HARMONIZE Toolkit

The HARMONIZE toolkit comprises different R and Python libraries tailored for health, climate, environmental, and socioeconomic data acquisition, harmonisation, and visualization.

Institution:

Institution

Research Group:

BSC Group: Earth Sciences - Global Health Resilience Group

Researcher/s:

Bruno Carvalho, Daniela Lührsen, Emily Ball, Raúl Capellán, Raquel Lana, Alba Llabrés Brustenga, Diana Urquiza, Antonia Frangeskou, Diego Villa, Antony Barja, Edgar Manrique, Yomali Aroa Ferreyra Chombo, Diego Irreño, Erick Lozano, Juan Montenegro, Erick Lantigua, Maurico Santos-Vega, Gabriel Carrasco Escobar, Rachel Lowe

Description:

HARMONIZE acts as a “data-fusion engine”: public-health agencies, NGOs and researchers swap weeks of manual data wrangling for automated, reproducible pipelines that integrate climate, environment and health information.

The tools handle everything from data acquisition and formatting to pre- and post-processing, creating harmonised datasets at the desired spatiotemporal resolution. All processes are integrated into (semi-)automated workflows. Enabling users to link, interrogate and extract multi-scale spatiotemporal data, to understand the connections between environmental change and infectious disease risk in their local context, and build robust early warning and response systems in low-resource settings.

Value Proposition:

Automating Climate-Health Data Integration

Aplication areas:

Climate Change, Public Health, Environmental Health

Target market:

Logistics and Urban Mobility; Environmental Health; Risk Management service providers; B2G

Technology Readiness Level (1-9): 6

Protection:

GPL License (Version 3.0)

More information

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