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首页> 外文会议>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：省级省级趋势的省级风险地图大城府在泰国大城府排名流行病学监测疾病

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摘要

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：阿福塔省省位于泰国中部湄南河盆地。地形特征包括许多河流的平原，可能影响疾病传播。公共卫生研究人员在这方面做了几种流行病学调查。然而，使用地理信息技术没有任何研究。这些技术的应用，特别是GIS对流行病学研究会更好地了解疾病模式。利用公共卫生数据的统计和空间分析，发现了各地区流行病学监测疾病的发病率排名。人体生态学的三角模型用于鉴定与高发病率相关的主要因素。基于这些发现，在GIS平台上生成了相关的风险因素映射。最后，生成了流行病学监测疾病最高趋势排名的省级风险地图，提出了替代预防选择。

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