Forecasting COVID-19 Vaccination Rates using Social Media Data-Reference-Cited by-同舟云学术

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Forecasting COVID-19 Vaccination Rates using Social Media Data

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
language:
Short-container-title:

Author:

Li Xintian¹^ORCID,Culotta Aron¹^ORCID

Affiliation:

1. Department of Computer Science, Tulane University, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587639

Reference25 articles.

1. ACS. 2019. Age and Sex. Retrieved Nov 22, 2021 from https://data.census.gov/cedsci/table?t=Age%20and%20Sex&g=0100000US%240400000&tid=ACSST5Y2019.S0101&hidePreview=true&moe=false

2. ACS. 2019. Poverty Status in the Past 12 Months. Retrieved Nov 22, 2021 from https://data.census.gov/cedsci/table?g=0100000US%240400000&tid=ACSST5Y2019.S1701&hidePreview=true&moe=false

3. ACS. 2019. Selected Characteristics of Health Insurance Coverage in the United States. Retrieved Nov 22, 2021 from https://data.census.gov/cedsci/table?t=Health%20Insurance&g=0100000US%240400000&tid=ACSST5Y2019.S2701&hidePreview=true&moe=false

4. CDC. 2021. COVID-19 Vaccination Trends in the United States, National and Jurisdictional. Retrieved Nov 22, 2021 from https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Trends-in-the-United-States-N/rh2h-3yt2

5. The Impact of the COVID-19 Pandemic on Social, Health, and Economy

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