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Oxford’s OpenABM-Covid19 mathematical model helps UK and other countries to control the coronavirus epidemic

A team of mathematical modellers and epidemiologists at Oxford University’s Nuffield Department of Medicine release the latest model of a population responding to the coronavirus epidemic. The model – OpenABM-Covid19 – provides public health decision-makers with the ability to review the potential progression and outcome of the coronavirus, including fluctuations in infected individuals, hospitalisations, intensive care unit (ICU) admissions and deaths, and assess the impact of test and trace programmes.

OpenABM-Covid19 supports public health services, including the UK’s NHS England and NHS Wales, to forecast the epidemic and decide on the best balance and scale of epidemic control interventions over the coming months. Modelled interventions include digital contact tracing (exposure notification system), testing, ongoing physical distancing, self-isolation, mask wearing and further localised or national lockdown measures.

The full story is available on the Big Data Institute website