Delay of Detection of COVID-19 Patients in Bangladesh; An Application to Cox Proportional Hazard Model

Background: We depicted the survival rate of the patients with coronavirus disease 2019 (COVID-19). We focused on the patients who were detected lately after symptom development. The aim is to determine the socio-demographic risk factors associated with the delaying detection of COVID-19 patients. Methods: We selected 300 COVID-19 patients from May to July 2020 for this cross-sectional study in the Molecular Biology Laboratory of Chittagong Medical College, Chattogram, Bangladesh. We recorded clinical characteristics from over phone interviews and laboratory diagnosis by Real-time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCR). We applied the Cox proportional hazard model to estimate risk factors affecting the delaying detection of COVID-19 patients. Results: The female mortality rate was 44.9% higher compared to males. The graduates died 32% more than undergraduates, and unmarried peoples’ death rate was 56% more than married. Besides, those who traveled irregularly and in contact with symptomatic patients were 86% more died than non-travelers. Conclusion: Early diagnosis of COVID-19 can save enormous life, and it should emphasize special attention on the significant explanatory variable.