On March 12, 2020, The World Health Organization (WHO) announced the new coronavirus 2019 as a global pandemic. In January 2022, the number of COVID-19 cases reached 300 million confirmed cases with a total death count of 5.5 million cases. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was identified in a seafood wholesale market in Wuhan, China. At the time of the outbreak, there was no effective treatment to protect from the novel coronavirus; the only way to control the pandemic was through reducing person-to-person contact and taking preventive measures based on the severity of the disease among the population. The first aim of this thesis is to visualize the confirmed, deaths, and recovered cases across the most affected countries and to analyze if non-pharmaceutical interventions (NPI), such as government interventions, are effective in flattening the curve. The second aim of this thesis is to use machine learning models to predict the severity of COVID-19 and clinical outcomes based on demographic, epidemiological, comorbidities, and laboratory findings among the Egyptian population during the lockdown period.
School of Sciences and Engineering
MS in Biotechnology
Committee Member 1
Committee Member 2
Committee Member 3
Institutional Review Board (IRB) Approval
Not necessary for this item
(2023).A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients [Master's Thesis, the American University in Cairo]. AUC Knowledge Fountain.
Mohamed, Hanya. A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients. 2023. American University in Cairo, Master's Thesis. AUC Knowledge Fountain.