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: 8469532
• 负责人: JOHN STELLING
• 金额: $ 42.61万
• 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/8469532
• 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.

描述（由申请人提供）：传染病和抗菌剂耐药性日益严重，对全世界人类和动物福利构成威胁，并耗尽有限的资源。为了遏制和管理感染微生物及其抗性基因，我们需要知道它们在哪里以及它们要去哪里。世界各地数以千计的微生物实验室每天都会生成结果，这些结果可以允许跟踪和有针对性的控制干预措施，但医疗保健提供者和公共卫生机构却难以收集、整合和利用来自分散系统的数据。为了应对这一挑战，我们世界卫生组织抗菌素耐药性监测合作中心的团队与世界卫生组织合作开发并传播了 WHONET 软件 20 多年。 WHONET 是领先的免费公共卫生软件，支持基于电子实验室的抗菌药物耐药性监测，并支持 90 多个国家和 1300 家医院、公共卫生、食品和动物实验室的监测活动。该项目将通过创建一个多层次（地方、国家、区域、全球）网络系统来支持感染和抗菌素耐药性的自动化、实时协作监测，从而改变这一举措。主要目标包括：1）用于数据管理、分析和呈现的安全多层 Web 架构； 2) 基于网络的多级分析，可自动向医疗保健专业人员和国家当局发出具有公共卫生重要性的调查结果的警报； 3) 在四个合作伙伴网络中试点实施新平台； 4) 创建生产实施的实施指南。事实证明，不兼容的信息系统缺乏数据转换工具是广泛数据共享的主要技术障碍，而我们在过去 20 年中为应对这一挑战而开发的数据标准化实用程序已被证明对 WHONET 的成功扩展至关重要。我们将把积累的专业知识和翻译资源转移到基于网络的解决方案，以减少协作监控的障碍。自动迭代多级数据分析可以随时识别任何地点任何病原体的新威胁。定量多药耐药模式和常规生化标记的地理参考公共图书馆将允许微生物亚群的表型描述，提高 WHONET 时空疫情检测算法的灵敏度和特异性，并促进早期识别、跟踪和遏制以前未识别的菌株公共卫生或进化的重要性。微生物在人、医院、动物、大陆之间移动并进化。通过自动化、实时地动员和警惕丰富但基本上尚未开发的资源（世界微生物学实验室的累积努力），我们的目标是在公共部门开发可在全球范围内应用的免费解决方案，以动员、共享和解释这些数据指导及时有效的公共卫生行动。