首页> 外文期刊>Rural and Remote Health >Types of homes and ways of life: a territorial analysis of the environmental determinants that factor into the proliferation of malaria vectors in the rural region of Allada in Benin
【24h】

Types of homes and ways of life: a territorial analysis of the environmental determinants that factor into the proliferation of malaria vectors in the rural region of Allada in Benin

机译:住房类型和生活方式:对影响贝宁阿拉达农村地区疟疾媒介扩散的环境决定因素的地域分析

获取原文
       

摘要

Introduction:Anthropogenic factors, as well as environmental factors, can explain fine-scale spatial differences in vector densities and seasonal variations in malaria. In this pilot study, numbers of Anopheles gambiae were quantified in concessions in a rural area of southern Benin, West Africa, in order to establish whether vector number and human factors, such as habitat and living practices, are related.Methods:The courtyard homes of 64 concessions (houses and private yards) were systematically and similarly photographed. Predefined features in the photographed items were extracted by applying an analysis grid that listed vector resting sites or potential breeding sites and also more general information about the building materials used. These data were analysed with respect to entomological data (number of mosquitoes caught per night) using the Kruskal-Wallis test, Pearson correlation coefficients, and analysis of covariance (ANCOVA).Results:Three recurrent habitat/household types and living practices were identified that corresponded to different standards of living. These were related to the average number of mosquitoes captured per night: type I=0.88 anophelesight; type II=0.85; and type III 0.55, but this was not statistically significant (Kruskal-Wallis test; p=0.41). There were no significant relationships between the number of potential breeding sites and number of mosquitoes caught (Pearson's correlation coefficient=-0.09, p=0.53). ANCOVA analysis of building materials and numbers of openings did not explain variation in the number of mosquitoes caught.Conclusions:Three dwelling types were identified by using predetermined socio-environmental characteristics but there was no association found in this study between vector number and habitat characteristics as was suspected.
机译:简介:人为因素以及环境因素都可以解释媒介密度的细微空间差异和疟疾的季节性变化。在这项先导研究中,对西非贝宁南部农村地区特许权中的冈比亚按蚊数量进行了定量,以确定媒介数量与人为因素(例如栖息地和生活习惯)是否相关。系统地拍摄了64个特许权(房屋和私人庭院)中的照片,并进行了类似的拍照。通过应用分析网格来提取被摄物体中的预定义特征,该分析网格列出了矢量放置点或潜在的繁殖点以及有关所用建筑材料的更一般信息。使用Kruskal-Wallis检验,皮尔逊相关系数和协方差分析(ANCOVA)对昆虫学数据(每晚捕获的蚊子数)进行分析。结果:确定了三种经常性的栖息地/家庭类型和生活习惯对应不同的生活水平。这些与每晚捕获的蚊子的平均数量有关:I型= 0.88 //晚; II型= 0.85;和III型0.55,但这在统计学上不显着(Kruskal-Wallis检验; p = 0.41)。潜在的繁殖地点数量与捕获的蚊子数量之间没有显着的相关性(皮尔森相关系数= -0.09,p = 0.53)。 ANCOVA对建筑材料和开口数量的分析不能解释捕获的蚊子数量的变化。结论:利用预定的社会环境特征确定了三种居住类型,但在本研究中发现媒介数量与栖息地特征之间没有关联被怀疑。

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