Mathematical Modeling of Infectious Disease Spread: Insights from Network Theory
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Abstract
Mathematical modeling plays a crucial role in understanding and mitigating the spread of infectious diseases. In recent years, network theory has emerged as a powerful framework for studying the dynamics of disease transmission in complex populations. This paper explores the application of network theory to mathematical modeling of infectious disease spread, providing insights into the mechanisms underlying epidemic dynamics and informing public health interventions. the basic concepts of network theory and its relevance to modeling infectious diseases. Networks represent populations as nodes and interactions between individuals as edges, allowing for the characterization of contact patterns and transmission pathways. By modeling disease transmission on networks, we can capture heterogeneity in contact patterns, identify key nodes for targeted interventions, and assess the effectiveness of control measures.
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