Evidence map›Paper›PMID 40259259›Full record

ArticleBMC public health2025

How to assess the severity of bronchiolitis epidemics? Application of the Moving Epidemic Method in Nouvelle-Aquitaine, France from 2017 to 2023.

Caroline Couturier, Pascal Vilain, Lindsay S Cooley, Laurent Filleul

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Caroline CouturierSanté Publique France, Cellule en Région Nouvelle-Aquitaine, Bordeaux, France.
Pascal VilainSanté Publique France, Cellule en Région Nouvelle-Aquitaine, Bordeaux, France. pascal.vilain@santepubliquefrance.fr.
Lindsay S CooleySanté Publique France, Cellule en Région Nouvelle-Aquitaine, Bordeaux, France.
Laurent FilleulSanté Publique France, Cellule en Région Nouvelle-Aquitaine, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn France, early detection of bronchiolitis epidemics relies on a multi-source surveillance system. However, this system is unable to measure epidemic severity in real time. Such information would enable faster alerts to decision-makers and medical facilities, allowing healthcare provision to be adapted more effectively. This additional information would provide healthcare decision-makers and care structures to be alerted more quickly and to adapt their healthcare provision in a reactive way. In this context, we conducted a study to assess the severity of bronchiolitis epidemics in children under two years of age, from 2017/18 to 2022/23, in Nouvelle-Aquitaine, France.

methodsThe Moving Epidemic Method (MEM) was used to assess the severity of bronchiolitis epidemics, based on three indicators, obtained from three data sources: (1) virus transmissibility, using data from the SOS Medecins network; (2) impact on the hospital system, assessed via emergency departments (ED) data and (3) gravity, using hospital data. Epidemic thresholds and intensity levels were determined by estimating the parameters of MEM.

resultsThe 2020/21 epidemic was delayed and less severe compared to preceding seasons (2017-2020) across all indicators. In contrast, the 2021/22 and 2022/23 epidemics began early, with prolonged durations. Notably, the 2022/23 epidemic was particularly severe in terms of its impact on the hospital system.

conclusionsThe intensity of bronchiolitis epidemics in Nouvelle-Aquitaine (2017-2023) was assessed using MEM. This method is a simple, rapid and effective tool for guiding public health interventions.

Indexed as

BronchiolitisEpidemicsSeverity of Illness IndexFemaleFranceHumansInfantInfant, NewbornMaleBronchiolitisEpidemicMoving epidemic methodSeverity assessment

Identifiers

PMID40259259
PMCPMC12010627

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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 Socratic graph.