Logistic Regression Modeling To Isolate Factors That Correlate With Usage Of ITN As A Prophylactic To Malaria In Asamankese, Ghana | 17938
Epidemiology: Open Access
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his study was meant to isolate factors that correlate with ownership and usage of insecticide treated nets (ITNs) as a
prophylactic to malaria in Asamankese, Ghana and explore the policy implications of the findings for ITN programs. A
cross-sectional design was used. A structured close-ended interviewer-administered questionnaire was designed. Snowball
technique was used to sample views from 500 mothers and care-givers of children less than five years from 23 communities
of Asamankese, Ghana. A chi- square test was used to ascertain the significance of certain variables; a logistic regression
model was used to isolate factors that had possible influence on ITN usage at 95% confidence interval. In determining one?s
motivation for usage of ITN, ?sleeping area allowing for use of ITN? was the most important (Wald Chi-square=45.184), followed
by ?expected monthly income? (Wald Chi-square=7.114), then second cycle level of education (Wald Chi-square=6.512) and
finally, ?number of children under five years? (Wald Chi-square=5.029). There was an association between ITN use and monthly
income of respondents (p<0.05). Furthermore, there was a significant relationship (p<0.05) between environmental factors
and ITN usage. Finally, there was a relationship (p<0.05) between one?s knowledge and use of ITN. Behavior change education
should be intensified in the municipality so that more people could accept and adopt lifestyles that will protect them from the
deadly diseases. Proper housing structures that promote the use of ITNs should also be encouraged.
Anthony Joe Turkson has completed a PhD program in Statistics from Huazhong University of Science and Technology, China. His specialty is Survival Analysis.
He is a Senior Lecturer and Dean for Academic Quality Assurance at Takoradi Polytechnic. He has six publications in reputed journals and a peer reviewer of some
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