Evidence map›Paper›PMID 36231289›Full record

ArticleInternational journal of environmental research and public health2022

Effects of the Developing and Using a Model to Predict Dengue Risk Villages Based on Subdistrict Administrative Organization in Southern Thailand.

Orratai Nontapet, Jiraporn Jaroenpool, Sarunya Maneerattanasa, Supaporn Thongchan, Chumpron Ponprasert, Patthanasak Khammaneechan, Cua Ngoc Le, Nirachon Chutipattana, Charuai Suwanbamrung

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Orratai NontapetExcellent Center for Dengue and Community Public Health (EC for DACH), School of Nursing, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.
Jiraporn JaroenpoolExcellent Center for Dengue and Community Public Health (EC for DACH), School of Allied Health Sciences, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0002-3634-7538
Sarunya ManeerattanasaSchool of Public Health, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.
Supaporn ThongchanExcellent Center for Dengue and Community Public Health (EC for DACH), The Center for Digital Technology, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.
Chumpron PonprasertPublic Health Official of Lansaka District, Nakhon Si Thammarat 80160, Thailand.
Patthanasak KhammaneechanExcellent Center for Dengue and Community Public Health (EC for DACH), School of Public Health, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0002-2887-8275
Cua Ngoc LeExcellent Center for Dengue and Community Public Health (EC for DACH), School of Public Health, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.
Nirachon ChutipattanaExcellent Center for Dengue and Community Public Health (EC for DACH), School of Public Health, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.
Charuai SuwanbamrungExcellent Center for Dengue and Community Public Health (EC for DACH), School of Public Health, Walailak University, Thasala District, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0003-2318-4570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to evaluate the effects of developing and using a model to predict dengue risk in villages and of a larval indices surveillance system for 2372 households in 10 Thai villages. A community participatory action research method was used in five steps: (1) community preparation covering all stakeholders, (2) assessment of the understanding of a dengue solution and a larval indices surveillance system, (3) development of a prediction and intervention model for dengue risk villages, (4) implementation of the model that responds to all stakeholders, and (5) evaluation of the effects of using the model. The questionnaires to assess and evaluate were validated and reliability tested. The chi-square test and Fisher's exact test were used to analyze the quantitative data collected by means of questionnaires. Thematic analysis was applied to the qualitative data collected through interviews. The results found that the model consisted of six main activities, including (1) setting team leader responsibility, (2) situation assessment, (3) prediction of the dengue risk in villages, (4) the six steps of the larval indices surveillance system, (5) the understanding of the dengue solution and the understanding of the larval indices surveillance system training program, and (6) local wisdom innovation. The effects of using the model showed a statistically significant increase in correct understanding among 932 family leaders, 109 village health volunteers, and 59 student leaders regarding dengue prevention and control (

Indexed as

AedesDengueAnimalsHealth Knowledge, Attitudes, PracticeHumansLarvaReproducibility of ResultsThailandcommunity participatory action researchdengue risklarval indicessubdistrict administrative organizationsurveillance systemvillage

Identifiers

PMID36231289
PMCPMC9565314

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LicenceCC BY
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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.