Leveraging spatial structure to design spatially-targeted malaria interventions at the community-scale.

Spatially-targeted malaria interventions in Madagascar show that targeting central communities improves resource efficiency but does not eliminate malaria.

• Why it matters: Effective malaria control remains challenging, especially in low-income settings, and understanding how spatial targeting influences intervention success is crucial for optimizing resource use.
• What they did: A spatially-explicit, two-age-class model was developed and fitted to local data to simulate three interventions—IRS, LLIN, and ACD—across five spatial scenarios, including no targeting and various community-focused strategies.
• The result: Targeting centrally located communities increased reach with fewer resources compared to no targeting, but no intervention fully eliminated malaria; however, active case detection could prevent all severe cases at high detection rates.