Small Data, Big Time—A retrospect of the first weeks of COVID-19

Small Data, Big Time—A retrospect of the first weeks of COVID-19

To be read before The Royal Statistical Society at the Society's 2021 annual conference held in Manchester on Wednesday, September 8th, 2021, the President, Professor Sylvia Richardson, in the Chair.

Letter to the editor: Generation interval for COVID-19 based on symptom onset data

The purpose of this letter is to raise a few issues with the methodology of a recent paper by Ganyani et al. [1], which aimed to estimate the parameters of the generation interval of coronavirus disease (COVID-19)

COVID-19 (project page)

Project page for some work on the COVID-19 pandemic.

BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic

We developed a generative model for key epidemiological events in COVID-19 patients and derived explicit formulae to correct for selection bias. We find that several early analyses of the COVID-19 pandemic were severely biased due to sample …

Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases

We analyzed 46 2019-nCoV cases confirmed in Japan, Korea, Singapore, Taiwan, Hong Kong, and Macau who traveled from Wuhan before its lockdown. The known travel history allows us to narrow down when the cases were first infected. Our estimate of the …