ArticleBMC public health2020
Investigating the spatial variation and risk factors of childhood anaemia in four sub-Saharan African countries.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 44 citations in OpenAlex.
- Prevalence and causes of anemia among older adults in India: findings from wave 2 of the Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD).International journal for equity in health · 2025Article
- Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques.Children (Basel, Switzerland) · 2025Article
- Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.BMC pediatrics · 2025Article
- Modelling child anaemia and co-existing infections using log-linear models.Malaria journal · 2025Review
- High-resolution spatial prediction of anemia risk among children aged 6 to 59 months in low- and middle-income countries.Communications medicine · 2025Article
- A geo-additive spatial analysis of condom use among women aged 15-49 in Rwanda.Frontiers in public health · 2025Article
- Anaemia and associated factors among children aged 6-59 months during the post-ebola period in Sierra Leone: a national cross-sectional survey- 2019.Archives of public health = Archives belges de sante publique · 2024Article
- A district-level geospatial analysis of anaemia prevalence among rural men in India, 2019-21.International journal for equity in health · 2024Article
- Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016.PloS one · 2024Article
- Prevalence of anemia and its associated factors among under-five children living in Arba Minch Health and Demographic Surveillance System Sites (HDSS), Southern Ethiopia.PLOS global public health · 2024Article
- The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia.Scientific reports · 2023Article
- Global warming may significantly increase childhood anemia burden in sub-Saharan Africa.One earth (Cambridge, Mass.) · 2023Article
- Prevalence and Associated Risk Factors of Anemia Among Hospitalized Children in a Tertiary Level Hospital in Botswana.Global pediatric health · 2023Article
- Spatial variations and determinants of malnutrition among under-five children in Nigeria: A population-based cross-sectional study.PloS one · 2023Article
- Spatial variation and clustering of anaemia prevalence in school-aged children in Western Kenya.PloS one · 2023Article
- Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda.BMC pediatrics · 2022Article
- Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria.Malaria journal · 2022Article
- Impact of a 5-Year Mass Drug Administration Programme for Soil-Transmitted Helminthiases on the Spatial Distribution of Childhood Anaemia in Burundi from 2007 to 2011.Tropical medicine and infectious disease · 2022Article
- Spatiotemporal Variation and Predictors of Unsuppressed Viral Load among HIV-Positive Men and Women in Rural and Peri-Urban KwaZulu-Natal, South Africa.Tropical medicine and infectious disease · 2022Article
- Spatial variation and risk factors of malaria and anaemia among children aged 0 to 59 months: a cross-sectional study of 2010 and 2015 datasets.Scientific reports · 2022Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe causes of childhood anaemia are multifactorial, interrelated and complex. Such causes vary from country to country, and within a country. Thus, strategies for anaemia control should be tailored to local conditions and take into account the specific etiology and prevalence of anaemia in a given setting and sub-population. In addition, policies and programmes for anaemia control that do not account for the spatial heterogeneity of anaemia in children may result in certain sub-populations being excluded, limiting the effectiveness of the programmes. This study investigated the demographic and socio-economic determinants as well as the spatial variation of anaemia in children aged 6 to 59 months in Kenya, Malawi, Tanzania and Uganda.
methodsThe study made use of data collected from nationally representative Malaria Indicator Surveys (MIS) and Demographic and Health Surveys (DHS) conducted in all four countries between 2015 and 2017. During these surveys, all children under the age of five years old in the sampled households were tested for malaria and anaemia. A child's anaemia status was based on the World Health Organization's cut-off points where a child was considered anaemic if their altitude adjusted haemoglobin (Hb) level was less than 11 g/dL. The explanatory variables considered comprised of individual, household and cluster level factors, including the child's malaria status. A multivariable hierarchical Bayesian geoadditive model was used which included a spatial effect for district of child's residence.
resultsPrevalence of childhood anaemia ranged from 36.4% to 61.9% across the four countries. Children with a positive malaria result had a significantly higher odds of anaemia [AOR = 4.401; 95% CrI: (3.979, 4.871)]. After adjusting for a child's malaria status and other demographic, socio-economic and environmental factors, the study revealed distinct spatial variation in childhood anaemia within and between Malawi, Uganda and Tanzania. The spatial variation appeared predominantly due to unmeasured district-specific factors that do not transcend boundaries.
conclusionsAnaemia control measures in Malawi, Tanzania and Uganda need to account for internal spatial heterogeneity evident in these countries. Efforts in assessing the local district-specific causes of childhood anaemia within each country should be focused on.
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