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10.1371/journal.pone.0236237

http://scihub22266oqcxt.onion/10.1371/journal.pone.0236237
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32706809!7380601!32706809
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suck abstract from ncbi


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pmid32706809      PLoS+One 2020 ; 15 (7): e0236237
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  • Modeling strict age-targeted mitigation strategies for COVID-19 #MMPMID32706809
  • Chikina M; Pegden W
  • PLoS One 2020[]; 15 (7): e0236237 PMID32706809show ga
  • We use a simple SIR-like epidemic model integrating known age-contact patterns for the United States to model the effect of age-targeted mitigation strategies for a COVID-19-like epidemic. We find that, among strategies which end with population immunity, strict age-targeted mitigation strategies have the potential to greatly reduce mortalities and ICU utilization for natural parameter choices.
  • |*Age Factors[MESH]
  • |*Models, Theoretical[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/mortality/*prevention & control[MESH]
  • |Humans[MESH]
  • |Intensive Care Units/statistics & numerical data[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/mortality/*prevention & control[MESH]
  • |SARS-CoV-2[MESH]


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