Abstract
Developments in the information ages coming. The prevalence of covid-19 destroys economic and social development. This paper uses the data of COVID-19 epidemic in China from January 11, 2020 to February 9th to observe the trend of the number of confirmed cases and analyze the spatiotemporal distribution characteristics of the patients. On this basis, we establish the CA model and focus on the influence of different population activities on the transmission of infectious diseases by changing the parameters. Finally, it is concluded that inter provincial migration does have a certain impact on the spread of the epidemic, but its impact capacity is related to the geographical location of the target province; for individuals, the stronger the activity capacity is, the faster it spreads.
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Zhang, C. (2022). The Analysis of COVID-19 Propagation Process Based on Population Flow and Cellular Automaton Model. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-030-96908-0_113
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DOI: https://doi.org/10.1007/978-3-030-96908-0_113
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