Univariate multilevel Poisson regression of factors associated with malaria infection among children in Muleba, Tanzania.
malaria, malaria infection
REGRESSION, MALARIA
In the univariate multilevel Poisson regression analysis, all factors except for the household IRS status had a statistically significant association with malaria infection among the selected children (In the multivariable multilevel analysis, about 5% (ICC = 0.05) of the total variability in the risk of malaria infection was attributed to the cluster/village. Based on the empty model (A model with outcome and cluster effect, before adding other variables) 6% of the variability in risk of malaria was due to clustering.Findings from the multivariable multilevel Poisson analysis suggest age of the child, sex, household IRS status in year 1, household SES, head of house education, study arm and survey year remain significantly associated with risk of malaria infection after adjusting for other factors (