Article-Journal

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

Bovine lactoferrin for the prevention of COVID-19 infection in health care personnel a double-blinded randomized clinical trial (LF-COVID)

Dec 7, 2022

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

The study introduces an open-source, 3D-printable GPS tracker to monitor human movement and its influence on malaria epidemiology in river networks. Tested in the Peruvian Amazon, it provides insights into mobility patterns critical for malaria control strategies.

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