Observational studyBMC public health2025
Urban environment and RSV: a retrospective observational study of neighbourhood factors associated with the risk of severe disease in the infant population of a metropolitan area, Lyon, France.
Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Assessing environmental exposures in children: toward a comprehensive exposome approach.Pediatric research · 2026Review
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere acute respiratory infections (SARI) caused by a human respiratory syncytial virus (RSV) are a leading cause of hospitalisation among infants. We aimed to estimate the incidence of RSV SARI across neighbourhoods in the Lyon metropolitan area and to assess how urban environmental factors at the metropolitan scale are associated with spatial variation in incidence.
methodsLaboratory-confirmed cases of RSV SARI (< 2 years of age) were extracted from the university hospitals of Lyon laboratory database 2015-2023. We calculated and mapped the incidence to assess spatial variation. Remote sensing data were used to derive spectral indices characterising the metropolitan area and to model temperature and air humidity at this scale. Temporal and spatial regression models were fitted using variables selected based on prior knowledge and data availability.
resultsCumulative incidence varied significantly across neighbourhoods (0 to 1166 cases per 100,000 people at risk; p-value < 0.001). The best spatial multivariate model (r
conclusionsSubstantial neighbourhood-level differences in RSV SARI incidence exist in a large European metropolis. These differences are associated with the urban environment such as particulate pollution. The use of spectral indices shows promise in identifying vulnerable populations within cities to guide public health measures and to integrate public health and urban planning.
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