Predictors of Malaria Mortality Among Children In Ghana
A Binary Logistic Regression Model Perspective
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Malaria is a persistent public health problem and is the leading cause of death among young African children, killing one child every second. The disease also seriously affects children s future: they may suffer neurological after-effects and impaired learning ability. Malaria is hyper-endemic in Ghana. It remains a major public health problem, requiring focused interventions including prompt and effective scientific studies. Therefore, this study, applied a binary logistic regression model to analyze predictors influencing malaria in-hospital mortality using inpatient morbidity and mortality ...
Malaria is a persistent public health problem and is the leading cause of death among young African children, killing one child every second. The disease also seriously affects children s future: they may suffer neurological after-effects and impaired learning ability. Malaria is hyper-endemic in Ghana. It remains a major public health problem, requiring focused interventions including prompt and effective scientific studies. Therefore, this study, applied a binary logistic regression model to analyze predictors influencing malaria in-hospital mortality using inpatient morbidity and mortality returns register from the Tamale Teaching Hospital in the northern region of Ghana. The study comprised five chapters in all. The results showed that there is a linear relationship between malaria mortality and the predictors. Again, it was found that the predictors; referral status, distance, treatment type and length of stay were relevant in predicting malaria mortality. This book, therefore, provides a scientific resource for health personnel, the health ministries, the World Health Organization (WHO) and other stakeholders in the public health sector.
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