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    Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants

    Access Status
    In process
    Authors
    Guo, L.
    Kenmoe, S.
    Miyake, F.
    Chung, A.
    Zhang, H.
    Bandeira, T.
    Caballero, M.T.
    Casalegno, J.S.
    Fasce, R.
    Giorgi, C.
    Heikkinen, T.
    Huang, Q.S.
    Katama, E.N.
    Keck, J.W.
    Liu, E.
    Markic, J.
    Moore, Hannah
    Moyes, J.
    Rath, B.A.
    Romero, C.
    Wang, Q.
    Werner, M.
    Yung, C.F.
    Hernandez, R.
    Bazan, I.
    Soto, G.
    Scobie, H.
    Bressler, S.
    Desnoyers, C.
    Cepeda, A.
    Bugueño, A.
    Lopez, O.
    Come, H.
    Ploin, D.
    Rodriguez, I.
    Enriquez, P.
    Obermeier, P.E.
    Walaza, S.
    Cohen, C.
    Wolter, N.
    Le, H.
    Taye, Belaynew
    Sarna, Minda
    Mrcela, D.
    Deng, Y.
    Zang, N.
    Ren, L.
    Kea, A.
    Mutunga, M.
    Wood, T.
    Olgha, T.M.
    Khatuna, Z.
    Irakli, K.
    Morfin-Sherpa, F.
    Dvorkin, J.
    Barreto, R.
    Shchomak, Z.
    Nair, H.
    Li, Y.
    Molero, E.
    Kramer, R.
    Hendrix, J.
    Janimak, J.
    Begier, E.
    Kumar, V.
    Pollard, A.
    Openshaw, P.
    Bont, L.
    Nohynek, H.
    Wang, X.
    Date
    2025
    Type
    Journal Article
    
    Metadata
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    Citation
    Guo, L. and Kenmoe, S. and Miyake, F. and Chung, A. and Zhang, H. and Bandeira, T. and Caballero, M.T. et al. 2025. Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants. Nature Communications. 16 (1): pp. 6109-.
    Source Title
    Nature Communications
    DOI
    10.1038/s41467-025-61400-1
    ISSN
    2041-1723
    Faculty
    Faculty of Health Sciences
    Faculty of Health Sciences
    Faculty of Health Sciences
    School
    Curtin School of Population Health
    Curtin School of Population Health
    Curtin School of Population Health
    URI
    http://hdl.handle.net/20.500.11937/98614
    Collection
    • Curtin Research Publications
    Abstract

    Understanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved.

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