Evidence map›Paper›PMID 39512859›Full record

ArticleJamba (Potchefstroom, South Africa)2024

Disaster risk from diarrhoeal diseases and WASH in South Africa and Botswana in MDG time.

Roman Tandlich, Hallo Angala, Eunice P Vhiriri, Koketso Moropa, Nosiphiwe P Ngqwala, Bongumusa M Zuma

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Oral Health and Climate Change: Working Toward Adaptive Strategies to the Changing Environment.Journal of International Society of Preventive & Community Dentistry
    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

6 authors.

Roman TandlichDisaster Management and Ethics Research Group, Faculty of Pharmacy, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0000-0002-9696-0473
Hallo AngalaDisaster Management and Ethics Research Group, Faculty of Pharmacy, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0000-0002-6587-3561
Eunice P VhiririDisaster Management and Ethics Research Group, Faculty of Pharmacy, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0000-0003-4888-0150
Koketso MoropaDisaster Management and Ethics Research Group, Faculty of Pharmacy, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0009-0002-4714-8216
Nosiphiwe P NgqwalaDisaster Management and Ethics Research Group, Faculty of Pharmacy, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0000-0002-8842-0717
Bongumusa M ZumaBiotechnology Innovation Centre, Faculty of Science, Rhodes University, Makhanda, South Africa.ORCID https://orcid.org/0009-0009-2361-8675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

South Africa and Botswana are middle-income countries in the southern part of the African continent. They are also the two of the most developed countries in the region, where socio-economic situation is better than in many other parts of the African continent. The progression of the Millennium Development Goals (MDGs) in these two countries can be seen as the setting stage for the disaster risk management understanding in the African region in the 21st century. This is done in this article for disaster risk management and waterborne diseases or water, sanitation, and hygiene (WASH) conditions in Botswana and South Africa. The authors used an open-source on the mortality in children under 5 to develop a proxy indicator for disaster risk from WASH. This dependent variable is correlated with the access to improved water and sanitation sources or facilities, and the expected lifespan at birth of the South African population. The latter indicators are used as independent variables in correlations, and they are seen as expressions of vulnerability determinants in the WASH context in South Africa and Botswana. Results indicate that the strongest prevention of the death rates from the WASH-related diseases comes from the overall status of the healthcare system in Botswana and South Africa. Socio-economic parameter played limited to no role in the determination of the diarrhoeal disease disaster risk in both the studied countries. Contribution: Access to improved drinking water sources and improved sanitation facilities played a partial role as a controlling factor in determining the WASH-related death rates. The overall functioning of the healthcare system is the most dominant factor in the disaster risk from WASH in South Africa and Botswana.

Indexed as

accessdiarrhoeal diseasesimproved sanitationimproved watersocio-economic vulnerabilityWASH vulnerability

Identifiers

PMID39512859
PMCPMC11538464

What OpenQuestion holds

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LicenceCC BY
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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.