ArticleBioscience2017
Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management.
Article in Bioscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
49 citing papers in PubMed.
- Beyond the triad: why ecological theory must anchor One Health.One health (Amsterdam, Netherlands) · 2026Article
- Shedding-weighted network approaches for understanding tuberculosis maintenance in multihost systems using camera traps.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Intraspecific Contact Among White-Tailed Deer: A Literature Review and Chronic Wasting Disease Case Study.Ecology and evolution · 2026Review
- Partitioning Social and Spatial Drivers of Infection Risk.Ecology and evolution · 2025Article
- High-throughput microfluidic real-time PCR as a promising tool in disease ecology.The Journal of animal ecology · 2025Article
- Group traits moderate the relationship between individual social traits and fitness in gorillas.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Animal social networks are robust to changing association definitions.Behavioral ecology and sociobiology · 2025Article
- The final frontier: using carcasses for one health surveillance at the ecosystem interface.Frontiers in veterinary science · 2025Article
- Not so social in old age: demography as one driver of decreasing sociality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Social interactions do not affect mycoplasma infection in griffon vultures.Royal Society open science · 2024Article
- Bridging the Gap: Integrating Knowledge from the Study of Social Network Analysis and Infectious Disease Dynamics in Human and Nonhuman Primates.Annual review of anthropology · 2024Article
- A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data.Movement ecology · 2024Article
- Estimating pathogen-spillover risk using host-ectoparasite interactions.Ecology and evolution · 2024Article
- A scoping review on bovine tuberculosis highlights the need for novel data streams and analytical approaches to curb zoonotic diseases.Veterinary research · 2024Article
- Structural network characteristics affect epidemic severity and prediction in social contact networks.Infectious Disease Modelling · 2024Article
- Food availability leads to more connected contact networks among peridomestic zoonotic reservoir hosts.Royal Society open science · 2023Article
- An analysis of the spatio-temporal behavior of COVID-19 patients using activity trajectory data.Heliyon · 2023Article
- The spectral underpinnings of pathogen spread on animal networks.Proceedings. Biological sciences · 2023Article
- Article
- Predicting Suitable Areas for African Swine Fever Outbreaks in Wild Boars in South Korea and Their Implications for Managing High-Risk Pig Farms.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contact networks, behavioral interactions, and shared use of space can all have important implications for the spread of disease in animals. Social networks enable the quantification of complex patterns of interactions; therefore, network analysis is becoming increasingly widespread in the study of infectious disease in animals, including wildlife. We present an introductory guide to using social-network-analytical approaches in wildlife disease ecology, epidemiology, and management. We focus on providing detailed practical guidance for the use of basic descriptive network measures by suggesting the research questions to which each technique is best suited and detailing the software available for each. We also discuss how using network approaches can be used beyond the study of social contacts and across a range of spatial and temporal scales. Finally, we integrate these approaches to examine how network analysis can be used to inform the implementation and monitoring of effective disease management strategies.
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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.