ArticleCadernos de saude publica2026
[Between the unknown and the emerging: mapping the Oropouche and Mayaro viruses in Brazil].
Article in Cadernos de saude publica, 2026. 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.
- Sentinel surveillance of acute febrile illness in a Brazilian Amazon region: laboratory findings and epidemiological implications.Revista do Instituto de Medicina Tropical de Sao Paulo · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Arboviruses are infectious diseases caused by arthropod-transmitted viruses. Before the introduction of the Chikungunya and Zika viruses in Brazil, the Oropouche virus (OROV) was the second most prevalent arbovirus in humans, behind only Dengue. Currently, the Mayaro virus (MAYV) and OROV stand out as important viral agents, especially in the Amazon Region. Despite the considerable impact, cases of OROV and MAYV remain neglected and underreported. The aim of the present study was to analyze the geospatial distribution of cases of OROV and MAYV to assist in the implementation of control measures. For such, a cross-sectional study was conducted using secondary data obtained via Fala.BR from the Laboratory Environment Manager and the Brazilian Institute of Geography and Statistics on Mayaro fever and Oropouche fever, including laboratory records and population-based information for epidemiological and spatial analysis. A total of 16,571 cases of OROV and 379 cases of MAYV were analyzed. The spatial analysis revealed clusters of the high incidence (high-high) of OROV in the North Region and the state of Espírito Santo. High-high clusters of MAYV were found in the North Region and points in the Central-West. The overlap between deforestation in the Amazon and the incidence of cases suggests a spatial relationship. The areas with the highest incidence coincide with intensely deforested regions. The increase in cases of MAYV and OROV may be linked to the decentralization of the diagnosis and active search in negative samples. The cases are concentrated in the North, where environmental and social factors favor transmission, especially in vulnerable populations. There is evidence of a relationship between incidence and deforestation. MAYV also has an apparent association with environmental degradation.
Indexed as
Identifiers
What OpenQuestion holds
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.