Kim Deok Ryun, Ali Mohammad, Thiem Vu Dinh, Park Jin-Kyung, von Seidlein Lorenz, Clemens John
International Vaccine Institute, SNU Research Park, San 4-8 Bongcheon-7 dong, Kwanak-gu, Seoul, Republic of Korea.
Health Place. 2008 Dec;14(4):755-67. doi: 10.1016/j.healthplace.2007.12.003. Epub 2007 Dec 28.
Geographic and ecological analysis may provide investigators useful ecological information for the control of shigellosis. This paper provides distribution of individual Shigella species in space, and ecological covariates for shigellosis in Nha Trang, Vietnam. Data on shigellosis in neighborhoods were used to identify ecological covariates. A Bayesian hierarchical model was used to obtain joint posterior distribution of model parameters and to construct smoothed risk maps for shigellosis. Neighborhoods with a high proportion of worshippers of traditional religion, close proximity to hospital, or close proximity to the river had increased risk for shigellosis. The ecological covariates associated with Shigella flexneri differed from the covariates for Shigella sonnei. In contrast the spatial distribution of the two species was similar. The disease maps can help identify high-risk areas of shigellosis that can be targeted for interventions. This approach may be useful for the selection of populations and the analysis of vaccine trials.
地理和生态分析可为研究人员提供有关控制志贺氏菌病的有用生态信息。本文提供了越南芽庄市志贺氏菌各菌种的空间分布以及志贺氏菌病的生态协变量。利用社区志贺氏菌病数据来确定生态协变量。采用贝叶斯分层模型获得模型参数的联合后验分布,并构建志贺氏菌病的平滑风险地图。传统宗教信徒比例高、靠近医院或靠近河流的社区,志贺氏菌病风险增加。与福氏志贺氏菌相关的生态协变量与宋内志贺氏菌的协变量不同。相比之下,这两个菌种的空间分布相似。疾病地图有助于识别志贺氏菌病的高风险区域,以便进行干预。这种方法可能有助于选择人群和分析疫苗试验。