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Updated: Aug 8, 2026
08:23
Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages
Published on: May 30, 2019
Understanding malaria dynamics in Benin through time series, and environmental correlation: Implications for targeted
Sena V Alohoutade1, Rachel Hounsell1,2, Codjo Dandonougbo3
1Modelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
PLOS Global Public Health
|August 6, 2026
Summary
Malaria transmission in Benin shows distinct bimodal patterns, peaking in July and October. Seasonal malaria chemoprevention (SMC) significantly reduced malaria incidence, particularly in specific regions.
Area of Science:
- Public Health Entomology
- Epidemiology
- Climate and Health
Background:
- Malaria is a major cause of mortality in children under five in Benin, necessitating a deep understanding of transmission dynamics for effective control.
- Targeted interventions like seasonal malaria chemoprevention (SMC) and the RTS,S/AS01 vaccine are crucial for malaria elimination efforts.
Purpose of the Study:
- To analyze the temporal, spatial, and demographic patterns of malaria transmission in Benin.
- To investigate the relationship between malaria incidence, climate factors, and the impact of interventions like SMC.
Main Methods:
- Descriptive analysis of monthly malaria surveillance data, including seasonal decomposition (LOESS) for trend and seasonality identification.
- Spatial analysis using regional incidence data and time series analysis.
- Demographic subgroup analysis, cross-correlation for climate factors, and interrupted time series analysis for SMC impact assessment.
Main Results:
- A consistent bimodal malaria incidence pattern was observed annually, with peaks in July and October, varying by province.
- Children under five experienced disproportionately higher malaria incidence compared to older individuals.
- Seasonal malaria chemoprevention (SMC) demonstrated statistically significant reductions in malaria incidence (28-58%) in several health zones. Temperature and rainfall showed significant associations with malaria incidence at specific lags.
Conclusions:
- Malaria transmission in Benin exhibits clear temporal, spatial, and demographic patterns influenced by climate factors.
- Geographically and seasonally tailored interventions, considering environmental and demographic variables, are essential for malaria control.
- The study provides foundational data for future modeling of malaria control tools' impact and cost-effectiveness.
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