| Title |
Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
|
|---|---|
| Published in |
PLOS ONE, August 2014
|
| DOI | 10.1371/journal.pone.0106144 |
| Pubmed ID | |
| Authors |
Honglong Zhang, Zhongjie Li, Shengjie Lai, Archie C. A. Clements, Liping Wang, Wenwu Yin, Hang Zhou, Hongjie Yu, Wenbiao Hu, Weizhong Yang |
| Abstract |
An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 1 | 1% |
| Indonesia | 1 | 1% |
| Unknown | 68 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 27% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 7 | 10% |
| Professor > Associate Professor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 19% |
| Medicine and Dentistry | 12 | 16% |
| Computer Science | 7 | 10% |
| Nursing and Health Professions | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 15 | 21% |
| Unknown | 16 | 22% |