Literature DB >> 15769359

[A study on early detection for seven infectious diseases].

Wei-Zhong Yang1, Hui-Xian Xing, Han-Zhang Wang, Ya-Jia Lan, Qiao Sun, Shi-Xiong Hu, Wei Lü, Zheng-An Yuan, Yu-Xu Chen, Bai-Qing Dong.   

Abstract

OBJECTIVE: To provide methods and alert thresholds which are scientific, sensitive, specific and practical for Early Warning System in Public Health Surveillance.
METHODS: Alert data was based on historical infectious diseases reports. Control chart was used to detect outbreaks or epidemics. An epidemic was defined by consulting Specialists. After calculating sensitivity, specificity, positive predictive value and describing receiver-operating characteristic curve (ROC), the optimal model and thresholds were chosen.
RESULTS: At 80 percentile, the sensitivities and the specificities of epidemic haemorragia fever, hepatitis A, dysentery, epidemic cerebrospinal meningitis and malaria were over 90%, and there was a high efficacy of early warning. At 90 percentile, the sensitivities and the specificities of tuberculosis and measles were over 85%, and there was a high efficacy of early warning also.
CONCLUSION: Control chart based on five years was chose as a essential method in early warning system. The alert threshold for epidemic haemorragia fever, hepatitis A, dysentery, epidemic cerebrospinal meningitis and malaria was 80 percentile. The alert threshold for tuberculosis and measles was 90 percentile.

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Year:  2004        PMID: 15769359

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  6 in total

1.  'Outbreak Gold Standard' selection to provide optimized threshold for infectious diseases early-alert based on China Infectious Disease Automated-alert and Response System.

Authors:  Rui-Ping Wang; Yong-Gen Jiang; Gen-Ming Zhao; Xiao-Qin Guo; Engelgau Michael
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-12-21

2.  Establishing a web-based integrated surveillance system for early detection of infectious disease epidemic in rural China: a field experimental study.

Authors:  Wei-rong Yan; Shao-fa Nie; Biao Xu; Heng-jin Dong; Lars Palm; Vinod K Diwan
Journal:  BMC Med Inform Decis Mak       Date:  2012-02-03       Impact factor: 2.796

3.  Epidemic features affecting the performance of outbreak detection algorithms.

Authors:  Jie Kuang; Wei Zhong Yang; Ding Lun Zhou; Zhong Jie Li; Ya Jia Lan
Journal:  BMC Public Health       Date:  2012-06-08       Impact factor: 3.295

4.  A new method for assessing the risk of infectious disease outbreak.

Authors:  Yilan Liao; Bing Xu; Jinfeng Wang; Xiaochi Liu
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

5.  How to select a proper early warning threshold to detect infectious disease outbreaks based on the China infectious disease automated alert and response system (CIDARS).

Authors:  Ruiping Wang; Yonggen Jiang; Engelgau Michael; Genming Zhao
Journal:  BMC Public Health       Date:  2017-06-12       Impact factor: 3.295

Review 6.  Analysis of Monitoring, Early Warning and Emergency Response System for New Major Infectious Diseases in China and Overseas.

Authors:  Xing-Li Du; Xin-Rui Zhao; Huan Gao; Wan-Wan Shen; Jia-Zhi Liao
Journal:  Curr Med Sci       Date:  2021-02-13
  6 in total

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