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【Econ. for COVID-19文献6】基于人口流动大数据的新冠传播预测

来源:南风金融网 作者:南风金融网 人气: 发布时间:2020-04-11 09:03:41

?TitleModeling and Prediction of the 2019 Coronavirus Disease Spreading in China Incorporating Human Migration Data

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AuthorsChoujun Zhan, Chi K. Tse, Yuxia Fu, ZhikangLai, Haijun Zhang

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【Abstract】This study integrates the daily intercity migration data with the classic Susceptible-Exposed-Infected-Removed (SEIR) model to construct a new model suitable for describing the dynamics of epidemic spreading of Coronavirus Disease 2019 (COVID-19) in China. Daily intercity migration data for 367 cities in China are collected from Baidu Migration, a mobile-app based human migration tracking data system. Historical data of infected, recovered and death cases from official source are used for model fitting. The set of model parameters obtained from best data fitting using a constrained nonlinear optimization procedure is used for estimation of the dynamics of epidemic spreading in the coming weeks. Our results show that the number of infections in most cities in China will peak between mid February to early March 2020, with about 0.8%, less than 0.1% and less than 0.01% of the population eventually infected in Wuhan, Hubei Province and the rest of China, respectively.

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ReferenceZhan,C., Tse, C., Fu, Y., Lai, Z. and Zhang, H. (2020) Modelling and prediction ofthe 2019 coronavirus disease spreading in China incorporating human migration data, SSRN

Downloadhttps://www.medrxiv.org/content/10.1101/2020.02.18.20024570v1


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