地理科学进展 ›› 2015, Vol. 34 ›› Issue (7): 926-935.doi: 10.18306/dlkxjz.2015.07.014

• 地貌与第四纪 • 上一篇    

自然疫源性疾病地理环境因子探测及风险预测研究综述

李一凡1,2, 王卷乐1,3,*(), 高孟绪1   

  1. 1. 中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,北京 1000101
    2. 中国科学院大学资源与环境学院,北京 100049
    3. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
  • 收稿日期:2015-02-01 修回日期:2015-03-01 出版日期:2015-07-10 发布日期:2015-07-10
  • 通讯作者: 王卷乐 E-mail:wangjl@igsnrr.ac.cn
  • 作者简介:

    作者简介:李一凡(1992-),女,山东潍坊人,硕士研究生,主要从事空间流行病学与遥感应用研究,Email: lyf@lreis.ac.cn

  • 基金资助:
    科技基础性工作专项(2011FY110400,2013FY114600);国家自然科学基金项目(41301474);中国科学院信息化专项(XXH12504-1-01)

A review of geographical and environmental factor detection and risk prediction of natural focus diseases

Yifan LI1,2, Juanle WANG1,3,*(), Mengxu GAO1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2015-02-01 Revised:2015-03-01 Online:2015-07-10 Published:2015-07-10
  • Contact: Juanle WANG E-mail:wangjl@igsnrr.ac.cn

摘要:

自然疫源性疾病的分布和传播与地理环境关系密切,探测其与地理环境因子的关系对于掌握自然疫源性疾病的分布及其风险预测具有重要意义。本文以蜱传自然疫源性疾病为重点,通过文献调研和资料收集分析,综述了蜱传性疾病主要地理分布特征,其与地貌、气候、土壤、植被、土地利用等地理环境因子的影响关系,以及该类疾病风险特征和风险因子探测、风险预测建模方法等方面的研究进展。从自然疫源性疾病研究中的数据来源、技术方法和结果表达3个层面,对其未来趋势进行分析和展望。

关键词: 自然疫源性疾病, 地理环境, 因子探测, 风险预测, 蜱传性疾病

Abstract:

:The distribution and transmission of natural focus diseases (NFDs) are closely related to the geographical environment. Further study on the relationship between geographical and environmental factors and distribution of NFDs is of great importance for the detection of natural foci and risk prediction of NFDs. Concentrated on the tick-borne diseases, this article provides an overview and analysis of the relationship between risk characteristics of NFDs and geographic and environmental factors, like soil, climate, vegetation and other man-made factors. Besides, this article has also summarized the detection methods of risk characteristics of NFDs, and the establishment and expression of risk prediction models. It points out the difficulties and research focus of current studies, and summarizes future research trends.

Key words: natural focus disease, geographical environment, factor detection, risk prediction, tick-borne disease