Metadata record for Science Skepticism Reduces Compliance with COVID-19 Shelter-in-Place Policies
144861
Inter-university Consortium for Political and Social Research
ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License.
V1
Science Skepticism Reduces Compliance with COVID-19 Shelter-in-Place Policies
144861
http://doi.org/10.3886/E144861V1
Austin L. Wright
Valentin Kecht
Adam Brzezinski
David Van Dijcke
Please see full citation.
This work is licensed under a MIT License.
Ann Arbor, MI: Inter-university Consortium for Political and Social Research
Wright, Austin L., Kecht, Valentin , Brzezinski, Adam, and Van Dijcke, David. Science Skepticism Reduces Compliance with COVID-19 Shelter-in-Place Policies. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-07-12. https://doi.org/10.3886/E144861V1
economics
political economy
political science
social sciences
science
Physical distancing reduces transmission risks and slows the spread of COVID-19. Yet compliance with shelter-in-place policies issued by local and regional governments in the United States is uneven and may be influenced by science skepticism and attitudes towards topics of scientific consensus. Using county-day measures of physical distancing derived from cellphone location data, we demonstrate that the proportion of people who stay at home after shelter-in-placeĀ policies go into effect is significantly lower in counties with a high concentration of science skeptics. These results are robust to controlling for other potential drivers of differential physical distancing, such as political partisanship, income, education and COVID severity. Our findings suggest public health interventions that take local attitudes toward science into account in their messaging may be more effective.
United States of America
United States county
United States county
Mobile devices of individuals across the United States
as collected by Safegraph https://www.safegraph.com/
a data company that aggregates anonymized location data from numerous
aggregate data
census/enumeration data
geographic information system (GIS) data
program source code
survey data
SafeGraph (https://safegraph.com), various government sources, additional open data.
County population.