Mathematical Models for Infectious Disease Dynamics and Control Strategies

The study explores mathematical models related to the dynamics of infectious diseases and approaches to manage them. These models are essential resources for comprehending how illnesses spread throughout people and assessing how well control strategies work. The study of infectious disease epidemiology heavily relies on mathematical modeling and analysis. Here, we give a clear overview of the spread of disease, explain how to mathematically model this stochastic process, and show how to utilize this mathematical representation to analyze the emergent dynamics of real-world epidemics. The advancement of mathematical analysis and modeling is crucial to our expanding comprehension of the evolution and ecology of pathogens. This study emphasizes how important mathematical modeling is to improving our knowledge of the dynamics of infectious diseases and how crucial it is to creating efficient management plans to lessen the burden of infectious diseases on public health.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-10-25
DOI
https://doi.org/10.52783/cana.v32.2101
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.40
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article

Mathematical Models for Infectious Disease Dynamics and Control Strategies

Vinayak Kishan Nirmale
1 citations
Communications on Applied Nonlinear Analysis
COVID-19 epidemiological studies
0.40
article

Mathematical Models for Infectious Disease Dynamics and Control Strategies

Vinayak Kishan Nirmale
article en
1 citations

Abstract

The study explores mathematical models related to the dynamics of infectious diseases and approaches to manage them. These models are essential resources for comprehending how illnesses spread throughout people and assessing how well control strategies work. The study of infectious disease epidemiology heavily relies on mathematical modeling and analysis. Here, we give a clear overview of the spread of disease, explain how to mathematically model this stochastic process, and show how to utilize this mathematical representation to analyze the emergent dynamics of real-world epidemics. The advancement of mathematical analysis and modeling is crucial to our expanding comprehension of the evolution and ecology of pathogens. This study emphasizes how important mathematical modeling is to improving our knowledge of the dynamics of infectious diseases and how crucial it is to creating efficient management plans to lessen the burden of infectious diseases on public health.

Communications on Applied Nonlinear AnalysisVol. 32(1s)
Good health and well-being
Openalex Percentile: Top 39%
COVID-19 epidemiological studies
0.40
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