COVID-19 Vaccine Data Review and Reactions on Social Media
| dc.contributor.author | Bhandari, Shova | |
| dc.contributor.author | Mohamed, Mazen | |
| dc.contributor.author | Maupin, Jake | |
| dc.date.accessioned | 2022-01-19T15:59:07Z | |
| dc.date.available | 2022-01-19T15:59:07Z | |
| dc.date.issued | 2021-04-28 | |
| dc.description.abstract | The USA is one of the hardest hit areas by COVID-19. As of March 13th, 2021, 29.5M people were infected and 534K have lost their lives [1]. The USA government has authorized Pfizer and Moderna mRNA COVID-19 vaccines for the prevention of Coronavirus. However, these vaccines are allocated to certain groups and are not available to the public yet. Vaccine’s demand is skyrocketing as the United States of America is unable to contain the virus, and a new more contagious and deadlier Covid-19 variant is emerging. Given the impact of the COVID-19 pandemic, it is imperative to efficiently distribute vaccines to contain and eventually eradicate the virus. It is important to identify the hardest hit region/state that is still struggling to fight and protect their residence from viruses. The main question we are attempting to answer is how we can use COVID-19 data to identify focal points for COVID-19 breakout and formulate an efficient and speedy response. In this research we analyze COVID-19 vaccine trend. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12193 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.subject | Machine learning | |
| dc.subject | Vaccine | |
| dc.subject | COVID-19 | |
| dc.title | COVID-19 Vaccine Data Review and Reactions on Social Media | |
| dc.type | Working Paper |