Departments of Statistics

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    SURVIVAL ANALYSIS OF TIME TO RECOVERY OF ADIMTTED COVID-19 PATIENTS: IN HAWASSA UNVERCITY REFERAL AND COMPREHENSIV HOSPITAL TEREATMENT CENTER.
    (HAWASSA UNIVERSITY, 2023-06) AMANUEL MERDIKYOS NANA
    Corona virus is one of the major pathogens that primarily target the human respiratory system, which started in Wuhan, China in December 2019, has emerged as a global health and economic security threat with an overwhelming growing incidence worldwide. When the World Health Organization (WHO) declared the disease a global public health emergency, different stakeholders stepped up efforts to convince the world that the disease is a serious problem that needs strong containment measures. The main objective of the study is to identify the determinant risk factors for the recovery of corona virus(covid-19) patients. A study population of 826 total Covid-19 Patients that had been treated at Hawassa University Comprehensive and Referral hospital from September 20, 2013 to January 20, 2014 E.C was included in the study. Descriptive statistics and Kaplan-Meier survival curves were used to estimate and compare the recovery time of corona virus (covid-19) patients among different categorical characteristics of the patients. We used survival time model to analyze the data. The Weibull regression model better fits the recovery time of corona virus (covid-19) than the exponential, log-logistic model and log-normal model. The result showed that out of a total of 826 corona virus (covid-19) patients considered total recovery are 637(77.12%) recovered from covid-19. From the result severity (HR=0.932, p value=0.014), Co-morbidty(HR=0.89,p-value=0.038), other pains out of covid-19(HR=0.7918, P-value=0.006), shortness of breath (HR=0.83,p-value=0.025), severe headache (HR=0.843, p value=0.034) and Age (HR=0.8948, p-value=0.000) were the significant factors for the corona virus(covid-19) patients using Weibull regression model. The model showed that the major factors that affect the recovery time of corona-virus (covid-19) and see the associations factors among patients. Patient’s comorbidities have a major impact on CVID-19; So, health profession should close follow up is required for client admitted with comorbidity and create great awareness about the risk factors the corona virus (covid-19).