Modeling the Dynamics of Infectious Disease Under the Influence of Environmental Pollution

• Published in: International journal of applied and computational mathematics Vol. 4; no. 3
• Main Authors: Kumari, Nitu, Sharma, Sandeep
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.06.2018; Springer Nature B.V
• Subjects: Applications of Mathematics; Applied mathematics; Computational mathematics; Computational Science and Engineering; Computer simulation; Differential equations; Environmental impact; Epidemics; Immunity; Infectious diseases; Mathematical and Computational Physics; Mathematical Modeling and Industrial Mathematics; Mathematical models; Mathematics; Mathematics and Statistics; Nuclear Energy; Operations Research/Decision Theory; Ordinary differential equations; Original Paper; Sensitivity analysis; Theoretical; Infectious disease; Basic reproduction number; 92D30; Stability; 34D23; Environmental pollution; Backward bifurcation; 34D20
• ISSN: 2349-5103; 2199-5796
• DOI: 10.1007/s40819-018-0514-x

Environmental pollution is one of the leading causes of mortality across the globe. There are evidences in literature which reflects the fact that regular exposure to environmental pollution leads to reduced immunity in human population. Therefore, we introduce environmental pollution as one of the concepts in understanding the dynamics of infectious disease. We propose a new SIS type epidemic model to study the impact of environmental pollution on the spread of infectious diseases. We divide the susceptible individuals into two compartments out of which one contains the pollution affected individuals. The present study demonstrates that we can not ignore environmental pollution during the study of a disease model. Till date, there are no studies which show the significance and impact of environmental pollution on the spread of infectious diseases. The expression of basic reproduction number is obtained for the proposed model. A detailed dynamical analysis of the model has been performed using the theory of ordinary differential equations, dynamical system and basic reproduction number. Numerical simulations along with sensitivity analysis are performed to support our analytical findings.