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A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients
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...
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| Format: | Thesis |
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AUC Knowledge Fountain
2023
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| _version_ | 1867613421789249536 |
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| access_status_str | Open Access |
| author | Mohamed, Hanya |
| author_browse | Mohamed, Hanya |
| author_facet | Mohamed, Hanya |
| author_sort | Mohamed, Hanya |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-2981 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:53.165Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-2981 A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients Mohamed, Hanya 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. 2023-01-31T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1952 https://fount.aucegypt.edu/context/etds/article/2981/viewcontent/Thesis.pdf Theses and Dissertations AUC Knowledge Fountain COVID-19 Risk Factors Medicine and Health Sciences |
| spellingShingle | COVID-19 Risk Factors Medicine and Health Sciences 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 |
| title | A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients |
| title_full | A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients |
| title_fullStr | A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients |
| title_full_unstemmed | A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients |
| title_short | A Review of COVID-19 Lockdown Across Different Countries During 2020: Characterization of Risk Factors and Severity of COVID-19 in Egyptian Patients |
| title_sort | review of covid 19 lockdown across different countries during 2020 characterization of risk factors and severity of covid 19 in egyptian patients |
| topic | COVID-19 Risk Factors Medicine and Health Sciences |
| url | https://fount.aucegypt.edu/etds/1952 https://fount.aucegypt.edu/context/etds/article/2981/viewcontent/Thesis.pdf |
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