The Effect of Assortativity on Mpox Spreading with Two Core Groups

Fanni Nedényi (), János M. Benke () and Gergely Röst ()
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Fanni Nedényi: Hungarian Center of Excellence for Molecular Medicine (HCEMM), Scientific Computing Advanced Core Facility
János M. Benke: University of Szeged, Bolyai Institute
Gergely Röst: Hungarian Center of Excellence for Molecular Medicine (HCEMM), Scientific Computing Advanced Core Facility

A chapter in Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells, 2025, pp 375-392 from Springer

Abstract: Abstract The spread of infectious diseases often concentrates within specific subgroups of a broader population. For instance, during recent mpox outbreaks in non-endemic countries, transmission primarily affected men who have sex with men (MSM). However, the internal structure of these subpopulations plays a crucial role in disease dynamics and should be accurately represented in mathematical models. In this study, we highlight the importance of modeling interactions between distinct subgroups and their impact on transmission patterns. We consider a stochastic SEIR-based model with two core groups embedded into the general population and investigate the outcome of the outbreak with different levels of symmetry between these groups and assortativity in their contacts. Our results indicate that the efficiency of commonly used non-pharmaceutical interventions is greatly influenced by these factors; hence, they should be considered in the design of intervention strategies.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-97461-8_21

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DOI: 10.1007/978-3-031-97461-8_21

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