Evidence map›Paper›PMID 38357121›Full record

ArticleAfrican health sciences2023

Spatio-temporal modelling of under-five mortality in Lesotho using demographic and health survey data.

Mthobisi Mxolisi Zondi, Henry G Mwambi, Sileshi Fanta Melesse

Abstract read
In one paragraph

Article in African health sciences, 2023. 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

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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.

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4 · The record

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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

3 authors.

Mthobisi Mxolisi ZondiUniversity of KwaZulu-Natal-School of Mathematics, Statistics and Computer Science, Pietermaritzburg, KwaZulu-Natal, South Africa.
Henry G MwambiUniversity of KwaZulu-Natal-School of Mathematics, Statistics and Computer Science, Pietermaritzburg, KwaZulu-Natal, South Africa.
Sileshi Fanta MelesseUniversity of KwaZulu-Natal-School of Mathematics, Statistics and Computer Science, Pietermaritzburg, KwaZulu-Natal, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lesotho is in the Sustainable Development Goal (SDG) region which aims to reduce the under-five mortality (U5M) to the average of 25 deaths per 1000 live births by the end of 2030 under the sustainable development goals (SDGs) initiative by the United Nations. Methodology: This paper makes use of the Lesotho Demographic and Health Survey (LDHS dataset, which focuses on female reproductive ages 15-49 and male reproductive ages 15-54 The spatio-temporal models were used in this study to investigate how the proposed covariates change over time. Results: The results showed that children who were breastfed had a lower odd of death compared to children who were not breastfed, children from more educated mothers had significantly lower odds of U5M compared to those from less educated mothers. Having a larger number of children under the age of five also contributed significantly to an increased risk of U5M. The likelihood of U5M increased with age. Conclusion: The study recommends that mothers of under-five children be educated about breastfeeding and encouraged to use contraception in order to postpone birth and reduce parity. Rural development should be prioritized through improved primary health care; and public health services should be made more accessible to rural residents.

Indexed as

Child MortalityInfant MortalityChildFemaleHealth SurveysHumansInfantLesothoMalePregnancyRisk FactorsIntegrated Laplace nested approximationLesotho demographic and health survey dataSpatio-temporal modellingunder-five mortality

Identifiers

PMID38357121
PMCPMC10862619

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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.