City-Level Structured Prediction and Simulation Model of COVID-19
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
; 34(8):1302-1312, 2022.
Article
in Chinese
| Scopus | ID: covidwho-2055455
ABSTRACT
It is important for social public security and urban management to explore the spread of infectious diseases. A city-level structured prediction and simulation model for COVID-19 is proposed. This model is consisted of SEIR and social network model on the basis of latest infectious disease dynamics theory and real geographic networks. The prediction region is divided into multiple levels. Specifically, a bipartite network is applied to simulate the relationship between public facilities and community nodes at the macro level, and a modified SEIR is applied to simulate the infection within nodes at the micro level. Besides, intelligent agent is applied to track the individual transmission process. The contrast experimental results based on the confirmed and cursed cases of Wuhan and Beijing in 2020 published by National Health Commission, show that the proposed model has better flexibility and higher accuracy, and reflects the distribution and movement of people more directly. © 2022 Institute of Computing Technology. All rights reserved.
complex networks; coronavirus disease 2019 (COVID-19); epidemic; intelligent agent; susceptible-exposed-infectious-removed (SEIR) model; Computation theory; Intelligent agents; Coronavirus disease 2019; Infectious disease; Prediction and simulations; Prediction modelling; Public security; Security management; Simulation model; Structured prediction; Susceptible-exposed-infectious-removed model; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Computer-Aided Design and Computer Graphics
Year:
2022
Document Type:
Article
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