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ABSTRACT: Background
Globally, nonpharmaceutical interventions for COVID-19, including stay-at-home policies, limitations on gatherings and closure of public spaces, are being lifted. We explored the effect of lifting a stay-at-home policy on virus resurgence under different conditions.Methods
Using confirmed case data from Toronto, Canada, between Feb. 24 and June 24, 2020, we ran a compartmental model with household structure to simulate the impact of the stay-at-home policy considering different levels of compliance. We estimated threshold values for the maximum number of contacts, probability of transmission and testing rates required for the safe reopening of the community.Results
After the implementation of the stay-at-home policy, the contact rate outside the household
SUBMITTER: Yuan P
PROVIDER: S-EPMC9022937 | biostudies-literature | 2022 Apr-Jun
REPOSITORIES: biostudies-literature