ArticleEcoHealth2026
Green Areas, Environmental Index, and Arbovirus Transmission Under Climate Change in Brazil.
Article in EcoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
5 authors.
Funding
Abstract
Arbovirus infections remain a major challenge for health policies in large cities in tropical regions, where outbreaks and epidemics of these diseases are frequent. However, many policies still operate in a fragmented manner, without considering the interdependence between climate, urbanization, and health, making it difficult to control and prevent these diseases. This study aimed to identify the urban environmental and socioeconomic conditions related to cases of dengue, chikungunya, and Zika in the city of Salvador, Brazil. Data were analyzed using bivariate maps and canonical correspondence analysis (CCA). The results demonstrated that vulnerability to these diseases transcends socioeconomic factors and covers urban infrastructure and environmental conditions. The most recurrent disease was dengue, with 75% infections, and was strongly associated with higher percentages of green cover and better sanitation indexes, but with lower socio-environmental quality indexes. Chikungunya and Zika followed a different pattern. The results of this research are expected to contribute to improving strategies for controlling arbovirus outbreaks in tropical regions, as well as strengthening the resilience of these regions to the challenges imposed by climate change.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.