Bridging Compartmental Models and Network Analysis in Epidemiological Modelling

Abstract

In this study, the authors undertake a comparative analysis of compartmental models and network analysis as means of simulating the propagation of infectious diseases. Compartmental models operate under the assumption of homogeneous mixing, which is often a flawed assumption as individuals tend to engage in varied contact patterns based on their surrounding environments. On the other hand, social network analysis accounts for the intricate web of interpersonal connections between individuals, thereby offering a more realistic portrayal of social behaviour. However, network analysis can be computationally demanding, rendering its application in real-time epidemic modelling challenging. By conducting a series of simulations utilising the SIR model and network analysis, the authors accentuate the merits of a hybrid modelling approach that integrates the strengths of both compartmental models and network analysis while mitigating their respective limitations. Additionally, the authors suggest plausible avenues for future research.