Article: Validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses
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- Publisher Website: 10.1371/journal.pone.0017882
- Scopus: eid_2-s2.0-79952591594
- PMID: 21412433
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| Title | Validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses | ||||||
|---|---|---|---|---|---|---|---|
| Authors | Yang, L1 Chiu, SS1 Chan, KP1 Chan, KH1 Wong, WHS1 Peiris, JSM1 Wong, CM1 | ||||||
| Keywords | Accuracy Adenovirus Adolescent Child hospitalization Hong kong | ||||||
| Issue Date | 2011 | ||||||
| Publisher | Public 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?] DOI: http://dx.doi.org/10.1371/journal.pone.0017882 | ||||||
| Abstract | Background: 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. | ||||||
| ISSN | 1932-6203 2011 Impact Factor: 4.092 2011 SCImago Journal Rankings: 0.519 | ||||||
| DOI | http://dx.doi.org/10.1371/journal.pone.0017882 | ||||||
| ISI Accession Number ID | WOS:000288247800036
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. | ||||||
| PubMed Central ID | PMC3055891 | ||||||
| References | References in Scopus | ||||||
| Grants | A population based study of hospitalization disease burden for respiratory viral infections in children |
| dc.contributor.author | Yang, L | ||||||
|---|---|---|---|---|---|---|---|
| dc.contributor.author | Chiu, SS | ||||||
| dc.contributor.author | Chan, KP | ||||||
| dc.contributor.author | Chan, KH | ||||||
| dc.contributor.author | Wong, WHS | ||||||
| dc.contributor.author | Peiris, JSM | ||||||
| dc.contributor.author | Wong, CM | ||||||
| dc.date.accessioned | 2011-07-29T07:16:46Z | ||||||
| dc.date.available | 2011-07-29T07:16:46Z | ||||||
| dc.date.issued | 2011 | ||||||
| dc.description.abstract | Background: 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.grant | A population based study of hospitalization disease burden for respiratory viral infections in children | ||||||
| dc.description.grantcode | 18751 | ||||||
| dc.description.nature | published_or_final_version | ||||||
| dc.identifier.citation | Plos One, 2011, v. 6 n. 3 [How to Cite?] DOI: http://dx.doi.org/10.1371/journal.pone.0017882 | ||||||
| dc.identifier.doi | http://dx.doi.org/10.1371/journal.pone.0017882 | ||||||
| dc.identifier.hkuros | 184817 | ||||||
| dc.identifier.isi | WOS:000288247800036
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.issn | 1932-6203 2011 Impact Factor: 4.092 2011 SCImago Journal Rankings: 0.519 | ||||||
| dc.identifier.issue | 3 | ||||||
| dc.identifier.openurl | | ||||||
| dc.identifier.pmcid | PMC3055891 | ||||||
| dc.identifier.pmid | 21412433 | ||||||
| dc.identifier.scopus | eid_2-s2.0-79952591594 | ||||||
| dc.identifier.uri | http://hdl.handle.net/10722/137044 | ||||||
| dc.identifier.volume | 6 | ||||||
| dc.language | eng | ||||||
| dc.publisher | Public Library of Science. The Journal's web site is located at http://www.plosone.org/home.action | ||||||
| dc.publisher.place | United States | ||||||
| dc.relation.ispartof | PLoS ONE | ||||||
| dc.relation.references | References in Scopus | ||||||
| dc.rights | Creative Commons: Attribution 3.0 Hong Kong License | ||||||
| dc.subject | Accuracy | ||||||
| dc.subject | Adenovirus | ||||||
| dc.subject | Adolescent | ||||||
| dc.subject | Child hospitalization | ||||||
| dc.subject | Hong kong | ||||||
| dc.title | Validation of statistical models for estimating hospitalization associated with influenza and other respiratory viruses | ||||||
| dc.type | Article |
Author Affiliations
- The University of Hong Kong