Public perception of COVID-19 vaccines through analysis of Twitter content and users-Reference-Cited by-同舟云学术

Public perception of COVID-19 vaccines through analysis of Twitter content and users

Published:2023-07 Issue:33 Volume:41 Page:4844-4853
ISSN:0264-410X
Container-title:Vaccine
language:en
Short-container-title:Vaccine

Author:

Saleh Sameh N.^ORCID,McDonald Samuel A.^ORCID,Basit Mujeeb A.,Kumar Sanat,Arasaratnam Reuben J.,Perl Trish M.,Lehmann Christoph U.^ORCID,Medford Richard J.^ORCID

Publisher

Elsevier BV

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Veterinary,General Immunology and Microbiology,Molecular Medicine

Reference58 articles.

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2. COVID-19 vaccines;Forni;Cell Death Differ,2021

3. Associations of COVID-19 risk perception with vaccine hesitancy over time for Italian residents;Caserotti;Soc Sci Med,2021

4. Acceptance of the COVID-19 vaccine based on the health belief model: a population-based survey in Hong Kong;Wong;Vaccine,2021

5. Flattening the curve of COVID-19 vaccine rejection-an international overview;Feleszko;Vaccines (Basel),2021

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3. Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model;Frontiers in Public Health;2024-02-21

4. Exploring COVID-19 Vaccine Hesitancy Through Topic Modeling: A Systematic Literature Review;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

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