{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T18:53:26Z","timestamp":1790103206419,"version":"4.0.1"},"reference-count":70,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005746","name":"Universidad Nacional del Litoral","doi-asserted-by":"publisher","award":["CAID orientado 2.17"],"award-info":[{"award-number":["CAID orientado 2.17"]}],"id":[{"id":"10.13039\/501100005746","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosglobalpublichealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Glob Public Health"],"abstract":"<jats:p>\n                    This study aimed to identify areas with the presence of pathogenic\n                    <jats:italic>Leptospira<\/jats:italic>\n                    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\u2014Colastin\u00e9 Sur, La Vuelta del Paraguayo, and Chalet\u2014were 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\n                    <jats:italic>Leptospira<\/jats:italic>\n                    .\n                    <jats:italic>Leptospira<\/jats:italic>\n                    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 Colastin\u00e9 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\n                    <jats:italic>Leptospira<\/jats:italic>\n                    in urban water bodies\u2014an approach that has rarely been documented\u2014and underscore the potential of combining local knowledge and accessible molecular tools to strengthen public health responses in flood-prone settings.\n                  <\/jats:p>","DOI":"10.1371\/journal.pgph.0006447","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T17:49:51Z","timestamp":1780940991000},"page":"e0006447","update-policy":"https:\/\/doi.org\/10.1371\/journal.pgph.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Detection of pathogenic leptospires in water bodies in neighborhoods vulnerable to flooding, through a participatory research approach in Santa Fe 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