| Title |
Population seroprevalence of antibody to influenza A(H7N9) virus, Guangzhou, China
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2016
|
| DOI | 10.1186/s12879-016-1983-3 |
| Pubmed ID | |
| Authors |
Yong Ping Lin, Zi Feng Yang, Ying Liang, Zheng Tu Li, Helen S. Bond, Huiying Chua, Ya Sha Luo, Yuan Chen, Ting Ting Chen, Wen Da Guan, Jimmy Chun Cheong Lai, Yu Lam Siu, Si Hua Pan, J. S. Malik Peiris, Benjamin J. Cowling, Chris Ka PunMok |
| Abstract |
Since the identification in early 2013 of severe disease caused by influenza A(H7N9) virus infection, there have been few attempts to characterize the full severity profile of human infections. Our objective was to estimate the number and severity of H7N9 infections in Guangzhou, using a serological study. We collected residual sera from patients of all ages admitted to a hospital in the city of Guangzhou in southern China in 2013 and 2014. We screened the sera using a haemagglutination inhibition assay against a pseudovirus containing the H7 and N9 of A/Anhui/1/2013(H7N9), and samples with a screening titer ≥10 were further tested by standard hemagglutination-inhibition and virus neutralization assays for influenza A(H7N9). We used a statistical model to interpret the information on antibody titers in the residual sera, assuming that the residual sera provided a representative picture of A(H7N9) infections in the general population, accounting for potential cross-reactions. We collected a total of 5360 residual sera from December 2013 to April 2014 and from October 2014 to December 2014, and found two specimens that tested positive for H7N9 antibody at haemagglutination inhibition titer ≥40 and a neutralization titer ≥40. Based on this, we estimated that 64,000 (95 % credibility interval: 7300, 190,000) human infections with influenza A(H7N9) virus occurred in Guangzhou in early 2014, with an infection-fatality risk of 3.6 deaths (95 % credibility interval: 0.47, 15) per 10,000 infections. Our study suggested that the number of influenza A(H7N9) virus infections in Guangzhou substantially exceeded the number of laboratory-confirmed cases there, albeit with considerable imprecision. Our study was limited by the small number of positive specimens identified, and larger serologic studies would be valuable. Our analytic framework would be useful if larger serologic studies are done. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Other | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Lecturer | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 15% |
| Medicine and Dentistry | 4 | 15% |
| Agricultural and Biological Sciences | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2021.
All research outputs
#7,654,161
of 23,975,876 outputs
Outputs from BMC Infectious Diseases
#2,546
of 7,984 outputs
Outputs of similar age
#111,488
of 314,458 outputs
Outputs of similar age from BMC Infectious Diseases
#78
of 234 outputs
Altmetric has tracked 23,975,876 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.