attest that

0:02:29.840 --> 0:02:32.120
<v Speaker 1>I am a frequent WebM be used or even have

0:02:32.200 --> 0:02:38.520
<v Speaker 1>the help before. Okay, so the symptoms have they been

0:02:38.560 --> 0:02:42.880
<v Speaker 1>consistent from hot spot to hot spot? In other words,

0:02:42.919 --> 0:02:45.760
<v Speaker 1>what they found maybe in China as far as people

0:02:45.760 --> 0:02:48.720
<v Speaker 1>what they may be googling, has that been shown to

0:02:48.800 --> 0:02:52.200
<v Speaker 1>be the same in nature or trending the same in

0:02:52.200 --> 0:02:54.440
<v Speaker 1>the way that what we saw maybe in New York

0:02:54.560 --> 0:02:58.320
<v Speaker 1>or other places. Yeah, it's a really good question, and

0:02:58.400 --> 0:03:00.360
<v Speaker 1>right now it's still a little bit hard to tell.

0:03:00.880 --> 0:03:03.320
<v Speaker 1>They found some protesting data in this study was actually

0:03:03.400 --> 0:03:06.400
<v Speaker 1>published back in July, and when we did our story,

0:03:06.480 --> 0:03:09.399
<v Speaker 1>we interviewed a couple more gas rontologists and what they

0:03:09.400 --> 0:03:13.400
<v Speaker 1>have said is that g I symptoms are definitely can

0:03:13.520 --> 0:03:18.680
<v Speaker 1>definitely be part of COVID nineteen UM, but it's usually

0:03:18.720 --> 0:03:22.720
<v Speaker 1>only a small percentage of those people. So about ten

0:03:22.800 --> 0:03:27.280
<v Speaker 1>people actually developed GI symptoms and then go on to

0:03:27.360 --> 0:03:30.480
<v Speaker 1>have COVID nineteen. But what they found was that it

0:03:30.560 --> 0:03:34.880
<v Speaker 1>can't be predictive because first people are always searching their

0:03:34.920 --> 0:03:38.000
<v Speaker 1>GI symptoms that seems like and then second all the

0:03:38.080 --> 0:03:41.880
<v Speaker 1>people in that ten groups, all the people that have

0:03:42.080 --> 0:03:45.880
<v Speaker 1>those GI symptoms then a little while later ended up

0:03:46.000 --> 0:03:49.880
<v Speaker 1>getting the other symptoms, the other more common symptoms of

0:03:50.160 --> 0:03:53.200
<v Speaker 1>COVID nineteen. So it's definitely seems to be the case

0:03:53.880 --> 0:03:58.960
<v Speaker 1>that these g I symptoms can predict COVID nineteen. But

0:03:59.080 --> 0:04:02.320
<v Speaker 1>it's just that not everybody is going to be getting

0:04:02.520 --> 0:04:06.320
<v Speaker 1>these GI symptoms. It's only about ten I want to

0:04:06.320 --> 0:04:09.280
<v Speaker 1>go people, and so the big question um is whether

0:04:09.400 --> 0:04:11.960
<v Speaker 1>or not we can use the small ten percent to

0:04:12.040 --> 0:04:15.840
<v Speaker 1>predict whether big spikes will happen. I want to go

0:04:15.880 --> 0:04:17.680
<v Speaker 1>back and get something you said. I want to make

0:04:17.680 --> 0:04:21.320
<v Speaker 1>sure I understood you correctly. Are you suggesting that maybe

0:04:21.360 --> 0:04:26.119
<v Speaker 1>these g I symptoms are usually leading the way as

0:04:26.640 --> 0:04:31.440
<v Speaker 1>COVID nineteen enters the body and the body shows symptoms,

0:04:31.480 --> 0:04:34.440
<v Speaker 1>these are usually the first symptoms that people would see

0:04:34.520 --> 0:04:38.280
<v Speaker 1>in some of these cases. Yeah, definitely. So again it's

0:04:38.320 --> 0:04:42.240
<v Speaker 1>only ten percent of people usually experience these GI symptoms,

0:04:42.240 --> 0:04:46.040
<v Speaker 1>but in that it's usually the g I symptoms first,

0:04:46.560 --> 0:04:51.320
<v Speaker 1>followed by later these more common symptoms such as fever,

0:04:51.560 --> 0:04:56.039
<v Speaker 1>shortness of breath, or lower respiratory symptoms that would seem

0:04:56.120 --> 0:04:58.880
<v Speaker 1>strange and I'm not a physician, I'm just playing one

0:04:58.920 --> 0:05:01.440
<v Speaker 1>on the radio, it seems right now. But in terms

0:05:01.520 --> 0:05:04.960
<v Speaker 1>of what we would classically think of a respiratory disease,

0:05:05.000 --> 0:05:09.039
<v Speaker 1>we were told about how the disease would enter through

0:05:09.160 --> 0:05:12.360
<v Speaker 1>our mouth or nose or our eyes, but the first

0:05:12.400 --> 0:05:14.680
<v Speaker 1>symptoms would have nothing to do with that. It would

0:05:14.720 --> 0:05:19.279
<v Speaker 1>be actually the other end of the body. Is that correct? Yeah,

0:05:19.400 --> 0:05:22.880
<v Speaker 1>it's actually interesting. I mean there's you know, COVID nineteen

0:05:23.040 --> 0:05:25.000
<v Speaker 1>is a new disease, so there's still so much we

