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Could Cultures Determine The Course Of Epidemics And Explain Waves Of Covid-19?, Md Salman Rahman
Could Cultures Determine The Course Of Epidemics And Explain Waves Of Covid-19?, Md Salman Rahman
Theses and Dissertations
Coronavirus Disease (COVID-19), caused by the SARS-CoV-2 virus, is an infectious disease that quickly became a pandemic spreading with different patterns in each country. Travel bans, lockdowns, social distancing, and non-essential business closures caused significant economic disruptions and stalled growth worldwide in the pandemic’s first year. In almost every country, public health officials forced and/or encouraged Nonpharmaceutical Interventions (NPIs) such as contact tracing, social distancing, masks, and quarantine. Human behavioral decision-making regarding social isolation significantly impedes global success in containing the pandemic. This thesis focuses on human behaviors and cultures related to the decision-making of social isolation during the pandemic. …
An Application Of Matrices To The Spread Of The Covid 19, Selena Suarez
An Application Of Matrices To The Spread Of The Covid 19, Selena Suarez
Theses and Dissertations
We represented a restaurant seating arrangement using matrices by using 0 entry for someone without covid and 1 entry for someone with covid. Using the matrices we found the best seating arrangements to lessen the spread of covid. We also investigated if there was a factor needed to create a formula that could calculate the matrix that shows who would be affected with covid with each seating arrangement. However, there did not seem to be a clear pattern within the factors. Aside from covid applications, we also investigated the symmetries in seating arrangements and the possible combinations with these arrangements …
Classification And Keyword Identification Of Covid 19 Misinformation On Social Media: A Framework For Semantic Analysis, Grace Y. Smith
Classification And Keyword Identification Of Covid 19 Misinformation On Social Media: A Framework For Semantic Analysis, Grace Y. Smith
Theses and Dissertations
The growing surge of misinformation among COVID-19 communication can pose great hindrance to truth, magnify distrust in policy makers and/or degrade authorities’ credibility, and it can even harm public health. Classification of textual context on social media data relating to COVID-19 is an effective tool to combat misinformation on social media platforms. In this research, Twitter data was leveraged to 1) develop classification methods to detect misinformation and identify Tweet sentiment with respect to COVID-19 and 2) develop a human-in-the-loop interactive framework to enable identification of keywords associated with social context, here, being misinformation regarding COVID-19. 1) Six fusion-based classification …
A Statistical Comparison Of Covid-19 In The United States Across Political Affiliations And Census Regions, Margarito Torres
A Statistical Comparison Of Covid-19 In The United States Across Political Affiliations And Census Regions, Margarito Torres
Theses and Dissertations
In mid-January 2020, the United States reported their first cases of the coronavirus disease (COVID-19) from a passenger returning from Wuhan, China. Initially, the situation wasn’t very alarming as in China and European countries, but the situation began to worsen in March 2020 when the number of cases began to multiply. Then, in a matter of a few months, the United States became the number one country in terms of total cases and total deaths from COVID-19. We have been closely observing the United States and the world since July 2020. Our study aims to compare the political affiliations and …
Semantic Analysis Of Vaccine And Mask Sentiments In Covid-19 Twitter Data, Mohammadreza Sediqin
Semantic Analysis Of Vaccine And Mask Sentiments In Covid-19 Twitter Data, Mohammadreza Sediqin
Theses and Dissertations
SARS CoV-2 (COVID-19) was identified as the cause of severe respiratory disease in China in 2019. It is a virus that will be transferred person-to-person by sneezing, coughing, or talking. This phenomenon not only affects public health and economics but also mental health as well. SARS-CoV-2 vaccines and wearing masks plays significant rolesin preventing the spread of the COVID-19 virus, but vaccine hesitancy and anti-mask beliefs threaten the efficacy of the government orders in prevention and immunization against Coronavirus. The impact of the COVID-19 pandemic has been investigated from different aspects, but few large-scale studies focus on the opinion of …
The Transformation Process From In-Campus Classes Into Online Classes Due To Covid-19 Pandemic Situation - The Case Of Higher Education Institutions In Kosovo, Erëza Baftiu
Theses and Dissertations
The Covid-19 pandemic has caused many drastic changes in terms of traditional teaching. All the Universities of Kosovo have found the transition from teaching in class, to online classes quite challenging. Consequently, most Universities were not prepared for this adjustment and a lot of the universities before the pandemic stated that they never thought that this time would come and they would pause from classroom teaching. This study investigates the transformation of Higher Education Institution (HEI) of Kosovo from in-campus classes into online classes due to COVID-19 pandemic. Data collections were gathered from workshop and interview, resulting into qualitative data. …
Chemical Modification And In Silico Validation Of Medicinally Privileged Molecular Scaffolds As Kras And Sars-Cov-2 Protease Inhibitors, Precious M. Okwuchukwu
Chemical Modification And In Silico Validation Of Medicinally Privileged Molecular Scaffolds As Kras And Sars-Cov-2 Protease Inhibitors, Precious M. Okwuchukwu
Theses and Dissertations
Coronavirus disease was declared a global pandemic by WHO in March 2020, cancer is the second leading cause of death by a disease. Several scientists around the world are working relentlessly to discover an effective remedy to eradicate these deadly diseases. A natural polyphenol (magnolol) has been isolated from a tree Magnolia grandiflora (family Magnoliaceae) found on UTRGV campuses. This research is focused on design of a series of chemically modified sulfonyl derivatives based on the isolated magnolol framework and other medicinally privileged molecular scaffolds framework that can effectively bind to the COVID-19 main protease, SARS- CoV-2 3CL protease …