title: [Application of spatial relative risk estimation in communicable disease risk evaluation].
abstract: This paper summaries the application of adaptive kernel density algorithm in the spatial relative risk estimation of communicable diseases by using the reported data of infectious diarrhea (other than cholera, dysentery, typhoid and paratyphoid) in Ludian county and surrounding area in Yunnan province in 2013. Statistically significant fluctuations in an estimated risk function were identified through the use of asymptotic tolerance contours, and finally these data were visualized though disease mapping. The results of spatial relative risk estimation and disease mapping showed that high risk areas were in southeastern Shaoyang next to Ludian. Therefore, the spatial relative risk estimation of disease by using adaptive kernel density algorithm and disease mapping technique is a powerful method in identifying high risk population and areas.
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Yewu
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Guo
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Wang
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Meng
authors.initials: M
authors.lastname: Yu
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Xuemei
authors.initials: X
authors.lastname: Su
authors.affiliation: Department of Information, Xinjiang Uygur Autonomous Regions Center for Disease Control and Prevention.
authors.forename: Yan
authors.initials: Y
authors.lastname: Dong
authors.affiliation: Center for Disease Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Email: zhangcx@chinacdc.cn.
authors.forename: Chunxi
authors.initials: C
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D002681:China / Q000453:epidemiology; D003141:Communicable Diseases / Q000453:epidemiology*; D004403:Dysentery / Q000453:epidemiology*; D006801:Humans; D015203:Reproducibility of Results; D012306:Risk; D018570:Risk Assessment / Q000379:methods; D062206:Spatial Analysis