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Expert consensus on One Health for establishing an enhanced and integrated surveillance system for key infectious diseases.
Cheng, Yanpeng; Zhang, Zhen; Shu, Yuelong; Ren, Lili; Kang, Min; Kong, Dongfeng; Shi, Xiaolu; Lv, Qiuying; Chen, Zhigao; Li, Yinghui; Zhang, Renli; Lu, Puxuan; Lu, Yan; Liu, Tingting; Chen, Nixuan; Xiong, Huawei; Du, Chen; Yuan, Jun; Wang, Liang; Liu, Rongqi; Chen, Weihong; Li, Xueyun; Lin, Qihui; Li, Gang; Zhang, Xindong; Yuan, Jianhui; Wang, Tieqiang; Guo, Yongchao; Lu, Jianhua; Zou, Xuan; Feng, Tiejian.
Afiliación
  • Cheng Y; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Zhang Z; Shenzhen Research Center for Communicable Disease Control and Prevention, Chinese Academy of Medical Sciences, Shenzhen 518000, China.
  • Shu Y; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Ren L; Shenzhen Research Center for Communicable Disease Control and Prevention, Chinese Academy of Medical Sciences, Shenzhen 518000, China.
  • Kang M; Institute of Medical Biology, Chinese Academy of Medical Sciences, Beijing 100000, China.
  • Kong D; Institute of Medical Biology, Chinese Academy of Medical Sciences, Beijing 100000, China.
  • Shi X; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510000, China.
  • Lv Q; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Chen Z; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Li Y; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Zhang R; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Lu P; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Lu Y; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Liu T; Electronic Journal of Emerging Infectious Diseases, Shenzhen 518000, China.
  • Chen N; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Xiong H; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Du C; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Yuan J; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Wang L; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Liu R; Guangzhou Center for Disease Control and Prevention, Guangzhou 510000, China.
  • Chen W; Chengdu Center for Disease Control and Prevention, Chengdu 610000, China.
  • Li X; Shenzhen Animal Disease Prevention and Control Center, Shenzhen 518000, China.
  • Lin Q; Luohu District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Li G; Futian District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Zhang X; Longhua District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Yuan J; Longgang District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Wang T; Baoan District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Guo Y; Nanshan District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Lu J; Guangming District Center for Disease Control and Prevention, Shenzhen 518000, China.
  • Zou X; Shenzhen Uni-medical Technology Co., Ltd, Shenzhen 518000, China.
  • Feng T; Shenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Infect Med (Beijing) ; 3(2): 100106, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38827562
ABSTRACT
China has been continuously improving its monitoring methods and strategies to address key infectious diseases (KIDs). After the severe acute respiratory syndrome epidemic in 2003, China established a comprehensive reporting system for infectious diseases (IDs) and public health emergencies. The relatively lagging warning thresholds, limited warning information, and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs. Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority, with increasing demand for early warning thresholds, information, and techniques, thanks to constant innovation and development in molecular biology, bioinformatics, artificial intelligence, and other identification and analysis technologies. A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs (41 notifiable diseases and emerging IDs). The aim of this surveillance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans, animals, and vectors, along with associated environmental pathogens. By integrating factors influencing epidemic spread and risk assessment, the surveillance system can serve to detect, predict, and provide early warnings for the occurrence, development, variation, and spread of known or novel KIDs. Moreover, we recommend comprehensive ID monitoring based on the fourth-generation surveillance system, along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system. This series of considerations is based on systematic and comprehensive monitoring across multiple sectors, dimensions, factors, and pathogens that is supported by data integration and connectivity. This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring, prediction, and early warning capabilities for the next generation of ID surveillance. This expert consensus will serve as a reference for ID prevention and control as well as other related activities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Infect Med (Beijing) Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Infect Med (Beijing) Año: 2024 Tipo del documento: Article País de afiliación: China
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