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Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City

INTRODUCTION: In response to the coronavirus disease 2019 (COVID-19) pandemic, New York City closed all nonessential businesses and restricted the out-of-home activities of residents as of March 22, 2020. This order affected different neighborhoods differently, as stores and workplaces are not rando...

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Autor principal: Borjas, George J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553229/
https://www.ncbi.nlm.nih.gov/pubmed/32945766
http://dx.doi.org/10.5888/pcd17.200264
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author Borjas, George J.
author_facet Borjas, George J.
author_sort Borjas, George J.
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description INTRODUCTION: In response to the coronavirus disease 2019 (COVID-19) pandemic, New York City closed all nonessential businesses and restricted the out-of-home activities of residents as of March 22, 2020. This order affected different neighborhoods differently, as stores and workplaces are not randomly distributed across the city, and different populations may have responded differently to the out-of-home restrictions. This study examines how the business closures and activity restrictions affected COVID-19 testing results. An evaluation of whether such actions slowed the spread of the pandemic is a crucial step in designing effective public health policies. METHODS: Daily data on the fraction of COVID-19 tests yielding a positive result at the zip code level were analyzed in relation to the number of visits to local businesses (based on smartphone location) and the number of smartphones that stayed fixed at their home location. The regression model also included vectors of fixed effects for the day of the week, the calendar date, and the zip code of residence. RESULTS: A large number of visits to local businesses increased the positivity rate of COVID-19 tests, while a large number of smartphones that stayed at home decreased it. A doubling in the relative number of visits increases the positivity rate by about 12.4 percentage points (95% CI, 5.3 to 19.6). A doubling in the relative number of stay-at-home devices lowered it by 2.0 percentage points (95% CI, −2.9 to −1.2). The business closures and out-of-home activity restrictions decreased the positivity rate, accounting for approximately 25% of the decline observed in April and May 2020. CONCLUSION: Policy measures decreased the likelihood of positive results in COVID-19 tests. These specific policy tools may be successfully used when comparable health crises arise in the future.
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spelling pubmed-75532292020-10-20 Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City Borjas, George J. Prev Chronic Dis Original Research INTRODUCTION: In response to the coronavirus disease 2019 (COVID-19) pandemic, New York City closed all nonessential businesses and restricted the out-of-home activities of residents as of March 22, 2020. This order affected different neighborhoods differently, as stores and workplaces are not randomly distributed across the city, and different populations may have responded differently to the out-of-home restrictions. This study examines how the business closures and activity restrictions affected COVID-19 testing results. An evaluation of whether such actions slowed the spread of the pandemic is a crucial step in designing effective public health policies. METHODS: Daily data on the fraction of COVID-19 tests yielding a positive result at the zip code level were analyzed in relation to the number of visits to local businesses (based on smartphone location) and the number of smartphones that stayed fixed at their home location. The regression model also included vectors of fixed effects for the day of the week, the calendar date, and the zip code of residence. RESULTS: A large number of visits to local businesses increased the positivity rate of COVID-19 tests, while a large number of smartphones that stayed at home decreased it. A doubling in the relative number of visits increases the positivity rate by about 12.4 percentage points (95% CI, 5.3 to 19.6). A doubling in the relative number of stay-at-home devices lowered it by 2.0 percentage points (95% CI, −2.9 to −1.2). The business closures and out-of-home activity restrictions decreased the positivity rate, accounting for approximately 25% of the decline observed in April and May 2020. CONCLUSION: Policy measures decreased the likelihood of positive results in COVID-19 tests. These specific policy tools may be successfully used when comparable health crises arise in the future. Centers for Disease Control and Prevention 2020-09-17 /pmc/articles/PMC7553229/ /pubmed/32945766 http://dx.doi.org/10.5888/pcd17.200264 Text en https://creativecommons.org/licenses/by/4.0/Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Borjas, George J.
Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title_full Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title_fullStr Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title_full_unstemmed Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title_short Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City
title_sort business closures, stay-at-home restrictions, and covid-19 testing outcomes in new york city
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553229/
https://www.ncbi.nlm.nih.gov/pubmed/32945766
http://dx.doi.org/10.5888/pcd17.200264
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