首页> 外文会议>Proceedings of the 22nd Asian Conference on Remote Sensing >PROVINCIAL RISK MAPS FOR HIGHEST TENDENCY RANKING EPIDEMIOLOGICAL SURVEILLANCE DISEASES IN AYUTTHAYA PROVINCE, THAILAND
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PROVINCIAL RISK MAPS FOR HIGHEST TENDENCY RANKING EPIDEMIOLOGICAL SURVEILLANCE DISEASES IN AYUTTHAYA PROVINCE, THAILAND

机译:泰国大城府最高流行率流行病学监测疾病的省级风险图

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Ayutthaya province is located in the Chao Phraya basin, central part of Thailand. The topographical features include mostly plains drained by many rivers, which may affect disease spread. Public health researchers did several epidemiological surveys in this area. However there are no study using geo-informatic technologies. The application of these technologies, particularly GIS to epidemiological research would produce a better understanding of the disease pattern. Incidence ranking of epidemiological surveillance diseases across the districts was found using statistical and spatial analysis of the public health data. The triangular model of human ecology was used to identify main factors, associated with the high incidence diseases. Based on those finding, associated risk factor maps were generated on a GIS platform. Finally, the provincial risk maps for highest tendency ranking of epidemiological surveillance diseases were generated, and alternative prevention options were proposed.
机译:大城府位于泰国中部的湄南河流域。地形特征包括许多河流流失的平原,这可能会影响疾病的传播。公共卫生研究人员在这一领域进行了几次流行病学调查。但是,尚无使用地理信息技术的研究。这些技术,特别是GIS在流行病学研究中的应用将使人们对疾病的模式有更好的了解。通过对公共卫生数据的统计和空间分析,发现了各地区的流行病学监测疾病的发病率排名。使用人类生态学的三角模型来确定与高发疾病有关的主要因素。基于这些发现,在GIS平台上生成了相关的风险因素图。最后,绘制了流行病学监测疾病最高趋势排名的省级风险图,并提出了其他预防措施。

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