Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
Tutorials to learn real-time analysis that includes accessing epidemiological delays, estimating transmission metrics, forecasting, and severity from aggregated incidence data, superspreading from line list and contact data, and simulating transmission chains.
Code for "Pooled Testing of Traced Contacts Under Superspreading Dynamics", PLOS Computational Biology
Monte Carlo simulator for outbreak transmission risk that models real superspreading events (a 2020 choir rehearsal, military barracks, university dorms) using literature-cited epidemiological parameters, with uncertainty quantification, intervention modeling, and transmission-chain reconstruction.
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