ArticleScientific reports2019
Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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40 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.
- Spatial and spatio-temporal methods for mapping malaria risk: a systematic review.BMJ global health · 2020Pooled it
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- Mapping inequity: spatial clustering of malaria in pregnancy in the Amhara region, Northwest Ethiopia (2018-2024).BMC infectious diseases · 2026Article
- Spatial analysis of malaria incidence and environmental determinants in Hadiya Zone, Ethiopia.Scientific reports · 2025Article
- Bayesian hierarchical spatial ecological model assessing the nexus of vegetation index, insecticide-treated bed-nets and livestock cattle density on lymphatic filariasis transmission.BMC public health · 2025Article
- Descriptive Epidemiology of Acute Febrile Illness Patients in Nigeria: Pathogens of Global Public Health Significance Detected Using a Multi-Pathogen Detection Tool.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Decomposing the gap in under-five mortality determinants between the low- and high-risk regions of Nigeria.Scientific reports · 2025Article
- Environmental and socio-economic determinants of malaria transmission in West Africa: a systematic review.One health outlook · 2025Review
- Heterogeneous malaria transmission patterns in southeastern Tanzania driven by socio-economic and environmental factors.Malaria journal · 2025Article
- Forecasting malaria cases using climate variability in Sierra Leone.Malaria journal · 2025Article
- Emerging malaria in Indonesia: An overview ofParasite epidemiology and control · 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
- Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria.BMC digital health · 2025Article
- Principal component analysis of the Serological response to Plasmodium Falciparum using a Multiplex bead-based assay in Nigeria.Scientific reports · 2024Article
- Spatio-temporal dynamics of malaria in Rwanda between 2012 and 2022: a demography-specific analysis.Infectious diseases of poverty · 2024Article
- Potential impact of climatic factors on malaria in Rwanda between 2012 and 2021: a time-series analysis.Malaria journal · 2024Article
- GIS-based spatiotemporal mapping of malaria prevalence and exploration of environmental inequalities.Parasitology research · 2024Article
- Assessing the relationship between malaria incidence levels and meteorological factors using cluster-integrated regression.BMC infectious diseases · 2024Article
- Drivers of autochthonous malaria cases over time: could the Central European present the African future?Malaria journal · 2024Article
- Vegetation index and livestock practices as predictors of malaria transmission in Nigeria.Scientific reports · 2024Article
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2 authors at 1 institution in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Malaria still poses a significant threat in Nigeria despite the various efforts to abate its transmission. Certain environmental factors have been implicated to increase the risk of malaria in Nigeria and other affected countries. The study aimed to evaluate the spatial and temporal association between the incidence of malaria and some environmental risk factors in Nigeria. The study used malaria incidence and environmental risk factors data emanating from 2015 Nigeria Malaria Indicator Survey accessed from the Demographic and Health Survey database. A total of 333 and 326 clusters throughout the country were used for malaria incidence study and environmental variables respectively. The spatial autocorrelation of malaria incidence and hotspot analysis was determined by the Moran's diagram and local Moran's I index, respectively. The relationships between the malaria incidence and the ecological predictors of transmission were analysed in all the six geopolitical zones of Nigeria from 2000-2015 using ordinary least square (OLS), spatial lag model (SLM), and spatial error model (SEM). Annual rainfall, precipitation and proximity to water showed significant positive relationship with the incidence rate of malaria in the OLS model (P < 0.01), whereas aridity was negatively related to malaria incidence (P < 0.001) in the same model. The rate of incidence of malaria increased significantly with increase in temperature, aridity, rainfall and proximity to water in the SEM whereas only temperature and proximity to water have significant positive effect on malaria incidence in the SLM. The modelling of the ecological predictors of malaria transmission and spatial maps provided in this study could aid in developing framework to mitigate malaria and identify its hotspots for urgent intervention in the endemic regions.
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