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

Author

Listed:
  • Ling Guo

    (Nanjing Medical University
    Nanjing Medical University)

  • Sebastien Kenmoe

    (University of Edinburgh)

  • Fuyu Miyake

    (University of Edinburgh)

  • Alexandria Chung

    (University of Edinburgh)

  • Han Zhang

    (Nanjing Medical University
    Nanjing Medical University)

  • Teresa Bandeira

    (Centro Hospitalar Universitário Lisboa Norte)

  • Mauricio T. Caballero

    (Universidad Nacional de San Martin
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

  • Jean-Sébastien Casalegno

    (Laboratoire de Virologie
    Université Claude Bernard - Lyon 1)

  • Rodrigo Fasce

    (Institute of Public Health)

  • Chakhunashvili Giorgi

    (National Center for Disease Control and Public Health)

  • Terho Heikkinen

    (University of Turku
    Turku University Hospital)

  • Q. Sue Huang

    (Institute of Environmental Science and Research)

  • Esther Nyadzua Katama

    (KEMRI-Wellcome Trust Research Programme)

  • James W. Keck

    (Alaska Native Tribal Health Consortium)

  • Enmei Liu

    (Children’s Hospital of Chongqing Medical University
    National Clinical Research Center for Child Health and Disorders
    Ministry of Education Key Laboratory of Child Development and Disorders
    Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity)

  • Josko Markic

    (University Hospital of Split
    University of Split School of Medicine)

  • Hannah C. Moore

    (The Kids Research Institute Australia
    Curtin University)

  • Jocelyn Moyes

    (National Institute for Communicable Diseases)

  • Barbara A. Rath

    (Vaccine Safety Initiative)

  • Candice Romero

    (Culmen International Company)

  • Qianli Wang

    (Fudan University)

  • Marta Werner

    (Grant Benavente Clinical Hospital)

  • Chee Fu Yung

    (KK Women’s and Children’s Hospital
    Duke-NUS Medical School
    Nanyang Technological University)

  • Harish Nair

    (Nanjing Medical University
    University of Edinburgh
    University of the Witwatersrand)

  • You Li

    (Nanjing Medical University
    Nanjing Medical University
    University of Edinburgh
    Nanjing Medical University)

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.

Suggested Citation

  • Ling Guo & Sebastien Kenmoe & Fuyu Miyake & Alexandria Chung & Han Zhang & Teresa Bandeira & Mauricio T. Caballero & Jean-Sébastien Casalegno & Rodrigo Fasce & Chakhunashvili Giorgi & Terho Heikkinen , 2025. "Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61400-1
    DOI: 10.1038/s41467-025-61400-1
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