title: Spatial dynamics of an epidemic of severe acute respiratory syndrome in an urban area.
abstract: OBJECTIVE
  To map risk of exposure to severe acute respiratory syndrome (SARS) in an urban area and assess the ability of traditional interventions to control dispersion of the disease.
  
  
  METHODS
  Data on the Beijing SARS epidemic were used to map spatial clusters of identified contacts and to estimate transmission of SARS using a model with a time-dependent transmission rate.
  
  
  RESULTS
  The estimated transmission rate decreased dramatically from 20 to 30 April 2003. The total number of cases in the epidemic in Beijing was estimated to be 2521. Hierarchical clustering revealed that risk-exposures were widespread, but clustered in a pattern that is distinctly related to the Beijing urban ring roads.
  
  
  CONCLUSIONS
  Traditional control measures can be very effective at reducing transmission of SARS. Spatial patterns of risk-exposures can inform disease surveillance, prediction and control by identifying spatial target areas on which interventions should be focused.
authors.affiliation: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Anwai, Beijing, China. wangjf@igsnrr.ac.cn
authors.forename: Jinfeng
authors.initials: J
authors.lastname: Wang
authors.forename: Anthony J
authors.initials: AJ
authors.lastname: McMichael
authors.forename: Bin
authors.initials: B
authors.lastname: Meng
authors.forename: Niels G
authors.initials: NG
authors.lastname: Becker
authors.forename: Weiguo
authors.initials: W
authors.lastname: Han
authors.forename: Kathryn
authors.initials: K
authors.lastname: Glass
authors.forename: Jilei
authors.initials: J
authors.lastname: Wu
authors.forename: Xuhua
authors.initials: X
authors.lastname: Liu
authors.forename: Jiyuan
authors.initials: J
authors.lastname: Liu
authors.forename: Xiaowen
authors.initials: X
authors.lastname: Li
authors.forename: Xiaoying
authors.initials: X
authors.lastname: Zheng
mesh_terms: D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D016021:Epidemiologic Studies; D006801:Humans; D015233:Models, Statistical; D045169:Severe Acute Respiratory Syndrome / Q000453:epidemiology* / Q000635:transmission; D014505:Urban Population / Q000706:statistics & numerical data*