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1. Modeling the Association of Space, Time, and Host Species with Variation of the HA, NA, and NS Genes of H5N1 Highly Pathogenic Avian Influenza Viruses Isolated from Birds in Romania in 2005–2007.

Author

Alkhamis, Mohammad, Perez, Andres, Batey, Nicole, Howard, Wendy, Baillie, Greg, Watson, Simon, Franz, Stephanie, Focosi-Snyman, Raffaella, Onita, Iuliana, Cioranu, Raluca, Turcitu, Mihai, Kellam, Paul, Brown, Ian H., and Breed, Andrew C.

Subjects
INFLUENZA A virus, H5N1 subtype, BIRD populations, BAYESIAN analysis, NEURAMINIDASE, HEMAGGLUTININ, REGRESSION analysis, MOLECULAR epidemiology
Abstract

The article focuses on the study which aims to quantify the association between time, geographical locations, and host species with nucleotide variation in the neuraminidase (NA), haemagglutinin (HA), and nonstructural (NS) genes of 70 H5N1 highly pathogenic avian influenza viruses (HPAIV) obtained from birds in Romania from October 2005 to December 2007. The study used Bayesian regression model. Results show the potential use of the methodology in understanding H5N1 molecular epidemiology.

Published
2013
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