This repository contains scripts, documentation, and workflows developed for the study “Building local climate services for health by leveraging novel low-cost technologies: A proof of concept in the Peruvian Amazon”.
The project integrates drones (RGB/thermal/multispectral), low-cost meteorological stations, air quality sensors, and eco-acoustic monitors to support climate-sensitive infectious disease (CSID) surveillance and decision-making along the Iquitos–Nauta Highway (Loreto, Peru).
Climate-sensitive disease risks are increasing in Latin America, particularly in underserved settings such as the Peruvian Amazon where surveillance and longitudinal environmental data are limited. This project prototypes a local climate service for health using real-time (or near real-time) data captured by low-cost technologies.
A participatory, ethics-approved approach was implemented across ten communities along the Iquitos–Nauta Highway. Data were collected through:
- Drone mapping (RGB, thermal, multispectral)
- Village-scale meteorology (weather stations)
- Air quality monitoring (PM2.5 / PM10)
- Eco-acoustic monitoring (AudioMoth)
- Case geolocation and terrain inspections (QField + GPS)
All outputs were anonymized and integrated into a dashboard-oriented workflow to enable decision support and support future early warning systems.
This work demonstrates the feasibility of integrating low-cost technologies to enhance VBD monitoring and improve the spatial/temporal granularity of environmental indicators in complex Amazonian settings.
The study was conducted in Loreto, northeastern Peru, along the Iquitos–Nauta Highway (INH)—the only terrestrial route connecting Iquitos to other Amazonian cities. Ten sites were selected to capture an urban–rural gradient and heterogeneous disease distribution:
- Quistococha (km 6)
- Zungarococha (near km 6)
- Llanchama
- El Varillal (km 16)
- San Carlos (near km 21)
- El Paujil (km 32)
- San Lucas (km 42)
- 23 de Febrero (near km 48)
- 12 de Abril (km 56)
- Cahuide (km 57)