Arizona Biosurveillance Workshops

信息系统在制定有效的综合方法来预防、检测、应对和管理动物和人类传染病暴发方面发挥着核心作用。目前，各实验室、卫生保健提供者和地方、州、国家和国际各级政府机构正在收集大量动物和公共卫生传染病数据。此外，许多机构已经开发了不同复杂程度的信息访问、分析和报告系统。来自不同背景的研究人员也做出了贡献，他们开发了促进实时数据收集和共享的技术，以及分析收集数据的算法（例如，为综合征监测量身定制的算法）。实际上，近年来出现了传染病信息学（IDI），这是生物医学信息学的一个分支，系统地研究这些信息管理和分析问题。本次研讨会的目的是将适当的学术和从业者社区成员聚集在一起，进一步推进IDI研究的目标。IDI研究可以概括为收集、共享、报告、分析和可视化传染病数据以及为传染病预防、检测和管理提供数据和决策支持所需的科学和技术的发展。联邦和地方机构的公共卫生人员早就认识到，需要进行信息技术研究，以继续解决数据共享、安全、隐私和疾病数据分析方面的问题。本次讲习班的目的是将IDI研究人员和从业人员聚集在一起，讨论与实时动物和公共卫生监测数据共享和分析直接相关的若干IDI主题。

Information systems play a central role in developing an effective comprehensive approach to prevent, detect, respond to, and manage infectious disease outbreaks of animals and humans. Currently, a large amount of animal and public health infectious disease data is being collected by various laboratories, health care providers, and government agencies at local, state, national, and international levels. Furthermore, many agencies have developed information access, analysis, and reporting systems of varying degrees of sophistication. Researchers from a wide range of backgrounds have also contributed by developing technologies to facilitate real-time data collection and sharing, and algorithms (e.g., those tailored for syndromic surveillance) to analyze collected data. In effect, recent years have witnessed the emergence of infectious disease informatics (IDI), a subfield of biomedical informatics that systematically studies these information management and analysis issues. The purpose of this workshop is to bring together the appropriate academic and practitioner community members to further advance the objectives of IDI research. IDI research can be summarized as the development of the science and technologies needed for collecting, sharing, reporting, analyzing, and visualizing infectious disease data and for providing data and decision-making support for infectious disease prevention, detection, and management. Public health personnel in both federal and local agencies have long recognized the need for IT research to continue to address problems in data sharing, security, privacy, and analysis of disease data. The intent of this workshop is to bring together IDI researchers and practitioners to discuss selected IDI topics directly relevant to data sharing and analysis for real-time animal and public health surveillance.