首页> 外文期刊>American Journal of Theoretical and Applied Statistics >Spatial Modelling of Malaria Prevalence and Its Risk Factors in Rural SNNPR, Ethiopia: Classical and Bayesian Approaches
【24h】

Spatial Modelling of Malaria Prevalence and Its Risk Factors in Rural SNNPR, Ethiopia: Classical and Bayesian Approaches

机译:埃塞俄比亚农村SNNPR中疟疾流行的空间模型及其危险因素:经典方法和贝叶斯方法

获取原文
       

摘要

The purpose of this study was to assess the spatial distribution of malaria prevalence rates among selected rural part of woredas in SNNPR, Ethiopia. This work is based on data available from the 2011 malaria indicator survey (MIS 2011) of Ethiopian Public Health Institution. ESDA, Spatial regression model and Bayesian Spatial analysis were employed for data analysis. From ESDA, we found positive spatial autocorrelation in malaria prevalence rate. Relying on specification diagnostics and measures of fit; Spatial lag model was found to be the best model for modeling malaria prevalence rate data. The relationship between malaria prevalence and its risk factors was assessed using spatial models. The spatial models also showed an increase of malaria prevalence with a number of factors. From results, increase in the proportion of households sprayed in 12 months and the average altitude in the woreda estimated to decrease the average malaria prevalence. The result also demonstrated that increase in the House hold size of the district, proportion of households having access to piped water, proportion of households having access to radio, proportion of households having access to radio and Main construction material of the room's wall are estimated to raise the average malaria prevalence rate. Finally, the study concluded that malaria is spatially clustered in space and the risk factors exhibit effect on the malaria prevalence in the study area. Based on the results of the study, We recommend for policy makers on the way to reduce malaria prevalence in the rural part of woreda of SNNPR using spatial information.
机译:这项研究的目的是评估埃塞俄比亚SNNPR的部分woredas农村地区疟疾流行率的空间分布。这项工作基于埃塞俄比亚公共卫生机构2011年疟疾指标调查(MIS 2011)中的可用数据。采用ESDA,空间回归模型和贝叶斯空间分析进行数据分析。从ESDA,我们发现疟疾患病率呈正空间自相关。依靠规范诊断和拟合方法;发现空间滞后模型是模拟疟疾流行率数据的最佳模型。使用空间模型评估了疟疾患病率与其危险因素之间的关系。空间模型还显示出疟疾患病率上升与许多因素有关。从结果可以看出,在12个月内喷洒的家庭比例增加了,而在woreda地区的平均海拔估计降低了平均疟疾流行率。结果还表明,该地区房屋面积的增加,使用自来水的家庭比例,使用收音机的家庭比例,使用收音机的家庭比例以及房间墙壁的主要建筑材料估计为提高平均疟疾流行率。最后,研究得出结论,疟疾在空间上在空间上聚集,危险因素对研究区域的疟疾流行有影响。根据研究结果,我们建议政策制定者使用空间信息减少SNNPR Woreda农村地区的疟疾流行率。

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