ArticleProceedings of the National Academy of Sciences of the United States of America2018
Disease outbreak thresholds emerge from interactions between movement behavior, landscape structure, and epidemiology.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Species-specific barriers restrict virus spillover potential across the Caenorhabditis genus.PLoS biology · 2026Article
- A tale of two management programs: Insights from a state-line wildlife disease outbreak.PNAS nexus · 2025Article
- Wild canids and felids differ in their reliance on reused travel routeways.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Predictability of infectious disease outbreak severity: Chikungunya as a case study.Science advances · 2025Article
- Current and Future Projection of Scrub Typhus Risk Related to Land Use Change in China.GeoHealth · 2025Article
- How do non-independent host movements affect spatio-temporal disease dynamics? Partitioning the contributions of spatial overlap and correlated movements to transmission risk.Movement ecology · 2025Article
- Spatial Landscape Structure Influences Cross-Species Transmission in a Rabies-like Virus Model.Microorganisms · 2025Article
- Artificial Attractants: Implications for Disease Management in Deer.Ecology and evolution · 2025Article
- Landscape-scale drivers of spatial dynamics and genetic diversity in an emerging wildlife pathogen.Oecologia · 2024Article
- The influence of social and spatial processes on the epidemiology of environmentally transmitted pathogens in wildlife: implications for management.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Interacting particle models on the impact of spatially heterogeneous human behavioral factors on dynamics of infectious diseases.PLoS computational biology · 2024Article
- Caterpillar movement mediates spatially local interactions and determines the relationship between population density and contact.Movement ecology · 2024Article
- Mpox: An Overview of Pathogenesis, Diagnosis, and Public Health Implications.Journal of clinical medicine · 2024Review
- Novel pathogen introduction triggers rapid evolution in animal social movement strategies.eLife · 2023Article
- Impact of host age on viral and bacterial communities in a waterbird population.The ISME journal · 2023Article
- Pathogen reduction of monkeypox virus in plasma and whole blood using riboflavin and UV light.PloS one · 2023Article
- Accounting for animal movement improves vaccination strategies against wildlife disease in heterogeneous landscapes.Ecological applications : a publication of the Ecological Society of America · 2022Article
- Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.PLoS computational biology · 2021Article
- The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions.Oecologia · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disease models have provided conflicting evidence as to whether spatial heterogeneity promotes or impedes pathogen persistence. Moreover, there has been limited theoretical investigation into how animal movement behavior interacts with the spatial organization of resources (e.g., clustered, random, uniform) across a landscape to affect infectious disease dynamics. Importantly, spatial heterogeneity of resources can sometimes lead to nonlinear or counterintuitive outcomes depending on the host and pathogen system. There is a clear need to develop a general theoretical framework that could be used to create testable predictions for specific host-pathogen systems. Here, we develop an individual-based model integrated with movement ecology approaches to investigate how host movement behaviors interact with landscape heterogeneity (in the form of various levels of resource abundance and clustering) to affect pathogen dynamics. For most of the parameter space, our results support the counterintuitive idea that fragmentation promotes pathogen persistence, but this finding was largely dependent on perceptual range of the host, conspecific density, and recovery rate. For simulations with high conspecific density, slower recovery rates, and larger perceptual ranges, more complex disease dynamics emerged, and the most fragmented landscapes were not necessarily the most conducive to outbreaks or pathogen persistence. These results point to the importance of interactions between landscape structure, individual movement behavior, and pathogen transmission for predicting and understanding disease dynamics.
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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.