Evidence map›Paper›PMID 38362375›Full record

ReviewEnvironmental health insights2024

WASH Levels and Associated Human Health Risks in War-Prone West African Countries: A Global Indicators Study (2015 to 2021).

Michael Aboah

Abstract readReview
In one paragraph

Review in Environmental health insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. 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

1 author.

Michael AboahDepartment of Environmental Science, School of Biological Sciences, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water, Sanitation and Hygiene (WASH) levels have been shown to have impacts on health. However, the knowledge of WASH levels in war-prone West African countries is limited. The study extracted data (2015-2021) from the Joint Monitoring Programme (WHO/UNICEF), World Bank and Demographic and Health Surveys (DHS) to estimate WASH levels in the study countries. Pearson correlation analysis was used to establish the association among the WASH levels. Results showed that women had better access to safe water (56.39%), good sanitation (59.36%) and good hygiene (60.23%) compared to men. The urban population had better access to safe water (57.60%), good sanitation (61.23%), and good hygiene (65.65%) than the rural population. Among the countries under study, Nigeria had the highest access to safe water (36.10%) and good sanitation (24.41%), while Mali had the highest access to good hygiene (27.93%). Pearson correlation analysis showed a strong positive association between safe water and good hygiene (

Indexed as

Conflicthealthhygienesanitationwarwater and war-prone West Africa

Identifiers

PMID38362375
PMCPMC10868510

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.