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10.1016/j.ijid.2021.01.010

http://scihub22266oqcxt.onion/10.1016/j.ijid.2021.01.010
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33434673!7837159!33434673
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suck abstract from ncbi

pmid33434673      Int+J+Infect+Dis 2021 ; 104 (?): 262-268
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  • Undetected infectives in the Covid-19 pandemic #MMPMID33434673
  • Melis M; Littera R
  • Int J Infect Dis 2021[Mar]; 104 (?): 262-268 PMID33434673show ga
  • OBJECTIVES: Epidemiological investigations and mathematical models have revealed that the rapid diffusion of Covid-19 can mostly be attributed to undetected infective individuals who continue to circulate and spread the disease: finding their number would be of great importance in the control of the epidemic. METHODS: The dynamics of an infection can be described by the SIR model, which divides the population into susceptible (S), infective I, and removed R subjects. In particular, we exploited the Kermack-McKendrick epidemic model, which can be applied when the population is much larger than the fraction of infected subjects. RESULTS: We proved that the fraction of undetected infectives, compared to the total number of infected subjects, is given by 1-1R(0), where R(0) is the basic reproduction number. The mean value R(0)=2.102.09-2.11 for the Covid-19 epidemic in three Italian regions yielded a percentage of undetected infectives of 52.4% (52.2%-52.6%) compared to the total number of infectives. CONCLUSIONS: Our results, straightforwardly obtained from the SIR model, highlight the role of undetected carriers in the transmission and spread of the SARS-CoV-2 infection. Such evidence strongly recommends careful monitoring of the infective population and ongoing adjustment of preventive measures for disease control until a vaccine becomes available for most of the population.
  • |*Models, Theoretical[MESH]
  • |*Pandemics[MESH]
  • |Basic Reproduction Number[MESH]
  • |COVID-19/*epidemiology/prevention & control/transmission/virology[MESH]
  • |Disease Susceptibility[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]


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