outbreakteachR is a package designed to assist in demonstration of analysis associated to “paper outbreak” teaching practical. It is a collection of functions designed to ease analaysis of the paper outbreak practical within R. This includes importing and cleaning data from an excel sheet, viewing the infection network, visualising the outbreak as an animation, and calculating the epidemiological parameters associated with the practical 1.
Íde Cremin, Oliver Watson, Alastair Heffernan, Natsuko Imai, Norin Ahmed, Sandra Bivegete, Teresia Kimani, Demetris Kyriacou, Preveina Mahadevan, Rima Mustafa, Panagiota Pagoni, Marisa Sophiea, Charlie Whittaker, Leo Beacroft, Steven Riley, Matthew C. Fisher, An infectious way to teach students about outbreaks, Epidemics, Available online 9 December 2017, ISSN 1755-4365, https://doi.org/10.1016/j.epidem.2017.12.002 ↩︎
OJ Watson
Associate Professor
I’m an Associate Professor at Imperial College London, supported by an Eric and Wendy Schmidt AI in Science Fellowship. I’m based within Imperial’s AI Initiative, I-X, and the MRC Centre for Global Infectious Disease Analysis.
I develop open, reproducible methods at the intersection of infectious disease modelling, mortality estimation, and AI for public health — supporting decision-making and improving data equity. Recent applications include malaria and COVID-19.
Previously, I was a Schmidt Science Fellow at the London School of Hygiene and Tropical Medicine, and held postdoctoral positions at Brown University and Imperial College London.