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10.1371/journal.pone.0236619

http://scihub22266oqcxt.onion/10.1371/journal.pone.0236619
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32730356!7392246!32730356
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suck abstract from ncbi


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pmid32730356      PLoS+One 2020 ; 15 (7): e0236619
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  • Enacting national social distancing policies corresponds with dramatic reduction in COVID19 infection rates #MMPMID32730356
  • McGrail DJ; Dai J; McAndrews KM; Kalluri R
  • PLoS One 2020[]; 15 (7): e0236619 PMID32730356show ga
  • The outbreak the SARS-CoV-2 (CoV-2) virus has resulted in over 6.5 million cases of COVID19, greatly stressing global healthcare infrastructure. Lacking medical prophylactic measures to combat disease spread, many nations have adopted social distancing policies in order to mitigate transmission of CoV-2. While mathematical models have suggested the efficacy of social distancing to curb the spread of CoV-2, there is a lack of systematic studies to quantify the real-world efficacy of these approaches. Here, we first demonstrate that implementation of social distancing policies in US states corresponded with a reduction in COVID19 spread rates, and that the reduction in spread rate is proportional to the average change in mobility. We validate this observation on a worldwide scale by analyzing COVID19 spread rate in 134 nations with varying social distancing policies. Globally, we find that social distancing policies significantly reduced the COVID19 spread rate, with resulting in an estimated 65% reduction (95% CI = 39-80%) in new COVID19 cases over a two week time period. These data suggest that social distancing policies may be a powerful tool to prevent spread of COVID19 in real-world scenarios.
  • |*Betacoronavirus[MESH]
  • |*Models, Theoretical[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*epidemiology/*prevention & control/transmission/virology[MESH]
  • |Humans[MESH]
  • |International Health Regulations[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/*epidemiology/*prevention & control/transmission/virology[MESH]
  • |Quarantine/economics/*methods[MESH]
  • |SARS-CoV-2[MESH]


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