Evidence map›Paper›PMID 35270357›Full record

ArticleInternational journal of environmental research and public health2022

Applying a WASH Risk Assessment Tool in a Rural South African Setting to Identify Risks and Opportunities for Climate Resilient Communities.

Thandi Kapwata, Zamantimande Kunene, Bianca Wernecke, Samantha Lange, Guy Howard, Anisha Nijhawan, Caradee Y Wright

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

7 authors at 3 institutions in 2 countries.

Thandi KapwataEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg 2094, South Africa.ORCID 0000-0003-2518-6764
Zamantimande KuneneEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg 2094, South Africa.
Bianca WerneckeEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg 2094, South Africa.ORCID 0000-0001-5464-7158
Samantha LangeWater and Health Research Centre, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa.
Guy HowardDepartment of Civil Engineering, Cabot Institute, University of Bristol, Bristol BS8 1TU, UK.ORCID 0000-0002-1848-9807
Anisha NijhawanDepartment of Civil Engineering, University of Bristol, Bristol BS8 1TU, UK.ORCID 0000-0003-0317-7306
Caradee Y WrightEnvironment and Health Research Unit, South African Medical Research Council, Pretoria 0001, South Africa.ORCID 0000-0001-9608-818X
South African Medical Research Council · ZAUniversity of Bristol · GBUniversity of Johannesburg · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change threatens the health and well-being of populations. We conducted a risk assessment of two climate-related variables (i.e., temperature and rainfall) and associated water, sanitation and hygiene (WASH)-related exposures and vulnerabilities for people living in Mopani District, Limpopo province, South Africa. Primary and secondary data were applied in a qualitative and quantitative assessment to generate classifications of risk (i.e., low, medium, or high) for components of hazard/threat, human exposure, and human vulnerability. Climate-related threats were likely to impact human health due to the relatively high risk of waterborne diseases and WASH-associated pathogens. Vulnerabilities that increased the susceptibility of the population to these adverse outcomes included environmental, human, physical infrastructure, and political and institutional elements. People of low socio-economic status were found to be least likely to cope with changes in these hazards. By identifying and assessing the risk to sanitation services and water supply, evidence exists to inform actions of government and WASH sector partners. This evidence should also be used to guide disaster risk reduction, and climate change and human health adaptation planning.

Indexed as

SanitationWaterHumansHygieneRisk AssessmentSouth AfricaWater SupplyWaterclimate changeenvironmental healthpathogenssanitation servicessustainable developmentwater supply

Identifiers

PMID35270357
PMCPMC8909929
OpenAlexW4214723262

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.