首页> 外文学位 >Evaluating the 'timeliness' of data used in the Salmonella outbreak detection algorithm.
【24h】

Evaluating the 'timeliness' of data used in the Salmonella outbreak detection algorithm.

机译:评估沙门氏菌暴发检测算法中使用的数据的“及时性”。

获取原文
获取原文并翻译 | 示例

摘要

The epidemiology of Salmonella is changing. It is being associated with a new array of vehicles and is causing large and challenging outbreaks spread over many states and nations. While laboratory surveillance systems, coupled with tools for cluster identification and rapid communication have been developed to meet this challenge, their effectiveness in rapidly identifying outbreaks depends on the availability of timely data. This pioneering exploratory study evaluated the timeliness of data collected by the National Salmonella Surveillance System (NSSS), a national laboratory-based system that collects data electronically from public health laboratories. Additionally, it probed further into the causes of untimely reporting by identifying key factors that affect public health laboratories' abilities to report timely data for national surveillance. Finally, this study proposed solutions and made recommendations for improving timeliness.; This study carried out a secondary analysis of data collected by the NSSS in 1999 to evaluate timeliness and its association with reporting frequency and volume of isolates reported. To identify key issues affecting timely reporting, content analysis of researcher's logbooks, documenting her interactions with reporting sites, was conducted.; This study documented an overall median time lag of twenty-three days with only one of forty-one sites meeting the acceptable timeliness standard of 7 days. Timeliness was not linearly associated with the number of specimen reported; however, timeliness and the frequency of transmission had a significant negative linear association with a high frequency of transmission being associated with a low time lag. The key identified as affecting timely reporting included shortage of manpower resources, information system issues, inadequate support and training, technical/infrastructure issues and lack of an incentive to report.; The results of this study provided baseline information about the timeliness of NSSS data and illustrated the need for having an ongoing audit process to ensure data quality. Additionally, this pioneering study developed an audit process that could be routinely applied to NSSS data to monitor timeliness. Finally, by identifying key areas that affect timely reporting, it provided insights into approaches that could be initiated to improve timeliness.
机译:沙门氏菌的流行病学正在发生变化。它与一系列新的车辆相关联,并导致在许多州和国家/地区爆发大规模且具有挑战性的爆发。尽管已经开发了实验室监视系统,以及用于集群识别和快速通信的工具来应对这一挑战,但它们在快速识别爆发中的有效性取决于及时数据的可用性。这项开创性的探索性研究评估了由国家沙门氏菌监测系统(NSSS)收集的数据的及时性,这是一个基于国家实验室的系统,可以从公共卫生实验室以电子方式收集数据。此外,它通过确定影响公共卫生实验室及时报告数据以进行国家监视的能力的关键因素,进一步探究了不及时报告的原因。最后,这项研究提出了解决方案,并提出了改善及时性的建议。这项研究对1999年NSSS收集的数据进行了二次分析,以评估及时性及其与报告频率和报告的分离株数量的关系。为了确定影响及时报告的关键问题,对研究人员的日志进行了内容分析,记录了其与报告地点的互动。这项研究记录了总共23天的中位时间滞后,只有41个站点中的一个满足了7天的可接受的时效标准。及时性与报告的标本数量不是线性关系。然而,及时性和传输频率具有显着的负线性关联,而传输频率高与延迟时间短相关。被确定为影响及时​​报告的关键包括人力资源短缺,信息系统问题,支持和培训不足,技术/基础设施问题以及缺乏报告动机。这项研究的结果提供了有关NSSS数据及时性的基线信息,并说明了需要进行持续审核过程以确保数据质量的需求。此外,这项开创性研究还开发了一种审核程序,该程序可以常规应用于NSSS数据以监控及时性。最后,通过确定影响及时报告的关键领域,它提供了对可以启动以提高及时性的方法的见解。

著录项

  • 作者

    Mehta, Prachi Dhawal.;

  • 作者单位

    University of Illinois at Chicago, Health Sciences Center, School of Public Health.;

  • 授予单位 University of Illinois at Chicago, Health Sciences Center, School of Public Health.;
  • 学科 Health Sciences Public Health.; Biology Biostatistics.; Information Science.
  • 学位 Dr.P.H.
  • 年度 2002
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;生物数学方法;信息与知识传播;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号