TY - JOUR
T1 - Seasonality of respiratory syncytial virus and its association with meteorological factors in 13 European countries, week 40 2010 to week 39 2019
AU - European RSV Surveillance Network
AU - Li, You
AU - Wang, Xin
AU - Broberg, Eeva K.
AU - Campbell, Harry
AU - Nair, Harish
AU - Redlberger-Fritz, Monika
AU - Emborg, Hanne Dorthe
AU - Trebbien, Ramona
AU - Ellis, Joanna
AU - Bernal, J. L.
AU - Sadikova, Olga
AU - Dotsenko, Liidia
AU - Danis, Kostas
AU - Vaux, Sophie
AU - Buda, Silke
AU - Reiche, Janine
AU - Papa, Anna
AU - Domegan, Lisa
AU - Dunford, Linda
AU - Meijer, Adam
AU - Teirlinck, Anne C.
AU - Szymanski, Karol
AU - Brydak, Lidia B.
AU - Rodrigues, Ana Paula
AU - Guiomar, Raquel
AU - McMenamin, Jim
AU - Primrose, Louise Shaw
AU - Socan, Maja
AU - Prosenc, Katarina
AU - Oliva, Jesús
AU - Casas, Inmaculada
AU - Cottrell, Simon
AU - Moore, Catherine
N1 - Publisher Copyright:
© 2022 European Centre for Disease Prevention and Control (ECDC). All rights reserved.
PY - 2022/4/21
Y1 - 2022/4/21
N2 - Background: Respiratory syncytial virus (RSV) is the predominant cause of clinical pneumonia among infants and young children, often peaking during the winter months in temperate regions. Aim: To describe RSV seasonality in 13 European countries and examine its association with meteorological factors. Methods: We 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. Results: All 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). Conclusion: Meteorological 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.
AB - Background: Respiratory syncytial virus (RSV) is the predominant cause of clinical pneumonia among infants and young children, often peaking during the winter months in temperate regions. Aim: To describe RSV seasonality in 13 European countries and examine its association with meteorological factors. Methods: We 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. Results: All 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). Conclusion: Meteorological 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.
UR - http://www.scopus.com/inward/record.url?scp=85128632080&partnerID=8YFLogxK
U2 - 10.2807/1560-7917.ES.2022.27.16.2100619
DO - 10.2807/1560-7917.ES.2022.27.16.2100619
M3 - Article
C2 - 35451364
AN - SCOPUS:85128632080
SN - 1025-496X
VL - 27
JO - Eurosurveillance
JF - Eurosurveillance
IS - 16
ER -