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Spatio-Temporal Distribution of Malaria in Yunnan Province, China

机译:云南省疟疾的时空分布

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摘要

The spatio-temporal distribution pattern of malaria in Yunnan Province, China was studied using a geographic information system technique. Both descriptive and temporal scan statistics revealed seasonal fluctuation in malaria incidences in Yunnan Province with only one peak during 1995–2000, and two apparent peaks from 2001 to 2005. Spatial autocorrelation analysis indicated that malaria incidence was not randomly distributed in the province. Further analysis using spatial scan statistics discovered that the high risk areas were mainly clustered at the bordering areas with Myanmar and Laos, and in Yuanjiang River Basin. There were obvious associations between Plasmodium vivax and Plasmodoium falciparum malaria incidences and climatic factors with a clear 1-month lagged effect, especially in cluster areas. All these could provide information on where and when malaria prevention and control measures would be applied. These findings imply that countermeasures should target high risk areas at suitable times, when climatic factors facilitate the transmission of malaria.
机译:利用地理信息系统 技术研究了云南省 省疟疾的时空分布格局。描述性扫描和时间扫描统计都显示 云南省疟疾发病率的季节性波动 在1995-2000年只有一个高峰,而从2000年开始有两个明显的 峰值。 2001年至2005年。空间自相关分析表明 该省的疟疾发病率并非随机分布。 使用空间扫描统计数据的进一步分析发现, 高危险区域主要集中在与缅甸和老挝接壤的 地区以及Yuan江流域。间日疟原虫与恶性疟原虫恶性疟疾的发病率和气候因素之间存在明显的关联,并具有明显的 1个月滞后效应,尤其是在集群地区。所有这些 可以提供有关在何处以及何时实施疟疾预防和控制措施的信息。这些发现暗示 当气候因素促进疟疾传播时,应对措施应在适当的 时间针对高风险地区。

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    State Key Laboratory of Remote Sensing Science, Jointly Sponsoredby the Institute of Remote Sensing Applications of Chinese Academyof Sciences and Beijing Normal University, Beijing, People’sRepublic of China;

    College of Global Change and Earth SystemScience, Beijing Normal University, Beijing, People’sRepublic of China;

    State Key Laboratory of Pathogen and Biosecurity,Beijing Institute of Microbiology and Epidemiology, Beijing,People’s Republic of China;

    Department of EnvironmentalScience and Engineering, Tsinghua University, Beijing, People’sRepublic of China;

    Yunnan Institute of Parasitic Diseases, Pu’er,People’s Republic of China;

    National Institute of ParasiticDiseases, Chinese Center for Disease Control and Prevention,Shanghai, People’s Republic of China;

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