Evidence map›Paper›PMID 41021620›Full record

Observational studyPLoS neglected tropical diseases2025

Leptospirosis in Campinas, Brazil: The interplay between drainage, impermeable areas, and social vulnerability.

Thiago Salomão de Azevedo, Shahista Nisa, Stuart Littlejohn, Renata L Muylaert

Abstract readObservational Study
In one paragraph

Observational study in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Thiago Salomão de AzevedoSecretary of Health, Municipality of Santa Barbara d'Oeste, Sao Paulo, Brazil.ORCID 0000-0003-4802-0927
Shahista NisaSchool of Veterinary Science, Massey University, Palmerston North, New Zealand.ORCID 0000-0003-1721-0808
Stuart LittlejohnSchool of Veterinary Science, Massey University, Palmerston North, New Zealand.ORCID 0009-0002-3780-5710
Renata L MuylaertSydney School of Veterinary Science, The University of Sydney, Sydney, Australia.ORCID 0000-0002-6466-6210

Funding

Australian Research Council Australian Laureate FellowshipMassey University FoundationMorris Trust
6 · The paper itself

Abstract

Leptospirosis is an epidemic disease caused by bacteria of the Leptospira genus. Its risk is closely associated with inadequate sanitation and flooding, a common public health challenge in large urban centers together with urban environmental modifications, and socio-economic factors. This retrospective observational research investigated the association between the distribution of leptospirosis cases and three contextual factors, drainage, soil impermeability and social vulnerability in Campinas city, São Paulo, Brazil. We hypothesized that the number of cases will increase in areas that are impermeable and in proximity to drainage systems as well as where social vulnerability is high. We investigated the associations based on 86 autochthonous cases, comparing cases where infection risk was linked to contact with floodwater or mud (n = 54) to cases associated with other exposures (n = 32). Spatial statistics were used to map disease distribution and investigate the relationship between leptospirosis cases and contextual factors. Our results indicate that leptospirosis cases density rises near drainage systems, peaking at 200 m. Risk is elevated in socially vulnerable areas, particularly where floodwater or mud exposure is high, and in highly impermeable areas. This study demonstrated that leptospirosis risk remains highly determined by living and working conditions. These findings support targeted strategies to deliver effective prevention, treatment and control interventions in highly populated urban areas of the Global South and similar contexts. Furthermore, combining local contextual environmental information with spatial analysis produces relevant evidence for guiding health public policy and spatial planning and provides precise parameters for future epidemiological models and prevention actions.

Indexed as

LeptospirosisAdolescentAdultAgedBrazilChildFemaleFloodsHumansLeptospiraMaleMiddle AgedRetrospective StudiesRisk FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID41021620
PMCPMC12571306

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.