On the Logistic Regression of Prevalence of Malaria Fever with Complications
1 Department of Mathematics and Statistics, Federal Polytechnic Nasarawa, Nigeria
2 Department of Mathematics and Statistics, Faculty of Physical Sciences, Ambrose Alli University, Ekpoma, Edo State, Nigeria.
* Corresponding author: omakupete@gmail.com
2 Department of Mathematics and Statistics, Faculty of Physical Sciences, Ambrose Alli University, Ekpoma, Edo State, Nigeria.
* Corresponding author: omakupete@gmail.com
Abstract
Logistic regression is used to evaluate the e ect of Malariacomplicated by Typhoid, Hypertension and HIV on covariatesAge and sex. Three sets of models were fitted with regards tothe complications. Results indicate that the e ect of sex for allcomplications were not significant, when Malaria is complicatedwith Typhoid; age was significant for patients who are less than19 years and above 50 years of age when p-values is 0.002 and0.0000 respectively. The study also reveals that patients who areabove 50 years of age are significant with p-value of 0.001 whenMalaria is complicated with Hypertension. The work concludesthat children and old adults are more vulnerable to this epidemicdisease which has been a major cause of mortality worldwide.
Keywords
Coefficient
Odd-Ratio
Logistic regression
Covariate
Logit
How to Cite
Omaku, P. E., & Jerome, S. I. (2019). On the Logistic Regression of Prevalence of Malaria Fever with Complications. Nigerian Journal of Mathematics and Applications, 29(2), 147-155. https://doi.org/10.67897/njma.2019.rv8yr82w
P. E. Omaku, and S. I. Jerome, "On the Logistic Regression of Prevalence of Malaria Fever with Complications," Nigerian Journal of Mathematics and Applications, vol. 29, no. 2, pp. 147-155, December 2019. doi: 10.67897/njma.2019.rv8yr82w
