The effects of local spatial structure on epidemiological invasions
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Predicting the likely success of invasions is vitally important in ecology and especially epidemiology. Whether an organism can successfully invade and persist in the short-term is highly dependent on the spatial correlations that develop in the early stages of invasion. By modelling the correlations between individuals, we are able to understand the role of spatial heterogeneity in invasion dynamics without the need for large-scale computer simulations. Here, a natural methodology is developed for modelling the behaviour of individuals in a fixed network. This formulation is applied to the spread of a disease through a structured network to determine invasion thresholds and some statistical properties of a single epidemic.
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When a population is organized in assortative sociality, the capacity of epidemics to spread is reduced.
“When a population is organised in this fashion the capacity of epidemics to spread is reduced (Keeling 1999; Salathe ´ & Jones 2010).”
From Parasite-stress promotes in-group assortative sociality: The cases of strong family ties and heightened religiosity (2012) · cites this paper as Keeling 1999
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- Authors
- Keeling, M. J.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Keeling, M. J.
- ORCID
- Keeling, M. J.
- Venue
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 1999-04-22
- Volume
- 266
- Issue
- 1421
- Pages
- 859-867
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- PMC
- PMC1689913
- OpenAlex
- W2030540141
- Cited by
- 798
- References
- 28
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 19 · 2023: 30 · 2022: 23 · 2021: 36 · 2020: 33 · 2019: 30 · 2018: 44 · 2017: 46 · 2016: 35 · 2015: 47 · 2014: 37 · 2013: 41 · 2012: 38
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- invasion threshold, spatial structure, spatial heterogeneity, epidemic spread, structured networks, disease transmission, agent-based modeling, spatial correlation, epidemic persistence
- MeSH terms
- Communicable Disease Control, Communicable Diseases, Disease Outbreaks, Ecology, Epidemiology, Humans, Models, Biological, Vaccination
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