A SIQRS epidemic model incorporating psychological factors for COVID-19
Since the initiation of the highest-level public health emergency response in Jilin Province, China, on January 25, 2020, awareness of COVID-19 has remained high. However, in March 2022, an outbreak of COVID-19, attributed to imported cases, occurred in Changchun, China. Considering the psychological impact of COVID-19 on humans, we developed a SIQRS epidemic model. Dynamic analyses were conducted on both deterministic and corresponding stochastic models. By employing non-linear least squares to fit COVID-19 data, we analyzed the influence of psychological factors on the disease?s spread. Our aim was to explore effective prevention and control measures for COVID-19, taking into account the psychological dimension of the pandemic.
Authors
- Huilai Li (ORCID: https://orcid.org/0000-0003-3559-1456)
- Wenda Xu (ORCID: https://orcid.org/0009-0001-0703-0929)
- Wenxuan Li (ORCID: https://orcid.org/0009-0000-6641-0393)
- Xu Chen
Institutions
- Jilin University (CN)
Publication Details
- Journal
- Thermal Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2298/tsci2502077l
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00