Journal article
Dose-response assessment for influenza A virus based on data sets of infection with its live attenuated reassortants
Risk analysis, v 32(3), pp 555-565
Mar 2012
PMID: 21977924
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Reported data sets on infection of volunteers challenged with wild-type influenza A virus at graded doses are few. Alternatively, we aimed at developing a dose-response assessment for this virus based on the data sets for its live attenuated reassortants. Eleven data sets for live attenuated reassortants that were fit to beta-Poisson and exponential dose-response models. Dose-response relationships for those reassortants were characterized by pooling analysis of the data sets with respect to virus subtype (H1N1 or H3N2), attenuation method (cold-adapted or avian-human gene reassortment), and human age (adults or children). Furthermore, by comparing the above data sets to a limited number of reported data sets for wild-type virus, we quantified the degree of attenuation of wild-type virus with gene reassortment and estimated its infectivity. As a result, dose-response relationships of all reassortants were best described by a beta-Poisson model. Virus subtype and human age were significant factors determining the dose-response relationship, whereas attenuation method affected only the relationship of H1N1 virus infection to adults. The data sets for H3N2 wild-type virus could be pooled with those for its reassortants on the assumption that the gene reassortment attenuates wild-type virus by at least 63 times and most likely 1,070 times. Considering this most likely degree of attenuation, 10% infectious dose of H3N2 wild-type virus for adults was estimated at 18 TCID50 (95% CI = 8.8-35 TCID50). The infectivity of wild-type H1N1 virus remains unknown as the data set pooling was unsuccessful.
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Details
- Title
- Dose-response assessment for influenza A virus based on data sets of infection with its live attenuated reassortants
- Creators
- Toru Watanabe - 1Department of Food, Life and Environmental Sciences, Yamagata University, Yamagata, Japan. to-ru@tds1.tr.yamagata-u.ac.jpTimothy A BartrandTatsuo OmuraCharles N Haas
- Publication Details
- Risk analysis, v 32(3), pp 555-565
- Publisher
- Wiley; United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000301344800018
- Scopus ID
- 2-s2.0-84858296192
- Other Identifier
- 991014878425704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Mathematics, Interdisciplinary Applications
- Public, Environmental & Occupational Health
- Social Sciences, Mathematical Methods