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Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021:a systematic analysis from the Global Burden of Disease Study 2021

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  • Author(s): Felton, Timothy William; Hansel, Jan; Mathioudakis, Alexander G.
  • Source:
    GBD 2021 Lower Respiratory Infections and Antimicrobial Resistance Collaborators , Felton , T W , Hansel , J , Mathioudakis , A G & et al. 2024 , ' Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021 : a systematic analysis from the Global Burden of Disease Study 2021 ' , The Lancet Infectious Diseases , vol. 24 , no. 9 , pp. 974-1002 . https://doi.org/10.1016/S1473-3099(24)00176-2
  • Document Type:
    article in journal/newspaper
  • Language:
    English
  • Additional Information
    • Publication Date:
      2024
    • Collection:
      The University of Manchester: Research Explorer - Publications
    • Abstract:
      Background: Lower respiratory infections (LRIs) are a major global contributor to morbidity and mortality. In 2020–21, non-pharmaceutical interventions associated with the COVID-19 pandemic reduced not only the transmission of SARS-CoV-2, but also the transmission of other LRI pathogens. Tracking LRI incidence and mortality, as well as the pathogens responsible, can guide health-system responses and funding priorities to reduce future burden. We present estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 of the burden of non-COVID-19 LRIs and corresponding aetiologies from 1990 to 2021, inclusive of pandemic effects on the incidence and mortality of select respiratory viruses, globally, regionally, and for 204 countries and territories. Methods: We estimated mortality, incidence, and aetiology attribution for LRI, defined by the GBD as pneumonia or bronchiolitis, not inclusive of COVID-19. We analysed 26 259 site-years of mortality data using the Cause of Death Ensemble model to estimate LRI mortality rates. We analysed all available age-specific and sex-specific data sources, including published literature identified by a systematic review, as well as household surveys, hospital admissions, health insurance claims, and LRI mortality estimates, to generate internally consistent estimates of incidence and prevalence using DisMod-MR 2.1. For aetiology estimation, we analysed multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature data using a network analysis model to produce the proportion of LRI deaths and episodes attributable to the following pathogens: Acinetobacter baumannii, Chlamydia spp, Enterobacter spp, Escherichia coli, fungi, group B streptococcus, Haemophilus influenzae, influenza viruses, Klebsiella pneumoniae, Legionella spp, Mycoplasma spp, polymicrobial infections, Pseudomonas aeruginosa, respiratory syncytial virus (RSV), Staphylococcus aureus, Streptococcus pneumoniae, and other viruses (ie, the aggregate of ...
    • Accession Number:
      10.1016/S1473-3099(24)00176-2
    • Online Access:
      https://research.manchester.ac.uk/en/publications/c9648053-e9ba-40a0-93ae-0829e4b8fd03
      https://doi.org/10.1016/S1473-3099(24)00176-2
      http://www.scopus.com/inward/record.url?scp=85191811208&partnerID=8YFLogxK
    • Rights:
      info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.A39615D3