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Article: Validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses
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TitleValidation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses
 
AuthorsYang, L1
Chiu, SS1
Chan, KP1
Chan, KH1
Wong, WHS1
Peiris, JSM1
Wong, CM1
 
KeywordsAccuracy
Adenovirus
Adolescent
Child hospitalization
Hong kong
 
Issue Date2011
 
PublisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action
 
CitationPlos One, 2011, v. 6 n. 3 [How to Cite?]
DOI: http://dx.doi.org/10.1371/journal.pone.0017882
 
AbstractBackground: Reliable estimates of disease burden associated with respiratory viruses are keys to deployment of preventive strategies such as vaccination and resource allocation. Such estimates are particularly needed in tropical and subtropical regions where some methods commonly used in temperate regions are not applicable. While a number of alternative approaches to assess the influenza associated disease burden have been recently reported, none of these models have been validated with virologically confirmed data. Even fewer methods have been developed for other common respiratory viruses such as respiratory syncytial virus (RSV), parainfluenza and adenovirus. Methods and Findings: We had recently conducted a prospective population-based study of virologically confirmed hospitalization for acute respiratory illnesses in persons &18 years residing in Hong Kong Island. Here we used this dataset to validate two commonly used models for estimation of influenza disease burden, namely the rate difference model and Poisson regression model, and also explored the applicability of these models to estimate the disease burden of other respiratory viruses. The Poisson regression models with different link functions all yielded estimates well correlated with the virologically confirmed influenza associated hospitalization, especially in children older than two years. The disease burden estimates for RSV, parainfluenza and adenovirus were less reliable with wide confidence intervals. The rate difference model was not applicable to RSV, parainfluenza and adenovirus and grossly underestimated the true burden of influenza associated hospitalization. Conclusion: The Poisson regression model generally produced satisfactory estimates in calculating the disease burden of respiratory viruses in a subtropical region such as Hong Kong. © 2011 Yang et al.
 
ISSN1932-6203
2012 Impact Factor: 3.73
2012 SCImago Journal Rankings: 1.512
 
DOIhttp://dx.doi.org/10.1371/journal.pone.0017882
 
PubMed Central IDPMC3055891
 
ISI Accession Number IDWOS:000288247800036
Funding AgencyGrant Number
Research Grants Council of Hong KongHKU 7396/03M
University Grants Committee of the Hong Kong Special Administrative Region GovernmentAoE/M-12/-06
Funding Information:

This work is supported by the Research Grants Council of Hong Kong (HKU 7396/03M) and the Area of Excellence Scheme of the University Grants Committee (grant AoE/M-12/-06) of the Hong Kong Special Administrative Region Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

 
ReferencesReferences in Scopus
 
GrantsA population based study of hospitalization disease burden for respiratory viral infections in children
 
DC FieldValue
dc.contributor.authorYang, L
 
dc.contributor.authorChiu, SS
 
dc.contributor.authorChan, KP
 
dc.contributor.authorChan, KH
 
dc.contributor.authorWong, WHS
 
dc.contributor.authorPeiris, JSM
 
dc.contributor.authorWong, CM
 
dc.date.accessioned2011-07-29T07:16:46Z
 
dc.date.available2011-07-29T07:16:46Z
 
dc.date.issued2011
 
dc.description.abstractBackground: Reliable estimates of disease burden associated with respiratory viruses are keys to deployment of preventive strategies such as vaccination and resource allocation. Such estimates are particularly needed in tropical and subtropical regions where some methods commonly used in temperate regions are not applicable. While a number of alternative approaches to assess the influenza associated disease burden have been recently reported, none of these models have been validated with virologically confirmed data. Even fewer methods have been developed for other common respiratory viruses such as respiratory syncytial virus (RSV), parainfluenza and adenovirus. Methods and Findings: We had recently conducted a prospective population-based study of virologically confirmed hospitalization for acute respiratory illnesses in persons &18 years residing in Hong Kong Island. Here we used this dataset to validate two commonly used models for estimation of influenza disease burden, namely the rate difference model and Poisson regression model, and also explored the applicability of these models to estimate the disease burden of other respiratory viruses. The Poisson regression models with different link functions all yielded estimates well correlated with the virologically confirmed influenza associated hospitalization, especially in children older than two years. The disease burden estimates for RSV, parainfluenza and adenovirus were less reliable with wide confidence intervals. The rate difference model was not applicable to RSV, parainfluenza and adenovirus and grossly underestimated the true burden of influenza associated hospitalization. Conclusion: The Poisson regression model generally produced satisfactory estimates in calculating the disease burden of respiratory viruses in a subtropical region such as Hong Kong. © 2011 Yang et al.
 
dc.description.naturepublished_or_final_version
 
dc.identifier.citationPlos One, 2011, v. 6 n. 3 [How to Cite?]
DOI: http://dx.doi.org/10.1371/journal.pone.0017882
 
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0017882
 
dc.identifier.eissn1932-6203
 
dc.identifier.hkuros184817
 
dc.identifier.isiWOS:000288247800036
Funding AgencyGrant Number
Research Grants Council of Hong KongHKU 7396/03M
University Grants Committee of the Hong Kong Special Administrative Region GovernmentAoE/M-12/-06
Funding Information:

This work is supported by the Research Grants Council of Hong Kong (HKU 7396/03M) and the Area of Excellence Scheme of the University Grants Committee (grant AoE/M-12/-06) of the Hong Kong Special Administrative Region Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

 
dc.identifier.issn1932-6203
2012 Impact Factor: 3.73
2012 SCImago Journal Rankings: 1.512
 
dc.identifier.issue3
 
dc.identifier.openurl
 
dc.identifier.pmcidPMC3055891
 
dc.identifier.pmid21412433
 
dc.identifier.scopuseid_2-s2.0-79952591594
 
dc.identifier.urihttp://hdl.handle.net/10722/137044
 
dc.identifier.volume6
 
dc.languageeng
 
dc.publisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action
 
dc.publisher.placeUnited States
 
dc.relation.ispartofPLoS ONE
 
dc.relation.projectA population based study of hospitalization disease burden for respiratory viral infections in children
 
dc.relation.referencesReferences in Scopus
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.subjectAccuracy
 
dc.subjectAdenovirus
 
dc.subjectAdolescent
 
dc.subjectChild hospitalization
 
dc.subjectHong kong
 
dc.titleValidation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong