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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.
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http://dx.doi.org/10.2196/55356 | DOI Listing |
J Food Prot
September 2025
School of Public Health, Division of Environmental Health Sciences, University of Minnesota, Minneapolis, MN, USA.
Foodborne illness outbreaks are a serious public health concern; faster identification enables the implementation of control measures to prevent others from becoming ill. User-generated data and artificial intelligence can be used to develop outbreak signals that could be disclosed to the public before they are associated with an actual outbreak of foodborne illness. We employed a vignette-based discrete choice experiment survey to examine when and why individuals would self-identify as ill during a publicized foodborne illness outbreak.
View Article and Find Full Text PDFHawaii J Health Soc Welf
July 2025
Native Hawaiian and Indigenous Health Summer Health Academy.
Indigenous ways of knowing center on balance and holism, with an emphasis of learning through ancestral and intergenerational knowledge, which continue to be revitalized as a demonstration of the ongoing resilience of Indigenous Peoples. The Native Hawaiian and Indigenous Health (NHIH) Summer Health Academy (SHA) program was developed and implemented with an objective of increasing diversity, equity, and inclusion in higher education, fostering relationships at multiple levels, addressing gaps in education and academia, preparing students to work with and for Native and Indigenous communities, and changing the narrative of health and healing to better align with Native Hawaiian and Indigenous worldviews of health. Program activities included individualized mentoring, critical self-reflections through activities such as Indigenous photovoice, experiential opportunities to learn about social determinants of health, and community-engaged research projects.
View Article and Find Full Text PDFFront Public Health
September 2025
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Introduction: Racial/ethnic differences in personal care product (PCP) use, including hair products, are well-documented in the United States (US). Black women are more highly exposed to endocrine disrupting chemicals in PCPs compared to other racial/ethnic groups. We identified barriers and facilitators to safer hair product purchasing and use in the greater Boston, Massachusetts area.
View Article and Find Full Text PDFAIDS Educ Prev
August 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Our community-based participatory research partnership developed and tested the bilingual Appalachian Access Project, a peer navigation and mHealth intervention designed to promote HIV, sexually transmitted infection, hepatitis C virus, and mpox prevention and care among gay, bisexual, queer, and other men who have sex with men and transgender and nonbinary persons in Appalachia and to support medically supervised gender-affirming hormone therapy (GAHT) access among those desiring it. Although the intervention did not achieve its intended behavioral outcomes (e.g.
View Article and Find Full Text PDFStud Health Technol Inform
September 2025
Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University Leipzig, Germany.
Introduction: Distributed healthcare research infrastructures face significant challenges when translating routine clinical data into harmonized, research-ready formats using HL7 FHIR standards.
State Of The Art: Existing FHIR-based pipelines such as the SMART/HL7 FHIR Bulk Data Access API, FHIR-to-OMOP mappings, and analytical services like Pathling demonstrate technical feasibility. However, most assume semantically valid FHIR data, operate within single-institution settings, and lack practical guidance for deployment across heterogeneous, regulated environments.