[1] Ma Fen, Wang Li, Li Hui. Study advance on the alert methods of infectious disease. Health Research, 2008, 37(2):249-251. [马芬, 王丽, 李辉. 传染病预警方法研究进展. 卫生研究, 2008, 37(2): 249-251.] [2] Jin Lianmei, Yang Weizhong Status analysis of early warning of infectious disease in China Chinese. Journal of PublicHealth. 2008, 7(24): 845-846. [金连梅, 杨维中. 我国传染病预警工作研究现况分析. 中国公共卫生, 2008, 7(24):845-846.] [3] Stroup D F, Williamson G D, Herndon J L et al. Detection of aberrations in the occurrence of notifiable diseasessurveillance data. Statistics in Medicine, 1989, 8: 323-239. [4] Stern L, Lightfoot D. Automated outbreak detection: A quantitative retrospective analysis. Epidemiology and Infection,1999, 122: 103-110. [5] Reis B Y, Mandl K D. Time series modeling for syndromic surveillance. BMC Medical Informatics and DecisionMaking, 2003, 3: 1-11. [6] Yang Weizhong, Xing Huixian, Wang Hanzhang et al. A study on early detection for seven infectious diseases. ChineseJournal of Epidemiology, 2004, 25(12): 1039-1041. [杨维中, 邢慧娴, 王汉章等. 七种传染病控制图法预警技术研究.中华流行病学杂志, 2004, 25(12): 1039-1041.] [7] Yin Fei. A study on the applicability of space-time scan statistics in early warning of infectious disease [D]. Chengdu:Sichuan University, 2007. [殷菲. 时—空扫描统计量在传染病早期预警中的应用研究[D]. 成都: 四川大学, 2007.] [8] Lawson A B, Kleinman K. Spatial and Syndromic Surveillance for Public Health. New York: Wiley, 2005: 3-4. [9] Lawson A, Clark A B, Vidal-Rodeiro C L. Developments in general and syndromic surveillance for small area healthdata. Journal of Applied Statistics (Special Issue), 2004, 31: 951-966. [10] Waller L A, Gotway C A. Applied Spatial Statistics for Public Health Data. New York: Wiley, 2004. [11] Besag J, Newell J. The detection of clusters in rare diseases. Journal of the Royal Statistical Society: Series A, 1991,154: 143-155. [12] Kurdorff M. Statistical methods for spatial epidemiology: Tests for randomness//Loytonen M, Gatrell A. GIS andHealth. London: Taylor & Francis, 1998: 49-62. [13] Tango T. Comparison of general tests for spatial clustering//Lawson et al. Disease Mapping and Risk Assessment forPublic Health. London: Wiley, 1999: 111-117. [14] Lober W B, Karras B T, Wagner M M et al. Roundtable on bioterrorism detection: Information system-basedsurveillance. Journal of American Medical Informatics Association, 2002, 9: 105-115. [15] Moore A, Cooper G, Tsui R. Summary of biosurveillance relevant statistical and data mining technologies. Center ofBiomedical Informatics University of Pittsburgh, 2002 [16] Kulldorff M. Syndromic surveillance without denominator data: the space-time permutation scan statistic for diseaseoutbreak detection. PloS Medicine, 2005, 2: 216-224. [17] Norstrom M, Pfeiffer D U, Jarp J. A space-time cluster investigation of an outbreak of acute respiratory disease inNorwegian cattle herds. Preventative Veterinary Medicine, 2000, 47: 107-119. [18] Liao Y L. A study on early warning of infectious diseases and health economic evaluation of infectious diseasecontrol: Case study on measles [D]. Beijing Graduate University of Chinese Academy of Sciences, 2009. [廖一兰. 传染病早期预警技术及防控策略卫生经济学评价: 以麻疹为例[D]. 北京: 中国科学院研究生院, 2009.] [19] Yang Yan. A study for ant-based clustering combination algorithm [D]. Chongqing: Southwest Jiaotong University,2006. [杨燕. 基于计算智能的聚类组合算法研究[D]. 重庆: 西南交通大学, 2006.]. [20] Yang Yan, Jin Pan, Kamel M. Clustering combination based on ant colony algorithm. Journal of the China RailwaySociety, 2004, 26(4): 64-68. [杨燕, 靳蕃, Kamel M. 一种基于蚁群算法的聚类组合方法. 铁道学报, 2004, 26(4):64-68.] [21] Neill D B, Moore A W. Anomalous spatial cluster detection//Proc. KDD 2005 Workshop on Data Mining Methods forAnomaly Detection, 2005: 41-44. [22] Neill D B, Moore AW. Efficient scan statistics computations//Lawson A, Kleinman K. Spatial and SyndromicSurveillance for Public Health. Chichester: Wiley, 2005. [23] Neill D B. Detection of spatial and spatio-temporal clusters [D]. Carnegie Mellon University, 2006. |