Title |
Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan
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Published in |
BMC Public Health, January 2008
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DOI | 10.1186/1471-2458-8-18 |
Pubmed ID | |
Authors |
Tsung-Shu Joseph Wu, Fuh-Yuan Frank Shih, Muh-Yong Yen, Jiunn-Shyan Julian Wu, Shiou-Wen Lu, Kevin Chi-Ming Chang, Chao Hsiung, Jr-How Chou, Yu-Tseng Chu, Hang Chang, Chan-Hsien Chiu, Fu-Chiang Richard Tsui, Michael M Wagner, Ih-Jen Su, Chwan-Chuen King |
Abstract |
With international concern over emerging infectious diseases (EID) and bioterrorist attacks, public health is being required to have early outbreak detection systems. A disease surveillance team was organized to establish a hospital emergency department-based syndromic surveillance system (ED-SSS) capable of automatically transmitting patient data electronically from the hospitals responsible for emergency care throughout the country to the Centers for Disease Control in Taiwan (Taiwan-CDC) starting March, 2004. This report describes the challenges and steps involved in developing ED-SSS and the timely information it provides to improve in public health decision-making. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 2% |
Germany | 1 | <1% |
Cameroon | 1 | <1% |
Indonesia | 1 | <1% |
Saudi Arabia | 1 | <1% |
United States | 1 | <1% |
Unknown | 119 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 21% |
Student > Ph. D. Student | 21 | 17% |
Student > Master | 19 | 15% |
Student > Bachelor | 10 | 8% |
Professor > Associate Professor | 7 | 6% |
Other | 26 | 21% |
Unknown | 17 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 40 | 32% |
Agricultural and Biological Sciences | 13 | 10% |
Social Sciences | 11 | 9% |
Computer Science | 10 | 8% |
Nursing and Health Professions | 7 | 6% |
Other | 21 | 17% |
Unknown | 24 | 19% |