Evidence map›Paper›PMID 40731065›Full record

ArticleScientific reports2025

Additive effect of wildfires on hospital admission in the Pantanal wetland, Brazil.

André Calixto Gonçalves, Marcelo Marques de Magalhães, Gustavo Andrey de Almeida Lopes Fernandes, Ivan Filipe Fernandes, Kaylane de Almeida Faria, Gabriel Alexandre Dos Santos, R Valentim, Gabriela Moraes do Nascimento, Francisco Aparecido Rodrigues, Ricardo Ceneviva and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

André Calixto GonçalvesCECS-Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil. andre.calixto@unifesp.br.
Marcelo Marques de MagalhãesSchool of Sciences and Engineering, São Paulo State University, Tupã, SP, Brazil.
Gustavo Andrey de Almeida Lopes FernandesSão Paulo Business School of the Getulio Vargas Foundation (FGV EAESP), São Paulo, Brazil.
Ivan Filipe FernandesCECS-Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.
Kaylane de Almeida FariaDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Gabriel Alexandre Dos SantosDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
R ValentimDepartment of Physics, Federal University of São Paulo, Diadema, Brazil.
Gabriela Moraes do NascimentoDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Francisco Aparecido RodriguesInstitute of Mathematical and Computer Sciences (ICMC), University of São Paulo (USP), São Paulo, Brazil.
Ricardo CenevivaCECS-Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.
Maria Clara Mendes StamaDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Daniel Tetsuo G MoriDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Carolina Nascimento CapelliniDepartment of Environmental Sciences, Federal University of São Paulo, Diadema, Brazil.
Maria Eduarda Feres GarciaDepartment of Environmental Sciences, Federal University of São Paulo, Diadema, Brazil.
Thiago BruschiDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Gabriel Poveda GonçalvesServiço Nacional de Aprendizagem Comercial-SENAC, São Paulo, Brazil.
Laís Costa BritoDepartment of Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil.
Djeansy Djarny Etchiamiadzy ToussaintDepartment of Chemistry Engineering, Federal University of São Paulo, Diadema, Brazil.
Rejane Calixto GonçalvesDepartment of Preventive Medicine, USP Medical School, São Paulo, Brazil.
O C LuizDepartment of Preventive Medicine, USP Medical School, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest fires release toxic pollutants from burning vegetation, posing serious risks to human health. The Brazilian Pantanal-the world's largest continuous wetland-is currently experiencing severe wildfires. This situation may lead to a spike in hospital admissions for respiratory and cardiovascular conditions. To assess the health impacts of these fires on local populations, we applied a generalized linear model incorporating geographic variables, including air quality and climate data. This approach allowed us to evaluate the relationship between active fire outbreaks and hospitalizations among residents of the Pantanal. Our results reveal a troubling pattern: an increase of 10 active fires is associated with a significant rise in daily hospitalizations. Over a 10-year period, the risk of respiratory hospitalizations rose by 23.2%, while cardiovascular hospitalizations increased by 22.3% for every 10 additional fires. These findings underscore the urgent need for preventive action. By forecasting the potential daily rise in hospital admissions, our study offers valuable insights to help Brazilian authorities implement fire mitigation strategies and strengthen the preparedness of the local healthcare system.

Indexed as

Cardiovascular DiseasesFiresHospitalizationPatient AdmissionWetlandsWildfiresBrazilFemaleHumansMaleBrazilian pantanalCardiovascular diseasesForest firesGeneral linear modelHospital admissionRespiratory diseases

Identifiers

PMID40731065
PMCPMC12307731

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.