Covid-19 data and graphsPosted By Rod Kaufman |
Interesting stats from a just-posted meta-analysis:Originally Posted by James BrownI have been wondering if our mitigation efforts have worked as well as hoped. Maybe the Covid 19 models were just wildly off base to start with, and all of the onerous mitigation was just nonsense? You guys know that I don't believe that, but something the Governor said yesterday got me thinking. He said that the flu was virtually stopped in it's tracks this year by the Covid 19 mitigation. Hmm.
The following graph is my attempt to demonstrate this. The weekly flu data from 2017-2018 and 2019-2020 is readily available from a very cool interface maintained by the CDC:
https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html
This data is for positive flu tests by week from clinical labs and public health facilities. As such, this data vastly underestimates the actual extent of the flu in a given year. Most folks don't get sick enough with the flu to go to a clinic or be tested. Hopefully this data is a reasonable proxy for the actual prevalence of influenza each season though.
2017-2018 was a bad year for the flu. 2019-2020 was shaping up to be just as bad. I have added a "Social Distancing Time-frame" window to the data that more or less correlates with national Covid 19 mitigation efforts. Based on the 2018 curve, I have guesstimated the trajectory of the 2019-2020 flu without the Covid 19 mitigation efforts of social distancing, masks, business closures and so on. The difference between my guesstimate and the actual 2020 flu data appears to show that the Covid 19 mitigation efforts have really kicked the flu's butt as a side-effect. I believe that this suggests that we'd be in a lot worse shape with respect to Covid 19 without the mitigation efforts.
Jim
https://www.ncbi.nlm.nih.gov/pubmed/32315817/