ArticlePloS one2017
Geostatistical modelling of malaria indicator survey data to assess the effects of interventions on the geographical distribution of malaria prevalence in children less than 5 years in Uganda.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- What are the pathways between poverty and malaria in sub-Saharan Africa? A systematic review of mediation studies.Infectious diseases of poverty · 2023Pooled it
- Geospatial estimation of reproductive, maternal, newborn and child health indicators: a systematic review of methodological aspects of studies based on household surveys.International journal of health geographics · 2020Pooled it
- Spatial and spatio-temporal methods for mapping malaria risk: a systematic review.BMJ global health · 2020Pooled it
- Modelling geographical variation in the determinants of childhood malaria in Malawi using geographically weighted regression.Malaria journal · 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
- Prevalence and factors associated with malaria amongst under-five children in Senga Hill District, Northern Province, Zambia, a community-based cross-sectional study.Malaria journal · 2026Article
- Associations between precipitation, temperature, and malaria prevalence in children under 5 in Mali.PloS one · 2026Article
- Factors associated with successful exclusive breastfeeding among mothers in the formal sector: a mixed-method study in Kampala, Uganda.International breastfeeding journal · 2025Article
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Article
- The influence of jittering DHS cluster locations on geostatistical model-based estimates of malaria risk in Cameroon.Parasite epidemiology and control · 2024Article
- Prevalence and factors associated with malaria among children aged 6 months to 10 years in the Greater Accra Region of Ghana: a community-based cross-sectional survey.Malaria journal · 2024Article
- Estimating the under-five malaria risk in Uganda based on the nearest neighbour matched analysis technique.African health sciences · 2024Article
- Identifying childhood malaria hotspots and risk factors in a Nigerian city using geostatistical modelling approach.Scientific reports · 2024Article
- Relative effects of climate factors and malaria control interventions on changes of parasitaemia risk in Burkina Faso from 2014 to 2017/2018.BMC infectious diseases · 2024Article
- Quality of care and post-discharge morbidity among children diagnosed with severe malaria in rural Uganda: A prospective cohort study.PLOS global public health · 2024Article
- Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach.Malaria journal · 2023Article
- Spatial Optimization Methods for Malaria Risk Mapping in Sub-Saharan African Cities Using Demographic and Health Surveys.GeoHealth · 2023Article
- Malaria amongst children under five in sub-Saharan Africa: a scoping review of prevalence, risk factors and preventive interventions.European journal of medical research · 2023Article
- Article
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7 authors.
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Abstract
backgroundMalaria burden in Uganda has declined disproportionately among regions despite overall high intervention coverage across all regions. The Uganda Malaria Indicator Survey (MIS) 2014-15 was the second nationally representative survey conducted to provide estimates of malaria prevalence among children less than 5 years, and to track the progress of control interventions in the country. In this present study, 2014-15 MIS data were analysed to assess intervention effects on malaria prevalence in Uganda among children less than 5 years, assess intervention effects at regional level, and estimate geographical distribution of malaria prevalence in the country.
methodsBayesian geostatistical models with spatially varying coefficients were used to determine the effect of interventions on malaria prevalence at national and regional levels. Spike-and-slab variable selection was used to identify the most important predictors and forms. Bayesian kriging was used to predict malaria prevalence at unsampled locations.
resultsIndoor Residual Spraying (IRS) and Insecticide Treated Nets (ITN) ownership had a significant but varying protective effect on malaria prevalence. However, no effect was observed for Artemisinin Combination-based Therapies (ACTs). Environmental factors, namely, land cover, rainfall, day and night land surface temperature, and area type were significantly associated with malaria prevalence. Malaria prevalence was higher in rural areas, increased with the child's age, and decreased with higher household socioeconomic status and higher level of mother's education. The highest prevalence of malaria in children less than 5 years was predicted for regions of East Central, North East and West Nile, whereas the lowest was predicted in Kampala and South Western regions, and in the mountainous areas in Mid-Western and Mid-Eastern regions.
conclusionsIRS and ITN ownership are important interventions against malaria prevalence in children less than 5 years in Uganda. The varying effects of the interventions calls for selective implementation of control tools suitable to regional ecological settings. To further reduce malaria burden and sustain malaria control in Uganda, current tools should be supplemented by health system strengthening, and socio-economic development.
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