Long time frames to detect the impact of changing COVID-19 measures, Canada, March to July 2020.

ABSTRACT: BackgroundMany countries have implemented population-wide interventions to control COVID-19, with varying extent and success. Many jurisdictions have moved to relax measures, while others have intensified efforts to reduce transmission.AimWe aimed to determine the time frame between a population-level change in COVID-19 measures and its impact on the number of cases.MethodsWe examined how long it takes for there to be a substantial difference between the number of cases that occur following a change in COVID-19 physical distancing measures and those that would have occurred at baseline. We then examined how long it takes to observe this difference, given delays and noise in reported cases. We used a susceptible-exposed-infectious-removed (SEIR)-type model and publicly available data from B

SUBMITTER: Stockdale JE 

PROVIDER: S-EPMC8511756 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature