Back to Search Start Over

CAN-NPI: A Curated Open Dataset of Canadian Non-Pharmaceutical Interventions in Response to the Global COVID-19 Pandemic

Authors :
Benjamin Fine
Seung Eun Yi
Liam G. McCoy
Kavya Anchuri
Isha Berry
Sophie Hu
Joanna Pineda
Andrew T. Lam
Jonathan Smith
Vinyas Harish
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Non-pharmaceutical interventions (NPIs) have been the primary tool used by governments and organizations to mitigate the spread of the ongoing pandemic of COVID-19. Natural experiments are currently being conducted on the impact of these interventions, but most of these occur at the subnational level - data not available in early global datasets. We describe the rapid development of the first comprehensive, labelled dataset of 1640 NPIs implemented at federal, provincial/territorial and municipal levels in Canada to guide COVID-19 research. For each intervention, we provide: a) information on timing to aid in longitudinal evaluation, b) location to allow for robust spatial analyses, and c) classification based on intervention type and target population, including classification aligned with a previously developed measure of government response stringency. This initial dataset release (v1.0) spans January 1st, and March 31st, 2020; bi-weekly data updates to continue for the duration of the pandemic. This novel dataset enables robust, inter-jurisdictional comparisons of pandemic response, can serve as a model for other jurisdictions and can be linked with other information about case counts, transmission dynamics, health care utilization, mobility data and economic indicators to derive important insights regarding NPI impact.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8fe0d2732ff2aeb122bce6f6f1c7f54c
Full Text :
https://doi.org/10.1101/2020.04.17.20068460