Designing spatial adaptive surveillance for the emerging malaria vector Anopheles stephensi in Eastern and Horn of Africa
This paper presents and evaluates a dynamic, model-based spatial surveillance framework designed to optimize the detection and mapping of the invasive malaria vector *Anopheles stephensi* in the Horn of Africa by adaptively allocating surveillance sites to high-uncertainty and high-abundance areas, thereby significantly reducing uncertainty and accelerating targeted control interventions.