title: [The early warning system based on the prospective space-time permutation statistic].
abstract: OBJECTIVE
  To investigate the application of prospective permutation space-time scan statistic in the early detection of infectious disease outbreaks.
  
  
  METHODS
  The prospective permutation space-time scan statistic was tested by mimicking daily prospective analyses of measles data of Chengdu city in 2005.
  
  
  RESULTS
  The prospective space-time permutation scan statistic could timely detect the outbreaks that start locally.
  
  
  CONCLUSIONS
  The early warning system based on prospective space-time permutation scan statistic and geographical information system could work efficiently.
authors.affiliation: West China School of Public Health, Sichuan University, Chengdu 610041, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Yin
authors.forename: Xiaosong
authors.initials: X
authors.lastname: Li
authors.forename: Jiaqi
authors.initials: J
authors.lastname: Ma
authors.forename: Zijian
authors.initials: Z
authors.lastname: Feng
mesh_terms: D002681:China / Q000453:epidemiology; D003140:Communicable Disease Control / Q000379:methods*; D003141:Communicable Diseases / Q000453:epidemiology; D003627:Data Interpretation, Statistical; D004196:Disease Outbreaks; D040362:Geographic Information Systems; D006801:Humans; D015233:Models, Statistical; D011159:Population Surveillance / Q000379:methods*; D011446:Prospective Studies