Analysis of Malaria Incidence using Quasi-Poisson Regression Model: Evidence from Obuasi Municipality, Ghana

Abstract

Death and economic losses associated with malaria have become a global phenomenon that need urgent attention. To obtain a better understanding of incidence of the disease, a quasi-Poisson regression model has been applied in this study to determine the incidence of malaria in Obuasi Municipality, Ghana. Our results show that the incidence of malaria is more prevalent among individuals within the ages of 20 to 34 years and those above 50 years, as compared to children under 5 years of age. In addition, the study reveals that most incidence of malaria were reported in the last quarter of every year between 2007 and 2010.

Keywords: Obuasi Municipality, malaria, risk factors, quasi-Poisson regression model