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Dataset Information

Integrating forest data and health facility surveys to optimise risk-based malaria surveillance in the Philippines.


ABSTRACT:

Introduction

Malaria transmission is highly spatially heterogeneous. Within Southeast Asia, forested landscapes are associated both with increased malaria transmission and reduced healthcare access. Identifying environments with malaria foci is a priority for control and elimination programmes.

Methods

Here, we integrate health facility and environmental data to identify optimal surveillance approaches across a forested district in the Philippines. We conducted convenience surveys of health facility attendees utilising tablet-based applications to geolocate participant residences. Malaria infection was assessed using both routine (microscopy and rapid diagnostic test) and molecular methods. Integrating remote-sensing derived data, we assessed how fine-scale environmental fac

SUBMITTER: Fornace KM 

PROVIDER: S-EPMC12756170 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature