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Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis (Preprint)
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BACKGROUND
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.
OBJECTIVE
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
JMIR Publications Inc.
Carrie McNeil
Nomita Divi
Charles Thomas Bargeron IV
Andrea Capobianco Dondona
Kacey C Ernst
Angela S Gupta
Olukayode Fasominu
Lucy Keatts
Terra Kelly
Onicio B Leal Neto
May O Lwin
Mvuyo Makhasi
Eric Beda Mutagahywa
Diego Montecino-Latorre
Sarah Olson
Pranav S Pandit
Daniela Paolotti
Matt C Parker
Muhammad Haiman Samad
Kara Sewalk
Anita Sheldenkar
Lertrak Srikitjakarn
Channé Suy Lan
Michael Wilkes
Terdsak Yano
Mark Smolinski
Title: Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis (Preprint)
Description:
BACKGROUND
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.
OBJECTIVE
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
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