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Li Z, Sun X. Social factors influencing behavioral intentions to vaccinate: personality traits and cues to action. Front Psychol 2025; 16:1481147. [PMID: 39917737 PMCID: PMC11798974 DOI: 10.3389/fpsyg.2025.1481147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 01/06/2025] [Indexed: 02/09/2025] Open
Abstract
Objectives This study integrates the Five-Factor Model (FFM) of personality traits with the Health Belief Model (HBM) to examine associations among personality traits, cues to action, and vaccination intentions. Method An online survey was conducted in April 2021, with 2,098 participants (mean age = 31.22 years, SD = 8.29) completing the study. The questionnaire assessed HBM constructs and the FFM personality traits. Spearman correlation coefficients were used to evaluate associations among ordinal variables, while Structural Equation Modeling (SEM) explored complex relationships between latent variables. Results The findings indicate that self-efficacy (β = 0.198) and perceived barriers (β = 0.515) exert the most significant direct positive influences on vaccination intentions. Cues to action, particularly recommendations from family members (β = 0.113) and doctors (β = 0.092), also significantly affect vaccination intentions. Notably, personality traits indirectly influence vaccination intentions through self-efficacy and perceived barriers. Furthermore, agreeableness most significantly affects family suggestions, while neuroticism strongly influences recommendations from authority figures and healthcare providers, with extraversion notably impacting suggestions from peers. Conclusions The study highlights the influence of personality traits on cues to action, with neuroticism linked to authority influence, extraversion to peer influence, and agreeableness to familial influence. These findings emphasize the importance of incorporating individual differences into public health policies and vaccination promotion strategies. Future research should further explore the effects of diverse personality traits and community-specific profiles on vaccination behaviors to enhance intervention effectiveness.
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Affiliation(s)
- Zeming Li
- Department of Social Medicine, School of Public Health, Guangxi Medical University, Guagnxi, Nanning, China
| | - Xinying Sun
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
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Luo C, Tung TH, Zhu JS. Hesitation towards COVID-19 booster vaccination among dialysis patients: a cross-sectional study in Taizhou, China. BMC Infect Dis 2024; 24:1095. [PMID: 39358705 PMCID: PMC11445873 DOI: 10.1186/s12879-024-09917-6] [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: 05/22/2024] [Accepted: 09/11/2024] [Indexed: 10/04/2024] Open
Abstract
PURPOSE This research aimed to explore hesitation towards the COVID-19 booster vaccine among dialysis patients and study the association between COVID-19 pandemic-induced health behavior and vaccination hesitancy. METHODS A self-administered online questionnaire evaluating dialysis patients' hesitation to take COVID-19 booster vaccination was conducted between March 24 and 22 April 2022 in Taizhou, China. The logistic regression method was applied to identify factors associated with vaccination hesitancy, and all data were analyzed using R software. RESULTS Of the 365 study participants, 272 (74.5%) individuals hesitated to take the booster dose. Health behavior was found to be a significant factor for hesitation to take COVID-19 vaccines, with OR (95% CI) of 1.09 (1.02-1.17). Influenza vaccination history was also significantly associated with the hesitation (OR (95% CI) = 0.39 (0.21-0.74)). In addition, participants with higher education levels exhibited lower vaccine hesitancy compared to those with junior secondary or below, with ORs (95% CIs) of 0.49 (0.27-0.91) for senior secondary and 0.35 (0.14-0.89) for junior college or above, respectively. CONCLUSION The proportion of hesitancy for taking the booster vaccination of the COVID-19 vaccine was high among dialysis patients. Health behaviors, influenza vaccination history, and education levels were risk factors in their vaccination hesitancy. These findings may aid efforts to help vaccinate people with underlying diseases against future pandemics.
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Affiliation(s)
- Chengwen Luo
- Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Tao-Hsin Tung
- Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China.
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, China.
| | - Jian-Sheng Zhu
- Department of Infectious Diseases, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China.
