The Application of PageRank model in urban epidemic prevention and control
Proceedings of SPIE - The International Society for Optical Engineering
; 12597, 2023.
Article
in English
| Scopus | ID: covidwho-20244468
ABSTRACT
The ongoing COVID-19 epidemic has had a great impact on social activities and the economy. The usage technical analysis tools to provide a more accurate and efficient reference for epidemic control measures is of great significance. This paper analyzes the characteristics and deficiencies of the existing technical methods, such as regression model, simulation calculation, differential equation and so on. By analyzing past outbreak cases and comparing the epidemic prevention measures of different cities, we discuss the importance of early and timely prevention in controlling the epidemic, and the importance of analyzing and formulating plans in advance. We then make the key observation that the spread of the virus is related to the topology of the urban network. This paper further proposes an epidemic analysis model of the optimized PageRank model, and gives a ranking algorithm for virus transmission risk levels based on road nodes, forming a visual risk warning level map, and applies the algorithm to the epidemic analysis of Yuegezhuang area in Beijing. Finally, more in-depth research directions and suggestions for prevention and control measures are put forward. © 2023 SPIE.
Epidemic research and judgment; Epidemic risk level map; PageRank model; Topological structure; Urban network; Computer viruses; COVID-19; Differential equations; Disease control; Regression analysis; Risk assessment; Topology; Control measures; Page ranks; Prevention and controls; Prevention measures; Risk levels; Urban networks; Viruses
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
Proceedings of SPIE - The International Society for Optical Engineering
Year:
2023
Document Type:
Article
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