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  • (funk music)

  • - So there's a new ritual that a lots of us share right now.

  • Checking our temperature to see if we have a fever.

  • And it's understandable.

  • Fever's are common symptoms of COVID-19.

  • But if you're hoping your temperature is a nice 98.6 degrees

  • or 37 Celsius.

  • You might learn something new about yourself.

  • - 97.25.

  • - 98.2.

  • - 97.1.

  • - Very low,

  • Am I OK?

  • It turns out 98.6 degrees fahrenheit isn't really the

  • ideal or normal body temperature.

  • There's really no such thing.

  • But temperature can still tell us a lot about our health.

  • And about the spread of COVID-19.

  • (temperature machines beeping)

  • The number 98.6 mostly came from 19th century German

  • researcher Carl Reinhold August Wunderlich.

  • He claims to catch the numbers of more than a million

  • in temperature readings to thousands of patients.

  • And he arrived at the number of 98.6.

  • That number has stuck around ever since.

  • But person to person

  • it's kinda meaningless.

  • We asked our co workers to take their own readings

  • and this is what normal temperature looks like for us.

  • - 95.83.

  • - 96.7 which seems low.

  • - I'm a cold,

  • cold man.

  • - Maybe [Inaudible]

  • I would have thought.

  • - It's fine.

  • I guess.

  • - Wunderlich himself knew that body temperature varied.

  • He recorded a healthy range from 97 and a quarter

  • to 99 and a half in his subjects.

  • Other studies have shown that temperature can differ

  • noticeably across age, gender, size and race.

  • And modern research points to a much lower number.

  • Around 98.

  • That squares with our very informal staff average.

  • We're around 97.5.

  • - You let her write the thermometers broken.

  • I don't know.

  • - What's more, you yourself don't have one body temperature

  • you have a range.

  • Our team all took their ratings at 10am.

  • But if you took yours a bunch over the course of a day,

  • you'll see it change.

  • Most people are coolest in the morning

  • and warmest in the early evening.

  • It's a reflection of your bodies natural rhythms,

  • your digestion, hormone production and cognition and more.

  • Here's what my temperature looks like

  • throughout the day.

  • - Other bodily cycles like ovulation can cause small

  • swings in temperature too and different parts of you

  • are different temperatures.

  • Under the tongue, armpit, forehead and rectal readings

  • are all likely to be unique.

  • Point is there are tons of variables.

  • We could be many temperatures all at once all the time

  • and still be perfectly healthy.

  • - But being sick is another story.

  • (theme sound)

  • So, I spoke with a couple of people who are connecting

  • some interesting dots

  • between temperature variation

  • and an illness like COVID-19.

  • When you get sick,

  • many of your bodies natural predictable rhythms

  • start to destabilize.

  • Your temperature might fluctuate more radically

  • and it might crank up above your natural range.

  • That's your body triggering a fever to make itself

  • less hospitable to viruses or bacteria.

  • In other words

  • your body temperature gets anomalous.

  • That's trouble for you,

  • but for people tracking COVID,

  • it's crucial data.

  • One effort is Kinsa.

  • A company that tracks the spread of infectious disease

  • using fevers.

  • Kinsa sells a smart thermometer that sends your

  • temperature back to the company every time you take it.

  • Kinsa says they have about a million thermometers

  • in circulation.

  • And with all that data,

  • they've built a real time health weather map.

  • It shows possible hot spots of COVID,

  • counties with more fever then flu season would explain.

  • - Let's take our real time signal

  • remove the expected value cold and flu.

  • What's left over is residual.

  • That residual is a typical, in this particular

  • analysis a typical fever clusters.

  • Things you would not expect.

  • What we found since that point is that

  • there's a very high correlation between our hot spots

  • and COVID-19 cases.

  • The work is not peer reviewed yet.

  • And some experts question how reliable it can be

  • with only a million thermometers.

  • Their user space could also be biased

  • by race or class or other factors.

  • But Kinsa still thinks it can tease out

  • some interesting trends,

  • like the effect of social distancing.

  • Here's their look at Miami-Dade County

  • in the middle of March.

  • In 9 days,

  • the percent of people with a fever

  • more than doubled.

  • And around the 17th and 18th,

  • they started implementing the closure bars.

  • So it starts going down.

  • - Other researchers are taking a different attack.

  • Looking for clues in body temperature that might

  • predict a fever before it starts.

  • - One study out of UCFS would collect temperature

  • and other health data from participants by using a

  • smart ring.

  • The rings can measure small changes in body temperature

  • every minute.

  • The question is, can tiny temperature rhythms

  • predict a brewing infections like COVID.

  • - And so we could pick up with great reliability

  • those ultranium rhythms, those within a day rhythms,

  • that there are frequency that tend to tell us about

  • how stagily your hormones passing along, how synchronized

  • are they inside of you.

  • - It's early days for the study

  • but once smart ring user

  • who tested positive for COVID has already shared

  • some interesting data.

  • - The temperature rhythms that I receive within the day

  • start to sort of destabilize and amplify

  • before they have a fever

  • right up to about 5 days beforehand.

  • The whole system would look like

  • it was sort of increasingly like a teeter totter

  • before they have a fever,

  • before they felt sick.

  • - Again that's just one patient.

  • But with enough data,

  • the team hopes to build an algorithm

  • that can sniff out COVID via rhythms like these.

  • - We will be publishing the findings

  • we will be putting out, you know,

  • competition or calls for [Inaudible]

  • get everybody in the room

  • let's get this as good as we could possibly get it.

  • This is really just

  • how big of a defense can we make.

  • How quickly to get this into service.

  • - In the coming months while we take our temperatures

  • every minute like maniacs

  • we're going to be hearing a lot more about the effort

  • to track and predict COVID-19.

  • Scientists will learn more about how the human body

  • regulates itself and respond to disease.

  • And along the way,

  • we might let go of some assumptions about what's normal

  • and healthy.

  • - Obsessing about 98.6 is really false precision right?

  • Everybody should have a nice daily rhythm of their

  • temperature.

  • The only time your temperature is constant is when your dead

  • and it's room temperature so

  • thinking about

  • the patterns of change rather than the absolute number

  • is much more important.

  • - Psst cat, go on.

  • Oh cat get outta there.

  • Cat [Inaudible]

(funk music)

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