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10.1093/imammb/dqab013

http://scihub22266oqcxt.onion/10.1093/imammb/dqab013
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34695187!8574313!34695187
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suck abstract from ncbi


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pmid34695187      Math+Med+Biol 2021 ; 38 (4): 467-473
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  • Synchronization in epidemic growth and the impossibility of selective containment #MMPMID34695187
  • Budich JC; Bergholtz EJ
  • Math Med Biol 2021[Dec]; 38 (4): 467-473 PMID34695187show ga
  • Containment, aiming to prevent the epidemic stage of community-spreading altogether, and mitigation, aiming to merely 'flatten the curve' of a wide-ranged outbreak, constitute two qualitatively different approaches to combating an epidemic through non-pharmaceutical interventions. Here, we study a simple model of epidemic dynamics separating the population into two groups, namely a low-risk group and a high-risk group, for which different strategies are pursued. Due to synchronization effects, we find that maintaining a slower epidemic growth behaviour for the high-risk group is unstable against any finite coupling between the two groups. More precisely, the density of infected individuals in the two groups qualitatively evolves very similarly, apart from a small time delay and an overall scaling factor quantifying the coupling between the groups. Hence, selective containment of the epidemic in a targeted (high-risk) group is practically impossible whenever the surrounding society implements a mitigated community-spreading. We relate our general findings to the ongoing COVID-19 pandemic.
  • |*COVID-19[MESH]
  • |*Pandemics[MESH]
  • |Humans[MESH]
  • |Risk Factors[MESH]


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