Division of Health Informatics and Surveillance, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia.
J Public Health Manag Pract. 2022;28(2):109-115. doi: 10.1097/PHH.0000000000001216.
Syndromic surveillance consists of the systematic collection and use of near real-time data about health-related events for situational awareness and public health action. As syndromic surveillance programs continue to adopt new technologies and expand, it is valuable to evaluate these syndromic surveillance systems and practices to ensure that they meet public health needs.
This assessment's aim is to provide recent information about syndromic surveillance systems and practice characteristics among a group of state and local health departments.
DESIGN/SETTING: Information was obtained between November 2017 and June 2018 through a telephone survey using an Office of Management and Budget-approved standardized data collection tool. Participants were syndromic surveillance staff from each of 31 state and local health departments participating in the National Syndromic Surveillance Program funded by the Centers for Disease Control and Prevention. Questions included jurisdictional experience, data sources and analysis systems used, syndromic system data processing characteristics, data quality verification procedures, and surveillance activities conducted with syndromic data.
Practice-specific information such as types of systems and data sources used for syndromic surveillance, data quality monitoring, and uses of data for public health situational awareness (eg, investigating occurrences of or trends in diseases).
The survey analysis revealed a wide range of experiences with syndromic surveillance. Participants reported the receipt of data daily or more frequently. Emergency department data were the primary data source; however, other data sources are being integrated into these systems. All health departments routinely monitored data quality. Syndromes of highest priority across the respondents for health events monitoring were influenza-like illness and drug-related syndromes. However, a wide variety of syndromes were reported as priorities across the health departments.
Overall, syndromic surveillance was relevantly integrated into the public health surveillance infrastructure. The near real-time nature of the data and its flexibility to monitor different types of health-related issues make it especially useful for public health practitioners. Despite these advances, syndromic surveillance capacity, locally and nationally, must continue to evolve and progress should be monitored to ensure that syndromic surveillance systems and data are optimally able to meet jurisdictional needs.
症状监测包括系统地收集和使用与健康相关事件的近乎实时数据，以实现态势感知和公共卫生行动。随着症状监测计划继续采用新技术和扩大规模，评估这些症状监测系统和实践以确保它们满足公共卫生需求是很有价值的。
本次评估的目的是提供一组州和地方卫生部门的症状监测系统和实践特征的最新信息。
设计/设置：信息是在 2017 年 11 月至 2018 年 6 月之间通过电话调查获得的，使用了经美国行政管理和预算局批准的标准化数据收集工具。参与者是每个参与由疾病控制与预防中心资助的国家症状监测计划的 31 个州和地方卫生部门的症状监测工作人员。问题包括管辖经验、使用的数据来源和分析系统、症状系统数据处理特征、数据质量验证程序以及使用症状数据进行公共卫生态势感知的监测活动。
实践特定信息，例如用于症状监测的系统和数据来源类型、数据质量监测以及数据在公共卫生态势感知中的使用（例如，调查疾病的发生或趋势）。
调查分析显示，症状监测的经验范围广泛。参与者报告每天或更频繁地收到数据。急诊室数据是主要的数据来源；然而，其他数据源正在被整合到这些系统中。所有卫生部门都定期监测数据质量。在被调查者中，对流感样疾病和药物相关综合征等健康事件监测的最高优先级症状。然而，在各个卫生部门中，报告了各种不同的优先症状。
总体而言，症状监测与公共卫生监测基础设施高度整合。数据的近实时性质及其灵活监测各种与健康相关问题的能力使其对公共卫生从业人员特别有用。尽管取得了这些进展，但地方和国家的症状监测能力必须继续发展，应监测进展情况，以确保症状监测系统和数据能够最佳地满足管辖需求。
