ArticleJournal of the Royal Society, Interface2022
Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar.
Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Sociodemographic characteristics predict land use patterns by farmers near a protected area in Madagascar.Scientific reports · 2026Article
- Spreading potential in disease relevant networks: Predicting centralities in rural Northeast Madagascar.PLOS global public health · 2026Article
- Identifying Social-Epidemiological Roles Associated with Viral Exposure Using Regular Equivalence Blockmodeling.medRxiv : the preprint server for health sciences · 2025Article
- The spatial distribution of pertussis, but not measles or smallpox, in pre-industrial Finland matches dialects.iScience · 2025Article
- One Health Disparities and Blastocystis infection among smallholder farmers in northeastern Madagascar.PLOS global public health · 2025Article
- Disentangling social, environmental, and zoonotic transmission pathways of a gastrointestinal protozoan (Blastocystis spp.) in northeast Madagascar.American journal of biological anthropology · 2024Article
- How market integration impacts human disease ecology.Evolution, medicine, and public health · 2024Article
- HIARA study protocol: impacts of artificial coral reef development on fisheries, human livelihoods and health in southwestern Madagascar.Frontiers in public health · 2024Article
- Sociodemographic Variables Can Guide Prioritized Testing Strategies for Epidemic Control in Resource-Limited Contexts.The Journal of infectious diseases · 2023Article
- Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission.The ISME journal · 2023Article
- Deriving spatially explicit direct and indirect interaction networks from animal movement data.Ecology and evolution · 2023Article
- Article
- Addressing the socioeconomic divide in computational modeling for infectious diseases.Nature communications · 2022Article
- Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar.Journal of the Royal Society, Interface · 2022Article
Corrections and comments
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Authors and funding
14 authors at 8 institutions in 5 countries.
Funding
Abstract
Social and spatial network analysis is an important approach for investigating infectious disease transmission, especially for pathogens transmitted directly between individuals or via environmental reservoirs. Given the diversity of ways to construct networks, however, it remains unclear how well networks constructed from different data types effectively capture transmission potential. We used empirical networks from a population in rural Madagascar to compare social network survey and spatial data-based networks of the same individuals. Close contact and environmental pathogen transmission pathways were modelled with the spatial data. We found that naming social partners during the surveys predicted higher close-contact rates and the proportion of environmental overlap on the spatial data-based networks. The spatial networks captured many strong and weak connections that were missed using social network surveys alone. Across networks, we found weak correlations among centrality measures (a proxy for superspreading potential). We conclude that social network surveys provide important scaffolding for understanding disease transmission pathways but miss contact-specific heterogeneities revealed by spatial data. Our analyses also highlight that the superspreading potential of individuals may vary across transmission modes. We provide detailed methods to construct networks for close-contact transmission pathogens when not all individuals simultaneously wear GPS trackers.
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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.