Socio-economic, demographic and geographic indicators on the malaria rapid diagnosis test (RDT)

Authors

  • Trevor F. Vermaak Author
  • Bokang Schmidt Author
  • Jano Majoro Mixwell Author

Keywords:

Cluster sampling, interaction effect,, mixed model, odds ratio, rapid diagnostic test.

Abstract

This study evaluates the effects of socio-economic, demographic and geographic indicators on the malaria 
rapid diagnosis test (RDT), using the baseline malaria indicator survey of 2007. This survey covered the 
Amhara, Oromiya and Southern Nations, Nationalities, and People’s Region (SNNPR) of Ethiopia. A total of 
224 clusters of, on average, 25 households each were selected. In total, 28,994 individuals participated in 
the survey. A generalized linear mixed model was used to analyze the data where the response variable was 
the presence or absence of malaria using the RDT. The results showed that for households with toilet 
facilities, clean drinking water and more living space, the chances of testing positive for malaria RDT 
decreased. Moreover, using malaria nets and spraying the house walls with anti-mosquito were found to be 
effective control measures. 

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Published

2015-07-18

How to Cite

Socio-economic, demographic and geographic indicators on the malaria rapid diagnosis test (RDT). (2015). International Journal of Medicine and Medical Sciences , 5(1), 58-71. https://kevinpage.org/index.php/IJMMS/article/view/642

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