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Reopening businesses and risk of COVID-19 transmission

The true risk of a COVID-19 resurgence as states reopen businesses is unknown. In this paper, we used anonymized cell-phone data to quantify the potential risk of COVID-19 transmission in business establishments by building a Business Risk Index that measures transmission risk over time. The index w...

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Autores principales: O’Donoghue, Ashley, Dechen, Tenzin, Pavlova, Whitney, Boals, Michael, Moussa, Garba, Madan, Manvi, Thakkar, Aalok, DeFalco, Frank J., Stevens, Jennifer P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966767/
https://www.ncbi.nlm.nih.gov/pubmed/33727636
http://dx.doi.org/10.1038/s41746-021-00420-9
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author O’Donoghue, Ashley
Dechen, Tenzin
Pavlova, Whitney
Boals, Michael
Moussa, Garba
Madan, Manvi
Thakkar, Aalok
DeFalco, Frank J.
Stevens, Jennifer P.
author_facet O’Donoghue, Ashley
Dechen, Tenzin
Pavlova, Whitney
Boals, Michael
Moussa, Garba
Madan, Manvi
Thakkar, Aalok
DeFalco, Frank J.
Stevens, Jennifer P.
author_sort O’Donoghue, Ashley
collection PubMed
description The true risk of a COVID-19 resurgence as states reopen businesses is unknown. In this paper, we used anonymized cell-phone data to quantify the potential risk of COVID-19 transmission in business establishments by building a Business Risk Index that measures transmission risk over time. The index was built using two metrics, visits per square foot and the average duration of visits, to account for both density of visits and length of time visitors linger in the business. We analyzed trends in traffic patterns to 1,272,260 businesses across eight states from January 2020 to June 2020. We found that potentially risky traffic behaviors at businesses decreased by 30% by April. Since the end of April, the risk index has been increasing as states reopen. There are some notable differences in trends across states and industries. Finally, we showed that the time series of the average Business Risk Index is useful for forecasting future COVID-19 cases at the county-level (P < 0.001). We found that an increase in a county’s average Business Risk Index is associated with an increase in positive COVID-19 cases in 1 week (IRR: 1.16, 95% CI: (1.1–1.26)). Our risk index provides a way for policymakers and hospital decision-makers to monitor the potential risk of COVID-19 transmission from businesses based on the frequency and density of visits to businesses. This can serve as an important metric as states monitor and evaluate their reopening strategies.
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spelling pubmed-79667672021-04-01 Reopening businesses and risk of COVID-19 transmission O’Donoghue, Ashley Dechen, Tenzin Pavlova, Whitney Boals, Michael Moussa, Garba Madan, Manvi Thakkar, Aalok DeFalco, Frank J. Stevens, Jennifer P. NPJ Digit Med Article The true risk of a COVID-19 resurgence as states reopen businesses is unknown. In this paper, we used anonymized cell-phone data to quantify the potential risk of COVID-19 transmission in business establishments by building a Business Risk Index that measures transmission risk over time. The index was built using two metrics, visits per square foot and the average duration of visits, to account for both density of visits and length of time visitors linger in the business. We analyzed trends in traffic patterns to 1,272,260 businesses across eight states from January 2020 to June 2020. We found that potentially risky traffic behaviors at businesses decreased by 30% by April. Since the end of April, the risk index has been increasing as states reopen. There are some notable differences in trends across states and industries. Finally, we showed that the time series of the average Business Risk Index is useful for forecasting future COVID-19 cases at the county-level (P < 0.001). We found that an increase in a county’s average Business Risk Index is associated with an increase in positive COVID-19 cases in 1 week (IRR: 1.16, 95% CI: (1.1–1.26)). Our risk index provides a way for policymakers and hospital decision-makers to monitor the potential risk of COVID-19 transmission from businesses based on the frequency and density of visits to businesses. This can serve as an important metric as states monitor and evaluate their reopening strategies. Nature Publishing Group UK 2021-03-16 /pmc/articles/PMC7966767/ /pubmed/33727636 http://dx.doi.org/10.1038/s41746-021-00420-9 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
O’Donoghue, Ashley
Dechen, Tenzin
Pavlova, Whitney
Boals, Michael
Moussa, Garba
Madan, Manvi
Thakkar, Aalok
DeFalco, Frank J.
Stevens, Jennifer P.
Reopening businesses and risk of COVID-19 transmission
title Reopening businesses and risk of COVID-19 transmission
title_full Reopening businesses and risk of COVID-19 transmission
title_fullStr Reopening businesses and risk of COVID-19 transmission
title_full_unstemmed Reopening businesses and risk of COVID-19 transmission
title_short Reopening businesses and risk of COVID-19 transmission
title_sort reopening businesses and risk of covid-19 transmission
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966767/
https://www.ncbi.nlm.nih.gov/pubmed/33727636
http://dx.doi.org/10.1038/s41746-021-00420-9
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