Evidence map›Paper›PMID 42258571›Full record

ArticlePLOS global public health2026

Detection of pathogenic leptospires in water bodies in neighborhoods vulnerable to flooding, through a participatory research approach in Santa Fe (Argentina).

Julieta V Carletti, Eva C Rueda, Juliana Sesma, Maximiliano A Cristaldi, Tamara Ricardo, Celeste Medrano, Christian A Avalos, Diego A Mendicino, Maria Andrea Previtali

Abstract read
In one paragraph

Article in PLOS global public health, 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

9 authors.

Julieta V CarlettiConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.ORCID https://orcid.org/0009-0001-3939-6028
Eva C RuedaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Juliana SesmaCAECIHS, Universidad Abierta Interamericana, Rosario, Argentina.ORCID https://orcid.org/0000-0002-5670-3616
Maximiliano A CristaldiConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Tamara RicardoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-0921-2611
Celeste MedranoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.
Christian A AvalosConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.ORCID https://orcid.org/0009-0002-2882-2228
Diego A MendicinoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-6476-0872
Maria Andrea PrevitaliConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-8205-3872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify areas with the presence of pathogenic Leptospira in marginalized neighborhoods of Santa Fe, Argentina, through a participatory research approach. Additionally, we aimed to optimize a low-cost and sensitive detection method suitable for public sector laboratories in resource-limited settings. Three neighborhoods highly vulnerable to hydrological risks and leptospirosis outbreaks-Colastiné Sur, La Vuelta del Paraguayo, and Chalet-were selected. A series of meetings with local residents were conducted to discuss the risks of leptospirosis and to collaboratively map high-priority water sampling sites based on local knowledge and perceived exposure. Community members then participated actively in sample collection and documentation of environmental conditions. In parallel, we optimized a DNA extraction and qPCR protocol tailored for complex environmental matrices, enabling the sensitive detection of pathogenic Leptospira. Leptospira DNA was detected in 21.1% of the 33 water samples collected: 9.09% in La Vuelta del Paraguayo, 18.18% in Chalet, and 36.36% in Colastiné Sur. The results were subsequently shared and discussed with community members, fostering a dialogue between scientific findings and local knowledge. This study is the first of its kind in Santa Fe and highlights the dual value of community engagement in environmental health surveillance and the implementation of an affordable and robust molecular tool for leptospirosis monitoring. Our findings illustrate how integrating participatory mapping with environmental sampling can guide the molecular detection of Leptospira in urban water bodies-an approach that has rarely been documented-and underscore the potential of combining local knowledge and accessible molecular tools to strengthen public health responses in flood-prone settings.

Identifiers

PMID42258571
PMCPMC13245871

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.