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

IF 3.4 2区 医学 Q1 PARASITOLOGY
PLoS Neglected Tropical Diseases Pub Date : 2025-09-05 eCollection Date: 2025-09-01 DOI:10.1371/journal.pntd.0013477
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, Mitermayer G Reis, Albert I Ko, Peter J Diggle, Guilherme S Ribeiro, Michael Begon, Federico Costa, Hussein Khalil, Max T Eyre
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引用次数: 0

Abstract

Background: Chikungunya 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 findings: A 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.

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地形和环境缺陷与巴西萨尔瓦多城市非正式住区的基孔肯雅病毒暴露有关。
背景:基孔肯雅病毒(CHIKV)是一种具有重大全球公共卫生负担的虫媒病毒。界定个人行为、家庭、自然和建筑环境对CHIKV传播的具体影响对于减少城市非正式住区的风险非常重要,但由于其环境异质性,具有挑战性。本研究的目的是量化巴西一个大城市的四个城市社区之间和内部的CHIKV血清患病率的变化,并确定个人、家庭和环境因素对血清阳性的各自贡献。方法/主要发现:2018年在巴西萨尔瓦多的四个低收入社区进行了横断面血清学调查,收集了1318名参与者的个人、家庭和CHIKV IgG血清学数据。高风险环境特征的精细比例尺社区地图和遥感环境数据被用于改善家庭附近微环境的特征。我们将危险因素分为三个领域——个人、家庭和环境,并使用二项混合效应模型来确定与CHIKV血清阳性的关联。3个社区的CHIKV血清阳性率分别为4.8%、6.1%和4.3%,1个社区的感染率分别为22.6%。与血清阳性相关的唯一个体域变量是男性(OR 1.67, 95% CI 1.11 - 2.36),但一些环境变量,包括居住在陡峭山坡上的房子,中至高海拔,附近有地表水,与较高的血清阳性相关。结论/意义:我们的研究结果表明,在邻近社区之间和社区内的精细空间尺度上,CHIKV暴露风险可能存在显著差异,并且可能更多地受到蚊子孳生场所的可用性而不是个体暴露模式的驱动。他们认为,环境缺陷和地形(城市化程度和洪水风险等几个环境过程的代表)可能在这两个尺度上的风险驱动中发挥重要作用。
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来源期刊
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases PARASITOLOGY-TROPICAL MEDICINE
自引率
10.50%
发文量
723
期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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