ArticleInterdisciplinary perspectives on infectious diseases2011
Pathogens, social networks, and the paradox of transmission scaling.
Article in Interdisciplinary perspectives on infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Climate-driven changes in zoonotic risk of arenaviral hemorrhagic fevers in South America.Npj viruses · 2026Article
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- Density-dependent network structuring within and across wild animal systems.Nature ecology & evolution · 2025Article
- Quantifying the relationship between within-host dynamics and transmission for viral diseases of livestock.Journal of the Royal Society, Interface · 2024Article
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- Pathogen transmission modes determine contact network structure, altering other pathogen characteristics.Proceedings. Biological sciences · 2022Review
- Shortening Duration of Swine Exhibitions to Reduce Risk for Zoonotic Transmission of Influenza A Virus.Emerging infectious diseases · 2022Article
- Determination of vulnerable regions of SARS-CoV-2 in Malaysia using meteorology and air quality data.Environment, development and sustainability · 2022Article
- Influence of Population Density for COVID-19 Spread in Malaysia: An Ecological Study.International journal of environmental research and public health · 2021Article
- Trip duration drives shift in travel network structure with implications for the predictability of spatial disease spread.PLoS computational biology · 2021Article
- Article
- Optimizing testing for COVID-19 in India.PLoS computational biology · 2021Article
- Forecasting influenza in Europe using a metapopulation model incorporating cross-border commuting and air travel.PLoS computational biology · 2020Article
- Article
- On modelling environmentally transmitted pathogens.Interface focus · 2020Article
- Article
- Ecological and life history traits are associated with Ross River virus infection among sylvatic mammals in Australia.BMC ecology · 2019Article
- Estimating the distance to an epidemic threshold.Journal of the Royal Society, Interface · 2018Article
- Landscape attributes governing local transmission of an endemic zoonosis: Rabies virus in domestic dogs.Molecular ecology · 2018Article
- An Integrated Framework for Process-Driven Model Construction in Disease Ecology and Animal Health.Frontiers in veterinary science · 2017Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the scaling of transmission is critical to predicting how infectious diseases will affect populations of different sizes and densities. The two classic "mean-field" epidemic models-either assuming density-dependent or frequency-dependent transmission-make predictions that are discordant with patterns seen in either within-population dynamics or across-population comparisons. In this paper, we propose that the source of this inconsistency lies in the greatly simplifying "mean-field" assumption of transmission within a fully-mixed population. Mixing in real populations is more accurately represented by a network of contacts, with interactions and infectious contacts confined to the local social neighborhood. We use network models to show that density-dependent transmission on heterogeneous networks often leads to apparent frequency dependency in the scaling of transmission across populations of different sizes. Network-methodology allows us to reconcile seemingly conflicting patterns of within- and across-population epidemiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.