The Internet is awash these days with sites that describe issues related to the COVID-19 Pandemic. These sites range from the general to the specific, from the ridiculous to the very technical, from the hysterical to the dismissive, AND ALL THE VARIATIONS IN BETWEEN.
This page is an attempt to allow the reader to get information of a fairly responsible and technical nature, ideally suited for later analysis. This, of necessity, seems to require either academic or (less usefully usually), governmental sites.
In this section of the website I will add some additional sources of information about COVID-19, but these are more of a 'philosophical', or 'scientific' nature. There is so much written about this pandemic - without all that much being known about it that it is worth checking some of these sites out.
I will include links of two types in this section of the page. The first will be scientific (medical) discussions related to COVID-19 and its diagnosis and management, and the second will be general discussions (particularly mathematical) in regard to ongoing modelling and so forth.
Medical sites are numerous in quantity and very variable in quality. One of the most interesting articles, however, comes from the 'OpenSafely' project, a joint project of Oxford University and the London School of Hygiene and Tropical Diseases. They have published a very interesting study, available at Factors Associated with COVID-19 related hospital death which, although not peer reviewed seems to be of exceptionally high quality. There is a dearth of publically available information in this area, and this study represents a real advance in that regard.
Mathematical sites are very prevalent as well, and there are several quite interesting ones that deal with the relationship between mathematical (usually statistical) topics and COVID-19. One such application is the use of Bayesian calculations to understand the values of positive and negative tests in the analysis of current trends and the prediction of the disease in the future. One such site can be found at this site describing a Bayesian view of test results
Another source of multiple articles about COVID-19 is to be found at theconversation.com. This is a web information site that I had not heard of (or visited) until very recently, and there seems to be quite a few useful, thoughtful, and generally accurate bits of commentary to be found on it. One of the many articles is a particularly interesting one that focuses on the value of random testing in COVID-19 to obtain accurate epidemiological information. Another site that seems to have a lot of interesting articles can be found at significance.com. In fact, I'd say overall that I find this site the most interesting to peruse.