影响巴西内陆新近出现的城市地区内脏利什曼病空间分布的因素

Simão José Cláudio, Victória Cassiano, Fortaleza Carlos Magno Castelo Branco
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引用次数: 0

摘要

在过去的二十年里,内脏利什曼病在巴西最近的紧急地区的扩张可以通过空间分析来理解。方法:研究2003 - 2016年巴西保鲁市普通VL和VL- hiv合并感染的空间分布。使用人口、社会经济和城市基础设施预测指标,对这些案例进行了地理参考,并归因于人口普查部门。用单因素和多因素一步泊松回归模型分析了这些部门的发病率。结果:左室和左室hiv累积发病率(每10万居民)。这一时期分别为131.1和19.7。在单变量分析中,VL和VL- hiv合并感染的空间分布与人均收入、人口密度、人行道铺装和街道比例以及雨水排水呈负相关。在多变量模型中,VL的发生率与人均收入呈负相关(事出率比[IRR], 0.89;95%置信区间[CI], 0.860.92)和人口密度(IRR, 94;95% CI, 0.90-0.97),而合并感染与人均收入呈负相关(IRR, 0.80;95% CI, 0.71-0.91)和有雨水排放的街道比例(TIR, 0.87;95% ci, 0.78-0.98)。结论:人口、社会经济和基础设施的缺陷可能影响发展中国家城市地区VL的出现模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting the Spatial Distribution of Visceral Leishmaniasis in an Urban Area of Recent Emergence in Inner Brazil
Introduction: The expansion of Visceral Leishmaniasis in areas of recent emergency in the last two decades in Brazil can be understood by spatial analysis. Methodology: Study of the spatial distribution of general VL and VL-HIV coinfection in the city of Bauru SP, Brazil between 2003 to 2016. The cases were georeferenced and attributed to the Census sectors using demographic, socioeconomic and urban infrastructure predictors. The incidence in these sectors was analyzed in univariate and multivariate one-step Poisson regression models. Results: The cumulative incidence rates of LV and LVHIV (per 100,000 inhab.) In this period were 131.1 and 19.7, respectively. In the univariate analysis, the spatial distribution of VL and VL-HIV co-infection was negatively associated with per capita income, population density, paving and proportion of streets in sidewalks and rain drainage. In multivariable models, the incidence of VL was negatively associated with per capita income (Incident Rate Ratio [IRR], 0.89; 95% confidence interval [CI], 0.860.92) and population density (IRR, 94; 95% CI, 0.90-0.97), while co-infection was negatively associated with per capita income (IRR, 0.80; 95% CI, 0.71-0.91) and proportion of streets with rain drainage (TIR, 0.87; 95% CI, 0.78-0.98). Conclusion: Demographic, socioeconomic and infrastructure deficits can influence the emergence patterns of VL in urban areas in developing countries.
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