Evidence map›Paper›PMID 35379343›Full record

ArticleOne health outlook2022

A community-based survey to assess risk for one health challenges in rural Philippines using a mobile application.

Tae Youn Kim, Loinda Baldrias, Sophia Papageorgiou, Edna Aguilar, Michael Tee, Terra Kelly, Jim Hill, Michael Wilkes

Open access · goldAbstract read
In one paragraph

Article in One health outlook, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

8 authors at 3 institutions in 2 countries.

Tae Youn KimBetty Irene Moore School of Nursing, University of California Davis, 2450 48th Street, Suite 2600, Sacramento, CA, 95817, USA. tynkim@ucdavis.edu.
Loinda BaldriasCollege of Veterinary Medicine, University of the Philippines, Los Baños, Laguna, Philippines.
Sophia PapageorgiouOne Health Institute, School of Veterinary Medicine, University of California Davis, Davis, CA, USA.
Edna AguilarCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Michael TeeCollege of Medicine, University of the Philippines, Manila, Philippines.
Terra KellyOne Health Institute, School of Veterinary Medicine, University of California Davis, Davis, CA, USA.
Jim HillCollege of Agriculture and Environmental Sciences, University of California Davis, Davis, CA, USA.
Michael WilkesSchool of Medicine, University of California Davis, Sacramento, CA, USA.
University of California, Davis · USUniversity of the Philippines Los Baños · PHUniversity of the Philippines Manila · PH

Funding

Philippine-California Advanced Research Institutes IHITM 2016-17
6 · The paper itself

Abstract

backgroundRecent emerging and re-emerging diseases in animals and humans show the vulnerability of humans, animals, and crops to disease outbreaks and the large potential impact on health, food security, and economies worldwide. A technology-enabled One Health (OH) surveillance program offers an opportunity for early detection and response as well as prevention of disease outbreaks in resource-limited settings. As an initial step toward developing the surveillance program, we aimed to identify at-risk groups of households for potential shared health challenges at the human-animal-environmental interface in a rural community of the Philippines.

methodsA cross-sectional household survey was conducted in the municipality of Los Baños in proximity (63 kilometers south) to Metro Manila by enumerators living in the same community. Twenty-four enumerators conducted household interviews asking a) household characteristics including ownership of animals and crops; b) awareness, beliefs and knowledge about OH; c) family-level health practices related to sanitation, hygiene, and food safety; and d) risk factors for potential OH issues. All data collection and transferring process were streamlined using a mobile application.

resultsOf 6,055 participating households, 68% reported having one or more of gardens, farms, and animals for various reasons. While only 2% of the households have heard about OH, 97% believed they can get disease from animals, plants or the environment. A latent class analysis with nine risk factors for potential OH issues suggested that 46% of the households were at moderate to high risk for exposure to zoonotic pathogens and environmental contaminants.

conclusionOur findings indicate that there are unaddressed threats to human, animal, and plant health. Given the importance of the interconnections between the health of humans, animals, and plants, further evaluations of the at-risk households would be necessary to mitigate potential shared health threats in the community. Further, our study demonstrates that mHealth technology can provide an opportunity to systematically assess potential one health problems in the rural communities with limited internet connection.

Indexed as

mHealth TechnologyOne HealthPublic HealthRisk FactorsSurveillanceSurvey

Identifiers

PMID35379343
PMCPMC8979641
OpenAlexW4225687650

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.