Interesting that King County, WA doesn't appear as a hotspot on this map, whereas widespread news reporting strongly suggests otherwise.
Visualization map of seasonal illness/fever from smart thermometers
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Re: Visualization map of seasonal illness/fever from smart thermometers
#12How are they inferring sickness rates from smart thermometer data? I skimmed the article and their technical paper and got nothing. Presumably sick people stay home and they're correlating stay-home rates with sickness rates?
Re: Visualization map of seasonal illness/fever from smart thermometers
#13How are they inferring sickness rates from smart thermometer data? I skimmed the article and their technical paper and got nothing. Presumably sick people stay home and they're correlating stay-home rates with sickness rates?
FTA:
> The U.S. Health Weather Map is a visualization of seasonal illness linked to fever
I think the assumption they make is fever == sickness.
Re: Visualization map of seasonal illness/fever from smart thermometers
#14How are they inferring sickness rates from smart thermometer data? I skimmed the article and their technical paper and got nothing. Presumably sick people stay home and they're correlating stay-home rates with sickness rates?
FTA: > The U.S. Health Weather Map is a visualization of seasonal illness linked to fever I think the assumption they make is fever == sickness.
Ok I feel dumb but I was thinking this was a thermometer for a home, not a body.
Re: Visualization map of seasonal illness/fever from smart thermometers
#15Earlier quoted context omitted.
FTA: > The U.S. Health Weather Map is a visualization of seasonal illness linked to fever I think the assumption they make is fever == sickness.
Ok I feel dumb but I was thinking this was a thermometer for a home, not a body.
Ah , yeah, I see how the title could be understood that way.
Re: Visualization map of seasonal illness/fever from smart thermometers
#16Earlier quoted context omitted.
FTA: > The U.S. Health Weather Map is a visualization of seasonal illness linked to fever I think the assumption they make is fever == sickness.
Ok I feel dumb but I was thinking this was a thermometer for a home, not a body.
I had the same confusion. Thanks for taking one for the team.
Re: Visualization map of seasonal illness/fever from smart thermometers
#17Anyone have any recommendations for decent smart thermometers?
I have been taking my temperature regularly with a WiThings 'Thermo' smart thermometer and am pleased with it. I was able to purchase it using my FSA funds:
Re: Visualization map of seasonal illness/fever from smart thermometers
#18This shows some of the potential of health-related data-collection everywhere, and cross-referencing it with time and geography (among other dimensions). It is obviously already happening, but these types of overviews are largely kept behind closed doors as of yet. Releasing the data in such an easy digestible manner would democratize the knowledge and enable crowd-sourcing of solutions. The technical issues are solv…
As long as I don't have to take part, it could surely help. But I don't want to task my government to collect health data. Personally, I prefer to keep it between my doctor and myself without anyone knowing about it.
Because having the information out there are too many negative external factors. And health data is pretty hard to anonymize.
Re: Visualization map of seasonal illness/fever from smart thermometers
#19Or people are scared about illness, so they are using their thermometers more frequently and thus finding small fevers/incidents of increased body temperature that they wouldn't have checked in a normal year.
Re: Visualization map of seasonal illness/fever from smart thermometers
#20Earlier quoted context omitted.
Or there is sampling bias in Florida, maybe insufficient thermometers or some other error? It' seems bizarre to me that one state has way more problems, yet the numbers are not terribly high compared to Washington of CV19. Our governors incompetence is alarming in any case, though not unexpected.
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?