title: Multiple correspondence analysis as a tool for analysis of large health surveys in African settings.
abstract: 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.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  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.
authors: School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa.
authors: Dawit
authors: D
authors: Ayele
authors: School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa.
authors: Temesgen
authors: T
authors: Zewotir
authors: School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa.
authors: Henry
authors: H
authors: Mwambi
mesh_terms: D003710:Demography; D003955:Diagnostic Tests, Routine; D005002:Ethiopia / Q000453:epidemiology; D005191:Family Characteristics; D005260:Female; D005843:Geography; D006306:Health Surveys / Q000379:methods*; D006801:Humans; D008288:Malaria / Q000175:diagnosis* / Q000453:epidemiology; D008297:Male; D009032:Mosquito Control / Q000379:methods; D015995:Prevalence; D012307:Risk Factors; D012424:Rural Population; D012959:Socioeconomic Factors
keywords: CA; MCA; RDT; malaria