Author: Mao, Yuanli; Cui, Enbo; Bao, Chunmei; Liu, Zhenhong; Chen, Suming; Zhang, Juling; Wang, Huan; Zhang, Chenglong; Zou, Jing; Klena, John D; Zhu, Baoli; Qu, Fen; Wang, Zhiyun
Title: Changing trends and serotype distribution of Shigella species in Beijing from 1994 to 2010 Document date: 2013_8_7
ID: 1j34m7kr_29
Snippet: To begin to address this knowledge gap, the present study tracked Shigella infections in the largest infectious hospital in Beijing over a period of 17 years (1994 to 2010), thus providing a picture of serotype distribution across seasons, ages, and gender. The changing trend of Shigella in Beijing over time was determined in this work. The results will be useful in providing information that can be used by policy makers to implement control stra.....
Document: To begin to address this knowledge gap, the present study tracked Shigella infections in the largest infectious hospital in Beijing over a period of 17 years (1994 to 2010), thus providing a picture of serotype distribution across seasons, ages, and gender. The changing trend of Shigella in Beijing over time was determined in this work. The results will be useful in providing information that can be used by policy makers to implement control strategies or to predict the efficacy of vaccines for the prevention of shigellosis.
Search related documents:
Co phrase search for related documents- Beijing infectious hospital and present study: 1
- change trend and gender age: 1, 2, 3, 4
- change trend and present study: 1, 2, 3, 4, 5, 6
- change trend and serotype distribution: 1
- control strategy and gender age: 1
- control strategy and infectious hospital: 1, 2
- control strategy and knowledge gap: 1
- control strategy and policy maker: 1
- control strategy and present study: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
- control strategy and vaccine efficacy: 1, 2, 3, 4, 5, 6, 7, 8, 9
- control strategy and work determine: 1, 2
- gender age and infectious hospital: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- gender age and knowledge gap: 1, 2, 3, 4, 5, 6
- gender age and present study: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
- gender age and vaccine efficacy: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
- gender age and vaccine efficacy predict: 1
- gender age and work determine: 1, 2, 3
- gender age season and present study: 1, 2
- infectious hospital and present study: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Co phrase search for related documents, hyperlinks ordered by date