title: [The fundamental role of stage control technology on the detectability for Salmonella networking laboratory].
abstract: OBJECTIVE
  To evaluated the fundamental role of stage control technology (SCT) on the detectability for Salmonella networking laboratories.
  
  
  METHODS
  Appropriate Salmonella detection methods after key point control being evaluated, were establishment and optimized. Our training and evaluation networking laboratories participated in the World Health Organization-Global Salmonella Surveillance Project (WHO-GSS) and China-U.S. Collaborative Program on Emerging and Re-emerging infectious diseases Project (GFN) in Shanghai. Staff members from the Yunnan Yuxi city Center for Disease Control and Prevention were trained on Salmonella isolation from diarrhea specimens. Data on annual Salmonella positive rates was collected from the provincial-level monitoring sites to be part of the GSS and GFN projects from 2006 to 2012.
  
  
  RESULTS
  The methodology was designed based on the conventional detection procedure of Salmonella which involved the processes as enrichment, isolation, species identification and sero-typing. These methods were simultaneously used to satisfy the sensitivity requirements on non-typhoid Salmonella detection for networking laboratories. Public Health Laboratories in Shanghai had developed from 5 in 2006 to 9 in 2011, and Clinical laboratories from 8 to 22. Number of clinical isolates, including typhoid and non-typhoid Salmonella increased from 196 in 2006 to 1442 in 2011. The positive rate of Salmonella isolated from the clinical diarrhea cases was 2.4% in Yuxi county, in 2012. At present, three other provincial monitoring sites were using the SBG technique as selectivity enrichment broth for Salmonella isolation, with Shanghai having the most stable positive baseline.
  
  
  CONCLUSIONS
  The method of SCT was proved the premise of the network laboratory construction. Based on this, the improvement of precise phenotypic identification and molecular typing capabilities could reach the level equivalent to the national networking laboratory.
authors: Yunnan Provincial Center for Disease Control and Prevention, Yunnan 650022, China.
authors: Yong-ming
authors: YM
authors: Zhou
authors: Shanghai Minhang District Center for Disease Control and Prevention.
authors: Xiu-hua
authors: XH
authors: Chen
authors: Yunnan Provincial Center for Disease Control and Prevention, Yunnan 650022, China.
authors: Wen
authors: W
authors: Xu
authors: Shanghai Municipal Center for Disease Control and Prevention.
authors: Hui-ming
authors: HM
authors: Jin
authors: Yunnan Provincial Center for Disease Control and Prevention, Yunnan 650022, China.
authors: Chao-qun
authors: CQ
authors: Li
authors: China Center for Disease Control and Prevention.
authors: Wei-li
authors: WL
authors: Liang
authors: China Center for Disease Control and Prevention.
authors: Duo-chun
authors: DC
authors: Wang
authors: China Center for Disease Control and Prevention.
authors: Mei-ying
authors: MY
authors: Yan
authors: China Center for Disease Control and Prevention.
authors: Jing
authors: J
authors: Lou
authors: China Center for Disease Control and Prevention.
authors: Biao
authors: B
authors: Kan
authors: China Center for Disease Control and Prevention.
authors: Lu
authors: L
authors: Ran
authors: China Center for Disease Control and Prevention.
authors: Zhi-gang
authors: ZG
authors: Cui
authors: Yunnan Yuxi City Center for Disease Control and Prevention. Email: ynyxwsk@163.com.
authors: Shu-kun
authors: SK
authors: Wang
authors: Shanghai Municipal Center for Disease Control and Prevention. Email: xbxu@scdc.sh.cn.
authors: Xue-bin
authors: XB
authors: Xu
mesh_terms: D001431:Bacteriological Techniques; D003195:Computer Communication Networks; D007753:Laboratories; D012475:Salmonella / Q000302:isolation & purification*; D013673:Technology Assessment, Biomedical