Evidence map›Paper›PMID 41464482›Full record

ArticleInternational journal of environmental research and public health2025

Effective Model of Emerging Disease Prevention and Control in a High-Epidemic Area, Chiang Rai Province.

Jiraporn Sangsuwan, Phitsanuruk Kanthawee, Pamornsri Inchon, Phataraphon Markmee, Phaibun Chiraphatthakun

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jiraporn SangsuwanDepartment of Public Health, School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0009-0004-1846-0854
Phitsanuruk KanthaweeDepartment of Public Health, School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0001-7418-3135
Pamornsri InchonDepartment of Public Health, School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-8055-6812
Phataraphon MarkmeeFaculty of Public Health, Naresuan University, Phitsanulok 65000, Thailand.
Phaibun ChiraphatthakunDepartment of Public Health, School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0009-0006-7349-9430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A concurrent mixed-methods study was conducted to examine the factors influencing COVID-19 prevention and control behaviors and to describe the management model implemented in Mae Sai District, a Thai-Myanmar border community, from June 2022 to May 2023. Mae Sai reported 21,890 confirmed cases and 12 deaths during the pandemic, underscoring the severity of the outbreak and the need for an effective local management model. Quantitative results indicated that attitudes, social support, participation, and service accessibility significantly influenced preventive behaviors among the general public. Among volunteers, perception and attitude were also significant, whereas only social support and participation were influential among government officials. The management model identified in this study demonstrated effectiveness through its coordinated multisectoral operations, high community compliance, and rapid cross-border communication. The model consisted of five components: emergency preparedness drills, organizational management through district and subdistrict disease control centers, a unified incident command system led by the district chief, coordinated domestic and international operations, and enforcement of control measures at formal checkpoints, natural crossings, and within communities. Successful implementation depended on strong collaboration among government agencies, volunteers, private organizations, local communities, and partners in Myanmar. This framework may serve as a practical guideline for managing other communicable diseases and enhancing preparedness for future health threats.

Indexed as

Communicable Disease ControlCommunicable Diseases, EmergingCOVID-19AdultFemaleHumansMaleMiddle AgedMyanmarSARS-CoV-2Social SupportThailandborder communitycontrol of diseaseCOVID-19prevention management model

Identifiers

PMID41464482
PMCPMC12732704

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.