4 ms·

I totally believe that the coronavirus has been in California since December and peaked in February. I’m sure if we look back we can find evidence of people get

by vondur 7y ago

I totally believe that the coronavirus has been in California since December and peaked in February. I’m sure if we look back we can find evidence of people getting sick and recovering. Those who died were listed as death from pneumonia or something else.

CydeWeys 7y ago
If COVID-19 had been spreading uncontrolled in California for four months prior to containment measures being enacted, the number of deaths by now would be truly mind-boggling. It's simply not possible for this to have been the case, because it would have been obvious sheerly looking at the all-cause death rate in the state increasing by many times its normal value months ago. This didn't happen, ergo COVID-19 was not spreading uncontained in California for that long.
thaumaturgy 7y ago
The main snag with this model is hospitalizations. Even if we grant that there was no testing available, and that early deaths of covid19 would have been attributed to cardiac disease or pneumonia, and that there may have been some kind of less lethal early strain or some other voodoo, the hospitalization rate would still be expected to be constant, and it hasn't been. Health care workers have broadly been reporting pretty typical case loads up until early to mid March. For some corroborating data, there's a "smart thermometer" company [1] that uses the aggregated data from their thermometers to maintain health "weather" metrics for the US [2]. Right on their health weather page, you can see a chart showing typical rates for seasonal infections across the US, up until March 1st. And if you're concerned that New York is tilting the results, then you can even zoom in to the San Francisco area [3] and see the same behavior. Kinsa's CEO has published a writeup on medium [4] that compares a couple of different areas with different responses and timelines, and he says that the data he's seeing suggests that stay-at-home orders are making a big difference in infection rates. They have more stuff like this on their Twitter account [5]. I would think that if this were the same disease all the way back in December, the data would look very different. There'd be no explanation for the fall-off of fever rates all the way up to March 1, when it suddenly started climbing. [1]: https://www.kinsahealth.co/ https://www.kinsahealth.co/ [2]: https://healthweather.us/?mode=Atypical https://healthweather.us/?mode=Atypical [3]: https://healthweather.us/?regionId=06075&mode=Atypical https://healthweather.us/?regionId=06075&mode=Atypical [4]: https://medium.com/@inders/your-sacrifices-are-saving-lives-3c80d88cea39 https://medium.com/@inders/your-sacrifices-are-saving-lives-... [5]: https://twitter.com/kinsa https://twitter.com/kinsa

by vondur 7y ago

CydeWeys 7y ago

If COVID-19 had been spreading uncontrolled in California for four months prior to containment measures being enacted, the number of deaths by now would be truly mind-boggling. It's simply not possible for this to have been the case, because it would have been obvious sheerly looking at the all-cause death rate in the state increasing by many times its normal value months ago. This didn't happen, ergo COVID-19 was not spreading uncontained in California for that long.

thaumaturgy 7y ago

The main snag with this model is hospitalizations. Even if we grant that there was no testing available, and that early deaths of covid19 would have been attributed to cardiac disease or pneumonia, and that there may have been some kind of less lethal early strain or some other voodoo, the hospitalization rate would still be expected to be constant, and it hasn't been. Health care workers have broadly been reporting pretty typical case loads up until early to mid March. For some corroborating data, there's a "smart thermometer" company [1] that uses the aggregated data from their thermometers to maintain health "weather" metrics for the US [2]. Right on their health weather page, you can see a chart showing typical rates for seasonal infections across the US, up until March 1st. And if you're concerned that New York is tilting the results, then you can even zoom in to the San Francisco area [3] and see the same behavior. Kinsa's CEO has published a writeup on medium [4] that compares a couple of different areas with different responses and timelines, and he says that the data he's seeing suggests that stay-at-home orders are making a big difference in infection rates. They have more stuff like this on their Twitter account [5]. I would think that if this were the same disease all the way back in December, the data would look very different. There'd be no explanation for the fall-off of fever rates all the way up to March 1, when it suddenly started climbing. [1]: https://www.kinsahealth.co/ https://www.kinsahealth.co/ [2]: https://healthweather.us/?mode=Atypical https://healthweather.us/?mode=Atypical [3]: https://healthweather.us/?regionId=06075&mode=Atypical https://healthweather.us/?regionId=06075&mode=Atypical [4]: https://medium.com/@inders/your-sacrifices-are-saving-lives-3c80d88cea39 https://medium.com/@inders/your-sacrifices-are-saving-lives-... [5]: https://twitter.com/kinsa https://twitter.com/kinsa