Evidence map›Paper›PMID 39575101›Full record

ArticleFrontiers in public health2024

Investigating a severe acute malnutrition outbreak in Dubti District, Awsiresu Zone, Afar Region, Northeast Ethiopia (2022).

Abiyie Demelash Gashe, Dawit Zenebe Woldemichael, Fentahun Agegnehu Worku, Kedir Ali Mahmud, Aman Yesuf Endries

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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abiyie Demelash GasheEthiopian Field Epidemiology Training Program, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Dawit Zenebe WoldemichaelDepartment of Epidemiology, Mekelle University, Mekelle, Ethiopia.
Fentahun Agegnehu WorkuAfar Public Health Institute, Samara, Ethiopia.
Kedir Ali MahmudAfar Public Health Institute, Samara, Ethiopia.
Aman Yesuf EndriesDepartment of Epidemiology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ethiopia is a global hotspot for child malnutrition, with an estimated 1.2 million children under five affected by severe acute malnutrition (SAM) in 2022. In response, the country has integrated SAM into its broader disease surveillance system. In January 2022, the Dubti District Health Office in the Afar Region detected an unusual surge in SAM cases through its surveillance system. This study aimed to assess the extent of the outbreak and identify the associated risk factors. Methods: We conducted an unmatched case-control study involving 258 mother-child dyads from five affected kebeles in the Dubti District of the Afar Region Ethiopia. The descriptive study included all 442 SAM cases from the line list, while 86 cases and 168 controls were selected using a simple random sampling method for the analytic study. The data were entered into EpiData software (version 3.1) and analyzed using SPSS software (version 25.0). Binary logistic regression (LR) analysis was performed to identify risk factors for SAM. Statistically, the results were summarized using an adjusted odds ratio (AOR), 95% confidence intervals (CIs), and a Results: The median age of the cases was 22 months, with an interquartile range of 12-34 months. A total of 39 deaths were reported, with a case fatality rate (CFR) of 8.82%. The identified SAM risk factors included households with more than five members (AOR = 3.341, 95% CI: 1.475-7.563), more than five under-five children (AOR = 4.442, 95% CI: 2.000-9.866), lack of vaccination (AOR = 3.641, 95% CI: 1.618-8.198), pneumonia (AOR = 5.61, 95% CI: 2.488-12.651), diarrhea (AOR = 4.68, 95% CI: 2.169-10.097), lack of access to sanitation and hygiene (AOR = 3.18, 95% CI: 1.462-6.934), and household food insecurity (AOR = 9.46, 95% CI: 2.095-42.712). Conclusion: The study revealed a significant outbreak of SAM, with a CFR of 8.82%. The outbreak was associated with factors such as large family sizes, having multiple under-five children, a lack of vaccination, pneumonia, and diarrhea. These findings emphasize the urgent need to safeguard essential child health services, water supply, sanitation and hygiene, and household food security.

Indexed as

Disease OutbreaksSevere Acute MalnutritionAdultCase-Control StudiesChild Nutrition DisordersChild, PreschoolEthiopiaFemaleHumansInfantLogistic ModelsMaleRisk FactorsEthiopiainvestigationmalnutritionoutbreakrisk factorssevere acute malnutrition

Identifiers

PMID39575101
PMCPMC11578949

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