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Publication Number

2407040

 

Page Numbers

1-5

Paper Details

Mathematical Modelling in Epidemiology

Authors

Dr. Anurag Singh

Abstract

Mathematical modelling in epidemiology is an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. By converting biological processes into mathematical equations, these models allow researchers and public health officials to simulate various scenarios, estimate potential outcomes, and evaluate the impact of intervention strategies. This essay discusses the importance of mathematical modelling in epidemiology, types of models used, key parameters and their estimation, applications in public health, challenges and limitations, and future directions and innovations. Understanding these elements helps optimize public health measures and enhances disease control and prevention.

Keywords

Epidemiology, Mathematical Modelling, Infectious Diseases, Public Health Interventions

 

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Citation

Mathematical Modelling in Epidemiology. Dr. Anurag Singh. 2018. IJIRCT, Volume 4, Issue 2. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2407040

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