孟加拉国 Matlab 地区霍乱的时空聚类比较。

A comparison of spatial and social clustering of cholera in Matlab, Bangladesh.

机构信息

Department of Geography, University of North Carolina at Chapel Hill, CB 3220, Chapel Hill, NC 27599-3220, USA.

出版信息

Health Place. 2011 Mar;17(2):490-7. doi: 10.1016/j.healthplace.2010.12.004. Epub 2010 Dec 13.

Abstract

Infectious diseases often cluster spatially, but can also cluster socially because they are transmitted within social networks. This study compares spatial and social clustering of cholera in rural Bangladesh. Data include a spatially referenced longitudinal demographic database, which consists of approximately 200,000 people and laboratory-confirmed cholera cases from 1983 to 2003. Matrices are created of kinship ties between households using a complete network design and distance matrices are also created to model spatial relationships. Moran's I statistics are calculated to measure clustering within both social and spatial matrices. The results show that cholera always clusters in space and seldom within social networks. Cholera is transmitted mostly through the local environment rather than through person-to-person contact. Comparing spatial and social network analysis can help improve understanding of disease transmission.

摘要

传染病通常在空间上聚集,但也可能在社会上聚集,因为它们是在社交网络中传播的。本研究比较了孟加拉国农村地区霍乱的空间和社会聚集情况。数据包括一个具有空间参考的纵向人口统计数据库,该数据库由大约 20 万人和 1983 年至 2003 年期间实验室确认的霍乱病例组成。使用完整的网络设计创建了家庭之间亲属关系的矩阵,并且还创建了距离矩阵来模拟空间关系。计算了 Moran's I 统计量来衡量社会和空间矩阵内的聚类。结果表明,霍乱总是在空间上聚集,而很少在社交网络中聚集。霍乱主要通过当地环境传播,而不是通过人与人之间的接触传播。比较空间和社交网络分析可以帮助提高对疾病传播的理解。

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