A LONGITUDINAL DATASET OF INCIDENCE AND INTERVENTION POLICY IMPACTS REGARDING THE COVID-19 PANDEMIC IN CANADIAN PROVINCES

A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces

A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces

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One year after identifying the first case of the 2019 coronavirus disease (COVID-19) in copyright, federal and provincial governments are still struggling to manage the pandemic.Provincial governments across copyright have fire resistant tablecloth experimented with widely varying policies in order to limit the burden of COVID-19.However, to date, the effectiveness of these policies has been difficult to ascertain.This is partly due to the lack of a publicly available, high-quality dataset on COVID-19 interventions and outcomes for copyright.

The present paper provides a dataset containing important, Canadian-specific data model opla that is known to affect COVID-19 outcomes, including sociodemographic, climatic, mobility and health system related information for all 10 Canadian provinces and their health regions.This dataset also includes longitudinal data on the daily number of COVID-19 cases, deaths, and the constantly changing intervention policies that have been implemented by each province in an attempt to control the pandemic.

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