Category Archives: pandemic

The engagement with SARS-CoV-2: Where we stand in the United States, in curated numbers

From the COVID Tracking Project at The Atlantic Monthly, a 23rd December 2020 report: California is out of control. As I’ve noted elsewhere and the COVID Tracking Project reminds, sourcing cases, deaths, positive test rate, and hospitalization data is tricky. … Continue reading

Posted in actuarial statistics, American Statistical Association, coronavirus, COVID-19, pandemic, Rebekah Jones, risk, SARS-CoV-2 | Leave a comment

a song in praise of data scientist Rebekah Jones

I linked to Rebekah Jones‘ keynote address at the August 2020 Data Science Conference on COVID-19 sponsored by the National Institute for Statistical Science. Below is a song in tribute to her, wishing her well. (h/t Bill McKibben) We’re doing … Continue reading

Posted in American Association for the Advancement of Science, American Mathematical Society, American Statistical Association, Boston Ethical Society, children as political casualties, Data for Good, data science, geographic, geographic information systems, International Society for Bayesian Statistics, journalism, mathematics, New England Statistical Society, pandemic, Rebekah Jones, Risky Talk, science, Significance, statistical ecology, statistics, the problem of evil, whistleblowing, ``The tide is risin'/And so are we'' | Leave a comment

dead bodies vs economic integrity

From The Financial Times.

Posted in pandemic, population biology, population dynamics, SARS-CoV-2 | Leave a comment

Für alle ohne maske

h/t Professor Christian Robert.

Posted in COVID-19, pandemic, SARS-CoV-2 | Tagged , , , , , , , , | Leave a comment

“Babbage: Pandemic’s progress”

From at The Economist, a podcast episode: Pandemic’s progress Sep 23 2020 28 mins As the global covid-19 death toll nears 1 million, The Economist’s healthcare correspondent and health policy editor explain what scientists are still investigating about the virus, … Continue reading

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Has maintaining economic growth been worth it?

From Our World in Data article “No sign of a health-economy trade-off, quite the opposite“. Have the countries experiencing the largest economic decline performed better in protecting the nation’s health, as we would expect if there was a trade-off? The … Continue reading

Posted in coronavirus, COVID-19, economics, epidemiology, pandemic, policy metrics, politics, SARS-CoV-2 | Tagged , , , , | Leave a comment

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 | 2 Comments

“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

Posted in COVID-19, differential equations, diffusion, diffusion processes, epidemiology, Lotka-Volterra systems, meteorology, pandemic, population biology, population dynamics, Radford Neal, SARS-CoV-2, statistics | Leave a comment

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

Posted in coronavirus, COVID-19, functional data analysis, pandemic, penalized spline regression, phase plane plot, SARS-CoV-2, splines | 14 Comments

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 | Leave a comment