Evidence map›Paper›PMID 37948462›Full record

ArticlePLoS neglected tropical diseases2023

Snakebite epidemiology, outcomes and multi-cluster risk modelling in Eswatini.

Sara Padidar, Ara Monadjem, Thea Litschka-Koen, Brent Thomas, Nondusimo Shongwe, Clare Baker, Lindelwa Mmema, Trevor Sithole, James Murray, Nicholas R Casewell and 5 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The incidence of snakebite in South Africa and the challenges associated with lack of reporting.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
    Article
  6. Observational
  7. Article
  8. A database on the historical and current occurrences of snakes in Eswatini.Database : the journal of biological databases and curation · 2025
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sara PadidarDepartment of Biological Sciences, University of Eswatini, Kwaluseni, Eswatini.ORCID 0000-0003-2769-210X
Ara MonadjemDepartment of Biological Sciences, University of Eswatini, Kwaluseni, Eswatini.
Thea Litschka-KoenEswatini Antivenom Foundation, Simunye, Eswatini.
Brent ThomasCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Nondusimo ShongweEswatini Antivenom Foundation, Simunye, Eswatini.
Clare BakerCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Lindelwa MmemaEswatini Antivenom Foundation, Simunye, Eswatini.
Trevor SitholeResearch Unit, Ministry of Health, Mbabane, Eswatini.
James MurrayEswatini Antivenom Foundation, Simunye, Eswatini.
Nicholas R CasewellCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Jonathan PonsEswatini Antivenom Foundation, Simunye, Eswatini.
David G LallooCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Robert A HarrisonCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Ymkje StienstraCentre for Snakebite Research and Interventions, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Wisdom M DlaminiDepartment of Geography, Environmental Science and Planning, University of Eswatini, Kwaluseni, Eswatini.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundHalving 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

findingsAn 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.

Indexed as

Snake BitesAnimalsAntiveninsEswatiniGlobal HealthHumansSnakesAntivenins

Identifiers

PMID37948462
PMCPMC10664941

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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.