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10.1038/s41467-020-18050-2

http://scihub22266oqcxt.onion/10.1038/s41467-020-18050-2
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32848152!7449964!32848152
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suck abstract from ncbi


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pmid32848152      Nat+Commun 2020 ; 11 (1): 4264
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  • The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures #MMPMID32848152
  • Bertuzzo E; Mari L; Pasetto D; Miccoli S; Casagrandi R; Gatto M; Rinaldo A
  • Nat Commun 2020[Aug]; 11 (1): 4264 PMID32848152show ga
  • The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-2 in Italy must be coupled with effective methodologies to selectively relax containment measures. Here we employ a spatially explicit model, properly attentive to the role of inapparent infections, capable of: estimating the expected unfolding of the outbreak under continuous lockdown (baseline trajectory); assessing deviations from the baseline, should lockdown relaxations result in increased disease transmission; calculating the isolation effort required to prevent a resurgence of the outbreak. A 40% increase in effective transmission would yield a rebound of infections. A control effort capable of isolating daily ~5.5% of the exposed and highly infectious individuals proves necessary to maintain the epidemic curve onto the decreasing baseline trajectory. We finally provide an ex-post assessment based on the epidemiological data that became available after the initial analysis and estimate the actual disease transmission that occurred after weakening the lockdown.
  • |Basic Reproduction Number[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Communicable Disease Control/*standards/trends[MESH]
  • |Coronavirus Infections/*epidemiology/*prevention & control/transmission[MESH]
  • |Forecasting[MESH]
  • |Geography[MESH]
  • |Hospitalization/statistics & numerical data/trends[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Models, Theoretical[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/*epidemiology/*prevention & control/transmission[MESH]
  • |SARS-CoV-2[MESH]


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