中国媒介生物学及控制杂志 ›› 2019, Vol. 30 ›› Issue (1): 43-46.DOI: 10.11853/j.issn.1003.8280.2019.01.009

• 论著 • 上一篇    下一篇

利用规则集遗传算法生态位模型预测秃病蚤蒙冀亚种适宜分布

闫东, 史献明, 杜国义, 刘冠纯, 崔耀仁, 陈永明, 康东梅, 兰晓宇, 任兴宇, 候芝林   

  1. 河北省鼠疫防治所流行病科, 河北 张家口 075000
  • 收稿日期:2018-09-05 出版日期:2019-02-20 发布日期:2019-02-20
  • 作者简介:闫东,男,副主任医师,从事鼠疫流行病学研究工作,Email:yandong0000@126.com
  • 基金资助:
    国家重点研发计划(2016YFC1201304),河北省医学科学研究重点课题(20180955)

Prediction of the suitable distribution area for Nosopsyllus laeviceps kuzenkovi by the genetic algorithm for rule-set prediction ecological niche model

YAN Dong, SHI Xian-ming, DU Guo-yi, LIU Guan-chun, CUI Yao-ren, CHEN Yong-ming, KANG Dong-mei, LAN Xiao-yu, REN Xing-yu, HOU Zhi-lin   

  1. Anti-plague Institute of Hebei Province, Zhangjiakou 075000, Hebei Province, China
  • Received:2018-09-05 Online:2019-02-20 Published:2019-02-20
  • Supported by:
    Supported by the National Major Research and Development Plan (No. 2016YFC1201304) and Key Medical Projects of Hebei Province (No. 20180955)

摘要: 目的 通过对气候环境因素与秃病蚤蒙冀亚种空间分布的相关性研究,有效预测秃病蚤蒙冀亚种的适宜分布区,为动物间鼠疫防控提供科学依据。方法 2005-2014年鼠疫常规监测鼠体蚤和窝巢蚤调查秃病蚤蒙冀亚种信息,数据来源于中国疾病预防控制系统的子系统鼠疫防治管理信息系统,采用Logistic回归筛选秃病蚤蒙冀亚种的气候环境危险因素,利用规则集遗传算法(GARP)生态位模型预测秃病蚤蒙冀亚种适宜分布区,利用受试者工作特征曲线(ROC曲线)验证模型。结果 经过筛选有21个气候环境因素纳入模型,GARP模型ROC曲线下面积(AUC)为0.978,模型预测效果较好,秃病蚤蒙冀亚种适宜分布区位于内蒙古自治区中部、河北省张家口市西北部、陕西省榆林市西部、宁夏回族自治区北部、山西省北部和甘肃省东北部。结论 利用GARP生态位模型预测秃病蚤蒙冀亚种适宜分布区,得到较好的预测结果,结果准确可靠。

关键词: 秃病蚤蒙冀亚种, 规则集遗传算法, 鼠疫

Abstract: Objective To study the association of the spatial distribution of Nosopsyllus laeviceps kuzenkovi with climate and environmental factors, to effectively predict the suitable distribution area for N. laeviceps kuzenkovi, and to provide a scientific basis for the prevention and control of animal plague. Methods From 2005 to 2014, the information on N. laeviceps kuzenkovi was collected from the survey of rat flea and nest flea in routine plague surveillance. The information source was the plague prevention and management information system, which was a subsystem of the Chinese Disease Prevention and Control System. Logistic regression was used to explore the climate and environmental factors for N. laeviceps kuzenkovi. The genetic algorithm for rule-set prediction (GARP) ecological niche model was used to predict the suitable distribution area for N. laeviceps kuzenkovi. The receiver operating characteristic (ROC) curve was used to validate the model. Results After screening, 21 climate and environmental factors were enrolled in the model. The area under ROC curve was 0.978, suggesting a strong prediction capability of the GARP model. The suitable distribution area for N. laeviceps kuzenkovi was located in the central part of Inner Mongolia Autonomous Region, northwest of Zhangjiakou in Hebei province, west of Yulin in Shaanxi province, north of Ningxia Hui Autonomous Region, northern of Shanxi province, and northeast of Gansu province. Conclusion The GARP ecological niche model is accurate and reliable in the prediction of the suitable distribution area for N. laeviceps kuzenkovi.

Key words: Nosopsyllus laeviceps kuzenkovi, Genetic algorithm for rule-set prediction, Plague

中图分类号: