African Health Sciences
Makerere University Medical School
Vol. 14, No. 4, 2014, pp. 1036-1049
Bioline Code: hs14154
Full paper language: English
Document type: Research Article
Document available free of charge
African Health Sciences, Vol. 14, No. 4, 2014, pp. 1036-1049
© African Health Sciences
Multiple correspondence analysis as a tool for analysis of large health surveys in African settings|
Ayele, Dawit; Zewotir, Temesgen & Mwambi, Henry
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.
MCA; CA; malaria; RDT