Distributed Solar: The Democratizaton of Energy
Category Archives: pandemic
COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
Posted in coronavirus, count data regression, COVID-19, descriptive statistics, epidemiology, pandemic, policy metrics, politics, population biology, population dynamics, quantitative biology, quantitative ecology, sampling, SARS-CoV-2, statistical ecology, statistical series, statistics
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“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)
Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading
Phase plane plots of COVID-19 deaths
There are many ways of presenting analytical summaries of new series data for which the underlying mechanisms are incompletely understood. With respect to series describing the COVID-19 pandemic, Tamino has used piecewise linear models. I have mentioned how I prefered … Continue reading
New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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