McNeil Carrie, Divi Nomita, Bargeron Iv Charles Thomas, Capobianco Dondona Andrea, Ernst Kacey C, Gupta Angela S, Fasominu Olukayode, Keatts Lucy, Kelly Terra, Leal Neto Onicio B, Lwin May O, Makhasi Mvuyo, Mutagahywa Eric Beda, Montecino-Latorre Diego, Olson Sarah, Pandit Pranav S, Paolotti Daniela, Parker Matt C, Samad Muhammad Haiman, Sewalk Kara, Sheldenkar Anita, Srikitjakarn Lertrak, Suy Lan Channé, Wilkes Michael, Yano Terdsak, Smolinski Mark
Ending Pandemics, San Francisco, CA, United States.
Center for Invasive Species & Ecosystem Health, University of Georgia, Tifton, GA, United States.
JMIR Public Health Surveill. 2025 Mar 26;11:e55356. doi: 10.2196/55356.
Emerging pathogens and zoonotic spillover highlight the need for One Health surveillance to detect outbreaks as early as possible. Participatory surveillance empowers communities to collect data at the source on the health of animals, people, and the environment. Technological advances increase the use and scope of these systems. This initiative sought to collate information from active participatory surveillance systems to better understand parameters collected across the One Health spectrum.
This study aims to develop a compendium of One Health data parameters by examining participatory surveillance systems active in 2023. The expected outcomes of the compendium were to pinpoint specific parameters related to human, animal, and environmental health collected globally by participatory surveillance systems and to detail how each parameter is collected. The compendium was designed to help understand which parameters are currently collected and serve as a reference for future systems and for data standardization initiatives.
Contacts associated with the 60 systems identified through the One Health Participatory Surveillance System Map were invited by email to provide specific data parameters, methodologies used for data collection, and parameter-specific considerations. Information was received from 38 (63%) active systems. Data were compiled into a searchable spreadsheet-based compendium organized into 5 sections: general, livestock, wildlife, environmental, and human parameters. An advisory group comprising experts in One Health participatory surveillance reviewed the collected parameters, refined the compendium structure, and contributed to the descriptive analysis.
A comprehensive compendium of data parameters from a diverse array of single-sector and multisector participatory surveillance systems was collated and reviewed. The compendium includes parameters from 38 systems used in Africa (n=3, 8%), Asia (n=9, 24%), Europe (n=12, 32%), Australia (n=3, 8%), and the Americas (n=12, 32%). Almost one-third of the systems (n=11, 29%) collect data across multiple sectors. Many (n=17, 45%) focus solely on human health. Variations in data collection techniques were observed for commonly used parameters, such as demographics and clinical signs or symptoms. Most human health systems collected parameters from a cohort of users tracking their own health over time, whereas many wildlife and environmental systems incorporated event-based parameters.
Several participatory surveillance systems have already adopted a One Health approach, enhancing traditional surveillance by identifying shared health threats among animals, people, and the environment. The compendium reveals substantial variation in how parameters are collected, underscoring the need for further work in system interoperability and data standards to allow for timely data sharing across systems during outbreaks. Parameters collated from across the One Health spectrum represent a valuable resource for informing the development of future systems and identifying opportunities to expand existing systems for multisector surveillance.
新出现的病原体和人畜共患病的溢出凸显了开展“同一健康”监测以尽早发现疫情的必要性。参与式监测使社区能够在源头收集有关动物、人类和环境健康的数据。技术进步增加了这些系统的使用和范围。该倡议旨在整理来自活跃的参与式监测系统的信息，以更好地了解在“同一健康”范围内收集的参数。
本研究旨在通过审查2023年活跃的参与式监测系统，编制一份“同一健康”数据参数汇编。该汇编的预期成果是确定参与式监测系统在全球范围内收集的与人类、动物和环境健康相关的具体参数，并详细说明每个参数的收集方式。该汇编旨在帮助了解目前收集了哪些参数，并为未来的系统和数据标准化倡议提供参考。
通过“同一健康”参与式监测系统地图确定的60个系统的联系人收到电子邮件邀请，要求他们提供具体的数据参数、数据收集方法以及特定参数的注意事项。从38个（63%）活跃系统收到了信息。数据被汇编成一个基于电子表格的可搜索汇编，分为5个部分：一般参数、家畜参数、野生动物参数、环境参数和人类参数。一个由“同一健康”参与式监测专家组成的咨询小组审查了收集到的参数，完善了汇编结构，并参与了描述性分析。
整理并审查了来自各种单部门和多部门参与式监测系统的全面数据参数汇编。该汇编包括来自非洲（n=3，8%）、亚洲（n=9，24%）、欧洲（n=12，32%）、澳大利亚（n=3，8%）和美洲（n=12，32%）的38个系统的参数。近三分之一的系统（n=11，29%）跨多个部门收集数据。许多系统（n=17，45%）仅关注人类健康。对于常用参数，如人口统计学和临床体征或症状，观察到数据收集技术存在差异。大多数人类健康系统从一组长期跟踪自身健康的用户中收集参数，而许多野生动物和环境系统纳入了基于事件的参数。
一些参与式监测系统已经采用了“同一健康”方法，通过识别动物、人类和环境之间共同的健康威胁来加强传统监测。该汇编揭示了参数收集方式的巨大差异，强调需要在系统互操作性和数据标准方面开展进一步工作，以便在疫情期间及时跨系统共享数据。从“同一健康”范围内整理的参数是为未来系统的开发提供信息以及确定扩大现有多部门监测系统机会的宝贵资源。
