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Article: Validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses

TitleValidation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses
Authors
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
Citation
Plos One, 2011, v. 6 n. 3 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/137044
ISSN
2014 Impact Factor: 3.234
2014 SCImago Journal Rankings: 1.300
PubMed Central ID
ISI Accession Number ID
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.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorYang, Len_HK
dc.contributor.authorChiu, SSen_HK
dc.contributor.authorChan, KPen_HK
dc.contributor.authorChan, KHen_HK
dc.contributor.authorWong, WHSen_HK
dc.contributor.authorPeiris, JSMen_HK
dc.contributor.authorWong, CMen_HK
dc.date.accessioned2011-07-29T07:16:46Z-
dc.date.available2011-07-29T07:16:46Z-
dc.date.issued2011en_HK
dc.identifier.citationPlos One, 2011, v. 6 n. 3en_HK
dc.identifier.issn1932-6203en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137044-
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.en_HK
dc.languageeng-
dc.publisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.actionen_HK
dc.relation.ispartofPLoS ONEen_HK
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 virusesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1932-6203&volume=6&issue=3, article no. e17882&spage=&epage=&date=2011&atitle=Validation+of+statistical+models+for+estimating+hospitalization+associated+with+influenza+and+other+respiratory+viruses-
dc.identifier.emailChiu, SS: ssschiu@hku.hken_HK
dc.identifier.emailPeiris, JSM: malik@hkucc.hku.hken_HK
dc.identifier.emailWong, CM: hrmrwcm@hku.hken_HK
dc.identifier.authorityChiu, SS=rp00421en_HK
dc.identifier.authorityPeiris, JSM=rp00410en_HK
dc.identifier.authorityWong, CM=rp00338en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1371/journal.pone.0017882en_HK
dc.identifier.pmid21412433-
dc.identifier.pmcidPMC3055891-
dc.identifier.scopuseid_2-s2.0-79952591594en_HK
dc.identifier.hkuros184817-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79952591594&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6en_HK
dc.identifier.issue3en_HK
dc.identifier.eissn1932-6203-
dc.identifier.isiWOS:000288247800036-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectA population based study of hospitalization disease burden for respiratory viral infections in children-
dc.identifier.scopusauthoridYang, L=7406279703en_HK
dc.identifier.scopusauthoridChiu, SS=7202291500en_HK
dc.identifier.scopusauthoridChan, KP=27171298000en_HK
dc.identifier.scopusauthoridChan, KH=7406034307en_HK
dc.identifier.scopusauthoridWong, WHS=13310222200en_HK
dc.identifier.scopusauthoridPeiris, JSM=7005486823en_HK
dc.identifier.scopusauthoridWong, CM=7404954904en_HK

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