首页> 外文期刊>Southern African Journal of Epidemiology and Infection >Application of geographical information system and remote sensing in malaria research and control in South Africa: a review
【24h】

Application of geographical information system and remote sensing in malaria research and control in South Africa: a review

机译:地理信息系统和遥感在南非疟疾研究和控制中的应用:综述

获取原文

摘要

This paper presents a review of numerous items of published literature on the use of spatial technology for malaria epidemiology in South Africa between 1930 and 2013. In particular, focus is on the use of statistical and mathematical models as well as geographic information science (GIS) and remote sensing (RS) technology for malaria research. First, the review takes cognizance of the use of predictive models to determine the association between climatic factors and malaria epidemics only in KwaZulu-Natal province. Similar studies in other endemic regions such as Limpopo and Mpumalanga provinces have not been reported in the literature. While the integration of GIS with remote sensing has the potential of identifying, characterising, and monitoring breeding habitats and mapping malaria risk areas in South Africa, studies on the application of spatial technology in malaria research and control in South Africa are inexhaustive and have not been reported in the literature. As a result, a critical robust malaria warning system, which uses GIS and RS in South Africa, is yet to be realised. It is recommended that the wide range of datasets available from different sources including RS and global positioning systems (GPS) ought to be integrated into a GIS system, which is a core spatial technology vital for understanding the epidemiological processes of malaria and hence support in decision-making in malaria control. (Full text available online at www.medpharm.tandfonline.com/ojid ) South Afr J Infect Dis 2015; DOI: 10.1080/23120053.2016.1106765
机译:本文对1930年至2013年间在南非利用疟疾流行病学应用空间技术的大量已发表文献进行了回顾。特别是,重点是统计和数学模型以及地理信息科学(GIS)的使用以及用于疟疾研究的遥感(RS)技术。首先,该综述仅在夸祖鲁-纳塔尔省确定使用预测模型来确定气候因素与疟疾流行之间的关联。在其他流行地区,例如林波波省和姆普马兰加省,也没有类似文献报道。虽然将GIS与遥感技术相集成可以识别,表征和监测南非的繁殖栖息地并绘制疟疾风险区的图样,但在南非对疟疾研究和控制的空间技术应用研究并不详尽,并且尚未进行。文献报道。结果,尚未实现在南非使用GIS和RS的重要的强大疟疾预警系统。建议应将包括RS和全球定位系统(GPS)在内的不同来源的广泛数据集集成到GIS系统中,这是对了解疟疾的流行病学过程至关重要的核心空间技术,因此有助于决策控制疟疾。 (全文可在线访问www.medpharm.tandfonline.com/ojid)2015年南非A传染病杂志; DOI:10.1080 / 23120053.2016.1106765

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号