title: [Spatial temporal distribution of mumps in Gansu, 2009-2013].
abstract: OBJECTIVE
  To detect the spatial temporal distribution of mumps in Gansu by means of spatial statistics.
  
  
  METHODS
  The county-based incidence of mumps from 2009 to 2013 was used to calculate the global Moran's I and local G statistics, and analyze its spatial temporal distribution characteristics.
  
  
  RESULTS
  The incidence of mumps in Gansu were spatial auto-correlated from 2009 to 2013 respectively (P<0.001), and the hot spots were mainly distributed in Hexi area, while the cold spots were distributed in Tianshui, Longnan and Qingyang. Spatial temporal analysis showed that the high incidence of mumps was most likely to be detect in Hexi area (RR=3.05, LLR=4 670.995, P<0.001), and the low incidence was most likely to be detect in Longdong area (RR=0.36, LLR=1 980.686, P<0.001).
  
  
  CONCLUSIONS
  The spatial and spatial temporal clustering of mumps existed in Gansu from 2009 to 2013, the results can be used in the development of mumps prevention and control measure in Gansu.
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
authors: Dongpeng
authors: D
authors: Liu
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
authors: Lei
authors: L
authors: Meng
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
authors: Faxiang
authors: F
authors: Gou
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
authors: Kongfu
authors: K
authors: Wei
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
authors: Xiaoting
authors: X
authors: Yang
authors: Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China; Email: liuxf606@126.com.
authors: Xinfeng
authors: X
authors: Liu
mesh_terms: D002681:China / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D009107:Mumps / Q000453:epidemiology*; D062211:Spatio-Temporal Analysis