Biological Statistical
Statistical tool
Study design
Citation
Adhanom TDW, Witten HK, Getachew A, Seboxa T. In The Epidemiology and Ecology of Health and Disease in Ethiopia, 1st edition. Berhane Y, Hailemariam D, Kloos H, editor. Ababa Addis, Ethiopia: Shama PLC; 2006. Malaria; pp. 556–576.
Summary
An estimate of 75% of the Ethiopian population suffers from malaria, this results to the disease being the public health deficiency in the entire country. The study aims at investigating the prevalence rate and the socio-economic factors related to the geographic and demographic attributes. This occurs as the spread of malaria occurring on the rapid diagnosis test (RDT) survey outcomes.
Use of technique
Based on the baseline of the household cluster malaria survey conducted by The Carter Center, there was the development of the multi-stage random sampling method. Through the assumption of the minimal measurements of the spread of malaria indicator, there was an estimation of a sample size. Estimated from the population, the lowest indicator comprised of 8% individuals. The Amhara region has a diverse domain and the community-directed treatment with domain ivermetcin (CDTI) areas.
Outcome
The analysis of data develops using the SAS version 9.2. The deviance implicated compares to the alternative models through diverse selections. Change in the deviances occurs with the aim of measuring the extent into which the fit of models develops with the additional of multiple variables.
Critique
Individuals with poor socio-economic factors develop positively related to malaria infection. The improvement of housing status of the household is one of the means of minimizing the risk of contracting malaria. Children and female members are exposed to the risk of contracting malaria. This type of information is essential in the design improved strategic intervention for the minimization of malaria epidemic in Ethiopia.
