Malaria continues to threaten lives and livelihoods across Nigeria, despite sustained national control efforts. A 2026 study by Bakare E.A., Mogbojuri O.A., Bakare D.A., and Odewusi O.J. provides critical new insights. All authors are affiliated to the International Centre for Applied Mathematical Modelling and Data Analytics, Federal University Oye-Ekiti, Ekiti State, Nigeria.
The study analysed malaria trends in Nasarawa, Kwara, and Zamfara using ten years of surveillance data. Researchers applied wavelet analysis and SARIMA models to uncover seasonal patterns and forecast future outbreaks. Findings reveal malaria transmission follows strong seasonal cycles shaped largely by rainfall and ecological conditions.
In Nasarawa, malaria exhibited a persistent annual cycle with peaks occurring mostly in September. This predictable pattern suggests well-timed interventions could significantly reduce peak transmission burdens each year.
Kwara displayed mixed seasonal cycles, with peaks often arriving earlier, usually around August. However, weakening periodic patterns suggest gradual gains from interventions like insecticide-treated nets and chemoprevention.
Zamfara showed fluctuating cycles, with resurging seasonal intensity observed after earlier declines in transmission patterns. Forecasts indicate substantial future burden, with Zamfara expected to record the highest monthly malaria cases.
Average projections estimate 67,463 monthly cases in Zamfara between 2025 and 2026. Nasarawa follows with 51,482 cases, while Kwara records lower but highly variable estimates.
Seasonal peaks across states consistently fall between July and August, aligning with rainfall-driven mosquito proliferation cycles. Importantly, Nasarawa and Zamfara demonstrate near-perfect synchrony in malaria transmission timing and intensity. This synchrony suggests shared climatic drivers and highlights opportunities for coordinated regional intervention strategies.
Kwara consistently leads in seasonal onset, offering an early warning signal for neighbouring states. Monitoring Kwara trends could improve preparedness and optimize response timing in Nasarawa and Zamfara.
The study underscores that malaria control must move beyond uniform national strategies toward localized, data-driven interventions. Despite robust modelling, limitations include reliance on routine facility data and exclusion of external influencing factors.
Nevertheless, the study contributes valuable forecasting evidence to guide intervention timing and resource prioritization decisions. It reinforces the urgency of aligning prevention strategies with seasonal realities to reduce avoidable malaria deaths.
ThinkSpace Insights
- Malaria control must be treated as a core public health and prevention priority across the nation.
- State governments should prioritize sustained investment in surveillance, prevention, and seasonal preparedness systems.
- Evidence-based forecasting must guide timely interventions before peak transmission periods occur.
- Coordinated primary healthcare and consistent funding are essential for long-term malaria reduction success.
- Residents should prepare early for seasonal malaria peaks through informed household prevention practices, including ITN use, routine care for pregnant women and children, environmental sanitation, and disruption of mosquito breeding sites.
Access Full Article: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337791
