Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis
BackgroundEmerging 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. Te...
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JMIR Publications
2025-03-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2025/1/e55356 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Carrie McNeil |
| collection | DOAJ |
| description |
BackgroundEmerging 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.
ObjectiveThis 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.
MethodsContacts 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.
ResultsA 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.
ConclusionsSeveral 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. |
| format | Article |
| id | doaj-art-3ee45aaf44c942a6b12caabefdb58b22 |
| institution | DOAJ |
| issn | 2369-2960 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj-art-3ee45aaf44c942a6b12caabefdb58b222025-08-20T02:42:11ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602025-03-0111e5535610.2196/55356Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive AnalysisCarrie McNeilhttps://orcid.org/0000-0002-4933-4920Nomita Divihttps://orcid.org/0000-0003-0042-4148Charles Thomas Bargeron IVhttps://orcid.org/0000-0003-3557-7427Andrea Capobianco Dondonahttps://orcid.org/0000-0002-5970-8383Kacey C Ernsthttps://orcid.org/0000-0002-3346-7788Angela S Guptahttps://orcid.org/0000-0002-0817-0595Olukayode Fasominuhttps://orcid.org/0000-0002-8953-4724Lucy Keattshttps://orcid.org/0000-0002-0252-8154Terra Kellyhttps://orcid.org/0000-0001-6762-7885Onicio B Leal Netohttps://orcid.org/0000-0001-5785-1867May O Lwinhttps://orcid.org/0000-0003-1832-8242Mvuyo Makhasihttps://orcid.org/0000-0002-7647-9463Eric Beda Mutagahywahttps://orcid.org/0000-0001-7530-0276Diego Montecino-Latorrehttps://orcid.org/0000-0002-5009-5939Sarah Olsonhttps://orcid.org/0000-0002-8484-9006Pranav S Pandithttps://orcid.org/0000-0001-7649-0649Daniela Paolottihttps://orcid.org/0000-0003-1356-3470Matt C Parkerhttps://orcid.org/0009-0008-5204-8205Muhammad Haiman Samadhttps://orcid.org/0009-0000-8374-6649Kara Sewalkhttps://orcid.org/0000-0002-2917-0869Anita Sheldenkarhttps://orcid.org/0000-0002-5402-9269Lertrak Srikitjakarnhttps://orcid.org/0000-0002-3219-3180Channé Suy Lanhttps://orcid.org/0000-0001-9180-4634Michael Wilkeshttps://orcid.org/0000-0002-8462-1423Terdsak Yanohttps://orcid.org/0000-0002-9717-233XMark Smolinskihttps://orcid.org/0000-0002-5713-8241 BackgroundEmerging 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. ObjectiveThis 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. MethodsContacts 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. ResultsA 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. ConclusionsSeveral 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.https://publichealth.jmir.org/2025/1/e55356 |
| spellingShingle | 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 Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis JMIR Public Health and Surveillance |
| title | Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis |
| title_full | Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis |
| title_fullStr | Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis |
| title_full_unstemmed | Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis |
| title_short | Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis |
| title_sort | data parameters from participatory surveillance systems in human animal and environmental health from around the globe descriptive analysis |
| url | https://publichealth.jmir.org/2025/1/e55356 |
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