ArticleRoyal Society open science2022
The effects of local homogeneity assumptions in metapopulation models of infectious disease.
Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Modeling spatially dependent count time series data using COM-poisson INGARCH Models.PloS one · 2026Article
- Strength and weakness of disease-induced herd immunity in networks.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A compartment and metapopulation model of Rocky Mountain spotted fever in southwestern United States and northern Mexico.Infectious Disease Modelling · 2024Article
- Modeling geographic vaccination strategies for COVID-19 in Norway.PLoS computational biology · 2024Article
- Cumulative damage for multi-type epidemics and an application to infectious diseases.Journal of mathematical biology · 2023Article
- The effects of local homogeneity assumptions in metapopulation models of infectious disease.Royal Society open science · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational models of infectious disease can be broadly categorized into two types: individual-based (agent-based) or compartmental models. While there are clear conceptual distinctions between these methodologies, a fair comparison of the approaches is difficult to achieve. Here, we carry out such a comparison by building a set of compartmental metapopulation models from an agent-based representation of a real population. By adjusting the compartmental model to approximately match the dynamics of the agent-based model, we identify two key qualitative properties of the individual-based dynamics which are lost upon aggregation into metapopulations. These are (i) the local depletion of susceptibility to infection and (ii) decoupling of different regional groups due to correlation between commuting behaviours and contact rates. The first of these effects is a general consequence of aggregating small, closely connected groups (i.e. families) into larger homogeneous metapopulations. The second can be interpreted as a consequence of aggregating two distinct types of individuals: school children, who travel short distances but have many potentially infectious contacts, and adults, who travel further but tend to have fewer contacts capable of transmitting infection. Our results could be generalized to other types of correlations between the characteristics of individuals and the behaviours that distinguish them.
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