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Ariful Kabir KM, Tanimoto J. Assessing the instantaneous social dilemma on social distancing attitudes and vaccine behavior in disease control. Sci Rep 2024; 14:14244. [PMID: 38902279 PMCID: PMC11190193 DOI: 10.1038/s41598-024-64143-z] [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: 01/13/2024] [Accepted: 06/05/2024] [Indexed: 06/22/2024] Open
Abstract
In the face of infectious disease outbreaks, the collective behavior of a society can has a profound impact on the course of the epidemic. This study investigates the instantaneous social dilemma presented by individuals' attitudes toward vaccine behavior and its influence on social distancing as a critical component in disease control strategies. The research employs a multifaceted approach, combining modeling techniques and simulation to comprehensively assess the dynamics between social distancing attitudes and vaccine uptake during disease outbreaks. With respect to modeling, we introduce a new vaccination game (VG) where, unlike conventional VG models, a 2-player and 2-strategy payoff structure is aptly embedded in the individual behavior dynamics. Individuals' willingness to adhere to social distancing measures, such as mask-wearing and physical distancing, is strongly associated with their inclination to receive vaccines. The study reveals that a positive attitude towards social distancing tends to align with a higher likelihood of vaccine acceptance, ultimately contributing to more effective disease control. As the COVID-19 pandemic has demonstrated, swift and coordinated public health measures are essential to curbing the spread of infectious diseases. This study underscores the urgency of addressing the instantaneous social dilemma posed by individuals' attitudes. By understanding the intricate relationship between these factors, policymakers, and healthcare professionals can develop tailored strategies to promote both social distancing compliance and vaccine acceptance, thereby enhancing our ability to control and mitigate the impact of disease outbreaks in the future.
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Affiliation(s)
- K M Ariful Kabir
- Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
| | - Jun Tanimoto
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka, 816-8580, Japan
- Faculty of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka, 816-8580, Japan
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Madran B, Kayı İ, Beşer A, Ergönül Ö. The COVID-19 Vaccine Hesitancy Among Healthcare Workers: An Exploration of Hesitancy Reasons and Suggestions to Improve Vaccination Rates. INFECTIOUS DISEASES & CLINICAL MICROBIOLOGY 2024; 6:83-92. [PMID: 39005704 PMCID: PMC11243779 DOI: 10.36519/idcm.2024.375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 06/19/2024] [Indexed: 07/16/2024]
Abstract
Objective Vaccine hesitancy among healthcare workers (HCWs) represents a significant challenge and threat in pandemics. This study aims to identify the predictive factors influencing COVID-19 vaccine hesitancy among HCWs and offer strategies to increase the COVID-19 vaccination rate in healthcare settings. Materials and Methods This study constitutes the qualitative portion (second part) of a mixed-methods doctoral thesis employing an explanatory design. It was conducted in two distinct pandemic hospitals and involved 23 vaccine-hesitant HCWs. To conduct the interviews, the researchers developed a semi-structured interview form based on the Health Belief Model (HBM). Results Upon analyzing the in-depth interviews, we identified six primary reasons for vaccine hesitancy and four different sub-reasons that reinforce vaccine hesitancy. We also collected four key suggestions from vaccine-hesitant HCWs that could potentially persuade them to receive the COVID-19 vaccine. Conclusion This study's findings, which encompass the identification of reasons for COVID-19 vaccine hesitancy, clarification of underlying factors contributing to hesitancy towards the COVID-19 vaccines, and gathering suggestions from HCWs on how to persuade them to get vaccinated, hold significant value for guiding vaccination campaigns during potential future pandemics.
