SPRC19: A Database of State Policy Responses to COVID-19 in the United States

被引:0
作者
Frederick J. Boehmke
Bruce A. Desmarais
Abbie Eastman
Isabelle Grassel
Jeffrey J. Harden
Samuel Harper
Liam Kaboli
Hyein Ko
Elisabeth Oster
Tracee M. Saunders
机构
[1] University of Iowa,
[2] Pennsylvania State University,undefined
[3] University of Notre Dame,undefined
来源
Scientific Data | / 10卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
SPRC19 is a new database that seeks to capture a wide range of state policy actions in response to COVID-19 in the United States. Since March 2020 we have monitored state governments’ and multi-state associations’ websites for executive orders, agency rules, new legislation, and court decisions. We categorize each policy action into one of 206 distinct policies, then document the branch of government, source document, announcement date, implementation date, and expiration date (if applicable). We also record whether the action represents the introduction of a new policy or the expansion or contraction of an existing policy. The current release of SPRC19, v3.0, captures over 13,000 distinct policy actions through April 2020, which constitutes thousands more actions than similar resources over the same time period.
引用
收藏
相关论文
共 20 条
  • [1] Zheng Q(2020)HIT-COVID, a global database tracking public health interventions to COVID-19 Scientific Data 7 756-768
  • [2] Desvars-Larrive A(2020)A structured open dataset of government interventions in response to COVID-19 Scientific Data 7 529-538
  • [3] Cheng C(2020)COVID-19 government response event dataset (CoronaNet v.1.0) Nature Human Behaviour 4 880-899
  • [4] Barceló J(2022)A database of US state policies to mitigate COVID-19 and its economic consequences BMC Public Health 22 392-406
  • [5] Hartnett AS(2021)A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker) Nature Human Behaviour 5 517-545
  • [6] Kubinec R(1969)The diffusion of innovations among the American states American Political Science Review 63 211-233
  • [7] Messerschmidt L(2015)Persistent policy pathways: Inferring diffusion networks in the american states American Political Science Review 109 1-23
  • [8] Skinner A(2020)SPID: A new database for inferring public policy innovativeness and diffusion networks Policy Studies Journal 48 undefined-undefined
  • [9] Hale T(2021)Pandemic politics: Timing state-level social distancing responses to COVID-19 Journal of Health Politics, Policy and Law 46 undefined-undefined
  • [10] Walker JL(2022)The politics of pandemics: The effect of stay-at-home orders on COVID-19 mitigation State Politics & Policy Quarterly 22 undefined-undefined