Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the
Carrie McNeil1, Nomita Divi1, Charles Thomas Bargeron Iv2
1Ending Pandemics, San Francisco, CA, United States.
JMIR Public Health and Surveillance
|March 26, 2025
Summary
Participatory surveillance systems are increasingly adopting a One Health approach, collecting diverse data on animal, environmental, and human health. This compendium highlights variations in data collection, emphasizing the need for standardization to improve outbreak detection and response.
Area of Science:
- Public Health
- Epidemiology
- Veterinary Medicine
- Environmental Science
Background:
- Emerging pathogens and zoonotic diseases necessitate robust One Health surveillance for early outbreak detection.
- Participatory surveillance empowers communities to gather crucial data at the source on animal, human, and environmental health.
- Technological advancements are expanding the capabilities and reach of these surveillance systems.
Purpose of the Study:
- To develop a comprehensive compendium of One Health data parameters from active participatory surveillance systems in 2023.
- To identify specific human, animal, and environmental health parameters collected globally and their methodologies.
- To provide a reference for current data collection practices and inform future system development and data standardization.
Main Methods:
- 38 active participatory surveillance systems (63% response rate) were identified via the One Health Participatory Surveillance System Map.
- Systems provided data on parameters collected, methodologies, and specific considerations via email.
- Data were compiled into a searchable spreadsheet compendium, reviewed by an expert advisory group.
Main Results:
- The compendium includes parameters from 38 systems across Africa, Asia, Europe, Australia, and the Americas.
- 29% of systems collect data across multiple sectors; 45% focus solely on human health.
- Significant variations exist in data collection techniques for common parameters like demographics and clinical signs.
Conclusions:
- Participatory surveillance systems are effectively integrating a One Health approach to identify shared health threats.
- Variability in data collection methods underscores the need for improved system interoperability and data standards for timely outbreak response.
- The collated parameters offer a valuable resource for developing and expanding multisectoral surveillance systems.
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