The hidden patterns behind the Covid-19 map of Dublin
Excellent article analyzing COVID-19 patterns here:
The four new classes defined by Robert Reich might also apply to Ireland. The results of the analysis of Dublin infection cases from the HSE map which show the so-called Remotes are definitely present in the Irish society as the economic wealth is clearly related to chances of being infected. Recently published information shows that 1030 of Covid-19 deaths had happened inside of the nursing homes and other facilities caring for older. This represents 63% of total deaths from Covid-19 in Ireland and suggests that the so-called Forgotten class has suffered the most from the mismanaged public health policy which disregarded their specific life situation. The exact structure and divisions between the new classes of the Irish society in the new Covid-19 world can only be known with the extensive research and dissemination of data related to Covid-19 infections and deaths. It is crucial to abandon the current practices of omitting the data. We must apply the principles developed by John Snow in the 19th century which aim to collect and disseminate as much data as possible. This is the only way we will be able to develop the public health policy which will defeat the virus without scarifying the wellbeing of those who lack the privilege of having high economic and social status.
Interpreting Covid-19 Test Results: A Bayesian Approach
This is very clever — it hadn’t occurred to me at all, but of course it makes sense. tl;dr: prevalence, the prevailing rate of infection in the community, is a key factor in Covid-19 testing.
a brief tutorial on Covid-19 testing, with an emphasis on a Bayesian approach. After presenting the basics, we’ll walk through four confusing Covid-19 testing scenarios, just to give you a feel for the kinds of pickles we often find ourselves in.
(tags: prevalence covid-19 bayes bayesian statistics testing)