Evidence map›Paper›PMID 39164020›Full record

ArticleOsong public health and research perspectives2024

Individual and contextual factors associated with measles infection in Malaysia: a multilevel analysis.

Mohd Rujhan Hadfi Mat Daud, Nor Azwany Yaacob, Wan Nor Arifin, Jamiatul Aida Md Sani, Wan Abdul Hannan Wan Ibadullah

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Article in Osong public health and research perspectives, 2024. 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

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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

5 authors.

Mohd Rujhan Hadfi Mat DaudDepartment of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Nor Azwany YaacobDepartment of Community Medicine, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Wan Nor ArifinBiostatistics and Research Methodology Unit, School of Medical Science, Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Jamiatul Aida Md SaniDisease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia.
Wan Abdul Hannan Wan IbadullahDisease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions.

methodsThis cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk.

resultsMeasles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02-1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42- 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07-2.69), travel history (aOR, 2.30; 95% CI, 1.13-4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72-0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16- 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97-0.99) were significant determinants.

conclusionThis multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Indexed as

MeaslesMultilevel analysisRisk factor

Identifiers

PMID39164020
PMCPMC11563724

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LicenceCC BY-NC-ND
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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.