Multiple correspondence analysis as a tool for analysis of large health surveys in African settings
Multiple correspondence analysis as a tool for analysis of large health surveys in African settings
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DOI：
10.4314/ahs.v14i4.35
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发表时间：
2014-01-01
影响因子：
1
通讯作者：
Mwambi, Henry
中科院分区：
文献类型：
--
作者：
Ayele, Dawit;Zewotir, Temesgen;Mwambi, Henry
背景：据估计，埃塞俄比亚总人口的三分之二以上面临疟疾风险。因此，疟疾是在Ethiopia.Objective的主要公共卫生问题：探讨疟疾快速诊断测试（RDT）结果的决定因素和社会经济，人口和地理因素之间的关联。从埃塞俄比亚的阿姆哈拉、奥罗米亚和南方民族和人民地区共选出224个群组，每个群组约有25户家庭。采用多重对应分析方法，对疟疾RDT结果与社会经济、人口和地理因素进行联合分析。结果：多重对应分析结果表明，疟疾RDT结果与不同的社会经济、人口和地理变量之间存在相关性。结论：表明一些社会经济、人口和地理因素具有共同影响。必须利用先进的统计技术确认社会经济、人口和地理因素之间的联系。
Background: More than two thirds of the total population of Ethiopia is estimated to be at risk of malaria. Therefore, malaria is the leading public health problem in Ethiopia.Objective: To investigate the determinants of malaria Rapid Diagnosis Test (RDT) result and the association between socio-economic, demographic and geographic factors.Method: The study used data from household cluster malaria survey which was conducted from December 2006 to January 2007. A total of 224 clusters of about 25 households each were selected from the Amhara, Oromiya and Southern Nation Nationalities and People (SNNP) regions of Ethiopia. A multiple correspondence analysis was used to jointly analyse malaria RDT result, socio-economic, demographic and geographic factors.Results: The result from multiple correspondence analysis shows that there is association between malaria RDT result and different socio-economic, demographic and geographic variables.Conclusion: There is an indication that some socio-economic, demographic and geographic factors have joint effects. It is important to confirm the association between socio-economic, demographic and geographic factors using advanced statistical techniques.