WHONET for automated real-time multilevel global microbial surveillance

WHONET 用于自动实时多级全球微生物监测

• 批准号: 8077111
• 负责人: JOHN STELLING
• 金额: $ 45.66万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2014-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8077111
• 关键词: Address; Algorithms; American; Animal Hospitals; Animal Welfare; Antimicrobial Resistance; Architecture; Argentina; Biochemical Markers; California; Centers for Disease Control and Prevention (U.S.); Clinical Data; Code; Collaborations; Communicable Diseases; Communities; Computer software; Containment; Country; Data; Data Analyses; Databases; Detection; Development; Disease Outbreaks; Disease Resistance; Electronics; Engineering; European; Food; Genes; Geographic Locations; Goals; Health Food; Health Personnel; Health Professional; Health care facility; Healthcare; Hospitals; Human; Indium; Infection; Information Systems; Internet; Intervention; Knowledge; Laboratories; Laboratory Animals; Language; Libraries; Link; Location; Microbe; Microbiology; Modeling; Multi-Drug Resistance; Notification; Online Systems; Organism; Pattern; Production; Public Health; Public Sector; Reporting; Resistance; Resources; Safety; Secure; Security; Sensitivity and Specificity; Services; Solutions; Surveillance Modeling; Surveillance Program; System; Test Result; Testing; Time; Translations; Validation; Work; World Health Organization; antimicrobial drug; authority; base; data exchange; data management; data sharing; disorder control; disorder prevention; file format; improved; microbial; national surveillance; open source; pathogen; software development; software systems; tool; transmission process; vigilance; web services; web-enabled

DESCRIPTION (provided by applicant): Infectious diseases and resistance to antimicrobial agents grow as threats to human and animal welfare worldwide and drain limited resources. To contain and manage infecting microbes and their resistance genes, we need to know where they are and where they are going. Thousands of microbiology laboratories around the world generate results daily which could permit tracking and targeted control interventions, yet healthcare providers and public health agencies struggle to collect, integrate, and utilize data from fragmented systems. To address this challenge, our team at the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance has developed and disseminated the WHONET software for over 20 years in collaboration with the World Health Organization. WHONET is the leading free public health software to support electronic laboratory-based surveillance of antimicrobial resistance, and supports surveillance activities in over 90 countries and 1300 hospital, public health, food, and animal laboratories. This project will transform this initiative through creation of a multilevel (local, national, regional, global) web- based system to support automated, real-time collaborative surveillance of infections and antimicrobial resistance. Key objectives include: 1) a secure multi-tiered web architecture for data management, analysis, and presentation; 2) web-enabled multilevel analytics with automated alerts to healthcare professionals and national authorities of findings of public health importance; 3) pilot implementation of the new platform in four partner networks; and 4) an implementation guide for creation of production implementations. The lack of data transformation tools for incompatible information systems has proved the primary technical obstacle to broad data sharing, and our data normalization utilities developed over the past 20 years to address this challenge have proved crucial to WHONET's successful expansion. We will transfer the accrued expertise and translation resources to web-based solutions to decrease barriers to collaborative surveillance. Automated iterative multilevel data analysis permits the identification of new threats in any pathogen in any location at any time. Geo-referenced public libraries of quantitative multidrug resistance patterns and routine biochemical markers will permit the phenotypic delineation of microbial subpopulations improving the sensitivity and specificity of WHONET's space-time outbreak detection algorithms and facilitating the early recognition, tracking, and containment of previously unrecognized strains of public health or evolutionary importance. Microbes move - between people, hospitals, animals, continents - and evolve. Through automated, real-time mobilization and vigilance of a rich yet largely untapped resource - the cumulative efforts of the world's microbiology laboratories - our goal is the development of free solutions in the public sector that can be applied worldwide to mobilize, share, and interpret these data to guide timely and effective public health action. PUBLIC HEALTH RELEVANCE: The WHONET software developed by the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance is the leading free public health software for electronic laboratory-based surveillance of antimicrobial resistance and supports surveillance activities in over 1300 healthcare facilities in over 90 countries. We propose development of the WHONET Surveillor, a web-based system for automated, real-time, multilevel vigilance for emerging microbial threats in communities, nations, and worldwide utilizing routinely available microbiology test results. By decreasing barriers to collaborative surveillance, we aim to link a rich yet largely untapped resource - the cumulative efforts of the world's microbiology laboratories - to prompt and effective public health action.

