Evidence map›Paper›PMID 40741512›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Leptospirosis? An epidemiologic investigation following the historic 2024 floods in Rio Grande do Sul, Brazil.

Christopher J Hernandez, Greici Gunzel, Clarice Ritter, Roberto Carlos Freitas Bugs, Thiago Rocha, Trevon Fuller, Patricia Brasil, Ivana Rosângela Dos Santos Varella, Maria da Graça Pimenta Machado, Carina Guedes Ramos and 4 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Christopher J HernandezUCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Greici GunzelDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Clarice RitterDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Roberto Carlos Freitas BugsDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Thiago RochaDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Trevon FullerInstituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil.
Patricia BrasilInstituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil.
Ivana Rosângela Dos Santos VarellaDepartment of Epidemiology and Public Health, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Maria da Graça Pimenta MachadoDepartment of Epidemiology and Public Health, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Carina Guedes RamosDepartment of Epidemiology and Public Health, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Ângela Piccoli ZieglerDepartment of Epidemiology and Public Health, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Breno Riegel SantosDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Marineide Gonçalves de MeloDepartment of Infectious Diseases, Hospital Nossa Senhora da Conceição, Sistema Único de Saúde, Porto Alegre, Brazil.
Karin Nielsen-SainesDepartment of Pediatrics, Division of Pediatric Infectious Diseases, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.

Funding

UCLA AIDS Prevention and Treatment Clinical Trials UnitUM1AI069424 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Judith S. Currier, RAPHAEL J LANDOVITZ · 2012 to 2026
$51.8M
NIAID NIH HHS UM1 AI069424
6 · The paper itself

Abstract

In May 2024, the Brazilian state of Rio Grande do Sul experienced an historic flood that affected millions of people. Hundreds of thousands of people were displaced by the record-breaking flood waters, exposing them to water-borne pathogens, including leptospirosis. With concern for an outbreak, local efforts focused on identifying and treating any potential cases of leptospirosis. Using data from a local database for people presenting with signs and symptoms compatible with leptospirosis, we conducted a retrospective-prospective cohort study to estimate the incidence of confirmed cases. Of 539 patients reported to the database, a total of 485 patients were tested for leptospirosis and 303 were tested for Dengue (with 283 testing for both pathogens). We found 17 (3.5 %) confirmed cases of leptospirosis and 102 (33.7 %) confirmed cases of dengue fever. Most tested negative for both, with several confirmed cases of Hantavirus, Influenza A, and HIV. Although there were no significant differences between diagnoses and exposure risk factors, we did find several clinical differences, including headache, respiratory symptoms, diarrhea, acute kidney injury, jaundice, bleeding diathesis, and pulmonary hemorrhage. Leptospirosis was also found to be significantly associated with adverse clinical outcomes when compared to both dengue and the Unrelated/Unknown illness group and more likely to be of the male sex. These data reinforce the need for broader systematic surveillance for pathogens that may circulate in the event of major environmental disasters. Further, stronger diagnostics are urgently needed to distinguish between the causes of largely febrile outbreak in the face of a changing climate.

Indexed as

DengueFloodLeptospirosisOutbreak investigationSouth BrazilVector-borneZoonotic

Identifiers

PMID40741512
PMCPMC12309501

What OpenQuestion holds

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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.