Title |
Influenza A(H7N9) Virus Antibody Responses in Survivors 1 Year after Infection, China, 2017 - Volume 24, Number 4—April 2018 - Emerging Infectious Diseases journal - CDC
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Published in |
Emerging Infectious Diseases, April 2018
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DOI | 10.3201/eid2404.171995 |
Pubmed ID | |
Authors |
Mai-Juan Ma, Cheng Liu, Meng-Na Wu, Teng Zhao, Guo-Lin Wang, Yang Yang, Hong-Jing Gu, Peng-Wei Cui, Yuan-Yuan Pang, Ya-Yun Tan, Hui Hang, Bao Lin, Jiang-Chun Qin, Li-Qun Fang, Wu-Chun Cao, Li-Ling Cheng |
Abstract |
Avian influenza A(H7N9) virus has caused 5 epidemic waves in China since its emergence in 2013. We investigated the dynamic changes of antibody response to this virus over 1 year postinfection in 25 patients in Suzhou City, Jiangsu Province, China, who had laboratory-confirmed infections during the fifth epidemic wave, Oct 1, 2016-February 14, 2017. Most survivors had relatively robust antibody responses that decreased but remained detectable at 1 year. Antibody response was variable; several survivors had low or undetectable antibody titers. Hemagglutination inhibition titer was >1:40 for <40% of the survivors. Measured in vitro in infected mice, hemagglutination inhibition titer predicted serum protective ability. Our findings provide a helpful serologic guideline for identifying subclinical infections and for developing effective vaccines and therapeutics to counter H7N9 virus infections. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 45% |
Israel | 1 | 9% |
Nepal | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 13% |
Researcher | 3 | 13% |
Student > Master | 3 | 13% |
Student > Ph. D. Student | 2 | 9% |
Student > Postgraduate | 2 | 9% |
Other | 3 | 13% |
Unknown | 7 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 13% |
Psychology | 3 | 13% |
Medicine and Dentistry | 2 | 9% |
Social Sciences | 2 | 9% |
Immunology and Microbiology | 1 | 4% |
Other | 2 | 9% |
Unknown | 10 | 43% |