Snakebite epidemiology, outcomes and multicluster risk modelling in Eswatini

dc.contributor.authorPadidar, Sara
dc.contributor.authorMonadjem, Ara
dc.contributor.authorLitschka-Koen, Thea
dc.contributor.authorThomas, Brent
dc.contributor.authorShongwe, Nondusimo
dc.contributor.authorBaker, Clare
dc.contributor.authorMmema, Lindelwa
dc.contributor.authorSithole, Trevor
dc.contributor.authorMurray, James
dc.contributor.authorCasewell, Nicholas R.
dc.contributor.authorPons, Jonathan
dc.contributor.authorLalloo, David G.
dc.contributor.authorHarrison, Robert A.
dc.contributor.authorStienstra, Ymkje
dc.contributor.authorDlamini, Wisdom M.
dc.date.accessioned2024-09-17T06:10:59Z
dc.date.available2024-09-17T06:10:59Z
dc.date.issued2023-11-10
dc.descriptionDATA AVAILABILITY STATEMENT : The data that supports the findings of this study are held at Harvard Dataverse https://DOI.org/10.7910/DVN/DQ7MDB.en_US
dc.descriptionSUPPORTING INFORMATION : FIGURE S1. Average temperature and rainfall for each region of Eswatini during October 2019 to September 2019 (data from Eswatini Meteorological Service). Made with Natural Earth. Free vector and raster map data @naturalearthdata.com. FIGURE S2. Time patients bitten by snakebite, between October 2019 to September 2021, in Eswatini. FIGURE S3. Types of adverse reactions to polyvalent snake antivenom recorded from 70 patients. FIGURE S4. Venomous snake species richness in Eswatini. Made with shape files from the Eswatini Central Statistics Office (with permission). TABLE S1. Datasets used in the snakebite risk analysis. TABLE S2. First aid snakebite management implemented by patients.en_US
dc.description.abstractBACKGROUND Halving snakebite morbidity and mortality by 2030 requires countries to develop both prevention and treatment strategies. The paucity of data on the global incidence and severity of snakebite envenoming causes challenges in prioritizing and mobilising resources for snakebite prevention and treatment. In line with the World Health Organisation’s 2019 Snakebite Strategy, this study sought to investigate Eswatini’s snakebite epidemiology and outcomes, and identify the socio-geographical factors associated with snakebite risk. METHODOLOGY Programmatic data from the Ministry of Health, Government of Eswatini 2019–2021, was used to assess the epidemiology and outcomes of snakebite in Eswatini. We developed a snake species richness map from the occurrence data of all venomous snakes of medical importance in Eswatini that was subjected to niche modelling. We formulated four risk indices using snake species richness, various geospatial datasets and reported snakebites. A multivariate cluster modelling approach using these indices was developed to estimate risk of snakebite and the outcomes of snakebite in Eswatini. PRINCIPAL FINDINGS An average of 466 snakebites was recorded annually in Eswatini. Bites were recorded across the entire country and peaked in the evening during summer months. Two cluster risk maps indicated areas of the country with a high probability of snakebite and a high probability of poor snakebite outcomes. The areas with the highest rate of snakebite risk were primarily in the rural and agricultural regions of the country. SIGNIFICANCE These models can be used to inform better snakebite prevention and treatment measures to enable Eswatini to meet the global goal of reducing snakebite morbidity and mortality by 50% by 2030. The supply chain challenges of antivenom affecting southern Africa and the high rates of snakebite identified in our study highlight the need for improved snakebite prevention and treatment tools that can be employed by health care workers stationed at rural, community clinics.en_US
dc.description.departmentMammal Research Instituteen_US
dc.description.departmentZoology and Entomologyen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sponsorshipThe Wellcome Trust.en_US
dc.description.urihttps://journals.plos.org/plosntds/en_US
dc.identifier.citationPadidar, S., Monadjem, A., Litschka-Koen, T., Thomas, B., Shongwe, N., Baker, C., et al. (2023) Snakebite epidemiology, outcomes and multicluster risk modelling in Eswatini. PLoS Neglected Tropical Diseases 17(11): e0011732. https://DOI.org/10.1371/journal.pntd.0011732.en_US
dc.identifier.issn1935-2727 (print)
dc.identifier.issn1935-2735(online)
dc.identifier.other10.1371/journal.pntd.0011732
dc.identifier.urihttp://hdl.handle.net/2263/98241
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2023 Padidar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.en_US
dc.subjectSnakebiteen_US
dc.subjectMorbidityen_US
dc.subjectMortalityen_US
dc.subjectRisken_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleSnakebite epidemiology, outcomes and multicluster risk modelling in Eswatinien_US
dc.typeArticleen_US

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