Title |
Characterization of a Feline Influenza A(H7N2) Virus - Volume 24, Number 1—January 2018 - Emerging Infectious Diseases journal - CDC
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Published in |
Emerging Infectious Diseases, January 2018
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DOI | 10.3201/eid2401.171240 |
Pubmed ID | |
Authors |
Masato Hatta, Gongxun Zhong, Yuwei Gao, Noriko Nakajima, Shufang Fan, Shiho Chiba, Kathleen M. Deering, Mutsumi Ito, Masaki Imai, Maki Kiso, Sumiho Nakatsu, Tiago J. Lopes, Andrew J. Thompson, Ryan McBride, David L. Suarez, Catherine A. Macken, Shigeo Sugita, Gabriele Neumann, Hideki Hasegawa, James C. Paulson, Kathy L. Toohey-Kurth, Yoshihiro Kawaoka |
Abstract |
During December 2016-February 2017, influenza A viruses of the H7N2 subtype infected ≈500 cats in animal shelters in New York, NY, USA, indicating virus transmission among cats. A veterinarian who treated the animals also became infected with feline influenza A(H7N2) virus and experienced respiratory symptoms. To understand the pathogenicity and transmissibility of these feline H7N2 viruses in mammals, we characterized them in vitro and in vivo. Feline H7N2 subtype viruses replicated in the respiratory organs of mice, ferrets, and cats without causing severe lesions. Direct contact transmission of feline H7N2 subtype viruses was detected in ferrets and cats; in cats, exposed animals were also infected via respiratory droplet transmission. These results suggest that the feline H7N2 subtype viruses could spread among cats and also infect humans. Outbreaks of the feline H7N2 viruses could, therefore, pose a risk to public health. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 10% |
Venezuela, Bolivarian Republic of | 1 | 5% |
Switzerland | 1 | 5% |
United Kingdom | 1 | 5% |
United States | 1 | 5% |
Unknown | 14 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 85% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Scientists | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Bachelor | 7 | 15% |
Researcher | 4 | 9% |
Professor | 4 | 9% |
Student > Master | 2 | 4% |
Other | 5 | 11% |
Unknown | 17 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 12 | 26% |
Immunology and Microbiology | 4 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Agricultural and Biological Sciences | 3 | 7% |
Computer Science | 2 | 4% |
Other | 1 | 2% |
Unknown | 21 | 46% |