As the return to normality in the wake of the COVID-19 pandemic enters its early stages, the necessity for accurate, quick, and community-wide surveillance of SARS-CoV-2 has been emphasized. Wastewater-based epidemiology (WBE) has been used across the world as a tool for monitoring the pandemic, but studies of its efficacy in comparison to the best-known method for surveillance, randomly selected COVID-19 testing, has limited research. This study evaluated the trends and correlations present between SARS-CoV-2 in the effluent wastewater of a large university campus and random COVID-19 testing results published by the university. A moderately strong positive correlation was found between the random testing and WBE surveillance methods (r = 0.63), and this correlation was strengthened when accommodating for lost samples during the experiment (r = 0.74).

An exploration into the history of the 1918 Influenza Pandemic and the societal impacts associated with it, as well as an analysis of the developing SARS-CoV-2 pandemic today. Based upon these analyses, similarities were drawn between the two pandemics which suggested a lack of innovation in preventative measures over the last century. Given this conclusion a series of proposals were made that should be further explored to give not only the United States, but the world at large, a better chance in the face of the next emerging disease.

This thesis is a retrospective study analyzing data from patient implanted cardiac devices in other to determine the effect of SARS-CoV-2 on cardiac arrhythmias. This study is also the first, to the knowledge of the researchers, in which a cohort of undifferentiated hospitalized and non-hospitalized COVID patients were studied using data from cardiac implanted devices. The results from this study has shown that SARS-CoV-2 leads to statistically significant increases in arrhythmic burden, in particular increased overall arrhythmic episodes, increased VT episodes, increased AT Burden percent, and increased SVT Average Ventricular Rate, and a statistically significant decrease in VT Average Ventricular Rate.

Virus-like particles (VLPs) are optimum candidates for creating vaccines, as they are highly flexible, adaptable, safe, and similar to the structural proteins of the target cells. The COVID 19 pandemic has increased the need to create effective and safe vaccines that can be mass produced to stop the spread of COVID-19. Till now, various types of vaccine platforms have been utilized to create COVID-19 vaccines, each with unique characteristics and techniques. It is essential to use robust vaccine platforms that can deliver optimum results in a short period of time, with minimal risks. The structural proteins found in SARS-CoV-2, such as Spike (S) protein have been widely targeted to induce antibody response, also called a humoral response, which is a part of acquired immunity. The other structural proteins such as M (membrane) and E (envelope) can also be used as targets for antibodies. The S2 and glycoprotein (S full) can be used to induce an efficient IgG response. Therefore, the incorporation of structural proteins into VLPs can prove to be useful. Furthermore, double mosaic VLPs employs double epitopes, which can effectively cover the distances between the S proteins, thus optimizing the B cell activation process. This review describes the various developments that have taken place in the field of VLPs and more specifically, with regards to developing VLP vaccines against the SARS-CoV-2 virus.