Article

Pandemic Lock-down, Isolation, and Exit Policies Based on Machine Learning Predictions

2020-05-12

Abstract excerpt

In early May 2020, following social distancing measures due to COVID-19, governments consider relaxing lock-downs. We study how that might be done by utilising clinical risk predictions. We extended a standard susceptible-exposed-infected-removed (SEIR) model to account for personalised predictions of severity, defined by the risk of an individual needing intensive care if infected, and simulated differential isol...

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Literature Corpus work: 5f49faec-ed6a-548a-8fd6-37bed3f6d58a
DOI: 10.2139/ssrn.3588401

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