Evidence map›Paper›PMID 29563079›Full record

ArticleJMIR public health and surveillance2018

A Participatory System for Preventing Pandemics of Animal Origins: Pilot Study of the Participatory One Health Disease Detection (PODD) System.

Terdsak Yano, Somphorn Phornwisetsirikun, Patipat Susumpow, Surasing Visrutaratna, Karoon Chanachai, Polawat Phetra, Warangkhana Chaisowwong, Pairat Trakarnsirinont, Phonpat Hemwan, Boontuan Kaewpinta and 12 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  8. Global prioritization of endemic zoonotic diseases for conducting surveillance in domestic animals to protect public health.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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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

22 authors at 2 institutions in 1 country.

Terdsak YanoFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-9717-233X
Somphorn PhornwisetsirikunDepartment of Livestock Development, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-6372-3842
Patipat SusumpowOpendream Co Ltd, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-0178-886X
Surasing VisrutaratnaChiang Mai Provincial Public Health Office, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-1248-5645
Karoon ChanachaiDepartment of Livestock Development, Bangkok, Thailand.ORCID http://orcid.org/0000-0001-6839-4235
Polawat PhetraOpendream Co Ltd, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-4411-8970
Warangkhana ChaisowwongFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-9609-1087
Pairat TrakarnsirinontFaculty of Political Science, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-7099-5865
Phonpat HemwanFaculty of Social Sciences, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-7461-4142
Boontuan KaewpintaFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-4381-435X
Charuk SinghapreechaFaculty of Economics, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0003-4846-2186
Khwanchai KreausukonFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0003-1843-992X
Arisara CharoenpanyanetFaculty of Social Sciences, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-5750-2560
Chongchit Sripun RobertFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-9475-6308
Lamar RobertFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-2905-0189
Pranee RodtianDepartment of Livestock Development, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-1105-2936
Suteerat MahasingChiang Mai Provincial Public Health Office, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-1810-3898
Ekkachai LaiyaFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-6542-5243
Sakulrat PattamakaewFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-8742-9250
Taweesart TankitiyanonFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-3625-5553
Chalutwan SansamurFaculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0001-9328-955X
Lertrak Srikitjakarn *Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0002-3219-3180
Chiang Mai University · THDepartment of Livestock Development · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create a novel disease surveillance system called Participatory One Health Disease Detection (PODD). PODD is a community-owned surveillance system that collects data from volunteer reporters; identifies disease outbreak automatically; and notifies the local governments (LGs), surrounding villages, and relevant authorities. This system provides a direct and immediate benefit to the communities by empowering them to protect themselves.

objectiveThe objective of this study was to determine the effectiveness of the PODD system for the rapid detection and control of disease outbreaks.

methodsThe system was piloted in 74 LGs in Chiang Mai, Thailand, with the participation of 296 volunteer reporters. The volunteers and LGs were key participants in the piloting of the PODD system. Volunteers monitored animal and human diseases, as well as environmental problems, in their communities and reported these events via the PODD mobile phone app. LGs were responsible for outbreak control and provided support to the volunteers. Outcome mapping was used to evaluate the performance of the LGs and volunteers.

resultsLGs were categorized into one of the 3 groups based on performance: A (good), B (fair), and C (poor), with the majority (46%,34/74) categorized into group B. Volunteers were similarly categorized into 4 performance groups (A-D), again with group A showing the best performance, with the majority categorized into groups B and C. After 16 months of implementation, 1029 abnormal events had been reported and confirmed to be true reports. The majority of abnormal reports were sick or dead animals (404/1029, 39.26%), followed by zoonoses and other human diseases (129/1029, 12.54%). Many potentially devastating animal disease outbreaks were detected and successfully controlled, including 26 chicken high mortality outbreaks, 4 cattle disease outbreaks, 3 pig disease outbreaks, and 3 fish disease outbreaks. In all cases, the communities and animal authorities cooperated to apply community contingency plans to control these outbreaks, and community volunteers continued to monitor the abnormal events for 3 weeks after each outbreak was controlled.

conclusionsBy design, PODD initially targeted only animal diseases that potentially could emerge into human pandemics (eg, avian influenza) and then, in response to community needs, expanded to cover human health and environmental health issues.

Indexed as

backyard chickencommunity-owned disease surveillance systemmobile appone healthpandemic preventionparticipatory approachPODD

Identifiers

PMID29563079
PMCPMC5885059
OpenAlexW2790999431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.