ArticleJournal of the Royal Society, Interface2021
Social structure defines spatial transmission of African swine fever in wild boar.
Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Multi-scale analysis of spatial drivers in wild boar space use at a biweekly scale across landscape patterns and step selection.Movement ecology · 2026Article
- Modelling African Swine Fever Transmission and Epidemiology: A Scoping Review of Mechanistic, Statistical, and Machine Learning Approaches.Tropical medicine and infectious disease · 2026Review
- Risk factors associated with the occurrence of African swine fever in Benin.Tropical animal health and production · 2026Article
- Genetic connectivity and admixture zones shape the spread of African swine fever in wild Boar populations in North-western Italy.Scientific reports · 2025Article
- Estimating Environmental Transmission Risk From Host Movement Data.Ecology and evolution · 2025Article
- Partitioning Social and Spatial Drivers of Infection Risk.Ecology and evolution · 2025Article
- 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
- Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease.Animals : an open access journal from MDPI · 2024Review
- African swine fever in wild boar: investigating model assumptions and structure.Royal Society open science · 2024Article
- Global Basic Reproduction Number of African Swine Fever in Wild Boar and a Mental Model to Explore the Disease Dynamics.Transboundary and emerging diseases · 2024Article
- African swine fever at the wildlife-livestock interface: challenges for management and outbreak response within invasive wild pigs in the United States.Frontiers in veterinary science · 2024Review
- Spatiotemporal Patterns of African Swine Fever in Wild Boar in the Russian Federation (2007-2022): Using Clustering Tools for Revealing High-Risk Areas.Animals : an open access journal from MDPI · 2023Article
- Risk of African swine fever virus transmission among wild boar and domestic pigs in Poland.Frontiers in veterinary science · 2023Article
- First-Passage Time Analysis Based on GPS Data Offers a New Approach to Estimate Restricted Zones for the Management of Infectious Diseases in Wildlife: A Case Study Using the Example of African Swine Fever.Transboundary and emerging diseases · 2023Article
- Dynamics of the African Swine Fever Spread in Poland.Journal of veterinary research · 2022Article
- Evaluation of the Presence of ASFV in Wolf Feces Collected from Areas in Poland with ASFV Persistence.Viruses · 2021Article
- Basic reproduction number of African swine fever in wild boars (Journal of veterinary science · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spatial spread of infectious disease is determined by spatial and social processes such as animal space use and family group structure. Yet, the impacts of social processes on spatial spread remain poorly understood and estimates of spatial transmission kernels (STKs) often exclude social structure. Understanding the impacts of social structure on STKs is important for obtaining robust inferences for policy decisions and optimizing response plans. We fit spatially explicit transmission models with different assumptions about contact structure to African swine fever virus surveillance data from eastern Poland from 2014 to 2015 and evaluated how social structure affected inference of STKs and spatial spread. The model with social structure provided better inference of spatial spread, predicted that approximately 80% of transmission events occurred within family groups, and that transmission was weakly female-biased (other models predicted weakly male-biased transmission). In all models, most transmission events were within 1.5 km, with some rare events at longer distances. Effective reproductive numbers were between 1.1 and 2.5 (maximum values between 4 and 8). Social structure can modify spatial transmission dynamics. Accounting for this additional contact heterogeneity in spatial transmission models could provide more robust inferences of STKs for policy decisions, identify best control targets and improve transparency in model uncertainty.
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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.