ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Integrating social behaviour, demography and disease dynamics in network models: applications to disease management in declining wildlife populations.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
35 citing papers in PubMed.
- Movement Ecology and Disease Exposure in Free-Roaming Donkeys in California, USA.Animals : an open access journal from MDPI · 2026Article
- Outcomes of Selective Removals for Control of Pneumonia in a Bighorn Sheep Metapopulation.Ecology and evolution · 2025Article
- A Natural Disaster Exacerbates and Redistributes Disease Risk Among Free-Ranging Macaques by Altering Social Structure.Ecology letters · 2025Article
- Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics.Journal of the Royal Society, Interface · 2024Article
- Individual-level patterns of resource selection do not predict hotspots of contact.Movement ecology · 2023Article
- Drivers of longevity of wild-caught Aedes albopictus populations.Parasites & vectors · 2023Article
- Demographic turnover can be a leading driver of hierarchy dynamics, and social inheritance modifies its effects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Multilayer Networks Assisting to Untangle Direct and Indirect Pathogen Transmission in Bats.Microbial ecology · 2023Article
- Group-level differences in social network structure remain repeatable after accounting for environmental drivers.Royal Society open science · 2023Article
- Generation and applications of simulated datasets to integrate social network and demographic analyses.Ecology and evolution · 2023Article
- Oral disease is linked to low nestling condition and brood size in a raptor species living in a highly modified environment.Current zoology · 2023Article
- Sex-biased infections scale to population impacts for an emerging wildlife disease.Proceedings. Biological sciences · 2023Article
- Epidemic Diffusion Network of Spain: A Mobility Model to Characterize the Transmission Routes of Disease.International journal of environmental research and public health · 2023Article
- Strategies for managing marine disease.Ecological applications : a publication of the Ecological Society of America · 2022Article
- Impact of joint interactions with humans and social interactions with conspecifics on the risk of zooanthroponotic outbreaks among wildlife populations.Scientific reports · 2022Article
- Social information use shapes the coevolution of sociality and virulence.Evolution; international journal of organic evolution · 2022Article
- Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles.The Journal of animal ecology · 2022Article
- The Role of Movement Patterns in Epidemic Models on Complex Networks.Bulletin of mathematical biology · 2021Article
- The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions.Oecologia · 2021Article
- Isotopic niche variation in Tasmanian devilsEcology and evolution · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence and spread of infections can contribute to the decline and extinction of populations, particularly in conjunction with anthropogenic environmental change. The importance of heterogeneity in processes of transmission, resistance and tolerance is increasingly well understood in theory, but empirical studies that consider both the demographic and behavioural implications of infection are scarce. Non-random mixing of host individuals can impact the demographic thresholds that determine the amplification or attenuation of disease prevalence. Risk assessment and management of disease in threatened wildlife populations must therefore consider not just host density, but also the social structure of host populations. Here we integrate the most recent developments in epidemiological research from a demographic and social network perspective, and synthesize the latest developments in social network modelling for wildlife disease, to explore their applications to disease management in populations in decline and at risk of extinction. We use simulated examples to support our key points and reveal how disease-management strategies can and should exploit both behavioural and demographic information to prevent or control the spread of disease. Our synthesis highlights the importance of considering the combined impacts of demographic and behavioural processes in epidemics to successful disease management in a conservation context. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.
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