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Affiliation(s)
- Bahar Madran
- Department of Public Health, Koç University School of Medicine, İstanbul, Türkiye
- Koç University İşbank Center for Infectious Diseases, İstanbul, Türkiye
| | - İlker Kayı
- Department of Public Health, Koç University School of Medicine, İstanbul, Türkiye
| | - Ayşe Beşer
- Public Health Nursing, Koç University School of Nursing, İstanbul, Türkiye
| | - Önder Ergönül
- Koç University İşbank Center for Infectious Diseases, İstanbul, Türkiye
- Department of Infectious Diseases and Clinical Microbiology, Koç University School of Medicine, İstanbul, Türkiye
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Hu Y, Huang J, Zhao D, Zhang C, Xia J, Lu XM. Effect of safety and security equipment on patient and visitor violence towards nurses in multiple public hospitals of China during the COVID-19 pandemic: a retrospective, difference-in-difference analysis. BMJ Open 2024; 14:e078598. [PMID: 38296297 PMCID: PMC10831433 DOI: 10.1136/bmjopen-2023-078598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES This study aimed to analyse whether safety and security equipment decreased patient and visitor violence (PVV) towards nurses in the COVID-19 period and quantify to what extent safety and security equipment affects PVV. DESIGN Controlled before and after study and difference-in-difference (DID) analysis. SETTING A large hospital medical group, consisting of three public tertiary teaching hospitals, namely, Xinjiekou Branch, Huilongguan Branch and Xinlongze Branch of Beijing Jishuitan Hospital, located in the west and north parts of Beijing, China. PARTICIPANTS A panel of nine departments recruited using two-step sampling method, administered online surveys in 2021 and 2022. A total of 632 eligible nurses participated in the survey in 2021 and 725 eligible nurses in 2022. MEASURES We assessed impacts of the safety and security equipment on the PVV. The policy had been enacted in June 2020, and the corresponding measures were established after mid-December 2020, and therefore, we use a DID design to evaluate changes in nurses' PVV incidence. Departments are classified as either department installed or non installed, and nurses are classified based on their department. RESULTS Within the treatment group, the incidence of physical PVV significantly decreased from 13.8% in 2020 to 2.0% in 2021. In the control group, the incidence of physical PVV increased from 0.6% in 2020 to 2.7% in 2021. The application of the safety and security equipment decreased the incidence of physical PVV by 13.93% (95% CI: -23.52% to -4.34%). In contrast, no difference was observed between the treatment and control groups for the incidence of psychological PVV (6.23%, 95% CI: -11.56% to 24.02%) and overall PVV (0.88, 95% CI: -20.90% to 22.66%). CONCLUSION The safety and security equipment reduced the incidence of physical PVV towards nurses. For hospital managers in public hospitals, longer-term strategies roadmap for PVV prevention measures are needed to create a more supportive work environment in employees.
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Affiliation(s)
- Yanzhen Hu
- Department of Nursing, Beijing Jishuitan Hospital, Capital Medical University, Beijing, Beijing, China
| | - Ju Huang
- Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dan Zhao
- Department of Nursing, Beijing Jishuitan Hospital, Capital Medical University, Beijing, Beijing, China
| | - Cheng Zhang
- Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jinghua Xia
- Department of Nursing, Beijing Jishuitan Hospital, Capital Medical University, Beijing, Beijing, China
| | - Xue-Mei Lu
- Department of Nursing, Beijing Jishuitan Hospital, Capital Medical University, Beijing, Beijing, China
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Guo Z, Li X, Bian J, Zhang W, Lu Z, Sun Y, Gao Y, Fu L, Zou H. Young adults' intention to encourage COVID-19 vaccination among their grandparents: A nationwide cross-sectional survey of college students in China. Vaccine X 2024; 16:100439. [PMID: 38283624 PMCID: PMC10818072 DOI: 10.1016/j.jvacx.2024.100439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/29/2023] [Accepted: 01/12/2024] [Indexed: 01/30/2024] Open
Abstract
