...
首页> 外文期刊>International Journal of Environment and Bioenergy >Geospatial Analysis of Malaria Risks in the Ancient Town of Akure, Ondo State, Nigeria
【24h】

Geospatial Analysis of Malaria Risks in the Ancient Town of Akure, Ondo State, Nigeria

机译:尼日利亚翁多州阿库雷古镇疟疾风险的地理空间分析

获取原文
           

摘要

Globally, menace of malaria fever has been considered as a threat to human population. Nigeria as a country in tropical climate is worse hit. Monitoring of this deadly disease desires a greater attention. Hence, this study exploits the integrated approach of Remote Sensing and GIS in Epidemiology with the aim of generating malaria risk map of Akure with a view to determining the degree of vulnerability of the study area and reducing the malaria incidence through appropriate medical intervention. The objectives are to generate a mean malaria incidence map of Akure, Analyse the factors responsible for the mean malaria distribution (i.e. Hazard map) of Akure and finally to generate Malaria Risks Map. The mean monthly malaria data across the 23 electoral ward was interpolated using the Inverse Distance Weighted (IDW) techniques. The Hazard map was generated using the multi criteria evaluation, where eight different environmental factors were overlaid using fuzzy overlay techniques. Malaria Risk map was generated by dividing the malaria incidence by the total population at the beginning of the study, and the result showed that places the probability range of very low, low, medium, high, and very high risk of malaria diseases is 0%-1.6%, 1.6% - 10.9%, 10.9% - 27.14%, 27.14% -50.33% and 50.33% - 81.99% respectively such that, places like Moferere, Aba Igbira and Igbatoro the very high risk of the diseases. The study recommends the establishment of health centers should be made at high and very high risk areas at reasonable distance away from the existing health facilities so that people at a distance can easily access the service.
机译:在全球范围内,疟疾的威胁已被视为对人类的威胁。尼日利亚是热带气候国家,灾情较重。对这种致命疾病的监测需要引起更多关注。因此,本研究利用流行病学中的遥感和GIS集成方法,以生成Akure疟疾风险图,以期确定研究区域的脆弱程度并通过适当的医疗干预措施来降低疟疾发病率。目的是生成Akure的平均疟疾发病率图,分析造成Akure的平均疟疾分布的因素(即危害图),最后生成疟疾风险图。使用反距离权重(IDW)技术对23个选举区的平均每月疟疾数据进行了插值。危害图是使用多标准评估生成的,其中使用模糊叠加技术叠加了八个不同的环境因素。疟疾风险图是通过在研究开始时将疟疾发病率除以总人口而得出的,结果表明,发生疟疾风险的极低,低,中,高和非常高的概率范围为0%分别为-1.6%,1.6%-10.9%,10.9%-27.14%,27.14%-50.33%和50.33%-81.99%,因此,像Moferere,Aba Igbira和Igbatoro这样的地方,患病的风险很高。研究建议在距离现有医疗机构合理距离的高风险和高风险地区建立医疗中心,以使远处的人们可以轻松获得该服务。

著录项

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