The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Who infects whom? Social networks and tuberculosis transmission in wild meerkats
Open accessAbstract
Transmission of infectious diseases is strongly influenced by who contacts whom. Despite the global distribution of tuberculosis (TB) in free-living wild mammal populations, little is known of the mechanisms of social transmission of Mycobacterium bovis between individuals. Here, I use a network approach to examine for correlations between five distinct types of intra- and intergroup social interaction and changes in TB status of 110 wild meerkats ( Suricata suricatta ) in five social groups over two years. Contrary to predictions, the most socially interactive animals were not at highest risk of acquiring infection, indicating that in addition to contact frequency, the type and direction of interactions must be considered when quantifying disease risk. Within social groups, meerkats that groomed others most were more likely to become infected than individuals who received high levels of grooming. Conversely, receiving, but not initiating, aggression was associated with M. bovis infection. Incidence of intergroup roving by male meerkats was correlated with the rovers themselves subsequently testing TB-positive, suggesting a possible route for transmission of infection between social groups. Exposure time was less important than these social interactions in influencing TB risk. This study represents a novel application of social network analysis using empirical data to elucidate the role of specific interactions in the transmission of an infectious disease in a free-living wild animal population.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Social Network Analysis: Methods and Applications
Wasserman, S. S., & Faust, K. (1994) · Cited by 17,962
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Introduction to Social Network Methods
Hanneman, R. A. (2001) · Cited by 3,889
Borgatti, S. P. (2005) · Social Networks · doi:10.1016/j.socnet.2004.11.008 · Cited by 3,191
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
Borgatti, S. P. (2005) · Cited by 1,734
Centrality in valued graphs: A measure of betweenness based on network flow
Freeman, L. C., Borgatti, S. P., & White, D. R. (1991) · Social Networks · doi:10.1016/0378-8733(91)90017-n · Cited by 1,060
Social Organization and Parasite Risk in Mammals: Integrating Theory and Empirical Studies
Altizer, S., Nunn, C. L., Thrall, P. H., Gittleman, J. L., Antonovics, J., Cunningham, A. A., Dobson, A. P., Ezenwa, V., Jones, K. E., Pedersen, A. B., et al. (2003) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.34.030102.151725 · Cited by 770
Cooperation, Control, and Concession in Meerkat Groups
Clutton-Brock, T. H., Brotherton, P. N. M., Russell, A. F., O'Riain, M. J., Gaynor, D., Kansky, R., Griffin, A., Manser, M., Sharpe, L., McIlrath, G. M., et al. (2001) · Science · doi:10.1126/science.291.5503.478 · Cited by 391
Stress and the suppression of subordinate reproduction in cooperatively breeding meerkats
Young, A. J., Carlson, A. A., Monfort, S. L., Russell, A. F., Bennett, N. C., & Clutton-Brock, T. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510038103 · Cited by 356
Cited by
Wildlife diseases: from individuals to ecosystems: Ecology of wildlife diseases
Tompkins, D. M., Dunn, A. M., Smith, M. J., & Telfer, S. (2011) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2010.01742.x · Cited by 448
Monkeys in the Middle: Parasite Transmission through the Social Network of a Wild Primate
MacIntosh, A. J. J., Jacobs, A., Garcia, C., Shimizu, K., Mouri, K., Huffman, M. A., & Hernandez, A. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051144 · Cited by 216
Social network analysis of wild chimpanzees provides insights for predicting infectious disease risk
Rushmore, J., Caillaud, D., Matamba, L., Stumpf, R. M., Borgatti, S. P., & Altizer, S. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12088 · Cited by 131
Metadata
- Authors
- Drewe, J. A.
- Venue
- Proceedings of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2009-11-04
- Volume
- 277
- Issue
- 1681
- Pages
- 633-642
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- OpenAlex
- W2133700978
- Cited by
- 264
- References
- 38
- FWCI
- 6.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Who infects whom? Social networks and tuberculosis transmission in wild meerkats. https://app.cochat.ai/papers/10.1098/rspb.2009.1775
- The paper
- Drewe, J. A. (2010). Who infects whom? Social networks and tuberculosis transmission in wild meerkats. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2009.1775
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.