FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Partisan Divide on Stay-at-Home Orders Hindered U.S. COVID-19 Mitigation
Insights from the Field
Stay-at-home order
Synthetic control method
Democratic governor
Republican governor
Flattening the curve
Public Policy
SPPQ
Dataverse
The Politics of Pandemics: the Effect of Stay-At-Home Orders on COVID-19 Mitigation was authored by Shawn Patterson. It was published by Sage in SPPQ in 2022.

The COVID-19 pandemic reshaped American life, with state governments deploying policies like stay-at-home orders (SHOs) to combat the crisis.

Governor Party Differences in Adopting SHOs

Democratic governors implemented SHOs faster and more frequently than Republican counterparts.

Impact of Synthetic Control Method on Social Distancing

Using a synthetic control approach, this study demonstrates that SHOs significantly increased social distancing among residents. By comparing states with interventions to constructed control groups without them, the analysis confirms these orders directly influenced compliance.

Flattening the Curve Through Greater Compliance

Greater adherence to SHO recommendations successfully slowed the spread of COVID-19 cases through flattening the curve.

This research reveals how partisan politics constrained state-level pandemic responses and underscores long-term implications for public health governance.

data
Find on Google Scholar
Find on JSTOR
Find on Sage Journals
State Politics & Policy Quarterly
Podcast host Ryan
Dataverse may be empty.