Professor Emeritus of Computer Science Richard Salter is one of the developers of a new web application, described in this publication and indexed in Web of Science and the Directory of Open Access Journals (DOAJ)
Getz, Wayne M.; Salter, Richard; Luisa Vissat, Ludovica; Horvitz, Nir. 2021. A versatile web app for identifying the drivers of COVID-19 epidemics. Journal of Translational Medicine 19 (1): article number 109. DOI: 10.1186/s12967-021-02736-2
From the abstract: "Our web app provides policy makers and health officers who have no epidemiological modelling or computer coding expertise with an invaluable tool for assessing the impacts of different outbreak mitigation policies and measures. This includes an ability to generate an epidemic-suppression or curve-flattening index that measures the intensity with which behavioural responses suppress or flatten the epidemic curve in the region under consideration."
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