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COVID-19 spread and inter-county travel: Daily evidence from the U.S.()

Daily data at the U.S. county level suggest that coronavirus disease 2019 (COVID-19) cases and deaths are lower in counties where a higher share of people have stayed in the same county (or travelled less to other counties). This observation is tested formally by using a difference-in-difference des...

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Autor principal: Yilmazkuday, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580684/
https://www.ncbi.nlm.nih.gov/pubmed/34173479
http://dx.doi.org/10.1016/j.trip.2020.100244
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author Yilmazkuday, Hakan
author_facet Yilmazkuday, Hakan
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description Daily data at the U.S. county level suggest that coronavirus disease 2019 (COVID-19) cases and deaths are lower in counties where a higher share of people have stayed in the same county (or travelled less to other counties). This observation is tested formally by using a difference-in-difference design controlling for county-fixed effects and time-fixed effects, where weekly changes in COVID-19 cases or deaths are regressed on weekly changes in the share of people who have stayed in the same county during the previous 14 days. A counterfactual analysis based on the formal estimation results suggests that staying in the same county has the potential of reducing total weekly COVID-19 cases and deaths in the U.S. as much as by 139,503 and by 23,445, respectively.
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spelling pubmed-75806842020-10-23 COVID-19 spread and inter-county travel: Daily evidence from the U.S.() Yilmazkuday, Hakan Transportation Research Interdisciplinary Perspectives Article Daily data at the U.S. county level suggest that coronavirus disease 2019 (COVID-19) cases and deaths are lower in counties where a higher share of people have stayed in the same county (or travelled less to other counties). This observation is tested formally by using a difference-in-difference design controlling for county-fixed effects and time-fixed effects, where weekly changes in COVID-19 cases or deaths are regressed on weekly changes in the share of people who have stayed in the same county during the previous 14 days. A counterfactual analysis based on the formal estimation results suggests that staying in the same county has the potential of reducing total weekly COVID-19 cases and deaths in the U.S. as much as by 139,503 and by 23,445, respectively. The Author(s). Published by Elsevier Ltd. 2020-11 2020-10-22 /pmc/articles/PMC7580684/ /pubmed/34173479 http://dx.doi.org/10.1016/j.trip.2020.100244 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yilmazkuday, Hakan
COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title_full COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title_fullStr COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title_full_unstemmed COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title_short COVID-19 spread and inter-county travel: Daily evidence from the U.S.()
title_sort covid-19 spread and inter-county travel: daily evidence from the u.s.()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580684/
https://www.ncbi.nlm.nih.gov/pubmed/34173479
http://dx.doi.org/10.1016/j.trip.2020.100244
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