Twitter conversations predict the daily confirmed COVID-19 cases.
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ABSTRACT: As of writing this paper, COVID-19 (Coronavirus disease 2019) has spread to more than 220 countries and territories. Following the outbreak, the pandemic's seriousness has made people more active on social media, especially on the microblogging platforms such as Twitter and Weibo. The pandemic-specific discourse has remained on-trend on these platforms for months now. Previous studies have confirmed the contributions of such socially generated conversations towards situational awareness of crisis events. The early forecasts of cases are essential to authorities to estimate the requirements of resources needed to cope with the outgrowths of the virus. Therefore, this study attempts to incorporate the public discourse in the design of forecasting models particularly targeted for the steep-hi
SUBMITTER: Lamsal R
PROVIDER: S-EPMC9444159 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
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