Author: Meng Wang; Jingtao Qi
Title: A deterministic epidemic model for the emergence of COVID-19 in China Document date: 2020_3_10
ID: 6tnkz6hh_3
Snippet: We consider a mathematical model purely based on categorised reported cases, because we believe that key epidemic features will be convolved in the evolution of an infectious disease, namely, the statistics of epidemic data. Should such a model can be fitted with data reasonably well, some epidemic parameters can be extracted. Let's take the number of cumulative confirmed cases (A), the number of cumulative recovered cases (C) and the number of c.....
Document: We consider a mathematical model purely based on categorised reported cases, because we believe that key epidemic features will be convolved in the evolution of an infectious disease, namely, the statistics of epidemic data. Should such a model can be fitted with data reasonably well, some epidemic parameters can be extracted. Let's take the number of cumulative confirmed cases (A), the number of cumulative recovered cases (C) and the number of cumulative deaths (D). We define the number of cumulative removed cases (R) as R = C + D, and the number of current infectives (I) as I = A − R. We assume change rates of both I and R are proportional to I (justification of this assumption will been discussed later),
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