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10.1371/journal.pone.0248221

http://scihub22266oqcxt.onion/10.1371/journal.pone.0248221
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33720951!7959357!33720951
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suck abstract from ncbi


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pmid33720951      PLoS+One 2021 ; 16 (3): e0248221
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  • Social distancing compliance: A video observational analysis #MMPMID33720951
  • Hoeben EM; Bernasco W; Suonpera Liebst L; van Baak C; Rosenkrantz Lindegaard M
  • PLoS One 2021[]; 16 (3): e0248221 PMID33720951show ga
  • PURPOSE: Virus epidemics may be mitigated if people comply with directives to stay at home and keep their distance from strangers in public. As such, there is a public health interest in social distancing compliance. The available evidence on distancing practices in public space is limited, however, by the lack of observational data. Here, we apply video observation as a method to examine to what extent members of the public comply with social distancing directives. DATA: Closed Circuit Television (CCTV) footage of interactions in public was collected in inner-city Amsterdam, the Netherlands. From the footage, we observed instances of people violating the 1.5-meter distance directives in the weeks before, during, and after these directives were introduced to mitigate the COVID-19 pandemic. RESULTS: We find that people complied with the 1.5-meter distance directives when these directives were first introduced, but that the level of compliance started to decline soon after. We also find that violation of the 1.5-meter distance directives is strongly associated with the number of people observed on the street and with non-compliance to stay-at-home directives, operationalized with large-scale aggregated location data from cell phones. All three measures correlate to a varying extent with temporal patterns in the transmission of the COVID-19 virus, temperature, COVID-19 related Google search queries, and media attention to the topic. CONCLUSION: Compliance with 1.5 meter distance directives is short-lived and coincides with the number of people on the street and with compliance to stay-at-home directives. Potential implications of these findings are that keep- distance directives may work best in combination with stay-at-home directives and place-specific crowd-control strategies, and that the number of people on the street and community-wide mobility as captured with cell phone data offer easily measurable proxies for the extent to which people keep sufficient physical distance from others at specific times and locations.
  • |*Physical Distancing[MESH]
  • |*Public Health[MESH]
  • |COVID-19/*pathology/transmission/virology[MESH]
  • |Communications Media[MESH]
  • |Databases, Factual[MESH]
  • |Humans[MESH]
  • |Netherlands[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]
  • |Temperature[MESH]


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