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10.1016/j.rinp.2020.103712

http://scihub22266oqcxt.onion/10.1016/j.rinp.2020.103712
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33391987!7759094!33391987
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suck abstract from ncbi


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pmid33391987      Results+Phys 2021 ; 20 (ä): 103712
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  • A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan #MMPMID33391987
  • Liu X
  • Results Phys 2021[Jan]; 20 (ä): 103712 PMID33391987show ga
  • In this study, an individual-based epidemic model, considering latent-infectious-recovery periods, is presented. The analytic solution of the model in the form of recursive formulae with a time-dependent transmission coefficient is derived and implanted in Excel. The simulated epidemic curves from the model fit very well with the daily reported cases of COVID-19 in Wuhan, China and New York City (NYC), USA. These simulations show that the transmission rate of NYC's COVID-19 is nearly 30% greater than the transmission rate of Wuhan's COVID-19, and that the actual number of cumulative infected people in NYC is around 9 times the reported number of cumulative COVID-19 cases in NYC. Results from this study also provide important information about latent period, infectious period and lockdown efficiency.
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