0:05:25.080 --> 0:05:28.359
<v Speaker 1>don't know about it. But researchers have been able to

0:05:28.400 --> 0:05:31.400
<v Speaker 1>pinpoint what they think is a mechanism that makes this

0:05:31.640 --> 0:05:36.160
<v Speaker 1>occurrence makes sense. So there are these receptors called A receptors,

0:05:36.240 --> 0:05:39.240
<v Speaker 1>and they sit on various cells in the body, and

0:05:39.240 --> 0:05:42.279
<v Speaker 1>they happen to sit on UM cells in the lungs

0:05:42.320 --> 0:05:44.640
<v Speaker 1>and in the arteries, but then they also happened to

0:05:44.680 --> 0:05:48.480
<v Speaker 1>be in the gastro intestinal tracts, And so researchers think

0:05:48.600 --> 0:05:52.040
<v Speaker 1>that maybe it's UM the virus that is attaching to

0:05:52.760 --> 0:05:57.479
<v Speaker 1>these AC receptors in the lungs and the arteries and

0:05:57.560 --> 0:06:02.480
<v Speaker 1>other areas that are more common UM attacked in COVID nineteen.

0:06:02.760 --> 0:06:06.120
<v Speaker 1>But then they're also hitting the GI tracks first. But

0:06:06.440 --> 0:06:10.720
<v Speaker 1>also the question of whether of why it hits your

0:06:11.279 --> 0:06:16.239
<v Speaker 1>stomach or your whole GI system first before it hits UM,

0:06:16.279 --> 0:06:19.440
<v Speaker 1>your upper respiratory system or your lower respiratory system. Rather,

0:06:19.600 --> 0:06:23.040
<v Speaker 1>that's still very much unknown. I understand that this is

0:06:23.279 --> 0:06:25.440
<v Speaker 1>a for lack of a better phrase, a white paper

0:06:25.480 --> 0:06:28.360
<v Speaker 1>at this point. It is a study. But have there

0:06:28.520 --> 0:06:33.600
<v Speaker 1>been any practical applications as of yet with this information

0:06:34.000 --> 0:06:37.520
<v Speaker 1>to help people in real time? There haven't yet, and

0:06:37.560 --> 0:06:39.880
<v Speaker 1>that's a great question and great things to point out.

0:06:39.960 --> 0:06:46.200
<v Speaker 1>There haven't been any more more substantial UM studies or

0:06:46.279 --> 0:06:49.359
<v Speaker 1>you know, real time usage of this yet, but a

0:06:49.400 --> 0:06:52.880
<v Speaker 1>lot of researchers think that it could be a good

0:06:52.880 --> 0:06:57.840
<v Speaker 1>way to predict COVID nineteen hotspots and going forward, UM,

0:06:58.040 --> 0:07:01.800
<v Speaker 1>these researchers and potentially the one will be able to

0:07:01.880 --> 0:07:04.320
<v Speaker 1>keep tracking this data and see if they can actually

0:07:04.400 --> 0:07:08.520
<v Speaker 1>use it um as a predictor of where COVID nineteen

0:07:08.560 --> 0:07:14.240
<v Speaker 1>could not. Knowing necessarily how the flu progresses through the body,

0:07:14.240 --> 0:07:17.120
<v Speaker 1>whether it's similar or not in this way, is there

0:07:17.160 --> 0:07:19.800
<v Speaker 1>any overlap from what you know or what you can

0:07:19.840 --> 0:07:23.840
<v Speaker 1>see as far as how the symptoms materialize in the

0:07:23.880 --> 0:07:26.360
<v Speaker 1>body for the flu and will that in any way

0:07:26.480 --> 0:07:31.560
<v Speaker 1>impact this particular study. Yeah, that's a good question. Um.

0:07:31.880 --> 0:07:34.840
<v Speaker 1>The fluid definitely attacks the body in similar ways to

0:07:34.920 --> 0:07:37.760
<v Speaker 1>COVID nineteen, but also different ways as well, because there

0:07:37.800 --> 0:07:41.720
<v Speaker 1>are two different diseases than two different viruses that are

0:07:41.920 --> 0:07:44.600
<v Speaker 1>hitting our inne systems and the rest of our bodies.

0:07:44.640 --> 0:07:47.880
<v Speaker 1>So it's hard to tell right now because COVID is

0:07:47.880 --> 0:07:52.160
<v Speaker 1>so new, um, but it is an interesting question that

0:07:52.240 --> 0:07:55.040
<v Speaker 1>I think a lot of researchers will be investigating over

0:07:55.240 --> 0:08:00.120
<v Speaker 1>over the next year. She's Claire Maldarelli, Associate editor or

0:08:00.160 --> 0:08:04.440
<v Speaker 1>Popular Science. Claire, thank you again for coming on today. Thanks,

0:08:04.480 --> 0:08:08.920
<v Speaker 1>this was great. Thanks for having me. I'm O'Kelly and

0:08:09.000 --> 0:08:12.640
<v Speaker 1>this has been reopening America. Don't forget that. For the

0:08:12.760 --> 0:08:15.480
<v Speaker 1>day's big news stories, you can check out the Daily

0:08:15.520 --> 0:08:19.000
<v Speaker 1>Dive podcast every Monday through Friday. So follow us on

0:08:19.080 --> 0:08:22.160
<v Speaker 1>I Heart Radio or wherever you get your podcasts.