Mathematical Analysis of an Obesity Model with Eating Behaviors

Mathematical Analysis of an Obesity Model with Eating Behaviors

Year:    2020

Author:    Wendi Wang

CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 2 : pp. 240–255

Abstract

Overweight is a social disease, which is transmitted through social networks. A mathematical model is proposed to simulate the dynamics of social obesity, where the structures of individual heterogeneity and overeating behaviors are incorporated. The basic reproduction number of the disease is calculated and is shown to be a threshold for disease invasion. Sufficient conditions for the global stability of an endemic equilibrium is established by Lyapunov functions. Numerical simulations are provided to reveal how interventions through treatment to eating behaviors and education to susceptible individuals suppress the progression of the disease.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/csiam-am.2020-0007

CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 2 : pp. 240–255

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    Overeating behavior reproduction number global stability intervention.

Author Details

Wendi Wang

  1. The impact of obesity on chronic diseases: type 2 diabetes, heart disease, and high blood pressure

    Antouri, Zina | Mezouaghi, Abdelheq | Djilali, Salih | Zeb, Anwar | Khan, Ilyas | Omer, Abdoalrahman S.A.

    Applied Mathematics in Science and Engineering, Vol. 32 (2024), Iss. 1

    https://doi.org/10.1080/27690911.2024.2422061 [Citations: 0]
  2. MATHEMATICAL MODEL FOR THE STUDY OF OBESITY IN A POPULATION AND ITS IMPACT ON THE GROWTH OF DIABETES

    Moya, Erick Delgado | Pietrus, Alain | Bernard, Séverine

    Mathematical Modelling and Analysis, Vol. 28 (2023), Iss. 4 P.611

    https://doi.org/10.3846/mma.2023.17510 [Citations: 2]