| Title: |
Robustness of the Ferret Model for Influenza Risk Assessment Studies: a Cross-Laboratory Exercise |
| Authors: |
Belser, Jessica A.; Lau, Eric H. Y.; Barclay, Wendy; Barr, Ian G.; Chen, Hualan; Fouchier, Ron A. M.; Hatta, Masato; Herfst, Sander; Kawaoka, Yoshihiro; Lakdawala, Seema S.; Lee, Leo Yi Yang; Neumann, Gabriele; Peiris, Malik; Perez, Daniel R.; Russell, Charles; Subbarao, Kanta; Sutton, Troy C.; Webby, Richard J.; Yang, Huanliang; Yen, Hui-Ling; Blanchard, Elisabeth; Maines, Taronna R.; Choy, Ka-Tim; Sia, Sin Fun; Su, Wen; Frise, Rebecca; Zhou, Jie; Hurt, Aeron C.; Li, Chengjun; Bestebroer, Theo; de Meulder, Dennis; Lexmond, Pascal; Chiba, Shiho; Bhagwat, Amar; Jones, Jennifer E.; Kormuth, Karen A.; Le Sage, Valarie; Caceres, C. Joaquin; Carnaccini, Silvia; Ferreri, Lucas M.; Geiger, Ginger; DeBeauchamp, Jennifer L.; Hu, Meng; Jeevan, Trushar; Kercher, Lisa A.; Patel, Devanshi R.; Septer, Kayla M.; Sim, Derek G. |
| Contributors: |
Palese, Peter; HHS | NIH | National Institute of Allergy and Infectious Diseases |
| Source: |
mBio ; volume 13, issue 4 ; ISSN 2150-7511 |
| Publisher Information: |
American Society for Microbiology |
| Publication Year: |
2022 |
| Description: |
Following detection of a novel virus, rapid characterization efforts (both in vitro and in vivo ) are undertaken at numerous laboratories worldwide to evaluate the relative risk posed to human health. Aggregation of these data are critical, but the use of nonstandardized protocols can make interpretation of divergent results a challenge. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1128/mbio.01174-22 |
| Availability: |
https://doi.org/10.1128/mbio.01174-22; https://journals.asm.org/doi/pdf/10.1128/mbio.01174-22 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; https://journals.asm.org/non-commercial-tdm-license |
| Accession Number: |
edsbas.998DEE35 |
| Database: |
BASE |