2/ Our current testing system is broken.

Currently, we rely on temperature or nose, saliva, or blood tests to diagnose COVID-19.

The problem is… these tests don’t scale for a population 328 million of with many, many vectors of transmission.
3/ Testing is broken bc these tests:

a) aren’t low-cost enough for everybody to use all the time

b) aren’t conducted by everyone, everyday — only occasionally

c) require wait period after infection for accurate results — in the meantime you may be unknowingly spreading virus
4/ We think a scalable testing solution… is smartwatches.

Consumer wearables are:

a) accurate enough for research use ( https://bit.ly/WearablesGuidelines)

b) already widely deployed

c) can be used to establish individual baselines of health.
6/ and in retrospective studies, we actually showed that heart rate and skin temperature can be used to detect viral respiratory infections, including asymptomatic infections:

This is exactly what we wanted to establish with COVID-19.
7/ In our COVID-19 wearables study, we sampled nearly 5,300 participants

Of those 5,300, 32 became infected with COVID.

Of the 32 infected... 26 of them had alterations in their heart rate, number of daily steps or time asleep.
9/ Even more importantly, of the COVID cases we were able to diagnose via smartwatch…

...88% of them were detected before or at symptom onset, aka before you start feeling sick, and want to get a test
10/ In four cases, we were able to detect the virus at least NINE DAYS earlier than symptoms.
11/ Why is early detection so important?

Early detection means infected patients are not spreading the disease while they wait for a positive result from other tests.

Smartwatches are worn daily, which means this method is monitoring daily, not occasionally like other tests.
12/ Could smartwatch testing prevent COVID-19 spreading at scale?

Using retrospective smartwatch data, we show that 63% of the COVID-19 cases could have been detected before symptom onset in real time.
13/ How does smartwatch testing work?

We monitor 3 variables: heart rate, daily steps, and sleep

We then built an algorithm that compares your values over time against your PERSONAL baseline, not inaccurate population averages.
14/ The warning system in our algorithm is built around around a two-tier warning system (you don’t want the scary movie you watched on Netflix to register a false positive)

https://bit.ly/DesignforCovidWatchStudy
15/ The kicker: we are giving this algorithm away FOR FREE so everyone with a smartwatch will be able to use it.

We think this is THAT important of a tool in our collective fight against COVID.
16/ What’s next?

We need to expand our study past our original 5,300 individuals to improve our detection method and show that this works at scale.
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