Malaria Epidemiology and Risk Factor Analysis
Summary
Malaria remains a major global health challenge, with the greatest burden borne by children under five and pregnant women in sub-Saharan Africa and parts of South-East Asia. Epidemiological studies combine surveillance data, spatial mapping and statistical modelling to describe transmission intensity, seasonal variation and emerging resistance patterns. Risk factor analysis has highlighted environmental drivers such as rainfall, temperature and land use, alongside socioeconomic determinants including poverty, housing quality, education and access to healthcare. Behavioural factors—use of insecticide-treated nets, indoor residual spraying and health-seeking practices—interact with demographic characteristics to shape individual and community vulnerability. Advances in geospatial techniques and mediation frameworks have improved the identification of transmission hotspots and clarified pathways linking social disadvantage to infection risk. Integrating these insights supports the design of targeted interventions, optimised resource allocation and adaptive strategies for elimination.
Research from Nature Portfolio
Recent studies have applied high-resolution geostatistical modelling to characterise spatial variability of under-five malaria prevalence in rapidly growing urban settings. By combining model-based geostatistics with Monte Carlo maximum likelihood estimation, researchers produced predictive risk maps at fine geographic scales and identified exceedance probability thresholds for prioritising neighbourhoods with prevalence above 10 %. These analyses revealed strong associations between infection risk and household use of insecticide-treated nets, window screening and water source type, thereby offering actionable guidance for urban malaria control and policy development.
Malaria Epidemiology and Risk Factor Analysis publication trend
The graph below shows the total number of articles in malaria epidemiology and risk factor analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Geostatistical modelling: Statistical techniques that use location-referenced data to estimate disease prevalence or risk across a continuous surface.
Exceedance probability modelling: A method that calculates the probability that a parameter, such as prevalence, exceeds a predefined threshold in each spatial unit.
Hydrogeomorphic hotspot: A geographic area where landform processes like erosion, waterlogging and sedimentation converge to influence environmental and health outcomes.
Socioeconomic position (SEP): A composite measure of an individual’s or household’s economic and social standing, based on income, education and occupation.
Formal mediation analysis: A statistical approach to quantify how intermediary variables transmit the effect of an exposure (e.g., poverty) on an outcome (e.g., malaria infection).
References
- From erosion to epidemics: Understanding the overlapping vulnerability of hydrogeomorphic hotspots, malaria affliction, and poverty in Nigeria. The Science of The Total Environment (2024).
- What are the pathways between poverty and malaria in sub-Saharan Africa? A systematic review of mediation studies. Infectious Diseases of Poverty (2023).
- Identifying childhood malaria hotspots and risk factors in a Nigerian city using geostatistical modelling approach. Scientific Reports (2024).
About these summaries
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