TY - JOUR
T1 - Modeling state preferences for Covid-19 policies
T2 - Insights from the first pandemic summer
AU - Duren, Michelle
AU - Corrigan, Bryce
AU - Ehsani, Johnathon
AU - Michael, Jeffrey
N1 - Funding Information:
This research was supported in part by Johns Hopkins Institute for Health and Social Policy , a grant from the National Center for Injury Control and Prevention, Centers for Disease Control and Prevention to the Johns Hopkins Center for Injury Research and Policy (grant number 1R49CE003090 ), and by a grant from the U.S. Centers for Disease Control and Prevention , National Institute for Occupational Safety and Health to the Johns Hopkins Education and Research Center for Occupational Safety and Health (award number T42 OH0008428 ).
Publisher Copyright:
© 2021
PY - 2021/12
Y1 - 2021/12
N2 - Introduction: During the COVID-19 pandemic, governments have experimented with a wide array of policies to further public health goals. This research offers an application of multilevel regression with post-stratification (MRP) analysis to assess state-level support for commonly implemented policies during the pandemic. Methods: We conducted a national survey of U.S. adults using The Harris Poll panel from June 17–29, 2020. Respondents reported their support for a set of measures that were being considered in jurisdictions in the U.S. at the time the survey was fielded. MRP analysis was then used to generate estimates of state-level support. Results: The research presented here suggests generally high levels of support for mask mandates and social distancing measures in June 2020—support that was consistent throughout the United States. In comparison, support for other policies, such as changes to the road environment to create safer spaces for walking and bicycling, had generally low levels of support throughout the country. This research also provides some evidence that higher support for coronavirus-related policies could be found in more populous states with large urban centers, recognizing that there was low variability across states. Conclusion: This paper provides a unique application of MRP analysis in the public health field, uncovering noteworthy state-level patterns, and offering several avenues for future research. Future research could examine policy support at a small geographic level, such as by counties, to understand the distribution of support for public policies within states.
AB - Introduction: During the COVID-19 pandemic, governments have experimented with a wide array of policies to further public health goals. This research offers an application of multilevel regression with post-stratification (MRP) analysis to assess state-level support for commonly implemented policies during the pandemic. Methods: We conducted a national survey of U.S. adults using The Harris Poll panel from June 17–29, 2020. Respondents reported their support for a set of measures that were being considered in jurisdictions in the U.S. at the time the survey was fielded. MRP analysis was then used to generate estimates of state-level support. Results: The research presented here suggests generally high levels of support for mask mandates and social distancing measures in June 2020—support that was consistent throughout the United States. In comparison, support for other policies, such as changes to the road environment to create safer spaces for walking and bicycling, had generally low levels of support throughout the country. This research also provides some evidence that higher support for coronavirus-related policies could be found in more populous states with large urban centers, recognizing that there was low variability across states. Conclusion: This paper provides a unique application of MRP analysis in the public health field, uncovering noteworthy state-level patterns, and offering several avenues for future research. Future research could examine policy support at a small geographic level, such as by counties, to understand the distribution of support for public policies within states.
KW - COVID-19
KW - Public support
KW - Survey research
KW - Transport policies
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U2 - 10.1016/j.jth.2021.101284
DO - 10.1016/j.jth.2021.101284
M3 - Article
C2 - 34722155
AN - SCOPUS:85117795447
VL - 23
JO - Journal of Transport and Health
JF - Journal of Transport and Health
SN - 2214-1405
M1 - 101284
ER -