TY - JOUR
T1 - COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
AU - Cheng, Cindy
AU - Barceló, Joan
AU - Hartnett, Allison Spencer
AU - Kubinec, Robert
AU - Messerschmidt, Luca
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85088146077&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088146077&partnerID=8YFLogxK
U2 - 10.1038/s41562-020-0909-7
DO - 10.1038/s41562-020-0909-7
M3 - Article
C2 - 32576982
AN - SCOPUS:85088146077
SN - 2397-3374
VL - 4
SP - 756
EP - 768
JO - Nature human behaviour
JF - Nature human behaviour
IS - 7
ER -