描述（由申请人提供）：随着对全球人类和动物福利的威胁，传染病和对抗微生物剂的抵抗力也会增长，并消耗有限的资源。要遏制和管理感染微生物及其抗药性基因，我们需要知道它们在哪里以及它们的去向。每天都有成千上万的微生物学实验室产生结果，这可以允许跟踪和有针对性的控制干预措施，但是医疗保健提供者和公共卫生机构都在努力收集，整合和利用零碎的系统中的数据。为了应对这一挑战，我们在WHO WHO合作中心的抗菌抗药性合作中心已经开发并传播了Whonet软件，与世界卫生组织合作了20多年。 Whonet是领先的免费公共卫生软件，可支持基于电子实验室的抗微生物抵抗的监视，并支持90多个国家和1300个医院，公共卫生，食品和动物实验室的监视活动。该项目将通过创建基于多层次的（本地，国家，区域，全球）系统的系统来改变这项计划，以支持对感染和抗菌抗性的自动化实时协作监视。关键目标包括：1）用于数据管理，分析和演示的安全多层Web体系结构； 2）具有自动化的医疗保健专业人员和国家当局对公共卫生重要性的自动警报的多级分析； 3）四个合作伙伴网络中新平台的试点实施； 4）制定生产实施的实施指南。缺乏针对不兼容信息系统的数据转换工具已证明了广泛数据共享的主要技术障碍，并且我们在过去20年中开发的数据归一化实用程序证明，解决这一挑战对Whonet的成功扩展至关重要。我们将将应计的专业知识和翻译资源转移到基于Web的解决方案中，以减少协作监视的障碍。自动迭代的多层次数据分析允许在任何时候在任何位置识别任何病原体的新威胁。定量多饮用模式和常规生化标记的地理参考的公共图书馆将允许对微生物亚群的表型描绘，从而提高了Whonet时空突发爆发算法的敏感性和特异性，并促进了早期的识别，跟踪，以前不可公开的认可，并促进了不可公开的认可。微生物在人，医院，动物，大陆和进化之间移动。通过自动化，实时的动员和对世界微生物学实验室的累积努力的累积努力，我们的目标是在公共部门开发免费解决方案，这些解决方案可以在全球范围内用于动员，共享和分享和解释这些数据，以指导这些数据，以指导及时和有效的公共卫生行动。 公共卫生相关性：由WHO抗微生物抵抗的监视合作中心开发的WHONET软件是针对基于电子实验室的抗菌耐药性监视的领先的免费公共卫生软件，并支持90多个国家 /地区1300多个医疗机构的监视活动。我们建议开发Whonet Surveillor，这是一种基于网络的系统，用于使用常规可用的微生物学测试结果，用于社区，国家和全球范围内新兴的微生物威胁。通过减少协作监视的障碍，我们旨在将丰富而尚未开发的资源（世界微生物实验室的累积努力）联系起来，以提示有效的公共卫生行动。

项目成果

Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes.

• DOI: 10.1017/s0950268809990884
• 发表时间: 2010-06
• 期刊: EPIDEMIOLOGY AND INFECTION
• 影响因子: 4.2
• 作者: Stelling, J.;Yih, W. K.;Galas, M.;Kulldorff, M.;Pichel, M.;Terragno, R.;Tuduri, E.;Espetxe, S.;Binsztein, N.;O'Brien, T. F.;Platt, R.
• 通讯作者: Platt, R.

Surveillance of antimicrobial resistance and evolving microbial populations in Vermont: 2011-2018.

• DOI: 10.1080/14787210.2020.1776114
• 发表时间: 2020-10
• 期刊: Expert review of anti-infective therapy
• 影响因子: 5.7
• 作者: Stelling J;Read JS;Fritch W;O'Brien TF;Peters R;Clark A;Bokhari M;Lion M;Katwa P;Kelso P
• 通讯作者: Kelso P