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. 2021 Aug 10;16(8):e0255873.
doi: 10.1371/journal.pone.0255873. eCollection 2021.

Impact of physical distancing policy on reducing transmission of SARS-CoV-2 globally: Perspective from government's response and residents' compliance

Affiliations

Impact of physical distancing policy on reducing transmission of SARS-CoV-2 globally: Perspective from government's response and residents' compliance

Ping-Chen Chung et al. PLoS One. .

Abstract

Background: COVID-19 was declared a public health emergency by the World Health Organization (WHO) in January 2020. Various physical distancing interventions were introduced to flatten the epidemic curve and reduce the disease burden. We evaluated the impacts of policy stringency and residents' compliance on time-varying reproduction number in 17 countries.

Methods: Data were from WHO reports of local transmission (February 28 to April 8, 2020) in Australia, Canada, Finland, France, Germany, Greece, Italy, Spain, Sweden, Thailand, the UK, US and Vietnam. Earlier local transmission data where available from press releases were added for Japan, South Korea, Singapore and Taiwan starting January 28, 2020. COVID-19 policy responses were from the Oxford Covid-19 Government Response Tracker with 17 indicators. Changes in people's behaviors were from Google's COVID-19 community mobility reports and Apple Maps' mobility trends reports. We estimated the daily time-varying reproduction number (Rt) by country. 0-, 7- and 14-day lagged effects of non-pharmaceutical interventions and changes in human mobility on Rt were estimated by linear mixed-effects models.

Results: Rt initially surged rapidly, then declined gradually depending on policy stringency. The highest mean policy stringency scores were for Italy (69.97) and South Korea (61.00). Variations in stringency scores were higher in Europe, the US and Australia than in Asia. The human mobility reduction was greater in countries with strict policies (median stringency score > = 50). In terms of immediate (0-day lag) effects, Rt reductions were found for workplace-closure, limited-gathering, and stay-at-home policies. At a 7-day lag, Rt reductions were found for workplace closure, restrictions on gatherings, stay-at-home requirements, international travel controls, contact tracing and reducing walking around. At a 14-day lag, Rt reductions were found for restrictions on gatherings, less visiting and staying in parks, and reduced walking around.

Conclusion: The findings show physical distancing policies and residents' compliance can slow transmission, with the lag-to-effect time varying by policy.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Ring map of daily confirmed local transmission cases of COVID-19, Feb. 5 to Apr. 8, 2020.
Fig 2
Fig 2. Ring map of daily effective reproduction number (Rt) with 7-day window of COVID-19, Feb. 11 to Apr. 8, 2020.
Fig 3
Fig 3. Ring map of daily stringency score from Feb. 11 to Apr. 8, 2020.
Fig 4
Fig 4. Box plots of stringency scores in 17 countries.
Fig 5
Fig 5. Radar chart of different physical distancing policies with maximum scores in each country.
Fig 6
Fig 6. Radar charts of maximum mobility changes during studied period provided by Google.
Fig 7
Fig 7. Radar charts of maximum mobility changes during studied period provided by Apple.

References

    1. Li Q, Guan X, Wu P, et al. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. New England Journal of Medicine 2020; 382(13): 1199–207. doi: 10.1056/NEJMoa2001316 - DOI - PMC - PubMed
    1. Jackson C, Vynnycky E, Hawker J, Olowokure B, Mangtani P. School Closures and Influenza: Systematic Review of Epidemiological Studies. BMJ Open 2013; 3(2). doi: 10.1136/bmjopen-2012-002149 - DOI - PMC - PubMed
    1. Chung WY, Chiang PS, Luo ST, Lin TY, Tsao KC, Lee MS. A Molecular Approach Applied to Enteroviruses Surveillance in Northern Taiwan, 2008–2012. PLoS One 2016; 11(12): e0167532. doi: 10.1371/journal.pone.0167532 - DOI - PMC - PubMed
    1. Flaxman S, Mishra S, Gandy A, et al. Estimating the Effects of Non-Pharmaceutical Interventions on COVID-19 in Europe. Nature 2020. doi: 10.1038/s41586-020-2405-7 - DOI - PubMed
    1. Hellewell J, Abbott S, Gimma A, et al. Feasibility of Controlling COVID-19 Outbreaks by Isolation of Cases and Contacts. Lancet Glob Health 2020; 8(4): e488–e96. doi: 10.1016/S2214-109X(20)30074-7 - DOI - PMC - PubMed