Process and Methodological Considerations for Observational Analyses of Vector Control Interventions in Sub-Saharan...

Area of Science:

• Public Health
• Epidemiology
• Vector Biology

Background:

• Malaria control progress has stalled globally.
• Insecticide resistance and new products necessitate data-driven vector control deployment.
• National malaria control programs (NMCPs) require subnational decision-making frameworks.

Purpose of the Study:

• Provide practical guidance for designing vector control evaluations.
• Recommend key data variables and sources for subnational decision-making.
• Propose methods to overcome data quality challenges in malaria control.

Main Methods:

• Integrated observational longitudinal analyses of routine health, entomological, and program data.
• Experience from 22 vector control evaluations across 14 sub-Saharan African countries.
• Review of published and gray literature on vector control impact evaluations.

Main Results:

• Key recommendations for parameterizing impact and coverage indicators.
• Incorporation of diverse covariates: RDT stockouts, insecticide susceptibility, vector density, climate.
• Emphasis on pre-evaluation data quality assessment (on-ground or remote).

Conclusions:

• Enhanced utilization of routine data can improve malaria vector control strategies.
• Data-driven subnational stratification is crucial for effective intervention deployment.
• Strengthened data quality and integration support evidence-based national malaria control programs.