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Exploring the Pattern of Early COVID-19 Transmission Caused by Population Migration Based on 14 Cities in Hubei Province, China
Author(s) -
Lin Luo,
Wen Wen,
Chunyi Wang,
Mengyun Zhou,
Jie Ni,
Jingjie Jiang,
Juan Chen,
Mingwei Wang,
Zhanhui Feng,
Yongran Cheng
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s333018
Subject(s) - population , covid-19 , china , geography , demography , quartile , transmission (telecommunications) , socioeconomics , statistics , mathematics , infectious disease (medical specialty) , medicine , computer science , sociology , disease , confidence interval , telecommunications , archaeology , pathology
Relevant studies show that population migration has a great impact on the early spread of infectious diseases. Therefore, it is important to explore whether there is an explicit relationship between population migration and the number of confirmed cases for the control of the COVID-19 epidemic. This paper mainly explores the impact of population migration on early COVID-19 transmission, and establishes a predictive nonlinear mathematical model to predict the number of early cases.

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