Author: Yao Yu Yeo; Yao-Rui Yeo; Wan-Jin Yeo
Title: A Computational Model for Estimating the Progression of COVID-19 Cases in the US West and East Coasts Document date: 2020_3_27
ID: 8g64u3ux_4
Snippet: In this paper, we attempt to construct a mathematical model that simulates the scale of COVID-19 outbreak in the US. Despite the uncertainty of the pathogenicity and molecular virology of SARS-CoV-2 [23] , a few key features pertaining to its transmissibility have been studied. The basic reproduction number 0 , which represents the average number of new infections an infectious person can cause in a naïve population, generally range from 2.3 to .....
Document: In this paper, we attempt to construct a mathematical model that simulates the scale of COVID-19 outbreak in the US. Despite the uncertainty of the pathogenicity and molecular virology of SARS-CoV-2 [23] , a few key features pertaining to its transmissibility have been studied. The basic reproduction number 0 , which represents the average number of new infections an infectious person can cause in a naïve population, generally range from 2.3 to 2.9 [22, 33, 38] . The incubation period (the time between initial exposure and development of symptoms) is approximately 5.2 days on average [16, 19] , and the infectious period (the time from onset of symptoms to isolation) is approximately 3 days on average [20, 21] . These transmission features are useful parameters to consider for modeling, which we will describe in detail next.
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