ArticleBMC pediatrics2022
Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda.
Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research.International journal of environmental research and public health · 2023Pooled it
- Estimating Causal Effects of Malaria Infection on Anaemia Among Children Under Five Years in Uganda: Evidence From a Cross-Sectional Malaria Indicator Survey.Health science reports · 2026Article
- Spatial and temporal inequalities in malaria incidence and mortality among children aged 0-4 years in Somalia: a subnational analysis, 2010-2019.Tropical medicine and health · 2026Article
- Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.Malaria journal · 2026Article
- Co-occurrence of anaemia and malaria among children under five in Uganda: A joint modeling analysis.PLOS global public health · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalaria and anaemia contribute substantially to child morbidity and mortality. In this study, we sought to jointly model the residual spatial variation in the likelihood of these two correlated diseases, while controlling for individual-level, household-level and environmental characteristics.
methodsA child-level shared component model was utilised to partition shared and disease-specific district-level spatial effects.
resultsThe results indicated that the spatial variation in the likelihood of malaria was more prominent compared to that of anaemia, for both the shared and specific spatial components. In addition, approximately 30% of the districts were associated with an increased likelihood of anaemia but a decreased likelihood of malaria. This suggests that there are other drivers of anaemia in children in these districts, which warrants further investigation.
conclusionsThe maps of the shared and disease-specific spatial patterns provide a tool to allow for more targeted action in malaria and anaemia control and prevention, as well as for the targeted allocation of limited district health system resources.
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