THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Wen-Xuan Li

,

Chen Xu

,

Hui-Lai Li

,

Wen-Da Xu

A SIQRS EPIDEMIC MODEL INCORPORATING PSYCHOLOGICAL FACTORS FOR COVID-19

ABSTRACT
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.
KEYWORDS
deterministic model, stochastic model, psychological effect, stability analysis, extinction
PAPER SUBMITTED: 2024-09-08
PAPER REVISED: 2024-10-22
PAPER ACCEPTED: 2024-11-28
PUBLISHED ONLINE: 2025-05-03
DOI REFERENCE: https://doi.org/10.2298/TSCI2502077L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 2, PAGES [1077 - 1082]
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A SIQRS epidemic model incorporating psychological factors for COVID-19

2025 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence