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

被引:0
|
作者
Daud, Mohd Rujhan Hadfi Mat
Yaacob, Nor Azwany [1 ]
Arifin, Wan Nor
Sani, Jamiatul Aida Md
Ibadullah, Wan Abdul Hannan Wan
机构
[1] Univ Sains Malaysia, Sch Med Sci, Dept Community Med, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
关键词
Measles; Multilevel analysis; Risk factor; RISK-FACTORS; SUSCEPTIBILITY; OUTBREAK; IMMUNITY; PROFILE; ACCESS; IMPACT; CHINA; MUMPS;
D O I
10.24171/j.phrp.2024.0156
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives: Despite 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. Methods: This 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 mu m (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles 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. Conclusion: This 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.
引用
收藏
页码:429 / 439
页数:11
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