Simulation of prevention and control of COVID-19 epidemic based on computer modeling
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021
; : 408-412, 2021.
Article
in English
| Scopus | ID: covidwho-1948772
ABSTRACT
Taking Henan Province as the research object, this paper discusses the temporal and spatial distribution of COVID-19 and its spreading laws and characteristics. Through computer modeling and intelligent fitting, the Moran'I and Moran's I exponential distributions are obtained to describe the global space and local space density. Establish SEIRD model and use simulated annealing algorithm to predict its development trend. At the same time, taking into account the development of the epidemic and the infection rate under different conditions, as well as the local testing capabilities and testing costs, combined with mathematical expectations, design a reasonable virus testing program. © 2021 IEEE.
Computer modeling; Moran's I Index; SEIRD model; Simulated annealing algorithm; COVID-19; Disease control; Software testing; Well testing; Annealing algorithm; Computer models; Henan Province; Moran I; Moran I index; Prevention and controls; Research object; Temporal and spatial distribution; Simulated annealing
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021
Year:
2021
Document Type:
Article
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