title: [Assessment on the ability of emergency response at the county center for disease control and prevention level in flooding-prone areas].
abstract: OBJECTIVE
  To establish a comprehensive assessment model on the ability of emergency response within the public health system in flooding-prone areas.
  
  
  METHODS
  A hierarchy process theory was used to establish the initial assessing framework. Delphi method was used to screen and choose the ultimate indicators and their weights before an assessment model was set up under the 'synthetic scored method' to assess the ability of the emergency response among twenty county public health units. We then used the 'analysis of variation (ANOVA)' methodology to test the feasibility of distinguishing the ability of emergency response among different county health units and correlation analysis was used to assess the independence of indicators in the assessing model.
  
  
  RESULTS
  A comprehensive model was then established including twenty first-class indicators and fifty-six second-class indicators and the degree of ability to emergency response with flooding of public health units was evaluated. There were five public health units having higher, ten having moderate but five with lower levels on emergency response. The assessment model was proved to be a good method in differentiating the ability of public health units, using independent indicators.
  
  
  CONCLUSIONS
  The assessment model which we established seemed to be practical and reliable.
authors.affiliation: National Center for Tuberculosis Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.forename: Guang
authors.initials: G
authors.lastname: Zeng
mesh_terms: D000704:Analysis of Variance; D002681:China; D003697:Delphi Technique; D004189:Disaster Planning / Q000458:organization & administration*; D004632:Emergency Medical Services / Q000458:organization & administration*; D005240:Feasibility Studies; D055868:Floods; D005843:Geography; D006801:Humans; D008962:Models, Theoretical; D011635:Public Health Administration; D015203:Reproducibility of Results