A SEIR Epidemic Model of Whooping Cough-Like Infections and Its Dynamically Consistent Approximation

Author:

Alqarni M.M.1,Nasir Arooj23,Alyami Maryam Ahmed4,Raza Ali5ORCID,Awrejcewicz Jan6,Rafiq Muhammad7,Ahmed Nauman8,Sumbal Shaikh Tahira9,Mahmoud Emad E.10

Affiliation:

1. Department of Mathematics, College of Sciences, King Khalid University, Abha 61413, Saudi Arabia

2. Baqai Medical University, Karachi, 75340, Pakistan

3. Shalamar Medical and Dental College, Lahore 54000, Pakistan

4. Department of Mathematics, Faculty of Sciences, University of Jeddah, Jeddah, Saudi Arabia

5. Department of Mathematics, Govt. Maulana Zafar Ali Khan Graduate College Wazirabad, Punjab Higher Education Department (PHED), Lahore 54000, Pakistan

6. Department of Automation, Biomechanics and Mechatronics, Lodz University of Technology, 1/15 Stefanowskiego St, Lodz 90-924, Poland

7. Department of Mathematics, Faculty of Science and Technology, University of Central Punjab, Lahore 54000, Pakistan

8. Department of Mathematics and Statistics, The University of Lahore, Lahore 54590, Pakistan

9. Department of Mathematics, Lahore College for Women University, Lahore 54590, Pakistan

10. Department of Mathematics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Abstract

Whooping cough is a highly transmitted disease around the world. According to the World Health Organization (WHO), 0.15 million cases had reported globally in 2018. Most of the Asian and African states are infected regions. Through the study, we investigated the whole population into the four classes susceptible (S), exposed (E), infected (I), and vaccinated or recovered (R). The transmission dynamics of whooping cough disease are studied analytically and numerically. Analytical analyses are positivity, boundedness, reproduction number, equilibria, and local and global stabilities. In numerical analysis, we developed an implicit numerical integration scheme consistent with the biological problem’s properties. The analysis of the implicit method for the said model is dynamically consistent, positive, and bounded. Furthermore, an implicit numerical integration scheme is suitable for studying a particular epidemic model such as the whooping cough disease.

Funder

King Khalid University

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference28 articles.

1. A Network-Based compartmental model for the spread of whooping cough in Nebraska;K. Ameri;AMIA Summits on Translational Science Proceedings,2019

2. Numerical analysis of a modified SIR epidemic model with the effect of time delay;M. A. Ali;Punjab University Journal of Mathematics,2019

3. An optimal control of vaccination applied to whooping cough model;M. Suleman;Journal of Mathematics,2019

4. Contrasting ecological and evolutionary signatures of whooping cough epidemiological dynamics;B. M. Althouse;Pertussis: Epidemiology, Immunology, and Evolution,2018

5. Species interactions may help explain the erratic periodicity of whooping cough dynamics

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