ArticleBMC medicine2018
Spatio-temporal mapping of Madagascar's Malaria Indicator Survey results to assess Plasmodium falciparum endemicity trends between 2011 and 2016.
Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.
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47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled 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
- Trial
- Clinical Characteristics and Outcomes of Hospitalized Malaria Patients in Rural Madagascar.Journal of clinical medicine · 2026Article
- Understanding inequities in the malaria landscape of Madagascar: a scoping review of current evidence.Malaria journal · 2026Review
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Impact of Environmental Factors on the Distribution Patterns of Nephropathia Epidemica Cases in Western Europe.Environmental health perspectives · 2025Article
- Performance of the Bioline™ Malaria Ag Pf/Pan and Bioline™ Malaria Ag Pf/Pv for Malaria Diagnostics: Madagascar In-Country Evaluation.The American journal of tropical medicine and hygiene · 2025Article
- Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal.Science in One Health · 2025Article
- Modelling the impact of climatic and environmental variables on malaria incidence in Tanzania: Implications for achieving the WHO's 2030 Targets.PLOS global public health · 2025Article
- Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Comparison of new computational methods for spatial modelling of malaria.Malaria journal · 2023Article
- Using routine health data to evaluate the impact of indoor residual spraying on malaria transmission in Madagascar.BMJ global health · 2023Observational
- Mapping malaria incidence using routine health facility surveillance data in Uganda.BMJ global health · 2023Article
- Mapping Local Variations and the Determinants of Childhood Stunting in Nigeria.International journal of environmental research and public health · 2023Article
- The use of routine health facility data for micro-stratification of malaria risk in mainland Tanzania.Malaria journal · 2022Article
- Identification of factors associated with residual malaria transmission using school-based serological surveys in settings pursuing elimination.Malaria journal · 2022Article
- A spatiotemporal recommendation engine for malaria control.Biostatistics (Oxford, England) · 2022Article
- Geospatial modeling of pre-intervention nodule prevalence of Onchocerca volvulus in Ethiopia as an aid to onchocerciasis elimination.PLoS neglected tropical diseases · 2022Article
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11 authors at 4 institutions in 3 countries.
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Abstract
backgroundReliable measures of disease burden over time are necessary to evaluate the impact of interventions and assess sub-national trends in the distribution of infection. Three Malaria Indicator Surveys (MISs) have been conducted in Madagascar since 2011. They provide a valuable resource to assess changes in burden that is complementary to the country's routine case reporting system.
methodsA Bayesian geostatistical spatio-temporal model was developed in an integrated nested Laplace approximation framework to map the prevalence of Plasmodium falciparum malaria infection among children from 6 to 59 months in age across Madagascar for 2011, 2013 and 2016 based on the MIS datasets. The model was informed by a suite of environmental and socio-demographic covariates known to influence infection prevalence. Spatio-temporal trends were quantified across the country.
resultsDespite a relatively small decrease between 2013 and 2016, the prevalence of malaria infection has increased substantially in all areas of Madagascar since 2011. In 2011, almost half (42.3%) of the country's population lived in areas of very low malaria risk (<1% parasite prevalence), but by 2016, this had dropped to only 26.7% of the population. Meanwhile, the population in high transmission areas (prevalence >20%) increased from only 2.2% in 2011 to 9.2% in 2016. A comparison of the model-based estimates with the raw MIS results indicates there was an underestimation of the situation in 2016, since the raw figures likely associated with survey timings were delayed until after the peak transmission season.
conclusionsMalaria remains an important health problem in Madagascar. The monthly and annual prevalence maps developed here provide a way to evaluate the magnitude of change over time, taking into account variability in survey input data. These methods can contribute to monitoring sub-national trends of malaria prevalence in Madagascar as the country aims for geographically progressive elimination.
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