Evidence-based decision making for malaria elimination applying the Freedom From Infection statistical framework in five malaria eliminating countries an observational study
Routine surveillance is a pillar of malaria programmes, and the primary source of data used for decision making. However, any inference when relying on routine data to inform decision making is limited by how effective the system is at measuring the actual malaria burden. Here, we aimed to extend the Freedom From Infection (FFI) framework to produce species-specific estimates of surveillance system sensitivity and probability of freedom from malaria, combine multiple surveillance components including community case management and active case detection, and apply the FFI model in five malaria eliminating settings.
Aug 20, 2025
Malaria seroepidemiology in very low transmission settings in the Peruvian Amazon
This study in low transmission areas of Loreto, Peru, examines the relationship between malaria exposure and proximity to health facilities. Findings show significant seropositivity rates for P. falciparum and P. vivax, with higher exposure in villages farther from healthcare centers, and identified spatial hotspots.
Feb 2, 2024
Quantifying the effect of human population mobility on malaria risk in the Peruvian Amazon
The study explores the impact of human population movement (HPM) on malaria risk in the Peruvian Amazon using travel surveys, GPS trackers, and Bayesian models. It reveals that riverine community connectivity due to work, trade, and family sustains high malaria transmission, offering evidence to adapt control programs.
Jul 20, 2022
Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks A Proof-of-Concept Study in the Peruvian Amazon
The study demonstrates the use of drone-based multispectral imaging to identify malaria vector larval habitats with high accuracy. This innovative approach supports targeted interventions, improving resource allocation for malaria control efforts.
Sep 24, 2020
Use of open mobile mapping tool to assess human mobility traceability in rural offline populations with contrasting malaria dynamics
The article explores the use of an open-source mobile mapping tool to trace human mobility in rural offline populations with differing malaria dynamics. It highlights the tool's potential for understanding movement patterns to inform targeted malaria control strategies.
Jan 22, 2019
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
The study demonstrates the use of drone-based multispectral imaging to identify malaria vector larval habitats with high accuracy. This innovative approach supports targeted interventions, improving resource allocation for malaria control efforts.
Jan 17, 2019