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Visualization map of seasonal illness/fever from smart thermometers

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Re: Visualization map of seasonal illness/fever from smart thermometers

#21
post #11

Interesting that King County, WA doesn't appear as a hotspot on this map, whereas widespread news reporting strongly suggests otherwise.

A couple possibilities:

- There's a lot more testing in Washington state, so there aren't as many undocumented cases as, say, Florida.

- Sparse Kinsa device coverage in Washington, and since the infection rate is still low vs the population at large, the elevated rate of actual disease is within the wide variation in data due to the sparsity.

Re: Visualization map of seasonal illness/fever from smart thermometers

#22
post #10

Earlier quoted context omitted.

I believe that Florida is also one of the oldest states which might skew the numbers. Too many thermometers doesn’t seem to me like it would naturally skew the data in the way that it has. This info, paired with the recent infection of a US congressman from Florida, makes me suspect they may have a lot of unrealized cases.

What do you mean by oldest and how would it skew the numbers? Are you referring to the age distribution of the people living there?

1. Age distribution of people living there

2. It would skew the numbers (by conjecture) if a higher proportion of people were old because then a higher proportion of people acquiring the disease would have high fever.

Re: Visualization map of seasonal illness/fever from smart thermometers

#23
Super misleading data.

1) y is CDC ILI activity, % outpatient visits for flu-like symptom, not actual % population that are ill,

https://academic.oup.com/ofid/article/6/11/ofz455/5610164

2) how can you tell credibly from this data it’s just more healthy ppl taking temperature now vs a true decline in fever rate? Feel this is a marketing stunt or a poorly done study.

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