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Abstract

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.

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/content/10.2807/1560-7917.ES.2022.27.16.2100619
2022-04-21
2024-10-31
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2022.27.16.2100619
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References

  1. Shi T, McAllister DA, O’Brien KL, Simoes EAF, Madhi SA, Gessner BD, et al. Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study. Lancet. 2017;390(10098):946-58.  https://doi.org/10.1016/S0140-6736(17)30938-8  PMID: 28689664 
  2. Shi T, Denouel A, Tietjen AK, Campbell I, Moran E, Li X, et al. Global Disease burden estimates of respiratory syncytial virus–associated acute respiratory infection in older adults in 2015: a systematic review and meta-analysis. J Infect Dis. 2020;222(Suppl 7):S577-83.  https://doi.org/10.1093/infdis/jiz059  PMID: 30880339 
  3. Reeves RM, van Wijhe M, Tong S, Lehtonen T, Stona L, Teirlinck AC, et al. Respiratory syncytial virus-associated hospital admissions in children younger than 5 years in 7 European countries using routinely collected datasets. J Infect Dis. 2020;222(Suppl 7):S599-605.  https://doi.org/10.1093/infdis/jiaa360  PMID: 32815542 
  4. Teale A, Deshpande S, Burls A. Palivizumab and the importance of cost effectiveness. BMJ. 2009;338:b1935.  https://doi.org/10.1136/bmj.b1935 
  5. PATH. RSV Vaccine and mAb Snapshot. 2020. Available from: https://www.path.org/resources/rsv-vaccine-and-mab-snapshot
  6. Griffin MP, Yuan Y, Takas T, Domachowske JB, Madhi SA, Manzoni P, et al. Single-dose nirsevimab for prevention of RSV in preterm infants. N Engl J Med. 2020;383(5):415-25.  https://doi.org/10.1056/NEJMoa1913556  PMID: 32726528 
  7. Madhi SA, Polack FP, Piedra PA, Munoz FM, Trenholme AA, Simões EAF, et al. Respiratory Syncytial Virus Vaccination during Pregnancy and Effects in Infants. N Engl J Med. 2020;383(5):426-39.  https://doi.org/10.1056/NEJMoa1908380  PMID: 32726529 
  8. Li Y, Reeves RM, Wang X, Bassat Q, Brooks WA, Cohen C, et al. Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis. Lancet Glob Health. 2019;7(8):e1031-45.  https://doi.org/10.1016/S2214-109X(19)30264-5  PMID: 31303294 
  9. Chadha M, Hirve S, Bancej C, Barr I, Baumeister E, Caetano B, et al. , WHO RSV Surveillance Group. Human respiratory syncytial virus and influenza seasonality patterns-Early findings from the WHO global respiratory syncytial virus surveillance. Influenza Other Respir Viruses. 2020;14(6):638-46.  https://doi.org/10.1111/irv.12726  PMID: 32163226 
  10. Broberg EK, Waris M, Johansen K, Snacken R, Penttinen P, Network EIS, et al.Seasonality and geographical spread of respiratory syncytial virus epidemics in 15 European countries, 2010 to 2016. Euro Surveill. 2018;23(5):17-00284.  https://doi.org/10.2807/1560-7917.ES.2018.23.5.17-00284  PMID: 29409569 
  11. Mollers M, Barnadas C, Broberg EK, Penttinen P, Teirlinck AC, Fischer TK, European Influenza Surveillance Network. Current practices for respiratory syncytial virus surveillance across the EU/EEA Member States, 2017. Euro Surveill. 2019;24(40):1900157.  https://doi.org/10.2807/1560-7917.ES.2019.24.40.1900157  PMID: 31595876 
  12. Sparks AH, Hengl T, Nelson A. GSODR: Global Summary Daily Weather Data in R. J Open Source Softw. 2017;2(10):177.  https://doi.org/10.21105/joss.00177 
  13. R Core Team. R: A Language and Environment for Statistical Computing. 3.6.1. Vienna: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org
  14. Bloom-Feshbach K, Alonso WJ, Charu V, Tamerius J, Simonsen L, Miller MA, et al. Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review. PLoS One. 2013;8(2):e54445.  https://doi.org/10.1371/journal.pone.0054445  PMID: 23457451 
  15. Obando-Pacheco P, Justicia-Grande AJ, Rivero-Calle I, Rodríguez-Tenreiro C, Sly P, Ramilo O, et al. Respiratory Syncytial Virus Seasonality: A Global Overview. J Infect Dis. 2018;217(9):1356-64.  https://doi.org/10.1093/infdis/jiy056  PMID: 29390105 
  16. Caini S, Alonso WJ, Séblain CE-G, Schellevis F, Paget J. The spatiotemporal characteristics of influenza A and B in the WHO European Region: can one define influenza transmission zones in Europe? Euro Surveill. 2017;22(35):30606.  https://doi.org/10.2807/1560-7917.ES.2017.22.35.30606  PMID: 28877844 
  17. Vink MA, Bootsma MCJ, Wallinga J. Serial intervals of respiratory infectious diseases: a systematic review and analysis. Am J Epidemiol. 2014;180(9):865-75.  https://doi.org/10.1093/aje/kwu209  PMID: 25294601 
  18. Li Y, Hodgson D, Wang X, Atkins KE, Feikin DR, Nair H. Respiratory syncytial virus seasonality and prevention strategy planning for passive immunisation of infants in low-income and middle-income countries: a modelling study. Lancet Infect Dis. 2021;21(9):1303-12.  https://doi.org/10.1016/S1473-3099(20)30703-9  PMID: 33965062 
  19. Foley DA, Yeoh DK, Minney-Smith CA, Martin AC, Mace AO, Sikazwe CT, et al. The Interseasonal Resurgence of Respiratory Syncytial Virus in Australian Children Following the Reduction of Coronavirus Disease 2019-Related Public Health Measures. Clin Infect Dis. 2021;73(9):e2829-30.  https://doi.org/10.1093/cid/ciaa1906  PMID: 33594407 
  20. Casalegno JS, Ploin D, Cantais A, Masson E, Bard E, Valette M, et al. , VRS study group in Lyon. Characteristics of the delayed respiratory syncytial virus epidemic, 2020/2021, Rhône Loire, France. Euro Surveill. 2021;26(29):2100630.  https://doi.org/10.2807/1560-7917.ES.2021.26.29.2100630  PMID: 34296674 
  21. Nickbakhsh S, Mair C, Matthews L, Reeve R, Johnson PCD, Thorburn F, et al. Virus-virus interactions impact the population dynamics of influenza and the common cold. Proc Natl Acad Sci USA. 2019;116(52):27142-50.  https://doi.org/10.1073/pnas.1911083116  PMID: 31843887 
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