Evidence map›Paper›PMID 41237105›Full record

ArticlePloS one2025

Coverage and determinants of deworming uptake among under-five children in Somalia: A multilevel analysis of the 2020 SDHS data.

Abdirahman Omer Ali, Awo Mohamed Kahie, Muhyadin Yusuf Dahir, Suhaib Mohamed Kahie, Abdisalam Mahdi Hassan, Md Moyazzem Hossain

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Abdirahman Omer AliAmoud University College of Health Science, School of Medicine, Borama, Somalia.ORCID https://orcid.org/0009-0000-7206-8758
Awo Mohamed KahieAmoud University College of Health Science, School of Medicine, Borama, Somalia.
Muhyadin Yusuf DahirSchool of Postgraduate Studies and Research, Amoud University, Borama, Somalia.
Suhaib Mohamed KahieOffice of Community Services, Amoud University, Borama, Somalia.
Abdisalam Mahdi HassanAmoud University College of Health Science, School of Medicine, Borama, Somalia.
Md Moyazzem HossainDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-3593-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoil-transmitted helminth (STH) infections are a major public health concern in Somalia, particularly affecting the health and development of children under five. Therefore, this study aimed to assess the coverage of deworming uptake and identify associated multilevel factors with deworming uptake among Somali children aged 12-59 months using a Multilevel logistic regression model.

methodsThis study analyzed data of 15,074 children aged 12-59 months from the 2020 Somalia Demographic and Health Survey (SDHS). Chi-square test and multilevel logistic regression were used to examine individual (maternal/child characteristics, health service use) and community (residence, region) factors associated with non-receipt of deworming medication (poor uptake).

resultsOnly 8.0% of children had received deworming medication, indicating critically low national coverage. The variations of poor deworming uptake among children of different ages in months were 92.91% between 12-15 months, 91.75% between 16-19 months, and 91.26% between 20-59 months. Poor deworming uptake was varied among maternal age groups, with rates of 92.10% (15-24 years), 91.89% (25-34 years), and 91.60% (35-49 years). Findings depict that significant regional variations existed. Better uptake was associated with higher maternal age and education, greater wealth, maternal employment, health facility delivery, and urban/nomadic residence (vs. rural). Residing in urban (AOR: 0.65; 95% CI: 0.51, 0.82, p < 0.05) or nomadic areas (AOR: 0.40; 95% CI: 0.32, 0.49, p < 0.05) was significantly associated with lower odds of poor uptake compared to rural areas. Unexpectedly, children without recent episodes of diarrhea had significantly higher odds of not receiving deworming treatment (AOR = 6.26).

conclusionLow deworming coverage among under-5 children in Somalia is observed. Factors include higher maternal education, greater wealth, health facility delivery, urban or nomadic residence compared to rural, and older child age are significantly associated with deworming coverage. To improve the deworming coverage, organizing school-based campaigns and deploying mobile health teams for door-to-door visits in remote areas may be useful.

Indexed as

AnthelminticsHelminthiasisAdolescentAdultChild, PreschoolFemaleHealth SurveysHumansInfantMaleMultilevel AnalysisSomaliaYoung AdultAnthelmintics

Identifiers

PMID41237105
PMCPMC12617879

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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.