Lauren Austin
Pronouns: She/Her/Hers
UROP Fellowship: Biomedical and Life Sciences
Research Mentor(s): Yongqun Oliver He, PhD
Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics
Presentation Date: Tuesday, July 28, 2020 | Session 1 | Presenter: 2
Authors: Lauren Austin, Anthony Huffman, Edison Ong, Yongqun He
Abstract
The COVID-19 pandemic is an unprecedented public health concern which has made the rapid development of a safe and efficient vaccine essential. SARS-CoV-2, the causative agent of COVID-19, is closely related to two other relevant beta-coronaviruses: SARS-CoV and MERS-CoV. Vaccines for these pathogens have been investigated in the past, thus providing a foundation for current SARS-CoV-2 vaccine research. We have collected information on 62 total vaccines for SARS-CoV, MERS-CoV, and SARS-CoV-2 using data obtained via literature search through PubMed. Information such as adverse events, immune response, and experimental model were entered into the Vaccine Investigation and Online Information Network (VIOLIN). Data was further modeled and analyzed using ontology modeling, employing the Ontology of Adverse Events (OAE), the Vaccine Ontology (VO), the Vaccine Investigation Ontology (VIO). Results of these analyses reveal similarities across many vaccine studies, including the suggestion that most vaccine regimens require multiple doses to induce a sufficient protective response, and that vaccination route often plays a significant role in vaccine efficacy. Patterns in adverse events occurring after vaccination provide insight into the relationship between vaccine design, particularly in the antigen used, and the possibility of harmful host immune responses. This information and analysis may all be used in the creation of a COVID-19 vaccine, ultimately aiding humanity in this public health crisis.
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Research Disciplines
Biomedical Sciences
