title: Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach.
abstract: BACKGROUND
  Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks.
  
  
  METHODS
  The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951-2010.
  
  
  RESULTS
  Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments.
  
  
  CONCLUSIONS
  This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health.
authors: Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA. jiapengff@hotmail.com.
authors: Peng
authors: P
authors: Jia
authors: Department of Geosciences, East Tennessee State University, Johnson City, TN, USA. joynert@etsu.edu.
authors: Andrew
authors: A
authors: Joyner
mesh_terms: D000818:Animals; D000829:Animals, Domestic; D002006:Brucellosis / Q000453:epidemiology* / Q000209:etiology; D004196:Disease Outbreaks; D004777:Environment; D040362:Geographic Information Systems; D006801:Humans; D008954:Models, Biological; D008986:Mongolia / Q000453:epidemiology; D019371:Topography, Medical; D015047:Zoonoses / Q000453:epidemiology / Q000209:etiology
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