Journal of E-Learning and Educational Technologies (JEET)

PREDICTORS OF MORTALITY AMONG COVID-19 PATIENTS IN LUBUMBASHI, DEMOCRATIC REPUBLIC OF CONGO

Authors

  • Gerald Ardito School of Education, Manhattanville College, Purchase, New York, USA

Abstract

The ongoing pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed millions of lives worldwide. This retrospective cohort study aimed to identify predictors of mortality and evaluate survival among COVID-19 patients in Lubumbashi, Democratic Republic of Congo, from July to September 2021. The study collected data from hospitals in Lubumbashi that take care of COVID-19 patients. The sample consisted of 1276 patients, with 684 males and 592 females. The study found that age above 40, male gender, and diabetes were potential predictors of mortality for COVID-19 patients in Lubumbashi. The survival rate decreased by 20% within 20 days of admission, with the survival rate decreasing to 5% for patients below 40 years of age, 15% for those aged 40-59, and 23% for those aged 60 or above. Male patients had a lower survival rate of 20%, while female patients had a survival rate of approximately 15%. Patients with diabetes had a lower survival rate of approximately 15%. Comorbidities such as hypertension, diabetes, stroke, and respiratory diseases decreased the survival rate among COVID-19 patients. The study highlights the importance of early detection, adequate treatment, and management of comorbidities to improve the survival rate of COVID-19 patients in Lubumbashi.

Keywords:

COVID-19, predictors of mortality, survival, Lubumbashi, Democratic Republic of Congo, comorbidities.

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Published

2023-04-01

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Section

Articles

How to Cite

Gerald Ardito. (2023). PREDICTORS OF MORTALITY AMONG COVID-19 PATIENTS IN LUBUMBASHI, DEMOCRATIC REPUBLIC OF CONGO. Journal of E-Learning and Educational Technologies (JEET), 1(1), 86–101. Retrieved from http://zapjournals.com/Journals/index.php/jeet/article/view/235