Comparative Study on Epidemic Prevention and Control in Taiwan and Guangdong Provinces
Authors: 
Tang Xinfa, Zhong Tian, Chen ZhihaoAuthors Info & Claims
Tang Xinfa, Zhong Tian, Chen ZhihaoAuthors Info & ClaimsPages 127 - 131
Abstract
Novel Coronavirus Pneumonia (COVID-19) has ravaged the world since 2019, seriously affecting human production and life. Although my country has controlled the epidemic on the whole, there are still local outbreaks. To this end, a classic infectious disease SEIR model was established to study the spread of the new coronavirus pneumonia epidemic. The population was divided into four categories: susceptible population, exposed population, infected population and removed population. After the parameters of the SEIR model were determined, Python was applied to conduct drills on the SEIR model, and simulation analysis was conducted on the epidemic transmission in Taiwan and Guangdong provinces with and without control measures. The results show that there are significant differences in the number of exposed, infected, and removed numbers between the two provinces. It shows that early and timely strict prevention and control measures can effectively control the spread of the new coronavirus pneumonia epidemic.
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Published In
September 2021
225 pages
ISBN:9781450384094
DOI:10.1145/3488838
Copyright © 2021 ACM.
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Association for Computing Machinery
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Published: 25 February 2022
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