The Essentials Of Statistical Inference In Liberia's Health Sector:an Empirical Statistical Analysis About Deaths Caused By Ebola Virus In Montserrado County

This research seeks to find the most appropriate options for the Government of Liberia through the Ministry of Health to execute full responsibilities of all health related matters and address the needs of basic healthcare services covering a long term studies which is wholly and surely based on quantitative research method and the development of the use of a mathematical model(the multiple logistic regressions model),a method best convenient for the analysis of epidemiological data sets as means of displaying the essentials of statistical inferences at all level.The method which can be viewed as a solution driven force and widely useful for its simplification provides an intuitive understanding of parameterization on relationships between variables(dependent and independent)as factors exposed and unexposed to diseases in applying simulations with approximation of probabilistic sampling distributions.As a result of using this model to give clearer understanding on various hypotheses mentioned in this research,are as follows herein;The odds of death in the hospitals are 57%less than in the ETUs and while the odds in the ETUs are 2.01%less than in the hospitals with the true population effect between 66%and 49%,3.26%and 1.3%indicated that the results were statistically significant.The predictors measures of age and place of death were proven statistically significant with(OR 1.02,95%CI 1.02-1.01)for age and(OR 1.16,95%CI 1.33-1.02)for the ETUs and(OR 0.65,95%Cl 0.75-0.56)for the hospitals indicating that 1.02,1.16,and 0.65 times more all ages and place of death precisely the(ETUs and hospitals)were affected mostly.And on the overall,the odds of death in the hospitals are 65%less than in the ETUs and while the odds in age are 1.02%less than in the district with their true population effect between 75%and 56%,1.02%and 1.01%indicating that the results were statistically significant at all levels highlighting how greatly the health sector in Liberia was affected by the deadly Ebola virus disease and needs more attention.A 5%statistical significance was determined on all the results.The use of this model suggests that population migration is an important factor in the formulation of healthcare policies document on disease control measures.Nonetheless,in conclusion to this research,it is actually intended to serve as a guide for the Ministry of Health to reference for further studies for the full implementations of policies documents crafted on enhancement of work force including data scientists,health workers among others to use in the fight against disease outbreak at all levels and other major health related problems since the Ebola virus disease case was alarming.