The DOI matches its Crossref record.
Snake Envenoming: A Disease of Poverty
Open accessAbstract
BACKGROUND: Most epidemiological and clinical reports on snake envenoming focus on a single country and describe rural communities as being at greatest risk. Reports linking snakebite vulnerability to socioeconomic status are usually limited to anecdotal statements. The few reports with a global perspective have identified the tropical regions of Asia and Africa as suffering the highest levels of snakebite-induced mortality. Our analysis examined the association between globally available data on snakebite-induced mortality and socioeconomic indicators of poverty. METHODOLOGY/PRINCIPAL FINDINGS: We acquired data on (i) the Human Development Index, (ii) the Per Capita Government Expenditure on Health, (iii) the Percentage Labour Force in Agriculture and (iv) Gross Domestic Product Per Capita from publicly available databases on the 138 countries for which snakebite-induced mortality rates have recently been estimated. The socioeconomic datasets were then plotted against the snakebite-induced mortality estimates (where both datasets were available) and the relationship determined. Each analysis illustrated a strong association between snakebite-induced mortality and poverty. CONCLUSIONS/SIGNIFICANCE: This study, the first of its kind, unequivocally demonstrates that snake envenoming is a disease of the poor. The negative association between snakebite deaths and government expenditure on health confirms that the burden of mortality is highest in those countries least able to deal with the considerable financial cost of snakebite.
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
Cited by
Gutiérrez, J. M., Calvete, J. J., Habib, A. G., Harrison, R. A., Williams, D. J., & Warrell, D. A. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.63 · Cited by 955
Self-citationWilliams, D. J., Faiz, M. A., Abela-Ridder, B., Ainsworth, S., Bulfone, T. C., Nickerson, A. D., Habib, A. G., Junghanss, T., Fan, H. W., Turner, M., et al. (2019) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0007059 · Cited by 447
Self-citationCasewell, N. R., Wagstaff, S. C., Wüster, W., Cook, D. A. N., Bolton, F. M. S., King, S. I., Pla, D., Sanz, L., Calvete, J. J., & Harrison, R. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405484111 · Cited by 317
Self-citationSantana, H. M., Farias, B. J. C., Silva, M. D. S., da Silva, C. P., Eulálio, M. D. M. C., Ferreira e Ferreira, A. A., dos Reis, V. P., Ikenohuchi, Y. J., Paloschi, M. V., de Lima, A. M., et al. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116220 · Cited by 2
Campos Farias, B. J., Makoto Kayano, A., Barros Luiz, M., Maciel DE Lima, A., Suelen da Silva Morais, M., Moreira Mendes, L., Mota Santana, H., Reis Prado, N. D., Andrade Roberto, S., Martins Soares, A., et al. (2024) · Toxicon · doi:10.1016/j.toxicon.2024.107837 · Cited by 1
Metadata
- Authors
- Harrison, R. A., Hargreaves, A., Wagstaff, S. C., Faragher, B., & Lalloo, D. G.
- Venue
- PLoS Neglected Tropical Diseases
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-12-22
- Volume
- 3
- Issue
- 12
- Pages
- e569
- ISSN
- 1935-2727 (ISSN-L)
- 1935-2735
- OpenAlex
- W2163754385
- Cited by
- 618
- References
- 0
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- gold
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: Snake Envenoming: A Disease of Poverty. https://app.cochat.ai/papers/10.1371/journal.pntd.0000569
- The paper
- Harrison, R. A., Hargreaves, A., Wagstaff, S. C., Faragher, B., & Lalloo, D. G. (2009). Snake Envenoming: A Disease of Poverty. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0000569
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.