基于空间自相关分析的北京市甲型H1N1流感流行特征研究

目的 探讨2009年北京市甲型H1N1流感发病的地理区域相关性和聚集性,为今后传染病发病的空间自相关性分析提供参考依据.方法 利用OpenGeoDa 1.0.1软件进行空间全局和局部自相关性分析,呈现2009年甲型H1N1流感空间聚集区域.结果 2009年北京市甲型H1N1流感发病分布不是随机的,呈现显著的空间聚集,即...

Study on the epidemiologic characteristics of influenza A ( H1N1 ) 2009 based on spatial autocorrelation analysis in Beijing

Objective To examine the spatial distribution and cluster of H1N1 influenza 2009 in Beijing,and to provide evidence for spatial autocorrelation of disease in future.Methods OpenGeoDa 1.0.1 software was used to conduct global spatial autocorrelation and local spatial autocorrelation,and in?uenza A( H1N1 ) 2009 clusters were showed by ArcGIS8.3 software.Results The distribution of in? uenza A (H1N1) 2009 cases is not random,with a significant spatial aggregation.The locations of high incidence are adjacent to high incidence areas,the low incidence are adjacent to low incidence areas.The correlation between H1N1 positive case and different locations are significant,with a Moran' s I of 0.3685,P =0.001.Some sub-districts of Fengtai and Haidian county have high incidence and high-risk to spread of H1N1 influenza 2008.Some areas of Miyun and Pinggu county are low incidence areas.Conclusions Exploring the correlation between cases and different locations in spatial autocorrelation analysis are helpful to understand the distribution and the spread trend of infectious disease.