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Chen Y, Shu Y, Zheng H, Sun C, Fu C. The 2 nd China Vaccinology Integrated Innovation & Teaching Development Conference: Promoting the construction of vaccinology discipline system. Hum Vaccin Immunother 2024; 20:2300157. [PMID: 38198292 DOI: 10.1080/21645515.2023.2300157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
The 2nd China Vaccinology Integrated Innovation & Teaching Development Conference was held in Sun Yat-sen University, Shenzhen, 18-19, November 2023. Over 200 participants in the field of Vaccinology gathered together to address challenges and issues relevant to vaccine education and training courses, research, and public health programs in China. The conference themed "Promoting the Integrated and Innovative Development of Vaccinology through Collective Efforts." The conference was organized by the China Association of Vaccine (CAV) and hosted by Vaccinology Education Professional Committee of CAV, and School of Public Health (Shenzhen), Sun Yat-sen University. Other partners included the Medical Virology Branch of the Chinese Medical Association, the editorial committee of the Chinese Journal of Preventive Medicine, Human Vaccines & Immunotherapeutics, and the People's Medical Publishing House. The 1st conference was held in Hangzhou, in October 2020.
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Affiliation(s)
- Yingqi Chen
- Institute of Infectious Disease and Vaccine, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuelong Shu
- National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hui Zheng
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Caijun Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Chuanxi Fu
- Institute of Infectious Disease and Vaccine, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
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Shen Z, Li Q, Wu J, Zhu D, Bai J, Ren R, Zhang J, Li Y, Wang M, Gu J, Li Y, Dong W, Wang H, Sun T, Yang F, Zhou X, Yang J, Tarimo CS, Ma M, Feng Y, Miao Y. Dynamic evolution of COVID-19 vaccine hesitancy over 2021-2023 among Chinese population: Repeated nationwide cross-sectional study. J Med Virol 2024; 96:e29800. [PMID: 39014958 DOI: 10.1002/jmv.29800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 06/29/2024] [Accepted: 07/04/2024] [Indexed: 07/18/2024]
Abstract
Globally, the rollout of COVID-19 vaccine had been faced with a significant barrier in the form of vaccine hesitancy. This study adopts a multi-stage perspective to explore the prevalence and determinants of COVID-19 vaccine hesitancy, focusing on their dynamic evolutionary features. Guided by the integrated framework of the 3Cs model (complacency, confidence, and convenience) and the EAH model (environmental, agent, and host), this study conducted three repeated national cross-sectional surveys. These surveys carried out from July 2021 to February 2023 across mainland China, targeted individuals aged 18 and older. They were strategically timed to coincide with three critical vaccination phases: universal coverage (stage 1), partial coverage (stage 2), and key population coverage (stage 3). From 2021 to 2023, the surveys examined sample sizes of 29 925, 6659, and 5407, respectively. The COVID-19 vaccine hesitation rates increased from 8.39% in 2021 to 29.72% in 2023. Urban residency, chronic condition, and low trust in vaccine developer contributed to significant COVID-19 vaccine hesitancy across the pandemic. Negative correlations between the intensity of vaccination policies and vaccine hesitancy, and positive correlations between vaccine hesitancy and long COVID, were confirmed. This study provides insights for designing future effective vaccination programs for emerging vaccine-preventable infectious X diseases.
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Affiliation(s)
- Zhanlei Shen
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Quanman Li
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Jian Wu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Dongfang Zhu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Junwen Bai
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Ruizhe Ren
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Jingbao Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Yi Li
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Meiyun Wang
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan, China
| | - Jianqin Gu
- School of Medicine, Southern University of Science and Technology, Guangdong, China
| | - Yinfei Li
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan, China
| | - Wenyong Dong
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan, China
| | - Haipeng Wang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tao Sun
- Department of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Fan Yang
- School of Public Health, Fudan University, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xue Zhou
- College of Health Management, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China
| | - Jian Yang
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Clifford Silver Tarimo
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Mingze Ma
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Yifei Feng
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Yudong Miao
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
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Młoźniak I, Zwierczyk U, Rzepecka E, Kobryn M, Wilk M, Duplaga M. Manifestation of Health Denialism in Attitudes toward COVID-19 Vaccination: A Qualitative Study. Vaccines (Basel) 2023; 11:1822. [PMID: 38140226 PMCID: PMC10747861 DOI: 10.3390/vaccines11121822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Science denialism is characterized by the refusal to accept existing consensus and available evidence. Typical strategies denialists employ include spreading conspiracies, selective use of information, relying on fake experts, or general fallacies in logic. A flood of misinformation, fake news, and conspiracy theories accompanied the COVID-19 pandemic. Simultaneously, it was a subject of many denialistic opinions, from denying the existence of the epidemic challenge to claims that questioned the safety and effectiveness of the COVID-19 vaccines. This study's main aim was to assess the manifestations of denialism in attitudes toward the preventive measures recommended during the pandemic, with a special focus on vaccination. In-depth interviews were conducted with fifty representatives of the general population, demonstrating diversified opinions about COVID-19 vaccines and other preventive behaviors. The interviews were performed face to face in participants' houses or at other places they identified as convenient. Some of the interviewees preferred to do the interview via teleconference. The interviews were carried out from November 2022 to March 2023. The interviewees were recruited initially by convenience, and in further stages, the snowball technique was used. The interviewees were residents of four main administrative districts in Poland. Out of 50 participants, 26 were males, 29 were between 18-40, 16 were inhabitants of rural areas, and 28 had a university level of education. The interviews were based on a semi-structured guide that addressed, in addition to views about the origin of the new coronavirus, respondents' attitudes toward vaccination and sanitary recommendation, the health status of interviewees, their use of healthcare services, and their health behaviors. The interviews were transcribed and analyzed with MAXQDA Analytics Pro 2022 software (Release 22.7.0). Thematic analysis (TA) was applied to the content generated from the interviews. Based on the uptake of the COVID-19 vaccine, the participants were divided into three groups: unvaccinated, hesitant, and vaccinated (18, 4, and 28 interviewees, respectively). The main themes were established based on the TA of the interviews: attitudes toward COVID-19 vaccination, perception of sources of information, and the origin of the new coronavirus. The first theme decidedly drew the greatest attention of the interviewees. There was also a clear relationship between vaccination status and the presence of denialist thinking among interviewees. Interestingly, the role of experts as a key source of information about the pandemic was underlined by study participants. However, the criteria for being an expert differed. The subject of the origin of a new coronavirus was not interesting to interviewees. The analysis of the adherence to preventive measures revealed an interplay of diversified attitudes and motivations. Individuals presenting denialist views most frequently abstained from COVID-19 vaccination. However, such views were also present among those who hesitated or even among those who had been vaccinated. Furthermore, denialism was only one of the determinants of adherence to preventive measures.
