Use of Environmental Parameters to Model Pathogenic Vibrios in Chesapeake Bay
作者: E. A. Urquhart B. F. Zaitchik S. D. Guikema B. J. Haley E. Taviani A. Chen M. E. Brown A. Huq R. R. Colwell
刊名: Journal of Environmental Informatics, 2015, Vol.26 (1)
来源数据库: International Society for Environmental Information Science
DOI: 10.3808/jei.201500307
关键词: quantitative colony bot hybridizationhybrid modelingclassificationregressiongeneralized additive modelrandom forest model
原始语种摘要: Annual reports show that human infections caused by Vibrio spp. have nearly doubled over the past decade in the Virginia and Maryland waters of the Chesapeake Bay. Vibrio spp. are autochthonous to estuarine and coastal waters and follow a seasonal cycle attributed mainly to fluctuations in water temperature and salinity. This study presents the development of empirical algorithms for predicting the probability of Vibrio vulnificus and Vibrio parahaemolyticus likelihood and abundance in the upper Chesapeake Bay. To model likelihood of occurrence, a set of binary classification models was developed, employing a suite of geophysical predictor variables and statistical methods. Accuracy of results was ~ 68% at 0.40 prediction for V. vulnificus and ~70% at 0.60 prediction for V....
全文获取路径: PDF下载  ISEIS  (合作)

  • abundance 丰度
  • predicted 预先计算的
  • attributed 属性
  • hybrid 杂种
  • pathogenicity 病原性
  • cells 麻风细胞
  • prediction 预报
  • absence 缺席
  • nearly 大约
  • significantly 较大地