Research Journal of Science and Technology

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Mathematical Modeling in Epidemiology


Affiliations
1 Department of Mathematics, Ideal College of Arts & Sciences, Kakinada, India
2 Department of Physics, Ideal College of Arts & Sciences, Kakinada., India
     

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Mathematical modeling is a discipline, which deals with the study of infectious diseases in a population. The aim of epidemic modeling is to understand and if possible control the spread of the disease. In this paper I am trying to investigate the mathematical relation between immunity system and antigens. In this paper my intention is to prove in an individual an immunity system was playing important role in spreading diseases. Mathematical models have been applied to evaluate existing therapies and suggest novel therapies. This paper reviews the contributions of mathematical modeling to immunity system. These modeling have great potential in this field.

Keywords

Mathematical Modeling, Epidemic Modeling, Immunology, Differential Equation, Susceptible.
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  • Mathematical Modeling in Epidemiology

Abstract Views: 209  |  PDF Views: 0

Authors

A. Ch. Sravanthi
Department of Mathematics, Ideal College of Arts & Sciences, Kakinada, India
K. Venkata Lakshmi
Department of Physics, Ideal College of Arts & Sciences, Kakinada., India
K. T. N. Jyothi
Department of Mathematics, Ideal College of Arts & Sciences, Kakinada, India

Abstract


Mathematical modeling is a discipline, which deals with the study of infectious diseases in a population. The aim of epidemic modeling is to understand and if possible control the spread of the disease. In this paper I am trying to investigate the mathematical relation between immunity system and antigens. In this paper my intention is to prove in an individual an immunity system was playing important role in spreading diseases. Mathematical models have been applied to evaluate existing therapies and suggest novel therapies. This paper reviews the contributions of mathematical modeling to immunity system. These modeling have great potential in this field.

Keywords


Mathematical Modeling, Epidemic Modeling, Immunology, Differential Equation, Susceptible.

References