Evidence map›Paper›PMID 33577579›Full record

ArticlePLoS neglected tropical diseases2021

Novel transdisciplinary methodology for cross-sectional analysis of snakebite epidemiology at national scale.

Gabriel Alcoba, Carlos Ochoa, Sara Babo Martins, Rafael Ruiz de Castañeda, Isabelle Bolon, Franck Wanda, Eric Comte, Manish Subedi, Bhupendra Shah, Anup Ghimire and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

16 authors at 4 institutions in 3 countries.

Gabriel AlcobaDivision of Tropical and Humanitarian Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland.ORCID 0000-0002-9423-1533
Carlos OchoaInstitute of Global Health (IGH), Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-4841-9615
Sara Babo MartinsInstitute of Global Health (IGH), Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-3466-2390
Rafael Ruiz de CastañedaInstitute of Global Health (IGH), Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-2287-0985
Isabelle BolonInstitute of Global Health (IGH), Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-5940-2731
Franck WandaCentre International de Recherche, d'Enseignement et de Soins en Milieu Tropical (CIRES), Akonolinga, Cameroon.
Eric ComteCentre International de Recherche, d'Enseignement et de Soins en Milieu Tropical (CIRES), Akonolinga, Cameroon.
Manish SubediB.P. Koirala Institute of Health Sciences (BPKIHS), Dharan, Nepal.ORCID 0000-0002-3874-1117
Bhupendra ShahB.P. Koirala Institute of Health Sciences (BPKIHS), Dharan, Nepal.ORCID 0000-0003-4370-0464
Anup GhimireB.P. Koirala Institute of Health Sciences (BPKIHS), Dharan, Nepal.ORCID 0000-0001-8457-2599
Etienne GignouxEpicentre, Médecins Sans Frontières, Geneva, Switzerland/ Paris, France.
Francisco LuqueroEpicentre, Médecins Sans Frontières, Geneva, Switzerland/ Paris, France.
Armand Seraphin NkwescheuCameroon Society of Epidemiology (CaSE), and Faculty of Medicine and Biomedical Science, University of Yaoundé 1, Yaoundé, Cameroon.ORCID 0000-0002-9680-5203
Sanjib Kumar SharmaB.P. Koirala Institute of Health Sciences (BPKIHS), Dharan, Nepal.
François ChappuisDivision of Tropical and Humanitarian Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland.
Nicolas RayInstitute of Global Health (IGH), Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-4696-5313
University of Geneva · CHB.P. Koirala Institute of Health Sciences · NPInternational Institute of Tropical Agriculture · CMMédecins Sans Frontières · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, it is estimated that snakes bite 4.5-5.4 million people annually, 2.7 million of which are envenomed, and 81,000-138,000 die. The World Health Organization reported these estimates and recognized the scarcity of large-scale, community-based, epidemiological data. In this context, we developed the "Snake-Byte" project that aims at (i) quantifying and mapping the impact of snakebite on human and animal health, and on livelihoods, (ii) developing predictive models for medical, ecological and economic indicators, and (iii) analyzing geographic accessibility to healthcare. This paper exclusively describes the methodology we developed to collect large-scale primary data on snakebite in humans and animals in two hyper-endemic countries, Cameroon and Nepal. METHODOLOGY/PRINCIPAL

findingsWe compared available methods on snakebite epidemiology and on multi-cluster survey development. Then, in line with those findings, we developed an original study methodology based on a multi-cluster random survey, enhanced by geospatial, One Health, and health economics components. Using a minimum hypothesized snakebite national incidence of 100/100,000/year and optimizing design effect, confidence level, and non-response margin, we calculated a sample of 61,000 people per country. This represented 11,700 households in Cameroon and 13,800 in Nepal. The random selection with probability proportional to size generated 250 clusters from all Cameroonian regions and all Nepalese Terai districts. Our household selection methodology combined spatial randomization and selection via high-resolution satellite images. After ethical approval in Switerland (CCER), Nepal (BPKIHS), and Cameroon (CNERSH), and informed written consent, our e-questionnaires included geolocated baseline demographic and socio-economic characteristics, snakebite clinical features and outcomes, healthcare expenditure, animal ownership, animal outcomes, snake identification, and service accessibility. CONCLUSIONS/SIGNIFICANCE: This novel transdisciplinary survey methodology was subsequently used to collect countrywide snakebite envenoming data in Nepal and Cameroon. District-level incidence data should help health authorities to channel antivenom and healthcare allocation. This methodology, or parts thereof, could be easily adapted to other countries and to other Neglected Tropical Diseases.

Indexed as

Family CharacteristicsIntersectoral CollaborationCameroonCross-Sectional StudiesHumansNepalPatient Acceptance of Health CareSnake BitesSurveys and Questionnaires

Identifiers

PMID33577579
PMCPMC7906452
OpenAlexW3128934373

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.