ArticleScientific data2025
A Pan-Amazonian dataset integrating 20 years of respiratory, cardiovascular, zoonotic and vector-borne disease cases and landscape changes.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Coxiella burnetii in free-living feral pigs (Sus scrofa) in Brazil.Memorias do Instituto Oswaldo Cruz · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As anthropogenic pressures continue to impact the environment, human health is expected to be subsequently affected. This dataset provides a comprehensive view of the trends and burden of infectious diseases, along with environmental metrics, across the Amazon biome between 2000 and 2019. The dataset includes health indicators for respiratory, cardiovascular, and major zoonotic and vector-borne diseases (Chagas disease, hantavirus, cutaneous leishmaniasis, visceral Leishmaniasis, rickettsial diseases, and malaria), compiled as annual case counts at the municipal level. The innovation of this dataset lies in its unprecedented assembly of data for this transboundary biome-much of it requiring ground-level collection beyond available in online repositories. By integrating health and environmental indicators, this dataset offers a unique resource for analyzing the complex relationships between environmental transformations and health outcomes. It supports future research informing evidence-based public health strategies, and conservation efforts to address the interconnected socio-environmental challenges of this cornestone of planetary health, home to more than 30 million people.
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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.