articleScientific ReportsJan 10, 2022GOLD OA

Developing a prediction model to estimate the true burden of respiratory syncytial virus (RSV) in hospitalised children in Western Australia

ATAmanuel Tesfay GebremedhinABAlexandra B. HoganCCChristopher C. BlythKGKathryn GlassHCHannah C. Moore

The Kids Research Institute Australia · Imperial College London · +6 more institutions

PubMed
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Abstract

Respiratory syncytial virus (RSV) is a leading cause of childhood morbidity, however there is no systematic testing in children hospitalised with respiratory symptoms. Therefore, current RSV incidence likely underestimates the true burden. We used probabilistically linked perinatal, hospital, and laboratory records of 321,825 children born in Western Australia (WA), 2000-2012. We generated a predictive model for RSV positivity in hospitalised children aged

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Authors

5
  • AT
    Amanuel Tesfay GebremedhinCorresponding

    The Kids Research Institute Australia

  • AB
    Alexandra B. Hogan

    Imperial College London

  • CC
    Christopher C. Blyth

    The Kids Research Institute Australia, The University of Western Australia, Princess Margaret Hospital for Children, Queen Elizabeth II Medical Centre, Pathwest Laboratory Medicine, Perth Children's Hospital

  • KG
    Kathryn Glass

    Australian National University

  • HC
    Hannah C. Moore

    The Kids Research Institute Australia, The University of Western Australia

Topics & keywords

Keywords
  • Bronchiolitis
  • Incidence (geometry)
  • Predictive value
  • Pneumovirus
  • Cohort
  • Pneumovirinae
  • Respiratory system
  • Cohort study
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