Journal Volumes


  JOURNAL DETAIL



Analyzing the Dynamics of A Periodic SIQR Epidemic Model with Mild and Severe Infectious


Paper Type 
Contributed Paper
Title 
Analyzing the Dynamics of A Periodic SIQR Epidemic Model with Mild and Severe Infectious
Author 
Ruitong Zhang and Lianying Cao
Email 
zcly200153@nefu.edu.cn
Abstract:

     Based on the seasonal characteristics of infectious diseases, we present a non-autonomous compartmental model that considers mild and severe infection populations. We adopt different isolation methods for these two infected populations. The transmission period is divided into off-season J1 and peak season J2 . This study aims to provide the theoretical basis for controlling such infectious diseases. First, we use the Lipschitz condition to prove the model has a unique solution. Then, we construct a periodic linear system and obtain its fundamental solution matrix . The basic reproduction number is given by the equation . Furthermore, the disease-free equilibrium is globally asymptotically stable if . In addition, sensitivity analysis shows that if there are more mild infections within a period, then the infection rate ( ) and home isolation rate have a significant impact on . If the proportion of peak season is high, then we have . It indicates that reducing the infection rate can effectively control the spread of the epidemic compared with reducing . In summary, we can determine the most effective way to control the disease based on the number of mild and severe patients and the proportion of off-season and peak-season. Finally, we select two sets of parameters for numerical simulation.

Article ID
e2025037
Received Date 
2024-10-21
Revised Date 
2025-01-27
Accepted Date 
2025-02-19
Keyword 
non-autonomous model, mild and severe infection, the basic reproduction number, sensitivity analysis
Volume 
Vol.52 No.4 In progress (July 2025). This issue is in progress but contains articles that are final and fully citable.
DOI 
https://doi.org/10.12982/CMJS.2025.037
Citation 

 Zhang R. and Cao L., Analyzing the dynamics of a periodic SIQR epidemic model with mild and severe infectious. Chiang Mai Journal of Science, 2025; 52(4): e2025037. DOI 10.12982/CMJS.2025.037.

SDGs
View:43 Download:0

  RELATED ARTICLE

Mathematical Modeling of Antibiotic Resistance in Hospital with Dysbiosis
Article ID: e2023027
Author:Luzz Claire P. Llenos, Ivy Lorelei G. Miranda, Andrei A. Domogo and Juancho A. Collera
Vol.50 No.3 (May 2023) View: 1,900 Download:580



Search in this journal


Document Search


Author Search

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

Popular Search






Chiang Mai Journal of Science

Faculty of Science, Chiang Mai University
239 Huaykaew Road, Tumbol Suthep, Amphur Muang, Chiang Mai 50200 THAILAND
Tel: +6653-943-467




Faculty of Science,
Chiang Mai University




EMAIL
cmjs@cmu.ac.th




Copyrights © Since 2021 All Rights Reserved by Chiang Mai Journal of Science