Literature DB >> 33727636

Reopening businesses and risk of COVID-19 transmission.

Ashley O'Donoghue1, Tenzin Dechen2, Whitney Pavlova3, Michael Boals4, Garba Moussa5, Manvi Madan6, Aalok Thakkar7, Frank J DeFalco8, Jennifer P Stevens2,9.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33727636      PMCID: PMC7966767          DOI: 10.1038/s41746-021-00420-9

Source DB:  PubMed          Journal:  NPJ Digit Med        ISSN: 2398-6352


  2 in total

1.  Reopening Society and the Need for Real-Time Assessment of COVID-19 at the Community Level.

Authors:  Frederick J Angulo; Lyn Finelli; David L Swerdlow
Journal:  JAMA       Date:  2020-06-09       Impact factor: 56.272

2.  Secondary attack rate and superspreading events for SARS-CoV-2.

Authors:  Yang Liu; Rosalind M Eggo; Adam J Kucharski
Journal:  Lancet       Date:  2020-02-27       Impact factor: 79.321

  2 in total
  2 in total

1.  Spatial congruency or mismatch? Analyzing the COVID-19 potential infection risk and urban density as businesses reopen.

Authors:  Long Zhou; Sihong Li; Chaosu Li; Guoqiang Shen; Huajie Yang; Pengyu Zhu; Haoying Han; Bin Li
Journal:  Cities       Date:  2022-01-25

2.  The efficiency of COVID cases to COVID policies: a robust conditional approach.

Authors:  Richard Gearhart; Lyudmyla Sonchak-Ardan; Nyakundi Michieka
Journal:  Empir Econ       Date:  2022-04-09
  2 in total

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