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首页> 外文会议>IEEE International Conference on Application of Information and Communication Technologies >Evaluation of spatial brucellosis distribution using the Geographic Information System: Towards building a high performance spatial epidemiology system for supervision on zoonotic infections
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Evaluation of spatial brucellosis distribution using the Geographic Information System: Towards building a high performance spatial epidemiology system for supervision on zoonotic infections

机译：使用地理信息系统评估空间布鲁氏菌病分布：致力于构建高性能的空间流行病学系统来监督人畜共患病感染

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Brucellosis, a bacterial zoonosis, remains a public health threat worldwide, particularly in Kazakhstan and Central Asia. The disease can manifest in a variety of forms, from asymptomatic to severe organic forms. The republic is still included into ten countries with the highest incidence levels for the first time diagnosed human brucellosis, which emphasizes the magnitude of the problem. This study was conducted using Geographic Information System (GIS) techniques, in order to evaluate the spatial distribution of the disease in the rural area of Almaty and Zhambyl oblasts (provinces). The spatial distribution of Brucella melitensis biovars was studied for 2011-2013 (continuous sampling), as well as the incidence rate of the first time diagnosed human brucellosis and the prevalence of this infection in livestock, per long-time annual average values. For the data visualization we use free software, QuantumGIS of versions 1.8.0 (Lisboa) and 2.0.1 (Dufour). A GIS-based spatial analysis was carried out to identify geographic distribution patterns of brucellosis infection in humans and animals. Local Moran's I statistic was employed using GeoDa software to evaluate cluster analysis. Incidence rates were empirically Bayes smoothed for human, cattle, and a combined sheep/goat group. Results of the spatial autocorrelation analysis for 2007-2013 showed high incidence rates for humans and animals were geographically clustered in the southwest region, where human clusters decreased in later years. While this may reflect an improving human disease situation or only annual reporting differences, these results suggest that human and animal incidence is closely associated. The use of spatial autocorrelation proved a great benefit for better visualization of the endemic, especially in elucidating the actual distribution of brucellosis cases in the rayons (districts) and providing an effective tool for planning the monitoring of the disease at a local level.
机译：布鲁氏菌病是一种细菌性人畜共患病，仍然是全世界的公共健康威胁，特别是在哈萨克斯坦和中亚。该疾病可以以多种形式表现，从无症状到严重的器质性形式。该共和国仍被首次诊断为人类布鲁氏菌病的国家包括在发病率最高的十个国家中，这凸显了问题的严重性。这项研究是使用地理信息系统（GIS）技术进行的，目的是评估该疾病在阿拉木图州和扎姆比勒州（省）农村地区的空间分布。根据长期年平均值，研究了2011-2013年连续进行的布鲁氏菌生物变种的空间分布，以及首次确诊的人类布鲁氏菌病的发病率和这种感染在牲畜中的流行。对于数据可视化，我们使用免费软件QuantumGIS，版本为1.8.0（Lisboa）和2.0.1（Dufour）。进行了基于GIS的空间分析，以确定人和动物布鲁氏菌病感染的地理分布模式。使用GeoDa软件使用局部Moran的I统计量来评估聚类分析。根据经验，对人，牛和绵羊/山羊组合的贝叶斯发病率进行了平滑处理。 2007-2013年空间自相关分析的结果表明，人类和动物的高发病率在西南地区在地理上成簇，而在后来的年份中人的成群数减少了。尽管这可能反映了人类疾病状况的改善或仅是年度报告差异，但这些结果表明人与动物的发病率密切相关。空间自相关的使用为更好地可视化地方病证明了极大的好处，特别是阐明了人造丝（区）中布鲁氏菌病病例的实际分布，并为规划本地疾病监测提供了有效的工具。

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