Modular Network Effects on Communicable Disease Models

Communicable disease models have been studied using classical mathematical differential equations for a long time now. However, these classical models do not always accurately represent the complex network behavior that governs the spread of any type of information, including communicable diseases. The paper presents a new modular network representation and shows how diseases generally spread in such a network. This paper also shows different simulation results, while looking at various observation parameters such as infection duration and number of modules. This paper then analyzes the 2009 H1N1 data for the Indian metropolitan cities of Delhi and Mumbai and states of Karnataka and Tamil Nadu in India and then discusses the correlation between the real-world data and the modular network results obtained through our simulations.