Evidence map›Paper›PMID 41781969›Full record

ArticleMalaria journal2026

Socioeconomic determinants and maternal malaria: impact on neonatal parasitemia in Osun State, Southwest, Nigeria.

S A Odediji, L O Busari, A O Olawuyi, K O Amoo, B O Amoo-Adeboye, O A Surakat, M A Adeleke

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Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

S A OdedijiDepartment of Medical Microbiology and Parasitology, Federal University of Health Science Ila-Orangun, Ila-Oragun, Osun State, Nigeria. saheed.odediji@fuhsi.edu.ng.
L O BusariMicrobiology Unit, Department of Biological Sciences, Fountain University, Osogbo, Osun State, Nigeria.
A O OlawuyiDepartment of Medical Laboratory Science, Federal University of Health Science Ila-Orangun, Ila-Orangun, Osun State, Nigeria.
K O AmooMedical Research Council Unit, London School of Hygiene and Tropical Medicine, Atlantic Boulevard Fajara, Banjul, The Gambia.
B O Amoo-AdeboyeDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria.
O A SurakatParasitology and Vector Biology Unit, Department of Animal and Environmental Biology, Osun State University, Osogbo, Osun State, Nigeria.
M A AdelekeParasitology and Vector Biology Unit, Department of Animal and Environmental Biology, Osun State University, Osogbo, Osun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal malaria and its sequelae, including maternal mortality and neonatal infection, represent a growing public health crisis in Sub-Saharan Africa, often exacerbated by underlying socioeconomic factors. The study seeks to assess the associations between maternal socioeconomic indicators, maternal malaria, and neonatal peripheral parasitaemia in a Nigerian hospital.

methodsA cross-sectional analysis of 85 mother-infant pairs was conducted at a hospital in Osogbo, Osun state, Nigeria. Well-structured questionnaires were used to collect maternal demographics, socioeconomic indicators, and preventive practices. Mother, cord blood, and neonatal peripheral blood samples were collected for parasitemia through microscopy. Descriptive statistics, Fisher exact and chi-square tests were used for categorical variables, and univariate logistic regression for continuous predictors.

resultsThe prevalence of neonatal peripheral parasitemia was 8.2% (7/85). Maternal parasitemia strongly predicted neonatal infection. All positive neonates were born to mothers with positive microscopy (7/19), whereas no neonates from parasitemia negative mothers were infected (p < 0.001). No statistically significant associations were found between neonatal parasitemia and maternal education (p = 0.912), occupation (p = 0.183), insecticide treated net use (p = 0.413), or intermittent preventive therapy uptake (p = 1.000).

conclusionsThe present study revealed maternal parasitemia as a primary risk factor for neonatal malaria. While socioeconomic factors showed no significant association in this small cohort, these preliminary findings highlighted the need for larger studies with refined socioeconomic measures to fully elucidate these relationships. This highlights the critical need for strengthening antenatal malaria screening, ensuring timely treatment of maternal infection, and enhancing community-based malaria education to reduce vertical transmission in high-burden regions like Osun State, Nigeria.

Indexed as

MalariaParasitemiaAdultCross-Sectional StudiesFemaleHumansInfant, NewbornMaleNigeriaPregnancyPrevalenceRisk FactorsSocioeconomic FactorsYoung AdultMalariaMaternalNeonatalOsun StateParasitemiaSocioeconomic

Identifiers

PMID41781969
PMCPMC13067736

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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.