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Depositordc.contributorLi, You
Funderdc.contributor.otherThe Foundation for Influenza Epidemiologyen_UK
Spatial Coveragedc.coverage.spatial58 countriesen_UK
Spatial Coveragedc.coverage.spatialGlobalen_UK
Time Perioddc.coverage.temporalstart=2019-01-01; end=2019-12-31; scheme=W3C-DTF
Data Creatordc.creatorLi, You
Date Accessioneddc.date.accessioned2020-04-09T15:31:19Z
Date Availabledc.date.available2020-08-31T04:15:07Z
Citationdc.identifier.citationLi, You. (2020). National burden estimates of hospitalisations for acute lower respiratory infections due to respiratory syncytial virus in 2019: the Burden of Influenza and RSV Disease (BIRD) study [dataset]. University of Edinburgh. College of Medicine & Veterinary Medicine. https://doi.org/10.7488/ds/2802.en
Persistent Identifierdc.identifier.urihttps://hdl.handle.net/10283/3611
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2802
Dataset Description (abstract)dc.description.abstract# Abstract # ## Background ## Respiratory syncytial virus (RSV) is the predominant viral pathogen associated with acute lower respiratory infection (ALRI) in children under five years of age (<5y). Little is reported on the national estimates of RSV-ALRI hospital admissions in <5y based on robust RSV epidemiology data. ## Methods ## We included data on RSV and ALRI hospital admission in <5y from systematic literature reviews (including unpublished data) and from clinical databases. We used two different methods, namely the rate-based method and the proportion-based method, to estimate national RSV-ALRI admissions in <5y in the year 2019 among countries with robust data. The rate-based method synthesized data on laboratory-confirmed RSV-ALRI hospitalisation rates using a spatiotemporal Gaussian process meta-regression (ST-GPR). The proportion-based method applied data on RSV positive proportions among ALRI to all-cause ALRI admission envelopes using a Bayesian regularized trimmed meta-regression (MR-BRT). Where applicable, we reported estimates by both methods in order to provide a plausible range for each included country. ## Findings ## A total of 334 studies and 1985 data points from 58 countries were included in the analysis, accounting for 58% of the <5y population worldwide. The number of the annual national RSV-ALRI hospitalisations in <5y ranged from 0·06 thousand (95% confidence interval [CI]: 0·02–0·14) in Iceland to 936·29 thousand (95% CI: 261·23–2151·83) in China. Despite great variation among countries, a high proportion of <5 of RSV-ALRI hospitalisations were in infants <1y in all countries (median proportion: 46%, interquartile range: 32–57). In most (76%) years, RSV-ALRI hospitalisation rate fluctuated between 80% and 120% of the country’s median yearly rate. General agreement was observed between estimates by the rate method and proportion method, with a few exceptions in India, Kenya, Norway and Philippines. The estimates by the rate-based method and by the proportion-based method could be extrapolated to a global estimate of 4·1 million (95% CI: 3·8–4·5) and 2·7 million 95% CI: 1·7–5·2) RSV-ALRI hospitalisations in <5y, respectively. ## Interpretation ## By incorporating data from various sources, our study provides robust estimates on the national burden of RSV-ALRI admissions in <5y. These estimates are important for informing policy for introduction of RSV immunisations and also serve as baseline data for assessing the effectiveness of implementing RSV immunisation programmes. ## Funding ## The Foundation for Influenza Epidemiologyen_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. College of Medicine & Veterinary Medicineen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://doi.org/10.1016/S2213-2600(20)30322-2
Relation (Is Referenced By)dc.relation.isreferencedbyLi, You et al. "National burden estimates of hospitalisations for acute lower respiratory infections due to respiratory syncytial virus in young children in 2019 among 58 countries: a modelling study" (2020) The Lancet Respiratory Medicine https://doi.org/10.1016/S2213-2600(20)30322-2
Relation (Is Referenced By)dc.relation.isreferencedbyJohnson, E. K., Sylte, D. O., Chaves, S. S., Li, Y., Mahé, C., Nair, H., Paget, J., van Pomeren, T., Shi, T., Viboud, C., & James, S. L. (2021). Hospital Utilization Rates for Influenza and RSV: A Novel Approach and Critical Assessment. Population Health Metrics, 19, [31]. https://doi.org/10.1186/s12963-021-00252-5
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectEpidemiologyen_UK
Subjectdc.subjectrespiratory infectionen_UK
Subjectdc.subjectRSVen_UK
Subjectdc.subjectrespiratory syncytial virusen_UK
Subjectdc.subjectinfluenzaen_UK
Subjectdc.subjectALRIen_UK
Subjectdc.subjectacute lower respiratory infectionen_UK
Subject Classificationdc.subject.classificationMedicine and Dentistry::Clinical Medicineen_UK
Titledc.titleNational burden estimates of hospitalisations for acute lower respiratory infections due to respiratory syncytial virus in 2019: the Burden of Influenza and RSV Disease (BIRD) studyen_UK
Typedc.typedataseten_UK

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