Evidence map›Paper›PMID 42417807›Full record

ArticleRevista de saude publica2026

Hydrological disasters and health losses: an index-based analysis for Brazil.

Gisele Paixão Pereira, José Firmino de Sousa Filho, Thomás Rocha Ferreira, Paulo Victor Maciel da Costa, Andrêa Jacqueline Forte Ferreira, Julia Moreira Pescarini, Joanna Miguez Nery Guimarães, Sofia Rafaela Maito Velasco, Danielson Jorge Delgado Neves, Jean Souza Dos Reis and 5 more

Abstract read
In one paragraph

Article in Revista de saude publica, 2026. 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

15 authors.

Gisele Paixão PereiraFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-5859-1822
José Firmino de Sousa FilhoFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0001-5057-385X
Thomás Rocha FerreiraUniversidade Federal de Alagoas. Instituto de Ciências Astronômicas. Maceió, AL, Brasil.ORCID http://orcid.org/0000-0002-9203-0068
Paulo Victor Maciel da CostaFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-8326-2131
Andrêa Jacqueline Forte FerreiraFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-6884-3624
Julia Moreira PescariniLondon School of Hygiene and Tropical Medicine. Faculty of Epidemiology and Population Health. London, United Kingdom.ORCID http://orcid.org/0000-0001-8711-9589
Joanna Miguez Nery GuimarãesFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-6283-1008
Sofia Rafaela Maito VelascoFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-4323-0848
Danielson Jorge Delgado NevesInstituto Nacional de Pesquisas Espaciais. Cachoeira Paulista, SP, Brasil.ORCID http://orcid.org/0000-0002-1603-4980
Jean Souza Dos ReisFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-1674-7518
Kecia Cristina Miranda da SilvaUniversidade Federal da Bahia. Faculdade de Economia. Departamento de Economia. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-2977-9084
Gervásio Ferreira Dos SantosFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-3545-3590
Rita de Cássia Ribeiro SilvaFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-8387-9254
Roberto Fernandes Silva AndradeFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-9323-1400
Maurício Lima BarretoFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-0215-4930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and apply composite indices to assess immediate losses caused by hydrological disasters in Brazil between 2000 and 2023, with a focus on human losses and damages to health infrastructure.

methodsData were obtained from the Integrated Disaster Information System, which consolidates national records of hydrological disasters. Seven indicators were selected for the Human Loss Index and four for the Health Infrastructure Loss Index. Indicators were normalized using Min-Max procedures and weighted through a combined Analytic Hierarchy Process and entropy method. The General Severity Index was calculated as the arithmetic mean of Human Loss Index and Health Infrastructure Loss Index, stratified into four levels of severity. Spatial and temporal analyses were conducted to identify critical regions and municipalities.

resultsThe findings reveal significant heterogeneity in disaster impacts across time and space. Human losses exhibited greater variability than health infrastructure losses, with notable peaks in 2006, 2011, 2015, and 2019. Infrastructure damages were less frequent but highly disruptive, especially in 2012, 2019, and 2023. Municipalities in the Amazon region, particularly Japurá and Atalaia do Norte, registered the highest combined indices, reflecting compounded vulnerabilities from geographic isolation, fragile infrastructure, and socioeconomic inequalities. High General Severity Index scores were concentrated in the North, while human losses were more widely distributed, including along the densely populated southeastern coast. Results confirm that small and socioeconomically vulnerable municipalities are disproportionately affected, with limited institutional capacity to respond.

conclusionsHydrological disasters in Brazil are strongly mediated by social inequalities, deficient urban planning, and weak preventive policies. Human and infrastructure losses disproportionately affect vulnerable populations, particularly in the North, where access to health services is precarious. The findings emphasize the need for territorially integrated strategies that combine climate adaptation, poverty reduction, and investments in resilient public health infrastructure.

Indexed as

DisastersBrazilDisaster PlanningHumansPublic Health InfrastructureSocioeconomic Factors

Identifiers

PMID42417807
PMCPMC13336744

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Registered trials

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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.