ArticleInternational journal of environmental research and public health2022
Construction and Simulation Analysis of Epidemic Propagation Model Based on COVID-19 Characteristics.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database.Frontiers in public health · 2025Article
- Evaluating public opinions: informing public health policy adaptations in China amid the COVID-19 pandemic.Scientific reports · 2024Article
- Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.Entropy (Basel, Switzerland) · 2023Article
- Quantitative Analysis of Online Labor Platforms' Algorithmic Management Influence on Psychological Health of Workers.International journal of environmental research and public health · 2023Article
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1 author.
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Abstract
This paper proposes the epidemic propagation model SEAIHR to elucidate the propagation mechanism of the Corona Virus Disease of 2019 (COVID-19). Based on the analysis of the propagation characteristics of COVID-19, the hospitalization isolation state and recessive healing state are introduced. The home morbidity state is introduced to consider the self-healing of asymptomatic infected populations, the early isolation of close contractors, and the impact of epidemic prevention and control measures. In this paper, by using the real epidemic data combined with the changes in parameters in different epidemic stages, multiple model simulation comparative tests were conducted. The experimental results showed that the fitting and prediction accuracy of the SEAIHR model was significantly better than the classical epidemic propagation model, and the fitting error was 34.4-72.8% lower than that of the classical model in the early and middle stages of the epidemic.
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