Evidence map›Paper›PMID 40911655›Full record

ArticlePLoS neglected tropical diseases2025

Topography and environmental deficiencies are associated with chikungunya virus exposure in urban informal settlements in Salvador, Brazil.

Catherine Tamera Travis, Hernán D Argibay, Maysa Pellizzaro, Daiana de Oliveira, Roberta Santana, Fabiana Almerinda G Palma, Ricardo Lustosa, Juliet Oliveira Santana, Fábio Neves Souza, Yeimi Alexandra Alzate López and 8 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. 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

18 authors.

Catherine Tamera TravisSouthern Nevada Health District, Las Vegas, Nevada, United States of America.ORCID 0009-0004-7315-2037
Hernán D ArgibayFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Maysa PellizzaroFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Daiana de OliveiraFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Roberta SantanaFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Fabiana Almerinda G PalmaFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Ricardo LustosaLaboratory of Geotechnologies Applied to Sciences, Federal University of Western Bahia, Barra, Bahia, Brazil.
Juliet Oliveira SantanaFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Fábio Neves SouzaFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Yeimi Alexandra Alzate LópezFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.
Mitermayer G ReisGonçalo Moniz Institute, Oswaldo Cruz Foundation, Ministry of Health, Salvador, Bahia, Brazil.
Albert I KoGonçalo Moniz Institute, Oswaldo Cruz Foundation, Ministry of Health, Salvador, Bahia, Brazil.
Peter J DiggleLancaster University, Lancaster Medical School, Lancaster, United Kingdom.
Guilherme S RibeiroGonçalo Moniz Institute, Oswaldo Cruz Foundation, Ministry of Health, Salvador, Bahia, Brazil.
Michael BegonDepartment of Evolution, Ecology and Behaviour, The University of Liverpool, Liverpool, United Kingdom.
Federico CostaFederal University of Bahia, Collective Health Institute, Salvador, Bahia, Brazil.ORCID 0000-0001-6951-2336
Hussein KhalilDepartment of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.
Max T EyreEnvironmental Health Group, Faculty of Infectious Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
Disease Determinants of Urban LeptospirosisU01AI088752 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2010 to 2014
$3.6M
Natural History of Urban LeptospirosisR01AI052473 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2003 to 2013
$2.8M
Ecoepidemiology of leptospirosis in the urban slums of BrazilR01TW009504 · FIC · YALE UNIVERSITY · PI BEGON, MICHAEL, CHILDS, JAMES EMORY · 2012 to 2016
$2.2M
Rodent Population Dynamics and Leptospirosis Infection in Urban Slum EnviornmentsF31AI114245 · NIAID · YALE UNIVERSITY · PI HACKER, KATHRYN PATRICIA · 2014 to 2015
$55k
FIC NIH HHS D43 TW010540FIC NIH HHS R01 TW009504FIC NIH HHS R25 TW009338NIAID NIH HHS F31 AI114245NIAID NIH HHS R01 AI052473NIAID NIH HHS U01 AI088752Wellcome Trust
6 · The paper itself

Abstract

backgroundChikungunya virus (CHIKV) is an arbovirus with a significant global public health burden. Delineating the specific contributions of individual behaviour, household, natural and built environment to CHIKV transmission is important for reducing risk in urban informal settlements but challenging due to their heterogeneous environments. The aim of this study was to quantify variation in CHIKV seroprevalence between and within four urban communities in a large Brazilian city, and identify the respective contributions of individual, household, and environmental factors for seropositivity. METHODOLOGY/PRINCIPAL

findingsA cross-sectional serological survey was conducted in four low-income communities in Salvador, Brazil in 2018 to collect individual, household and CHIKV IgG serology data for 1318 participants. Fine-scale community mapping of high-risk environmental features and remotely sensed environmental data were used to improve characterisation of the microenvironment close to the household. We categorised risk factors into three domains - individual, household, and environmental and used binomial mixed-effect models to identify associations with CHIKV seropositivity. CHIKV seroprevalence was 4.8%, 6.1% and 4.3% in three communities and 22.6% in one community which had a distinct topographical profile. The only individual domain variable associated with seropositivity was male sex (OR 1.67, 95% CI 1.11 - 2.36), but several environmental variables, including living in a house on a steep hillside, at medium to high elevations, and with surface water nearby, were associated with higher seropositivity. CONCLUSIONS/SIGNIFICANCE: Our findings indicate that CHIKV exposure risk can vary significantly between nearby communities and at fine spatial scales within communities and is likely to be driven more strongly by the availability of mosquito breeding sites rather than individual exposure patterns. They suggest that environmental deficiencies and topography, a proxy for several environmental processes including the degree of urbanisation and flooding risk, may play an important role in driving risk at both of these scales.

Indexed as

Chikungunya FeverChikungunya virusAdolescentAdultAgedAntibodies, ViralBrazilChildChild, PreschoolCross-Sectional StudiesEnvironmentFamily CharacteristicsFemaleHumansImmunoglobulin GMaleAntibodies, ViralImmunoglobulin G

Identifiers

PMID40911655
PMCPMC12440227

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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.