title: [Application of Rogerson spatial pattern surveillance in monitoring infectious diseases: parameter setting and choice of scales of analysis].
abstract: OBJECTIVE
  To set up appropriate parameters and scales of analysis for monitoring infectious diseases using Rogerson spatial pattern surveillance method.
  
  
  METHODS
  Hepatitis data in Henan provinces from 2006 to 2009 were tested using Rogerson spatial patterns surveillance method.
  
  
  RESULTS
  When the parameters were set with n0 = 12, K= 0.5, H = 7.17, r = 25 and analyzed at city level, 26 alarms were triggered. When the parameters were set with n0 = 4, K = 0.5, H = 8.26, r = 15 and analyzed at county level, 115 alarms were triggered.
  
  
  CONCLUSIONS
  K and a need to be set first, followed by n0 and r with adaptation to the anticipated numbers of alarm. Then, the parameters of ARL0, ARL1, and H can be calculated. For the surveillance of hepatitis A, county level analysis is more reasonable than city level.
authors.affiliation: Department of Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.
authors.forename: Yan-Li
authors.initials: YL
authors.lastname: Zhang
authors.forename: Yue
authors.initials: Y
authors.lastname: Ma
authors.forename: Wei-Zhong
authors.initials: WZ
authors.lastname: Yang
authors.forename: Zi-Jian
authors.initials: ZJ
authors.lastname: Feng
authors.forename: Xiao-Song
authors.initials: XS
authors.lastname: Li
mesh_terms: D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D003141:Communicable Diseases / Q000453:epidemiology*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006506:Hepatitis A / Q000453:epidemiology; D006801:Humans; D015233:Models, Statistical; D011159:Population Surveillance / Q000379:methods*