%AWang, Zifu%AChen, Yudi%ALi, Yun%AKakkar, Devika%AGuan, Wendy%AJi, Wenying%ACain, Jacob%ALan, Hai%ASha, Dexuan%ALiu, Qian%AYang, Chaowei%BJournal Name: Vaccines; Journal Volume: 10; Journal Issue: 9 %D2022%I %JJournal Name: Vaccines; Journal Volume: 10; Journal Issue: 9 %K %MOSTI ID: 10396189 %PMedium: X %TPublic Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method %XThe COVID-19 pandemic has been sweeping across the United States of America since early 2020. The whole world was waiting for vaccination to end this pandemic. Since the approval of the first vaccine by the U.S. CDC on 9 November 2020, nearly 67.5% of the US population have been fully vaccinated by 10 July 2022. While quite successful in controlling the spreading of COVID-19, there were voices against vaccines. Therefore, this research utilizes geo-tweets and Bayesian-based method to investigate public opinions towards vaccines based on (1) the spatiotemporal changes in public engagement and public sentiment; (2) how the public engagement and sentiment react to different vaccine-related topics; (3) how various races behave differently. We connected the phenomenon observed to real-time and historical events. We found that in general the public is positive towards COVID-19 vaccines. Public sentiment positivity went up as more people were vaccinated. Public sentiment on specific topics varied in different periods. African Americans’ sentiment toward vaccines was relatively lower than other races. %0Journal Article