Mobile Phone GPS Data and Prevalence of COVID-19 Infections: Quantifying Parameters of Social Distancing in the U.S. | ||
| The Archives of Bone and Joint Surgery | ||
| مقاله 12، دوره 9، شماره 2، خرداد 2021، صفحه 217-223 اصل مقاله (546.09 K) | ||
| نوع مقاله: RESEARCH PAPER | ||
| شناسه دیجیتال (DOI): 10.22038/abjs.2020.48515.2404 | ||
| نویسندگان | ||
| Nicholas N. DePhillipo1؛ Jorge Chahla2؛ Michael Busler3؛ Robert F. LaPrade* 4 | ||
| 11 Adjunct Faculty University of Minnesota, Twin Cities Orthopedics, Edina, MN, USA 2 Oslo Sports Trauma Research Institute, Oslo, Norway | ||
| 2Midwest Orthopaedics at Rush, Chicago, IL, USA | ||
| 3Stockton University, Galloway, NJ, USA | ||
| 4Adjunct Faculty University of Minnesota, Twin Cities Orthopedics, Edina, MN, USA | ||
| چکیده | ||
| Background: To evaluate the association between social distancing quantified by mobile phone data and the current prevalence of COVID-19 infections in the U.S. per capita. Methods: Data were accessed on April 4, 2020, from Centers for Disease Control and Prevention, Google COVID-19 Community Mobility Report, and the United States Census Bureau to report prevalence of COVID-19 infections, mobility data, and population per state, respectively. Mobility data points were defined as daily length of visit or time spent in a single location based on mobile phone users shared locations from February 7 – March 29, 2020. Multivariable linear regression was used to evaluate relationships between normalized per capita infection prevalence and six parameters of social distancing. Results: Mobility data indicated the following percent changes compared to median values of baseline activity: -50% in transit stations, -45% in retail/recreation, -36% in workplaces, -23% in grocery/pharmacy, -19% in parks, and +12% in residential living areas. Multivariable linear regression revealed significant correlation between prevalence of infection per capita and parameters of social distancing (R= 0.604, P= 0.002). Time at home was not an independent predictor for prevalence of infection per capita (beta= 0.016; 95% CI, -0.003 to 0.036; P= 0.09). Conclusion: Based on mobility reports from mobile phone GPS data and six characteristics of social distancing, significant associations were identified between geographic activity and prevalence of COVID-19 infections in the U.S. per capita. Mobile phone data utilizing ‘location history’ may be warranted to monitor the effectiveness of social distancing parameters on reducing prevalence of COVID-19 in the U.S. Level of evidence: IV | ||
| کلیدواژهها | ||
| Coronavirus؛ Contact tracing؛ Social distancing | ||
| مراجع | ||
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