COVID-19 Government Response Event Dataset (CoronaNet v.1.0).
Journal
Nature human behaviour
ISSN: 2397-3374
Titre abrégé: Nat Hum Behav
Pays: England
ID NLM: 101697750
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
24
04
2020
accepted:
04
06
2020
pubmed:
25
6
2020
medline:
31
7
2020
entrez:
25
6
2020
Statut:
ppublish
Résumé
Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19.
Identifiants
pubmed: 32576982
doi: 10.1038/s41562-020-0909-7
pii: 10.1038/s41562-020-0909-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
756-768Références
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