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
Depositor | dc.contributor | Li, You | |
Funder | dc.contributor.other | The Foundation for Influenza Epidemiology | en_UK |
Spatial Coverage | dc.coverage.spatial | 58 countries | en_UK |
Spatial Coverage | dc.coverage.spatial | Global | en_UK |
Time Period | dc.coverage.temporal | start=2019-01-01; end=2019-12-31; scheme=W3C-DTF | |
Data Creator | dc.creator | Li, You | |
Date Accessioned | dc.date.accessioned | 2020-04-09T15:31:19Z | |
Date Available | dc.date.available | 2020-08-31T04:15:07Z | |
Citation | dc.identifier.citation | Li, 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 Identifier | dc.identifier.uri | https://hdl.handle.net/10283/3611 | |
Persistent Identifier | dc.identifier.uri | https://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5y from systematic literature reviews (including unpublished data) and from clinical databases.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 Epidemiology | en_UK |
Language | dc.language.iso | eng | en_UK |
Publisher | dc.publisher | University of Edinburgh. College of Medicine & Veterinary Medicine | en_UK |
Relation (Is Referenced By) | dc.relation.isreferencedby | https://doi.org/10.1016/S2213-2600(20)30322-2 | |
Relation (Is Referenced By) | dc.relation.isreferencedby | Li, 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.isreferencedby | Johnson, 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 | |
Rights | dc.rights | Creative Commons Attribution 4.0 International Public License | en |
Subject | dc.subject | Epidemiology | en_UK |
Subject | dc.subject | respiratory infection | en_UK |
Subject | dc.subject | RSV | en_UK |
Subject | dc.subject | respiratory syncytial virus | en_UK |
Subject | dc.subject | influenza | en_UK |
Subject | dc.subject | ALRI | en_UK |
Subject | dc.subject | acute lower respiratory infection | en_UK |
Subject Classification | dc.subject.classification | Medicine and Dentistry::Clinical Medicine | en_UK |
Title | dc.title | 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 | en_UK |
Type | dc.type | dataset | en_UK |
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