| 伍劲屹,周艺彪,姜庆五.空间回归模型在公共卫生中的应用[J].Chinese journal of Epidemiology,2013,34(11):1151-1153 |
| 空间回归模型在公共卫生中的应用 |
| Application of spatial regression model in public health |
| Received:June 23, 2013 |
| DOI：10.3760/cma.j.issn.0254-6450.2013.011.024 |
| KeyWord: 空间回归模型 公共卫生 空间自相关 |
| English Key Word: Spatial regression mode Public health autocorrelation |
| FundProject:国家自然科学基金(30872159);国家科技重大专项(2012ZX10004-220) |
| Author Name | Affiliation | E-mail | | WU Jin-yi | Department of Epidemiology,School of Public Health, Fadan University, KeyLaboratory Public Health Safety, Ministry of Education,Research Center on Tropical Disease, Fudan University,Shanghai 200032, China | | | ZHOU Yi-biao | Department of Epidemiology,School of Public Health, Fadan University, KeyLaboratory Public Health Safety, Ministry of Education,Research Center on Tropical Disease, Fudan University,Shanghai 200032, China | ybzhou@fudan.edu.cn | | JIANG Qing-wu | Department of Epidemiology,School of Public Health, Fadan University, KeyLaboratory Public Health Safety, Ministry of Education,Research Center on Tropical Disease, Fudan University,Shanghai 200032, China | |
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| Abstract: |
| 随着地理信息系统(GIS )、全球定位系统(GPS )、遥感系统(RS)即3S体系的发展，空间数据呈爆炸式增长，而科研人员也更容易从网络上获得信息[1]。据统计80%的流行病学资料具有空间属性[2]，且有空间自相关性质，采用传统的统计学分析方法并不符合其对数据独立性的要求，但空间回归模型不要求数据独立，可以利用数据的空间属性。在用于传染病分析时，可考虑疾病的聚集性和扩散性，并可说明各因素间的关系。 |
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