Analyzing epidemic spread through differential equations : SEIR model with time-varying parameters and social structure
*Atul ChandolaCorresponding author23bsb50004@cuchd.inDepartment of Education and Teacher TrainingUniversity Institute of Teachers Training and Research (UITTR)Chandigarh UniversityGharuan, Mohali, Punjab, 140413, IndiaView full profile → , Ruchi Sharmaruchi.e15498@cumail.inDepartment of MathematicsChandigarh UniversityGharuan, Mohali, Punjab, 140413, IndiaView full profile → , Bhavya23bsb50024@cuchd.inDepartment of Education and Teacher TrainingUniversity Institute of Teachers Training and Research (UITTR)Chandigarh UniversityGharuan, Mohali, Punjab, 140413, IndiaView full profile → , Chetan23bsb50012@cuchd.inDepartment of Education and Teacher TrainingUniversity Institute of Teachers Training and Research (UITTR)Chandigarh UniversityGharuan, Mohali, Punjab, 140413, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Feb 2026
- Published Online:
- 25 Aug 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-2648
- Pages:
- 2593–2599
Abstract
New Model of Public Health Value of Vaccination Integrating Social Network Structure and Time-Varying Parameters. We introduce a new mathematical model of public health value of vaccination that integrates social network structure and time-varying parameter into a traditional model, the SEIR model. Traditional epidemiological models tend to assume homogeneity of the population and constant parameters for all health-relevant measurements such as transmission rates and vaccine efficacy. However, in practical contexts, the contact rates between individual and population and the epidemiology of transmission of the disease vary extensively among different social groups and over time.
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References
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