COVID-19 and R Blog Series

Tim Churches

A series of blog posts starting on 18th February 2020 demonstrating the use of R to obtain, analyse and visualise COVID-19 data, including scraping of detailed data from wikipedia, the calculation of the time-variant effective reproduction number \(R_{t}\), which has subquentially become widely adopted as a measure of COVID-19 intervention success, and the creation of both dynamic and stochastic individual contact models to simulate COVID-19 spread and investigate the likely effects of various public health interventions in a population.

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