Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data

被引:4
|
作者
Cheng, Tao [1 ]
Han, Baoyan [1 ]
Liu, Yunzhe [1 ]
机构
[1] UCL, SpaceTimeLab, Civil Environm & Geomatic Engn, London, England
关键词
COVID-19; vaccine; social media; sentiment analysis; vaccination intention; sociodemographic analysis; spatiotemporal analysis; SOCIAL MEDIA; BIAS;
D O I
10.3389/fpubh.2023.1193750
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives: Vaccination is widely regarded as the paramount approach for safeguarding individuals against the repercussions of COVID-19. Nonetheless, concerns surrounding the efficacy and potential adverse effects of these vaccines have become prevalent among the public. To date, there has been a paucity of research investigating public perceptions and the adoption of COVID-19 vaccines. Therefore, the present study endeavours to address this lacuna by undertaking a spatiotemporal analysis of sentiments towards vaccination and its uptake in England at the local authority level, while concurrently examining the sociodemographic attributes at the national level. Methods: A sentiment analysis of Twitter data was undertaken to delineate the distribution of positive sentiments and their demographic correlates. Positive sentiments were categorized into clusters to streamline comparison across different age and gender demographics. The relationship between positive sentiment and vaccination uptake was evaluated using Spearman's correlation coefficient. Additionally, a bivariate analysis was carried out to further probe public sentiment towards COVID-19 vaccines and their local adoption rates. Result: The results indicated that the majority of positive tweets were posted by males, although females expressed higher levels of positive sentiment. The age group over 40 dominated the positive tweets and exhibited the highest sentiment polarity. Additionally, vaccination uptake was positively correlated with the number of positive tweets and the age group at the local authority level. Conclusion: Overall, public opinions on COVID-19 vaccines are predominantly positive. The number of individuals receiving vaccinations at the local authority level is positively correlated with the prevalence of positive attitudes towards vaccines, particularly among the population aged over 40. These findings suggest that targeted efforts to increase vaccination uptake among younger populations, particularly males, are necessary to achieve widespread vaccination coverage.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Analysis of Public Sentiment on COVID-19 Vaccination Using Twitter
    Jayasurya, Gutti Gowri
    Kumar, Sanjay
    Singh, Binod Kumar
    Kumar, Vinay
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 9 (04) : 1101 - 1111
  • [2] Sentiment Analysis and Opinion Mining about COVID-19 vaccines of Twitter Data
    Jahanbin, Kia
    Rahmanian, Vahid
    Sharifi, Nader
    Rahmanian, Fereshteh
    PAKISTAN JOURNAL OF MEDICAL & HEALTH SCIENCES, 2021, 15 (01): : 694 - 695
  • [3] Public Sentiment Analysis on Twitter Data during COVID-19 Outbreak
    Abu Kausar, Mohammad
    Soosaimanickam, Arockiasamy
    Nasar, Mohammad
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (02) : 415 - 422
  • [4] Sentiment Analysis on COVID-19 Twitter Data
    Vijay, Tanmay
    Chawla, Ayan
    Dhanka, Balan
    Karmakar, Purnendu
    2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (IEEE - ICRAIE-2020), 2020,
  • [5] Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline
    Karagkiozidou, Makrina
    Koukaras, Paraskevas
    Tjortjis, Christos
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2022, PART II, 2022, 647 : 350 - 359
  • [6] Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico
    Bernal, Claudia
    Bernal, Miguel
    Noguera, Andrei
    Ponce, Hiram
    Avalos-Gauna, Edgar
    ADVANCES IN SOFT COMPUTING (MICAI 2021), PT II, 2021, 13068 : 96 - 107
  • [7] COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA
    Sattar, Naw Safrin
    Arifuzzaman, Shaikh
    APPLIED SCIENCES-BASEL, 2021, 11 (13):
  • [8] Monitoring sociodemographic inequality in COVID-19 vaccination uptake in England: a national linked data study
    Dolby, Ted
    Finning, Katie
    Baker, Allan
    Fowler-Dowd, Leigh
    Khunti, Kamlesh
    Razieh, Cameron
    Yates, Thomas
    Nafilyan, Vahe
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2022, 76 (07) : 646 - 652
  • [9] Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis
    Liu, Siru
    Liu, Jialin
    VACCINE, 2021, 39 (39) : 5499 - 5505
  • [10] COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India
    Vishwakarma, Anushtha
    Chugh, Mitali
    SOCIAL NETWORK ANALYSIS AND MINING, 2023, 13 (01)