You may recall, I have been asking for a real-life random study where people who are wearing masks have their masks tested for pathogens. Here is the closest thing. The good folks at Rational Ground have posted on just a study among children and a few adults. As you would suspect the masks collect and harbor very nicely a large variety of pathogens, many of which cause serious disease. Not much CV-19 though. In fact almost no viruses, hmmm, maybe masks aren’t that good at stopping viruses. Naah, the experts would have told us if that were the case. (Rational Ground Study)
A study of children supposedly hospitalized with CV-19 in Germany finds a) very few children were hospitalized; b) about half weren’t admitted because of CV-19; c) only around 20% received any CV-19 treatment; and d) those who were more seriously ill had pre-existing illnesses and poor health status. (Medrxiv Study)
I think we all know how bad the modeling was during this epidemic. Absolutely pathetic and useless. This paper talks about some very basic failures to take into account relevant information from past epidemics, like seasonality. (Modeling Article) The authors discuss various past epidemics which could have served as guides for building CV-19 models, but appear to have been largely ignored.
Another paper on my old friend seasonality and meteorological factors in CV-19 spread. (Medrxiv Paper) These guys attempt to adjust for the effect of the infamous non-pharmaceutical interventions. They find strong evidence of seasonality, accounting for around 40% of association with spread. The study was conducted in Europe and treated all meteorological factors as a single variable tied into seasonality.
This article discusses the incidence of various infectious diseases during the epidemic, finding large drops in most states of not only respiratory infections, but infections via other routes as well. While the mitigation measures may have played some role, they note it is also likely that care avoidance and under-reporting was also a factor. (JID Study)