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Co-designing in Tandem
The study tests the Tandem framework—a non-prescriptive guide for co-designing climate services—in Indonesia, Sweden, and Colombia. The authors found the framework effective in transforming climate information from 'useful' to 'usable' by building trust and institutional embedding. Based on these cases, the framework was enhanced to better incorporate vulnerability scoping, social equity, traditional knowledge, governance scales, and impact indicators.
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Document type: Research paper
Condiciones ambientales afectan salud humana en la selva amazónica
The LUCIA project developed a computational Agent-Based Model (MBA) to simulate malaria transmission by accounting for the interactions between mosquitoes, parasites, and humans. Validated in regions of Brazil, Ecuador, and Peru, the model demonstrates that land-use changes—such as deforestation, mining, and agricultural expansion—combined with climate factors like river flooding, increase human vulnerability to malaria. Findings indicate that risk is higher for isolated homes on the outskirts of populations compared to central areas. The research suggests that managing larval breeding sites within 200 meters of populations can eliminate disease transmission, and notes that Ecuador has already modified its mining policies as a result.
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Document type: Fact sheet