Evidence map›Paper›PMID 40138683›Full record

ArticleJMIR public health and surveillance2025

Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis.

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 and 16 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Carrie McNeilEnding Pandemics, San Francisco, CA, United States.ORCID 0000-0002-4933-4920
Nomita DiviEnding Pandemics, San Francisco, CA, United States.ORCID 0000-0003-0042-4148
Charles Thomas Bargeron IvCenter for Invasive Species & Ecosystem Health, University of Georgia, Tifton, GA, United States.ORCID 0000-0003-3557-7427
Andrea Capobianco DondonaFood and Agriculture Organization of United Nations, Rome, Italy.ORCID 0000-0002-5970-8383
Kacey C ErnstDepartment of Epidemiology and Biostatistics, College of Public Health, University of Arizona, Tucson, AZ, United States.ORCID 0000-0002-3346-7788
Angela S GuptaCollege of Extension, University of Minnesota, Rochester, MN, United States.ORCID 0000-0002-0817-0595
Olukayode FasominuVolte Health Systems Limited, Abuja, Nigeria.ORCID 0000-0002-8953-4724
Lucy KeattsHealth Program, Wildlife Conservation Society, Bronx, NY, United States.ORCID 0000-0002-0252-8154
Terra KellyEpiEcos LLC, Flagstaff, AZ, United States.ORCID 0000-0001-6762-7885
Onicio B Leal NetoCollege of Public Health, Department of Epidemiology and Biostatistics, University of Arizona, Tuscon, AZ, United States.ORCID 0000-0001-5785-1867
May O LwinWee Kim Wee School of Communication & Information, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-1832-8242
Mvuyo MakhasiCentre for Respiratory Diseases and Meningitis, National Health Laboratory Service, National Institute for Communicable Diseases, Johannesburg, South Africa.ORCID 0000-0002-7647-9463
Eric Beda MutagahywaSACIDS Foundation for One Health, Morogoro, United Republic of Tanzania.ORCID 0000-0001-7530-0276
Diego Montecino-LatorreHealth Program, Wildlife Conservation Society, Bronx, NY, United States.ORCID 0000-0002-5009-5939
Sarah OlsonHealth Program, Wildlife Conservation Society, Bronx, NY, United States.ORCID 0000-0002-8484-9006
Pranav S PanditDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.ORCID 0000-0001-7649-0649
Daniela PaolottiInstitute for Scientific Interchange, Turin, Italy.ORCID 0000-0003-1356-3470
Matt C ParkerOpen Dream, Bangkok, Thailand.ORCID 0009-0008-5204-8205
Muhammad Haiman SamadSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0009-0000-8374-6649
Kara SewalkBoston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-2917-0869
Anita SheldenkarSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-5402-9269
Lertrak SrikitjakarnPODD Centre, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-3219-3180
Channé Suy LanKawsang Co, LTD, Phnom Penh, Cambodia.ORCID 0000-0001-9180-4634
Michael WilkesSchool of Medicine, University of California, Davis, Davis, CA, United States.ORCID 0000-0002-8462-1423
Terdsak YanoFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai University, Thailand.ORCID 0000-0002-9717-233X
Mark SmolinskiEnding Pandemics, San Francisco, CA, United States.ORCID 0000-0002-5713-8241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Environmental HealthPopulation SurveillanceAnimalsGlobal HealthHumansOne Healthcitizen sciencecommunity-based surveillancedata standardsdigital disease detectionenvironmental healthhuman healthlivestock healthOne Healthparticipatory surveillancewildlife health

Identifiers

PMID40138683
PMCPMC11982754

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.