ArticlePloS one2018
Spatial pattern and determinants of anaemia in Ethiopia.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis.International journal of health policy and management · 2024Pooled it
- Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression.Frontiers in public health · 2025Article
- Spatial distribution and determinant factors of anemia among women age 15-49 years in Burkina Faso; using mixed-effects ordinal logistic regression model.Journal of preventive medicine and hygiene · 2024Article
- Article
- Anemia Among Women Using Family Planning at Public Health Facilities in Ambo Town, Central Ethiopia: Multi-Center Cross-Sectional Study.Journal of blood medicine · 2023Article
- Anemia Prevalence and Risk Factors in Two of Ethiopia's Most Anemic Regions among Women: A Cross-Sectional Study.Advances in hematology · 2023Article
- Spatial variation and clustering of anaemia prevalence in school-aged children in Western Kenya.PloS one · 2023Article
- Is the burden of anaemia among Indian adolescent women increasing? Evidence from Indian Demographic and Health Surveys (2015-21).PLOS global public health · 2023Article
- Factors associated with anaemia in pregnancy: A retrospective cross-sectional study in the Bolgatanga Municipality, northern Ghana.PloS one · 2023Article
- Article
- Risk factors of anemia among preschool children in Ethiopia: a Bayesian geo-statistical model.BMC nutrition · 2022Article
- Spatial disparities of HIV prevalence in South Africa. Do sociodemographic, behavioral, and biological factors explain this spatial variability?Frontiers in public health · 2022Article
- Spatial distribution and determinants of iron supplementation among pregnant women in Ethiopia: a spatial and multilevel analysis.Archives of public health = Archives belges de sante publique · 2021Article
- Bayesian Spatial Modeling of Anemia among Children under 5 Years in Guinea.International journal of environmental research and public health · 2021Article
- Spatial distribution and determinant factors of anemia among adults aged 15-59 in Ethiopia; using mixed-effects ordinal logistic regression model.BMC nutrition · 2021Article
- Anaemia and its determinants among young children aged 6-23 months in Ethiopia (2005-2016).Maternal & child nutrition · 2021Article
- Article
- Factors associated with anaemia among women of reproductive age in Ethiopia: Multilevel ordinal logistic regression analysis.Maternal & child nutrition · 2021Article
- Differential effects of socio-demographic factors on maternal haemoglobin concentration in three sub-Saharan African Countries.Scientific reports · 2020Article
- A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Anaemia is a condition in which the haemoglobin concentration falls below an established cut-off value due to a decrease in the number and size of red blood cells. The current study aimed (i) to assess the spatial pattern and (ii) to identify determinants related to anaemia using the third Ethiopian demographic health survey. To achieve these objectives, this study took into account the sampling weight and the clustered nature of the data. As a result, multilevel modeling has been used in the statistical analysis. The analysis included complete cases from 15,909 females, and 13,903 males. Among all subjects who agreed for hemeoglobin test, 5.22% males, and 16.60% females were anemic. In both binary and ordinal outcome modeling approaches, educational level, age, wealth index, BMI and HIV status were found to be significant predictors of anaemia prevalence. Furthermore, this study applied spatial methods to generate maps at regional level which could be useful for policy makers where great efforts should be concentrated to reduce the prevalence of anaemia. As revealed by Moran's I test, significant spatial autocorrelation were noted across clusters. The risk of anaemia was found to vary across different regions, and higher prevalences were observed in Somali and Affar regions.
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Registered trials
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