Evidence map›Paper›PMID 39915862›Full record

ArticleBMC research notes2025

Climate catastrophe in Rio Grande do sul, Brazil: impact of strategic actions in response to flooding.

Priscila Bárbara Zanini Rosa, Giovana Munhoz de Oliveira, Monique Pimentel, Melina Schuch, Jonas Wolf

Abstract read
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Priscila Bárbara Zanini RosaNúcleo de Apoio à Pesquisa, Hospital Moinhos de Vento, R. Ramiro Barcelos, 910 - Moinhos de Vento, 90035-000, Porto Alegre, Rio Grande do Sul, Brazil. priscila.zanini@hmv.org.br.
Giovana Munhoz de OliveiraInstituto Moinhos Social, Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil.
Monique PimentelInstituto Moinhos Social, Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil.
Melina SchuchSuperintendência de Estratégia e Mercado, Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil.
Jonas WolfNúcleo de Apoio à Pesquisa, Hospital Moinhos de Vento, R. Ramiro Barcelos, 910 - Moinhos de Vento, 90035-000, Porto Alegre, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn May 2024, Rio Grande do Sul, Brazil, faced the greatest climate catastrophe in its history when a flood affected approximately 90% of the entire state territory. This study aimed to describe the strategic actions of volunteers gathered by a social institution linked to a private hospital in southern Brazil and their impacts on the affected community.

methodsDescriptive study, based on the experience of the team at the Instituto Moinhos Social (IMS) - Hospital Moinhos de Vento (Rio Grande do Sul - Brazil), which brought together a group of volunteers to develop actions in response to the flood. Between 05/01/2024 and 07/31/2024, the IMS organized donations of basic items, health care, and monetary donations to recover goods for people affected by the flood. RESULTS DESCRIPTION: The IMS had 583 volunteers working in the phase of receiving, organizing, and distributing donations and 208 health professionals for emergency care, mental health, and telemedicine. In total, approximately 317 thousand basic items were organized and distributed, which benefited almost 100 thousand people; 1044 people received health care; and 490 families received vouchers worth R$2,500 (US$455,66) for the recovery of material goods.

Indexed as

Climate ChangeDisaster PlanningDisastersFloodsVolunteersBrazilHumansClimate changeFloodsPublic healthSocial VulnerabilityVolunteers

Identifiers

PMID39915862
PMCPMC11803925

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.