Background During a vaccination plateau phase, traditional vaccination promotion strategies such as the mobilization of government and community appear to have limited impact on expanding the coverage. New strategies to promote vaccination are needed especially in older adults. Our study aimed to assess college students' intention to encourage coronavirus disease 2019 (COVID-19) vaccination among their grandparents and its correlates. Methods A cross-sectional survey was conducted in China from May to June 2022. We collected information on socio-demographics of college students and their grandparents, constructs of health belief model (HBM) and theory of planned behavior (TPB) for college students, and college students' intention to encourage COVID-19 vaccination among their grandparents. Multilevel logistic regression models were performed to assess correlates of intention. Results We enrolled 2681 college students who reported information for 6302 grandparents. 2272 students (84.7 %) intended to encourage COVID-19 vaccination for 4744 (75.3 %) grandparents. Intention was associated with having received a booster dose of COVID-19 vaccine (AOR 3.28, 95 % CI 1.68-6.42), having ever lived with their grandparents (2.07, 1.46-2.93), and having grandparents who regularly went outdoors (2.85, 1.70-4.76). HBM and TPB models showed that college students who had higher levels of perceived susceptibility (1.79, 1.12-2.87), perceived severity (1.52, 1.12-2.06) of COVID-19 among their grandparents, and higher levels of subjective norms (2.88, 1.61-5.15) were more likely to have the intention. Conclusion College students' intention to encourage COVID-19 vaccination among their grandparents was high. It may be potentially viable to engage college students in promoting COVID-19 and other routine vaccination among older adults.
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Affiliation(s)
- Zhihui Guo
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Xinyi Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Junye Bian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Weijie Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Zhen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Yinghui Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Yanxiao Gao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Leiwen Fu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Huachun Zou
- School of Public Health, Fudan University, Shanghai, China
- School of Public Health, Southwest Medical University, Luzhou, China
- Kirby Institute, University of New South Wales, Sydney, Australia
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Wang Q, Chen J, Jiang N, Zhang Y, Wang T, Cao H, Liu Y, Yang Y, Chen L, Wang J. Parents' intention to vaccinate their preschool children against COVID-19: Combining the health belief model and the theory of planned behavior. Hum Vaccin Immunother 2023; 19:2261171. [PMID: 37806670 PMCID: PMC10644801 DOI: 10.1080/21645515.2023.2261171] [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: 06/29/2023] [Accepted: 09/17/2023] [Indexed: 10/10/2023] Open
Abstract
The vaccination rate of COVID-19 in preschool children is low, and parents' intention to vaccinate their children is also low due to multiple factors. This study aimed to establish an integrated model based on the Health Belief Model (HBM)and Theory of Planned Behavior (TPB), to explore the factors influencing parents' intention to vaccinate their preschool children with the first and second doses of COVID-19 vaccines. A total of 1264 parents of preschool children from 10 kindergartens participated in this study. Hierarchical multiple logistic regression was used to analyze the intention separately. For the integrated model with the first dose of vaccine of COVID-19, introducing the HBM variable in model 1 explained 33.98% of the variance (F = 398.71, p < .001), then upon adding the TPB variable in model 2, the explanation of variance increased to 41.93% (F = 491.94, p < .001) and parents' intention were associated with their perceived barriers, cues to action, and subjective norms. For the integrated model with the second dose of vaccine of COVID-19, introducing the HBM variable in Model 1 explained 23.76% of the variance (F = 68.82, p < .001), then upon adding the TPB variable in model 2, the explanation of variance increased to 26.67% (F = 77.24, p < .001), and parents' intention was associated with cues to action and subjective norms. The combination of the two theories improves the explanatory power of parents' intention to vaccinate their preschool children against COVID-19, and provides a basis for the development of effective interventions for vaccination of COVID-19 for preschool children.
