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CovidVacMap: A Global Network Analysis of COVID19 Vaccine Distribution to Predict Breakthrough Cases
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The ASDRP Summer 2022 Semester Research Symposium and Expo showcases some of the original scientific findings of 625+ high school students, who conducted research across 80+ projects in a wide array of STEM fields. Students come from throughout Bay Area, across the U.S., and internationally! The Symposium features students presenting the research they completed throughout the summer during their participation in ASDRP.
Pragyaa Bodapati, Sathya Padmanabhan, Medha Bhattacharya, Aniket Dey, Ananya Pinnamaneni, and Roshni Koduri present their project "CovidVacMap: A Global Network Analysis of COVID-19 Vaccine Distribution to Predict Breakthrough Cases Among the Vaccinated Population" at the Summer 2022 Virtual Blitz Talks Symposium and Expo.
Abstract:
The ongoing COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple vaccines have been developed, underwent clinical trials, and distributed along with many boosters and doses. While these vaccines are currently being distributed the virus still spreads as we have not reached herd immunity. As the virus spreads new variants like enter.
This study aims to map the vaccination candidate connectome using network analysis with the Barabási-Albert model. This network science will provide scale-free networks that accurately model the powerful distribution of SARS-CoV-2 vaccines on a global scale. From there, the study will use R & Java Script as well as Gephi to visually model these networks. Along with modeling, we will use machine learning to predict the next pandemic among vaccinated candidates on a global scale.
Pragyaa Bodapati, Sathya Padmanabhan, Medha Bhattacharya, Aniket Dey, Ananya Pinnamaneni, and Roshni Koduri present their project "CovidVacMap: A Global Network Analysis of COVID-19 Vaccine Distribution to Predict Breakthrough Cases Among the Vaccinated Population" at the Summer 2022 Virtual Blitz Talks Symposium and Expo.
Abstract:
The ongoing COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple vaccines have been developed, underwent clinical trials, and distributed along with many boosters and doses. While these vaccines are currently being distributed the virus still spreads as we have not reached herd immunity. As the virus spreads new variants like enter.
This study aims to map the vaccination candidate connectome using network analysis with the Barabási-Albert model. This network science will provide scale-free networks that accurately model the powerful distribution of SARS-CoV-2 vaccines on a global scale. From there, the study will use R & Java Script as well as Gephi to visually model these networks. Along with modeling, we will use machine learning to predict the next pandemic among vaccinated candidates on a global scale.