Files and links (2)
Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
Dose-response time modelling for highly pathogenic avian influenza A (H5N1) virus infection
Letters in applied microbiology, v 53(4), pp 438-444
01 Oct 2011
PMID: 21790679
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Aims: To develop time-dependent dose-response models for highly pathogenic avian influenza A (HPAI) of the H5N1 subtype virus.
Methods and Results: A total of four candidate time-dependent dose-response models were fitted to four survival data sets for animals (mice or ferrets) exposed to graded doses of HPAI H5N1 virus using the maximum-likelihood estimation. A beta-Poisson dose-response model with the N-50 parameter modified by an exponential-inverse-power time dependency or an exponential dose-response model with the k parameter modified by an exponential-inverse time dependency provided a statistically adequate fit to the observed survival data.
Conclusions: We have successfully developed the time-dependent dose-response models to describe the mortality of animals exposed to an HPAI H5N1 virus. The developed model describes the mortality over time and represents observed experimental responses accurately.
Significance and Impact of the Study: This is the first study describing time-dependent dose-response models for HPAI H5N1 virus. The developed models will be a useful tool for estimating the mortality of HPAI H5N1 virus, which may depend on time postexposure, for the preparation of a future influenza pandemic caused by this lethal virus.
Metrics
Details
- Title
- Dose-response time modelling for highly pathogenic avian influenza A (H5N1) virus infection
- Creators
- M. Kitajima - University of ArizonaY. Huang - Michigan State UniversityT. Watanabe - Yamagata UniversityH. Katayama - University of TokyoC. N. Haas - Drexel University
- Publication Details
- Letters in applied microbiology, v 53(4), pp 438-444
- Publisher
- Wiley
- Number of pages
- 7
- Grant note
- R83236201 / US EPA; United States Environmental Protection Agency US Department of Homeland Security (DHS); United States Department of Homeland Security (DHS) Japan Society for the Promotion of Science (JSPS); Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science US Environmental Protection Agency (EPA); United States Environmental Protection Agency
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Marketing
- Web of Science ID
- WOS:000295095600008
- Scopus ID
- 2-s2.0-80052621948
- Other Identifier
- 991019167457004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biotechnology & Applied Microbiology
- Microbiology