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Less Wrong COVID-19 Projections With Interactive Assumptions
2020-06-08
public and global health
Title + abstract only
View on medRxiv
Show abstract
COVID-19 pandemic is an enigma with uncertainty caused by biological and health systems factors. Although many models have been developed all around the world, transparent models that allow interacting with the assumptions will become more important as we test various strategies for lockdown, testing and social interventions and enable effective policy decisions. In this paper we developed a suite of models to guide development of policies under different scenarios when the lockdown opens. These...
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