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Affiliation(s)
- Iwona Młoźniak
- Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland; (I.M.); (U.Z.); (M.K.); (M.W.)
| | - Urszula Zwierczyk
- Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland; (I.M.); (U.Z.); (M.K.); (M.W.)
| | - Elżbieta Rzepecka
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland;
| | - Mateusz Kobryn
- Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland; (I.M.); (U.Z.); (M.K.); (M.W.)
| | - Marta Wilk
- Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland; (I.M.); (U.Z.); (M.K.); (M.W.)
| | - Mariusz Duplaga
- Department of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland; (I.M.); (U.Z.); (M.K.); (M.W.)
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Ng QX, Ng CX, Ong C, Lee DYX, Liew TM. Examining Public Messaging on Influenza Vaccine over Social Media: Unsupervised Deep Learning of 235,261 Twitter Posts from 2017 to 2023. Vaccines (Basel) 2023; 11:1518. [PMID: 37896922 PMCID: PMC10610639 DOI: 10.3390/vaccines11101518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
Although influenza vaccines are safe and efficacious, vaccination rates have remained low globally. Today, with the advent of new media, many individuals turn to social media for personal health questions and information. However, misinformation may be rife, and health communications may be suboptimal. This study, therefore, aimed to investigate the public messaging related to influenza vaccines by organizations over Twitter, which may have a far-reaching influence. The theoretical framework of the COM-B (capacity, opportunity, and motivation component of behavior) model was used to interpret the findings to aid the design of messaging strategies. Employing search terms such as "flu jab", "flu vaccine", "influenza vaccine", and '" influenza jab", tweets posted in English and by organizations from 1 January 2017 to 1 March 2023 were extracted and analyzed. Using topic modeling, a total of 235,261 tweets by organizations over Twitter were grouped into four main topics: publicizing campaigns to encourage influenza vaccination, public education on the safety of influenza vaccine during pregnancy, public education on the appropriate age to receive influenza vaccine, and public education on the importance of influenza vaccine during pregnancy. Although there were no glaring pieces of misinformation or misconceptions, the current public messaging covered a rather limited scope. Further information could be provided about influenza and the benefits of vaccination (capability), promoting community, pharmacist-led influenza vaccination, and other avenues (opportunity), and providing greater incentivization and support for vaccination (motivation).
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Affiliation(s)
- Qin Xiang Ng
- Health Services Research Unit, Singapore General Hospital, Singapore 169608, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Clara Xinyi Ng
- NUS Yong Loo Lin School of Medicine, Singapore 117597, Singapore
| | - Clarence Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Dawn Yi Xin Lee
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow G12 8QQ, UK
| | - Tau Ming Liew
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Department of Psychiatry, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore
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Su Y, Zhang X, Zhang S. The impact of collective action dilemma on vaccine hesitancy: Evidence from China. Hum Vaccin Immunother 2023; 19:2256041. [PMID: 37747070 PMCID: PMC10521338 DOI: 10.1080/21645515.2023.2256041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/01/2023] [Indexed: 09/26/2023] Open
Abstract
Vaccine hesitancy has dramatically decreased the speed of vaccination and stalled global health development. While the factors influencing vaccine hesitancy and mitigation measures have been explored in depth by existing studies, research from the perspective of human interaction is lacking. Based on the theory of collective action, this paper analyzes how free riding behavior affects vaccine hesitancy and how the vaccine hesitancy caused by free riding behavior can be solved. Using 2,203 survey data sets from China, this paper examines the influence of the collective action dilemma - represented by free riding behavior - on COVID-19 vaccine hesitancy. The empirical results show that the existence of free riding behavior is an essential cause of vaccine hesitancy. Based on this conclusion, this paper discusses how to further alleviate the problem of vaccine hesitancy caused by collective action dilemmas by promoting cooperation. The findings of this paper may be helpful to promote various types of vaccines and further suggest that countries should assume the perspective of solving the collective action dilemma to achieve increased vaccination rates.
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Affiliation(s)
- Yiqing Su
- School of Public Policy and Management, Guangxi University, Nanning, China
| | - Xiaoting Zhang
- School of Public Policy and Management, Guangxi University, Nanning, China
| | - Shifei Zhang
- School of Public Policy and Management, Guangxi University, Nanning, China
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