ArticleBMC public health2019
Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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53 citing papers in PubMed.
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- Changing Species Dynamics and Species-Specific Associations Observed between Anopheles and Plasmodium Genera in Diebougou Health District, Southwest Burkina Faso.The American journal of tropical medicine and hygiene · 2026Article
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- Post-transfusion Malaria in Morocco and Non-endemic African Countries: A Systematic Review of Reported Cases.Cureus · 2026Review
- Sociodemographic and socioeconomic predictors of asymptomatic malaria among children and adolescents in rural Guinea: a longitudinal study.Frontiers in public health · 2026Article
- Benchmarking Spatial Interpolation Methods for Long-Term Meteorological Exposure Assessment in China: Comparing Inverse Distance Weighting and Ordinary Kriging in Climate-Health Research.Environmental health insights · 2026Article
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- Epidemiological profile and environmental determinants of Plasmodium falciparum infection in villages surrounding the Soum Agropole, Burkina Faso.Malaria journal · 2025Article
- Climate change and malaria: an old enemy of Africa is back.BMC public health · 2025Article
- The November-2023-March-2024 malaria epidemic in Zanzibar: a spatiotemporal epidemiological analysis.Malaria journal · 2025Article
- Environmental and socio-economic determinants of malaria transmission in West Africa: a systematic review.One health outlook · 2025Review
- Malaria in pregnancy: a holistic exploration of synergistic association through environmental, sociocultural, and socioeconomic lenses in Pru east municipality, Ghana.Malaria journal · 2025Article
- Malaria in Pregnancy and Predisposing Factors in Jor District of Gambella Region, Southwest Ethiopia: A Cross-Sectional Study.Health science reports · 2025Article
- Malaria and determinants of health: a scoping review of malaria vulnerabilities in Southeast Asia.Tropical medicine and health · 2025Review
- Prevalence of malaria andParasite epidemiology and control · 2025Review
- Impact of Global Climate-Change on Ecology ofIranian journal of public health · 2025Review
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17 authors.
Funding
Abstract
backgroundWith limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malaria hotspots in rural area and assess the extent to which household socioeconomic status and meteorological recordings may explain the occurrence and evolution of these hotspots.
methodsData on malaria cases from 2010 to 2014 and on socioeconomic and meteorological factors were acquired from four health facilities within the Nanoro demographic surveillance area. Statistical cross correlation was used to quantify the temporal association between weekly malaria incidence and meteorological factors. Local spatial autocorrelation analysis was performed and restricted to each transmission period using Kulldorff's elliptic spatial scan statistic. Univariate and multivariable analysis were used to assess the principal socioeconomic and meteorological determinants of malaria hotspots using a Generalized Estimating Equation (GEE) approach.
resultsRainfall and temperature were positively and significantly associated with malaria incidence, with a lag time of 9 and 14 weeks, respectively. Spatial analysis showed a spatial autocorrelation of malaria incidence and significant hotspots which was relatively stable throughout the study period. Furthermore, low socioeconomic status households were strongly associated with malaria hotspots (aOR = 1.21, 95% confidence interval: 1.03-1.40).
conclusionThese fine-scale findings highlight a relatively stable spatio-temporal pattern of malaria risk and indicate that social and environmental factors play an important role in malaria incidence. Integrating data on these factors into existing malaria struggle tools would help in the development of sustainable bottleneck strategies adapted to the local context for malaria control.
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