ArticleInternational journal of environmental research and public health2021
Individual and Contextual Factors Associated with Malaria among Children 6-59 Months in Nigeria: A Multilevel Mixed Effect Logistic Model Approach.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Socioeconomic and geographic disparities in institutional delivery in Bangladesh: a Bayesian multilevel modelling framework.BMC public health · 2026Article
- Identifying age-common and age-specific factors of Plasmodium infection in Nigerian children under five: Application of a cluster-aware multistage selection framework to the 2018 Nigeria Demographic and Health Survey.PLOS global public health · 2026Article
- Comparative analysis of predictors of child mortality in Ethiopia via frequentist and Bayesian approaches.Scientific reports · 2025Article
- Spatial distribution of malaria among under-five children and associated factors in Tanzania: a spatial and multilevel analysis.Malaria journal · 2025Article
- Risk factors for contracting malaria in six wards of Mudzi District, Zimbabwe: A case control-study.PloS one · 2025Article
- The Risk Factors Associated with the Prevalence of Multimorbidity of Anaemia, Malaria, and Malnutrition among Children Aged 6-59 Months in Nigeria.International journal of environmental research and public health · 2024Article
- The Intersection of a Child's Demographics and Household Socioeconomic Status in the Multimorbidity of Malaria, Anaemia, and Malnutrition among Children Aged 6-59 Months in Nigeria.International journal of environmental research and public health · 2024Article
- Factors associated with the risk of malaria among children: analysis of 2021 Nigeria Malaria Indicator Survey.Malaria journal · 2024Article
- Socio-economic, demographic, and contextual predictors of malnutrition among children aged 6-59 months in Nigeria.BMC nutrition · 2024Article
- Malaria profile and socioeconomic predictors among under-five children: an analysis of 11 sub-Saharan African countries.Malaria journal · 2023Article
- Individual and Contextual Factors Associated With Malaria Among Children 6-59 Months in Burkina Faso.International journal of public health · 2023Article
- Multilevel analysis of individual- and community-level determinants of birth certification of children under-5 years in Nigeria: evidence from a household survey.BMC public health · 2022Article
- The Effect of Psychological Burden on Dyslipidemia Moderated by Greenness: A Nationwide Study from China.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background/purposeOver the last two decades, malaria has remained a major public health concern worldwide, especially in developing countries leading to high morbidity and mortality among children. Nigeria is the world most burdened malaria endemic nation, contributing more than a quarter of global malaria cases. This study determined the prevalence of malaria among children at 6-59 months in Nigeria, and the effects of individual and contextual factors.
methodsThis study utilized data from 2018 Nigeria Demographic and Health Survey (NDHS) involving a weighted sample size of 10,185 children who were tested for malaria using rapid diagnostic test (RDT). Given the hierarchical structure of the data set, such that children at Level-1 were nested in communities at Level-2, and nested in states and Federal Capital Territory (FCT) at Level-3, multilevel mixed effect logistic regression models were used for the analysis.
resultsThe proportion of children 6-59 months of age in Nigeria that had malaria fever positive as assessed by RDTs was 35.5% (3418/10,185), (CI: 33.9-37.1). Kebbi State had 77.7%, (CI: 70.2-83.5), which was the highest proportion of 6-59 months who were malaria positive, next in line was Katsina State with 55.5%, (CI: 47.7-63.1). The Federal Capital Territory (FCT), Abuja had the proportion of 29.6%, (CI: 21.6-39.0), malaria positive children of 6-59 months of age. Children between the age of 48 and 59 months were 2.68 times more likely to have malaria fever than children of ages 6-11 months (AOR = 2.68, 95% CI: 2.03-3.54). In addition, children from the rural area (AOR = 2.12, 95% CI: 1.75-2.57), were more likely to suffer from malaria infection compared to children from urban area.
conclusionThe study identified some individual and contextual predictors of malaria among children in Nigeria. These factors identified in this study are potential areas that need to be considered for policy designs and implementations toward control and total elimination of malaria-related morbidity and mortality among children in Nigeria.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.