2000 年至 2019 年巴西与艾滋病毒/艾滋病相关的时间分析和背景因素

Denise Eliziana de Souza, C. D. do Carmo, James R. Welch
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引用次数: 0

摘要

摘要 目的:描述巴西艾滋病毒/艾滋病流行病的概况及其按性别划分的联邦单位,确定其相关背景因素,并跟踪 2000 年至 2019 年流行病学模式的变化。方法:这是一项生态学研究,流行病学数据来自 DATASUS,人口数据来自巴西地理和统计研究所。通过连接点回归对不同性别的发病率和趋势进行时间序列分析,得出年均百分比变化(AAPC)。然后,对所有性别的 AAPC 与以下环境指标之间的关联进行了分析:城市人类发展指数(HDI-M)、基尼系数、社会脆弱性指数、文盲率、晚期诊断比例和检测分布比例。结果:男性发病率呈线性下降趋势(AAPC = -0.6;95%CI -1.1至0.0)。女性发病率从 2000 年到 2009 年有所上升,从 2010 年到 2019 年有所下降,整个期间呈上升趋势(AAPC = 1.4;95%CI 0.8 至 1.9)。按性别比例进行的分析显示出下降趋势(AAPC = -1.8; 95%CI-2.3至-1.3),表明与女性相比,男性的发病率有所下降。在所有性别中,各项指标与 AAPC 均呈反向关联,其中人类发展指数-M 是关联最明显的变量,这表明人类发展指数越高,艾滋病毒/艾滋病感染率的变化越小。结论:病例分布因性别而异,女性的发病率呈上升趋势,可能与性别相关的脆弱性有关。必须考虑到这些方面的公共政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal analysis and contextual factors associated with HIV/AIDS in Brazil from 2000 to 2019
ABSTRACT OBJECTIVE: To describe the profile of the HIV/AIDS epidemic in Brazil and its Federation Units by gender, identify its associated contextual factors, and track changes in its epidemiological pattern from 2000 to 2019. METHODS: This is an ecological study with epidemiological data from DATASUS and population data from the Brazilian Institute of Geography and Statistics. Time-series analyses of incidence rates by gender and trends were performed by joinpoint regressions, obtaining the average annual percent change (AAPC). Then, all genders were analyzed regarding the association between AAPC and the following contextual indicators: Municipal Human Development Index (HDI-M), Gini Index, Social Vulnerability Index, illiteracy rates, proportion of late diagnosis, and proportion of test distribution. RESULTS: Incidence rates in men showed a linear decreasing trend (AAPC = −0.6; 95%CI −1.1 to 0.0). Rates in women increased from 2000 to 2009 and decreased from 2010 to 2019, tending upward throughout the period (AAPC = 1.4; 95%CI 0.8 to 1.9). Analyses by gender ratio showed a downward trend (AAPC = −1.8; 95%CI −2.3 to −1.3), indicating a reduction in the rates in men when compared to women. Indicators and the AAPC showed an inverse association for all genders, in which the HDI-M was the variable with the most pronounced association, showing that higher human development indices are associated with lower variations in HIV/AIDS rates. CONCLUSION: Case distribution differ across genders, with an upward incidence trend in women and a possible association with gender-related vulnerabilities. It is important to think about public policies that consider these dimensions.
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