Evidence map›Paper›PMID 41951749›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Rainfall events and mortality in Brazil.

Weeberb J Requia, Erick Frederico Kill, Salil V Deo

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Weeberb J RequiaCenter for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil. weeberb.requia@fgv.br.ORCID http://orcid.org/0000-0002-7564-3364
Erick Frederico KillCenter for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil.
Salil V DeoCase School of Medicine, Case Western Reserve University, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtreme rainfall is expected to intensify with climate change, yet short-term health effects can plausibly be harmful (flooding, contamination, access disruption) or protective (pollution washout, cooling). Robust, comparable evidence at national scale is scarce for Brazil.

objectiveWe analyzed daily mortality for all-cause, cardiovascular, respiratory, and infectious outcomes across all Brazilian municipalities from 2003-2023.

methodsRainfall extremes were defined hydrologically using regional frequency analysis. In the first stage, we fit state-level conditional quasi-Poisson models with distributed-lag nonlinear terms for rainfall (exposure) and temperature (confounder), cumulating effects over lags 0-14. In the second stage, we pooled reduced exposure-response coefficients using multivariate random-effects meta-analysis to obtain national curves.

resultsWe found substantial between-state heterogeneity. For all outcomes, some states showed positive associations on extreme-rain days, while others showed protective or null effects. Protective associations were common in parts of the South/Southeast (consistent with pollution washout/cooling), whereas in other states the results suggest positive associations, compatible with flooding, contamination, or access disruption. In contrast, the national pooled curves were not statistically significant across all the range of exposure for all-cause, cardiovascular, respiratory, or infectious mortality. SIGNIFICANCE: Short-term mortality responses to extreme rainfall in Brazil are context-dependent, varying with climate regime, sanitation and drainage, emission profiles, vector ecology, housing, and health-system robustness. A single national effect obscures local vulnerability. Adaptation should be state-tailored-combining drainage/sanitation upgrades, vector control, continuity of emergency care, and maintenance of air-quality gains during wet periods. IMPACT: Our findings suggest state-level heterogeneity. National pooled effects are null, but several states show elevated risk. Findings guide subnational adaptation in drainage, health, and air quality.

Indexed as

CardiovascularExtreme rainfallInfectious diseasesMortalityRespiratory

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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.