Evidence map›Paper›PMID 40050267›Full record

ArticleHuman vaccines & immunotherapeutics2025

Attitudes and acceptance of vaccination against neglected tropical diseases: A multi-country study in Asia.

Li Ping Wong, Hai Yen Lee, Haridah Alias, Farhana Nishat Seheli, Abhishek Lachyan, Di Khanh Nguyen, Jamil Ahmed, Zhijian Hu, Yulan Lin

Abstract read
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Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Li Ping WongCentre for Population Health (CePH), Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Hai Yen LeeTropical Infectious Diseases Research and Educational Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Haridah AliasCentre for Population Health (CePH), Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Farhana Nishat SeheliTropical Infectious Diseases Research and Educational Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Abhishek LachyanDepartment of Obstetrics & Gynecology, VMMC & Safdarjung Hospital, New Delhi, India.
Di Khanh NguyenDepartment of Academic Affairs and Testing, Dong Nai Technology University, Dong Nai, Vietnam.
Jamil AhmedDepartment of Community Medicine, Rashid Latif Khan University (RLKU) Medical College, Lahore, Pakistan.
Zhijian HuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Yulan LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.ORCID 0000-0002-4208-9408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the willingness of individuals to be vaccinated against NTDs in Asian countries and China. Between June and December 2023, an anonymous cross-sectional survey was carried out in five Asian countries alongside China. Overall, 48.4% indicated being somewhat willing and 29.2% expressing extreme willingness to receive NTDs vaccination. High attitude scores (adjusted odds ratio [aOR] = 1.54, 95% confidence interval (CI): 11.35-1.75) was associated with higher willingness to be vaccinated against NTDs. The odds of accepting the NTDs vaccine increased among individuals without occupational exposure to NTDs (aOR = 1.46, 95% CI: 1.27-1.68). Those residing in very clean environments exhibited heightened odds of willingness (aOR = 2.94, 95% CI: 2.10-4.11), whereas individuals in somewhat dirty environments demonstrated reduced odds of willingness (aOR = 0.74, 95% CI: 0.56-0.98) compared to the baseline group (very dirty local environment). Moreover, a higher score in sanitation facilities also correlated with increased odds of willingness to receive the NTDs vaccine (aOR = 1.41, 95% CI: 1.21-1.64). The study highlighted key strategies for improving NTDs vaccine uptake in Asian countries, including China, such as fostering positive attitudes toward the vaccine and enhancing perception of infection risks.

Indexed as

Health Knowledge, Attitudes, PracticeNeglected DiseasesPatient Acceptance of Health CareVaccinationAdolescentAdultAsiaChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTropical MedicineVaccination HesitancyAcceptanceAsiacross-sectional studymulti-countryneglected tropical diseasesvaccination

Identifiers

PMID40050267
PMCPMC11901362

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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.