Evidence map›Paper›PMID 35686140›Full record

ArticleOne health (Amsterdam, Netherlands)2022

Enhancing global health security in Thailand: Strengths and challenges of initiating a One Health approach to avian influenza surveillance.

Gabriel K Innes, Anastasia S Lambrou, Pornchai Thumrin, Yupawat Thukngamdee, Ratanaporn Tangwangvivat, Pawinee Doungngern, Kirana Noradechanon, Punnaporn Netrabukkana, Karen Meidenbauer, Thomas Mehoke and 3 more

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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

13 authors at 8 institutions in 2 countries.

Gabriel K InnesYuma Center of Excellence for Desert Agriculture, The University of Arizona, Tucson, AZ, USA.
Anastasia S LambrouDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Pornchai ThumrinOffice of International Cooperation, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Yupawat ThukngamdeeBurea of Disease Control and Veterinary Sciences, Department of Livestock Development, Bangkok, Thailand.
Ratanaporn TangwangvivatDivision of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Pawinee DoungngernDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Kirana NoradechanonWildlife Conservation Office, Department of National Parks Wildlife and Plant Conservation, Bangkok, Thailand.
Punnaporn NetrabukkanaAvian Veterinary Services, CPF (Thailand) PCL, Bangkok, Thailand.
Karen MeidenbauerJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Thomas MehokeJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Christopher D HeaneyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Soawapak HinjoyOffice of International Cooperation, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Anissa N ElayadiJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Johns Hopkins University Applied Physics Laboratory · USDepartment of Disease Control · THMinistry of Public Health · THDepartment of Livestock Development · THDepartment of National Parks Wildlife and Plant Conservation · THJohns Hopkins University · USPTT Public Company Limited (Thailand) · THUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious disease surveillance systems support early warning, promote preparedness, and inform public health response. Pathogens that have human, animal, and environmental reservoirs should be monitored through systems that incorporate a One Health approach. In 2016, Thailand's federal government piloted an avian influenza (AI) surveillance system that integrates stakeholders from human, animal, and environmental sectors, at the central level and in four provinces to monitor influenza A viruses within human, waterfowl, and poultry populations. This research aims to describe and evaluate Thailand's piloted AI surveillance system to inform strategies for strengthening and building surveillance systems relevant to One Health. We assessed this surveillance system using the United States Centers for Disease Control and Prevention's (U.S. CDC) "Guidelines for Evaluating Public Health Surveillance Systems" and added three novel metrics: transparency, interoperability, and security. In-depth key informant interviews were conducted with representatives among six Thai federal agencies and departments, the One Health coordinating unit, a corporate poultry producer, and the Thai Ministry of Public Health-U.S. CDC Collaborating Unit. Thailand's AI surveillance system demonstrated strengths in acceptability, simplicity, representativeness, and flexibility, and exhibited challenges in data quality, stability, security, interoperability, and transparency. System efforts may be strengthened through increasing laboratory integration, improving pathogen detection capabilities, implementing interoperable systems, and incorporating sustainable capacity building mechanisms. This innovative piloted surveillance system provides a strategic framework that can be used to develop, integrate, and bolster One Health surveillance approaches to combat emerging global pathogen threats and enhance global health security.

Indexed as

Avian influenzaGlobal health securityOne HealthSurveillanceThailandZoonoses

Identifiers

PMID35686140
PMCPMC9171517
OpenAlexW4280529076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.