伊朗的甲型肝炎慢性免疫:基于地理信息系统的研究

IF 0.3 4区 医学 Q4 GASTROENTEROLOGY & HEPATOLOGY
K. Bagheri Lankarani, B. Honarvar, Ali Davoodi, Naeimehossadat Asmarian, M. Serati, Mohsen Ali Akbarpour, Erfan Sadeghi, Touba Narimani Moghadam, Hossein Molavi Vardanjani
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Methods: The study included a total of 3255 individuals who tested positive for anti-hepatitis A virus (anti-HAV) immunoglobulin G (IgG). This study analyzed factors such as place of residence, marital status, age, and gender to explore possible relationships. Univariate and multivariable analyses were conducted to identify independently associated factors for HA. A locally weighted scatterplot smoothing (LOWESS) multivariate model was developed using a backward stepwise approach. Geographical variations in the prevalence of HA chronic immunity in the general population of Iran were assessed to understand spatial effects and risk factors. A Bayesian spatial model was employed to identify the spatial pattern of HA chronic immunity prevalence, using OpenBUGS version 3.2.3. 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引用次数: 0

摘要

背景:对甲型肝炎(HA)的慢性免疫在很大程度上受到环境因素的影响,如社会经济指标、公共卫生条件和获得安全饮用水。在过去二十年中,伊朗的社会经济地位得到改善,城市化进程加快,卫生教育得到加强,获得安全饮用水源的机会增加,公共卫生条件改善。然而,这些变化在伊朗所有地区并不一致,预计流行病学情况会有所不同。目的:本研究旨在利用地理信息系统(GIS)制图描绘伊朗不同地区的HA慢性免疫模式。方法:本研究共纳入3255例抗甲型肝炎病毒(anti-HAV)免疫球蛋白G (IgG)阳性的个体。本研究分析了居住地、婚姻状况、年龄和性别等因素,以探讨可能的关系。进行了单变量和多变量分析,以确定HA的独立相关因素。采用后向逐步方法建立了局部加权散点图平滑(LOWESS)多元模型。评估了伊朗普通人群中HA慢性免疫患病率的地理差异,以了解空间影响和风险因素。采用贝叶斯空间模型,利用OpenBUGS 3.2.3版本识别HA慢性免疫患病率的空间格局。结果:轻度半干燥气候(aPR = 2.37, 95%可信区间[CI] = 2.30 ~ 3.33, P< 0.001)、中度半干燥气候(aPR = 1.37, 95% CI = 1.14 ~ 1.63, P< 0.001)、干燥气候(aPR = 1.13, 95% CI = 0.9 ~ 1.4)、超干燥气候(aPR = 1.79, 95% CI = 1.05 ~ 2.98, P = 0.033)地区的HAV免疫患病率高于半湿润气候。其他变量与血凝素慢性免疫无显著关系。地理信息系统分析图显示,伊朗各省省会城市对HA的免疫力普遍较低。然而,伊朗的大多数中部地区表现出中等地方性;然而,在边境地区和沿海地区,特别是在该国北部,观察到对HA的较高免疫力。结论:受该国气候多样性的影响,伊朗不同地区甲型肝炎流行模式不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hepatitis A Chronic Immunity in Iran: A Geographic Information System-Based Study
Background: Chronic immunity to hepatitis A (HA) is largely influenced by environmental factors, such as socioeconomic indicators, public health conditions, and access to safe water. In the past two decades, Iran has witnessed improvements in socioeconomic status, increased urbanization, enhanced health education, improved access to safe drinking water sources, and better public health conditions. However, these changes have not been uniform across all regions of Iran, and varying epidemiological situations are expected. Objectives: This study aimed to delineate the pattern of HA chronic immunity across different regions of Iran using geographical information system (GIS) mapping. Methods: The study included a total of 3255 individuals who tested positive for anti-hepatitis A virus (anti-HAV) immunoglobulin G (IgG). This study analyzed factors such as place of residence, marital status, age, and gender to explore possible relationships. Univariate and multivariable analyses were conducted to identify independently associated factors for HA. A locally weighted scatterplot smoothing (LOWESS) multivariate model was developed using a backward stepwise approach. Geographical variations in the prevalence of HA chronic immunity in the general population of Iran were assessed to understand spatial effects and risk factors. A Bayesian spatial model was employed to identify the spatial pattern of HA chronic immunity prevalence, using OpenBUGS version 3.2.3. Results: The prevalence of HAV immunity was higher in regions with mild semi-dry climates (aPR = 2.37, 95% confidence interval [CI] = 2.30 - 3.33, P< 0.001), medium semi-dry climates (aPR = 1.37, 95% CI = 1.14 - 1.63, P< 0.001), dry climates (aPR = 1.13, 95% CI = 0.9 - 1.4), and ultra-dry climates (aPR = 1.79, 95% CI = 1.05 - 2.98, P = 0.033), compared to semi-humid climates. Other variables did not exhibit a significant relationship with HA chronic immunity. The GIS analysis map revealed that immunity to HA was generally lower in the capital cities of Iran’s provinces. However, most central regions of Iran exhibit medium endemicity; nevertheless, higher immunity to HA was observed in border areas and coastal regions, particularly in the northern part of the country. Conclusions: Different regions of Iran display distinct patterns of HAV endemicity, influenced by the country’s climatic diversity.
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来源期刊
Hepatitis Monthly
Hepatitis Monthly 医学-胃肠肝病学
CiteScore
1.50
自引率
0.00%
发文量
31
审稿时长
3 months
期刊介绍: Hepatitis Monthly is a clinical journal which is informative to all practitioners like gastroenterologists, hepatologists and infectious disease specialists and internists. This authoritative clinical journal was founded by Professor Seyed-Moayed Alavian in 2002. The Journal context is devoted to the particular compilation of the latest worldwide and interdisciplinary approach and findings including original manuscripts, meta-analyses and reviews, health economic papers, debates and consensus statements of the clinical relevance of hepatological field especially liver diseases. In addition, consensus evidential reports not only highlight the new observations, original research, and results accompanied by innovative treatments and all the other relevant topics but also include highlighting disease mechanisms or important clinical observations and letters on articles published in the journal.
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