Evidence map›Paper›PMID 36277094›Full record

ArticleOne health (Amsterdam, Netherlands)2022

Understanding dengue solution and larval indices surveillance system among village health volunteers in high- and low-risk dengue villages in southern Thailand.

Orratai Nontapet, Sarunya Maneerattanasak, Jiraporn Jaroenpool, Atchara Phumee, Wirut Krachai, Pawinee Napet, Md Siddikur Rahman, Charuai Suwanbamrung

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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.

Orratai NontapetExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, 80160, Thailand.
Sarunya ManeerattanasakExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, 80160, Thailand.
Jiraporn JaroenpoolExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, 80160, Thailand.
Atchara PhumeeExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, 80160, Thailand.
Wirut KrachaiSchool of Public Health, Walailak University, 80160, Thailand.
Pawinee NapetSchool of Public Health, Walailak University, 80160, Thailand.
Md Siddikur RahmanDepartment of Statistics, Begum Rokeya University, Rangpur 5404, Bangladesh.
Charuai SuwanbamrungExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, 80160, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Successful dengue solutions require community collaboration between agencies engaged in human health, vector control and the environment. In Thailand, village health volunteers emphasize the need for a health working group to interact, collaborate, and coordinate actions. The objectives of this study were to acquire an understanding of dengue solutions, as well as the larval indices surveillance system of village health volunteers in high- and low-risk dengue villages. Methods: After 12 months of training in dengue prevention and setting larval indices surveillance systems, an analytical cross-sectional survey was conducted. A total of 117 villages were included in the 18 primary care facilities within one district in southern Thailand, and they were divided into 71 high-risk and 46 low-risk dengue villages. Sample size was determined using the G*power formula. The content validity index and reliability values of Cronbach's alpha coefficient for the questionnaires were 0.91 and 0.83, respectively. A random sampling approach was used to acquire data. The chi-square test, Results: The study included 1302 village health volunteers, including 895 and 407 from high- and low-risk dengue communities, respectively. In total, 87.9% were female, 51.6% were 20-35 years old, 48.8% had worked as a village health volunteer for 11-20 years, 27.1% had an upper elementary education, and 59.1% had dengue in the previous 12 months. Understanding of the dengue solution and larval indices surveillance system varied across high- and low-risk dengue villages. Village health volunteers with a high level of understanding of the dengue solution and larval indies surveillance system were 1.064 and 1.504 times more likely to stay in high-risk dengue villages, respectively (odds ratio [OR] = 1.064, 95% confidence interval [CI]:0.798-1.419, Conclusions: Village health volunteers require ongoing training to understand the prevention and control of dengue and larval indices surveillance systems, promote awareness, and monitor dengue in both high- and low-risk dengue villages.

Indexed as

BI, Breteau indexCI, container indexDCD, division control diseaseDengue prevention and controlHigh and low risk dengue villageHI, house indexH-RDV, high-risk dengue villageLarval indices surveillance systemL-RDV, low-risk dengue villageOR, odds ratioPCU, primary care unitPrimary care unitUDS, understanding dengue solutionULISS, understanding larval indices surveillance systemVHV, village health volunteerVillage health volunteerWHO, World Health Organization

Identifiers

PMID36277094
PMCPMC9582563

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LicenceCC BY-NC-ND
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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.