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  • The COVID-19 basic reproductive ratio using SEIR model for the Middle East countries and some other countries for two stages of the disease

    • Authors: Al-Raeei, Marwan;  Advisor: -;  Participants: - (2021)

  • We employ Runge–Kutta method on SEIR model to simulate the basic reproductive ratio values of SARS-CoV-2 disease by using the recorded data of the disease for two stages, up to date May 29, 2020, in the first stage and up to date September 7, 2020, in the second stage. We estimate the coefficient of exposing rate, the coefficient of infection rate, the coefficient of recovery rate and the coefficient of mortality rate of the new coronavirus disease in addition to the basic reproductive ratio values of the disease in the Middle East countries, namely Bahrain, Cyprus, Egypt, Iran, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, the Syrian Arab Republic, the United Arab Emirates, Turkey and Yemen where we apply the SEIR epidemic model.
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  • An outline of SARS-CoV-2 pathogenesis and the complement cascade of immune system

    • Authors: Hembram, Padmalochan;  Advisor: -;  Participants: - (2021)

  • Coronavirus disease 19 is a viral infection caused by a novel coronavirus, SARS-CoV-2. It was first notified in Wuhan, China, is now spread into numerous part of the world. Thus, the world needs urgent support and encouragement to develop a vaccine or antiviral treatments to combat the atrocious outbreak.
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  • Regression tree modelling to predict total average extra costs in household spending during COVID-19 pandemic

    • Authors: Lotfy, Nesma;  Advisor: -;  Participants: - (2021)

  • Most of the respondents were females (81%) and aged between 30 and 40 (56.3%). About 63.1% of families had the same monthly income while 35.4% had a decrease in monthly income. A significant reduction in days of leaving home before and after COVID-19 pandemic was observed (before; median = 6, after; median = 5, P =  < 0.001). The extra spending in grocery was the dominated item compared to other items (mean = 707.2 L.E./month, SD = 530.7). Regarding regression tree, the maximum average extra costs due to COVID-19 pandemic were 1386 L.E./month (around 88.56$/month (1$—> 15.65L.E.)) while the minimum average extra costs were 217 L.E./month (around 13.86$/month).
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  • SARS-CoV-2 infection: a global outbreak and its implication on public health

    • Authors: Mohan, Sankari;  Advisor: -;  Participants: Anjum, M. Reshma; Kodidasu, Anusha; Prathyusha, T. V. N. Sai; Mrunalini, Nunna Venkata; Kishori, B. (2021)

  • A novel corona virus is formally named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which results in causing coronavirus disease 2019 (COVID-19). It is the latest prevalent pandemic worldwide when compared to other infectious diseases like Avian flu, Middle East respiratory syndrome and severe acute respiratory syndrome (SARS).
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  • Recent updates on the possible reasons for the low incidence and morbidity of COVID-19 cases in Africa

    • Authors: Tsinda, Emmanuel Kagning;  Advisor: -;  Participants: Mmbando, Gideon Sadikiel (2021)

  • The COVID-19 respiratory illness caused by the SARS-CoV-2 has been a major cause of morbidity and mortality worldwide since the first reported case in Wuhan, China. A year has passed since pandemic began, and the reasons for different COVID-19 burden variation across continents keep puzzling the general public.
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  • Sleep quality and anxiety symptoms in Egyptian children and adolescents during COVID-19 pandemic lockdown

    • Authors: El Refay, Amira Sayed;  Advisor: -;  Participants: Hashem, Shaimaa A.; Mostafa, Hend H.; Kamel, Iman H.; Sherif, Lobna S. (2021)

  • The overall mean Sleep Disturbance Scale for Children score (SDSC) in participated groups was 44.6 ± 11.72. Of 765 participants 502 (65.6%) showed the symptoms suggestive of sleep disorder. Disorders of initiating and maintaining sleep were the most common among participants as 168 (33.4%) of them were suffering from it while 79 (15.7%) children were suffering from excessive somnolence. Linear stepwise regression revealed that anxiety score, understanding safety measures, and following strict quarantine measures significantly predicted SDSC (p = 0.001, 0.009, 0.046). Significant positive correlations were found between SDSC and extra screen usage, understanding safety and quarantine measures, anxiety signs, and change in child lifestyle with (p = 0.029, 0.010, 0.001 and 0.001) seque...