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- Publisher Website: 10.1155/2013/637064
- Scopus: eid_2-s2.0-84874923035
- PMID: 23509599
- WOS: WOS:000315528000001
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Article: Age-dependent estimates of the epidemiological impact of pandemic influenza (H1N1-2009) in Japan
Title | Age-dependent estimates of the epidemiological impact of pandemic influenza (H1N1-2009) in Japan |
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Authors | |
Issue Date | 2013 |
Publisher | Hindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/cmmm/ |
Citation | Computational and Mathematical Methods in Medicine, 2013, v. 2013, article no. 637064, p. 1-8 How to Cite? |
Abstract | The total number of influenza cases with medical attendance has been estimated from sentinel surveillance data in Japan under a random sampling assumption of sentinel medical institutions among the total medical institutions. The 2009 pandemic offered a research opportunity to validate the sentinel-based estimation method using the estimated proportion of infections measured by the population-wide seroepidemiological survey employing hemagglutinin inhibition (HI) assay. For the entire population, we estimated the age-standardized proportion of infections at 28.5% and 23.5% using cut-off values of HI titer at 1 : 20 and 1 : 40, respectively. Investigating the age profiles, we show that the estimated influenza-like illness (ILI) cases with medical attendance exceeded the estimated infections among those aged from 0 to 19 years, indicating an overestimation of the magnitude by sentinel-based estimation method. The ratio of estimated cases to estimated infections decreased as a function of age. Examining the geographic distributions, no positive correlation was identified between the estimated cases and infections. Our findings indicate a serious technical limitation of the so-called multiplier method in appropriately quantifying the risk of influenza due to limited specificity of ILI and reporting bias. A seroepidemiological study should be planned in advance of a pandemic. |
Persistent Identifier | http://hdl.handle.net/10722/181755 |
ISSN | 2021 Impact Factor: 2.809 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Mizumoto, K | - |
dc.contributor.author | Yamamoto, T | - |
dc.contributor.author | Nishiura, H | - |
dc.date.accessioned | 2013-03-19T03:55:52Z | - |
dc.date.available | 2013-03-19T03:55:52Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Computational and Mathematical Methods in Medicine, 2013, v. 2013, article no. 637064, p. 1-8 | - |
dc.identifier.issn | 1748-670X | - |
dc.identifier.uri | http://hdl.handle.net/10722/181755 | - |
dc.description.abstract | The total number of influenza cases with medical attendance has been estimated from sentinel surveillance data in Japan under a random sampling assumption of sentinel medical institutions among the total medical institutions. The 2009 pandemic offered a research opportunity to validate the sentinel-based estimation method using the estimated proportion of infections measured by the population-wide seroepidemiological survey employing hemagglutinin inhibition (HI) assay. For the entire population, we estimated the age-standardized proportion of infections at 28.5% and 23.5% using cut-off values of HI titer at 1 : 20 and 1 : 40, respectively. Investigating the age profiles, we show that the estimated influenza-like illness (ILI) cases with medical attendance exceeded the estimated infections among those aged from 0 to 19 years, indicating an overestimation of the magnitude by sentinel-based estimation method. The ratio of estimated cases to estimated infections decreased as a function of age. Examining the geographic distributions, no positive correlation was identified between the estimated cases and infections. Our findings indicate a serious technical limitation of the so-called multiplier method in appropriately quantifying the risk of influenza due to limited specificity of ILI and reporting bias. A seroepidemiological study should be planned in advance of a pandemic. | - |
dc.language | eng | - |
dc.publisher | Hindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/cmmm/ | - |
dc.relation.ispartof | Computational and Mathematical Methods in Medicine | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Age-dependent estimates of the epidemiological impact of pandemic influenza (H1N1-2009) in Japan | - |
dc.type | Article | - |
dc.identifier.email | Nishiura, H: nishiura@hku.hk | - |
dc.identifier.authority | Nishiura, H=rp01488 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1155/2013/637064 | - |
dc.identifier.pmid | 23509599 | - |
dc.identifier.pmcid | PMC3594908 | - |
dc.identifier.scopus | eid_2-s2.0-84874923035 | - |
dc.identifier.hkuros | 213700 | - |
dc.identifier.volume | 2013 | - |
dc.identifier.spage | article no. 637064, p. 1 | - |
dc.identifier.epage | article no. 637064, p. 8 | - |
dc.identifier.isi | WOS:000315528000001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1748-670X | - |