Evidence map›Paper›PMID 35451364›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2022

Seasonality of respiratory syncytial virus and its association with meteorological factors in 13 European countries, week 40 2010 to week 39 2019.

You Li, Xin Wang, Eeva K Broberg, Harry Campbell, Harish Nair, European RSV Surveillance Network

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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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

6 authors at 4 institutions in 4 countries.

You LiSchool of Public Health, Nanjing Medical University, Nanjing, China.
Xin WangSchool of Public Health, Nanjing Medical University, Nanjing, China.
Eeva K BrobergEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Harry CampbellCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Harish NairCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
European RSV Surveillance NetworkMembers of the network have been listed under Collaborators and at the end of this article.
Nanjing Medical University · CNUniversity of Edinburgh · GBCollaborative Research Group · AUEuropean Centre for Disease Prevention and Control · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundRespiratory syncytial virus (RSV) is the predominant cause of clinical pneumonia among infants and young children, often peaking during the winter months in temperate regions.AimTo describe RSV seasonality in 13 European countries and examine its association with meteorological factors.MethodsWe included weekly RSV seasonality data from 13 European countries between week 40 2010 and week 39 2019. Using local weighted regression method, we modelled weekly RSV activity with meteorological factors using data from the 2010/11 to the 2017/18 season. We predicted the weekly RSV activity of the 2018/19 season across 41 European countries and validated our prediction using empirical data.ResultsAll countries had annual wintertime RSV seasons with a longitudinal gradient in RSV onset (Pearson's correlation coefficient, r = 0.71, 95% CI: 0.60 to 0.80). The RSV season started 3.8 weeks later (95% CI: -0.5 to 8.0) in countries in the eastern vs western parts of Europe, and the duration ranged from 8-18 weeks across seasons and countries. Lower temperature and higher relative humidity were associated with higher RSV activity, with a 14-day lag time. Through external validation, the prediction error in RSV season onset was -2.4 ± 3.2 weeks. Similar longitudinal gradients in RSV onset were predicted by our model for the 2018/19 season (r = 0.45, 95% CI: 0.16 to 0.66).ConclusionMeteorological factors, such as temperature and relative humidity, could be used for early warning of RSV season onset. Our findings may inform healthcare services planning and optimisation of RSV immunisation strategies in Europe.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsChildChild, PreschoolEuropeHumansInfantMeteorological ConceptsSeasonsEuropehumidityRespiratory syncytial virusseasonalitytemperature

Identifiers

PMID35451364
PMCPMC9027150
OpenAlexW4224228307

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.