Evidence map›Paper›PMID 41955211›Full record

ArticlePLOS global public health2026

Collaborative mapping: Perceived environmental risk of leptospirosis in Urban communities in Salvador, Brazil.

Fabiana Almerinda G Palma, Pablo Ruiz Cuenca, Hussein Khalil, Patrícia Lustosa Brito, Marbrisa Nascimento Reis das Virgens, Murilo Guerreiro Arouca, Alexandre Mota Santos, Daiana Santos de Oliveira, Yeimi Alexandra Alzete Lòpez, Diogo César de C Santiago and 4 more

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

14 authors.

Fabiana Almerinda G PalmaInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0002-7345-4914
Pablo Ruiz CuencaCentre for Health Informatics, Computing and Statistics (CHICAS), Health Innovation One, Lancaster University, Lancaster, United Kingdom.ORCID https://orcid.org/0000-0002-2180-9509
Hussein KhalilDepartment of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID https://orcid.org/0000-0001-9982-6387
Patrícia Lustosa BritoPolytechnic School, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0002-3987-7331
Marbrisa Nascimento Reis das VirgensPolytechnic School, Federal University of Bahia, Salvador, Bahia, Brazil.
Murilo Guerreiro AroucaInstitute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil.
Alexandre Mota SantosInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, Bahia, Brazil.
Daiana Santos de OliveiraInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0003-0581-3433
Yeimi Alexandra Alzete LòpezInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0001-6243-9367
Diogo César de C SantiagoDepartamento de Medicina Preventiva e Social, Faculdade de Medicina da Bahia, Federal University of Bahia, Salvador, Brazil.
Michael BegonDepartment of Evolution, Ecology and Behaviour, The University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0003-1715-5327
Emanuele GiorgiCentre for Health Informatics, Computing and Statistics (CHICAS), Health Innovation One, Lancaster University, Lancaster, United Kingdom.ORCID https://orcid.org/0000-0003-0640-181X
Federico CostaInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, Bahia, Brazil.
Ricardo LustosaFederal University of Western Bahia - Campus Barra, Bahia, Brazil.ORCID https://orcid.org/0000-0001-5033-690X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental risks disproportionately affect socially vulnerable populations, yet most studies on urban leptospirosis have not captured residents' perceptions of these risks. We conducted a cross-sectional study between August 2018 and March 2019 across four communities in Salvador, Brazil (Marechal Rondon, Alto do Cabrito, Nova Constituinte, and Rio Sena) using a collaborative mapping approach to explore residents' perceptions of environmental health risks. The majority of participants identified sewage as the primary health risk (26-39% across communities), followed by garbage (22-28%), while leptospirosis itself was perceived as a high-risk problem by very few participants (0-4%). We found no spatial concordance between areas perceived as high risk for leptospirosis and households testing positive for the disease, nor between areas perceived as high rat risk and the locations of positive rat traps and track plates. However, a higher density of rubbish piles was observed in areas residents identified as high rubbish risk, suggesting that perceptions do reflect some on-the-ground realities. Collaborative mapping proved an effective method for capturing individual perceptions of environmental health risks and promoting community participation in generating locally relevant information. The disconnect between perceived and actual transmission risk may reflect that residents are more attuned to the broader social and environmental determinants of leptospirosis, such as sanitation and waste, than to the disease itself, a distinction that warrants further investigation to better integrate community knowledge into disease prevention and control strategies.

Identifiers

PMID41955211
PMCPMC13065017

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LicenceCC BY
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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.