Author: Raj Dandekar; George Barbastathis
Title: Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning Document date: 2020_4_6
ID: 222c1jzv_17
Snippet: The classic SEIR epidemiological model has been employed in a number of prior studies, such as the SARS outbreak Fang et al. (2006) ; Saito et al. (2013) ; Smirnova et al. (2019) as well as the Covid outbreak Read et al. (2020) ; Tang et al. (2020) ; Wu & Leung (2020) . The entire population is divided into four sub-populations: susceptible S; exposed E; infected I; and recovered R. The sub-populations' evolution is governed by the following syst.....
Document: The classic SEIR epidemiological model has been employed in a number of prior studies, such as the SARS outbreak Fang et al. (2006) ; Saito et al. (2013) ; Smirnova et al. (2019) as well as the Covid outbreak Read et al. (2020) ; Tang et al. (2020) ; Wu & Leung (2020) . The entire population is divided into four sub-populations: susceptible S; exposed E; infected I; and recovered R. The sub-populations' evolution is governed by the following system of four coupled nonlinear ordinary differential equations (Smirnova et al. 2019; Wang et al. 2020) . CC-BY-NC-ND 4.0 International license It is made available under a preprint in perpetuity.
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