Mason Archival Repository Service

COVID-19 Vaccine Data Review and Reactions on Social Media

Show simple item record

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.identifier.uri http://hdl.handle.net/1920/12193
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. en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject machine learning en_US
dc.subject vaccine en_US
dc.subject COVID-19 en_US
dc.title COVID-19 Vaccine Data Review and Reactions on Social Media en_US
dc.type Working Paper en_US


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

Search MARS


Browse

My Account

Statistics