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Affiliation(s)
- Quqing Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Jiayue Chen
- Huacao Community Health Service Center, Minhang District, Shanghai, China
| | - Nan Jiang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Yuxin Zhang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Ting Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - He Cao
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Yongyi Liu
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Yonghui Yang
- Huacao Community Health Service Center, Minhang District, Shanghai, China
| | - Linli Chen
- Minhang District Center for Disease Control and Prevention, Minhang District, Shanghai, China
| | - Jiwei Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
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Liu J, Lu S, Zheng H. Analysis of Differences in User Groups and Post Sentiment of COVID-19 Vaccine Hesitators in Chinese Social-Media Platforms. Healthcare (Basel) 2023; 11:healthcare11091207. [PMID: 37174749 PMCID: PMC10177948 DOI: 10.3390/healthcare11091207] [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: 01/31/2023] [Revised: 04/18/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
(1) Background: The COVID-19 epidemic is still global and no specific drug has been developed for COVID-19. Vaccination can both prevent infection and limit the spread of the epidemic. Eliminating hesitation to the COVID-19 vaccine and achieving early herd immunity is a common goal for all countries. However, efforts in this area have not been significant and there is still a long way to go to eliminate vaccine hesitancy. (2) Objective: This study aimed to uncover differences in the characteristics and sentiments of COVID-19 vaccine hesitators on Chinese social-media platforms and to achieve a classification of vaccine-hesitant groups. (3) Methods: COVID-19-vaccine-hesitation posts and user characteristics were collected on the Sina Microblog platform for posting times spanning one year, and posts were identified for hesitation types. Logistic regression was used to conduct user-group analysis. The differences in user characteristics between the various types of COVID-19 vaccine posts were analysed according to four user characteristics: gender, address type, degree of personal-information disclosure, and whether they followed health topics. Sentiment analysis was conducted using sentiment analysis tools to calculate the sentiment scores and sentiment polarity of various COVID-19 vaccine posts, and the K-W test was used to uncover the sentiment differences between various types of COVID-19-vaccine-hesitation posts. (4) Results: There are differences in the types of COVID-19-vaccine-hesitation posts posted by users with different characteristics, and different types of COVID-19-vaccine-hesitation posts differ in terms of sentiment. Differences in user attributes and user behaviors are found across the different COVID-19-vaccine-hesitation types. Ultimately, two COVID-19-vaccine-hesitant user groups were identified: Body-related and Non-bodily-related. Users who posted body-related vaccine-hesitation posts are more often female, disclose more personal information and follow health topics on social-media platforms. Users who posted non-bodily-related posts are more often male, disclose less personal information, and do not follow health topics. The average sentiment score for all COVID-19-vaccine-hesitant-type posts is less than 0.45, with negative-sentiment posts outweighing positive- and neutral-sentiment posts in each type, among which the "Individual rights" type is the most negative. (5) Conclusions: This paper complements the application of user groups in the field of vaccine hesitation, and the results of the analysis of group characteristics and post sentiment can help to provide an in-depth and comprehensive analysis of the concerns and needs of COVID-19 vaccine hesitators. This will help public-health agencies to implement more targeted strategies to eliminate vaccine hesitancy and improve their work related to the COVID-19 vaccine, with far-reaching implications for COVID-19-vaccine promotion and vaccination.
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Affiliation(s)
- Jingfang Liu
- School of Management, Shanghai University, No. 20, Chengzhong Road, Jiading District, Shanghai 201899, China
| | - Shuangjinhua Lu
- School of Management, Shanghai University, No. 20, Chengzhong Road, Jiading District, Shanghai 201899, China
| | - Huiqin Zheng
- School of Management, Shanghai University, No. 20, Chengzhong Road, Jiading District, Shanghai 201899, China
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Liu B, You J, Huang L, Chen M, Shen Y, Xiong L, Zheng S, Huang M. The 100 Most-Cited Articles in COVID-19 Vaccine Hesitancy Based on Web of Science: A Bibliometric Analysis. Infect Drug Resist 2023; 16:2625-2646. [PMID: 37159828 PMCID: PMC10163891 DOI: 10.2147/idr.s408377] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/22/2023] [Indexed: 05/11/2023] Open
Abstract
Purpose To perform a bibliometric analysis of the 100 most-cited articles (T100 articles) on COVID-19 vaccine hesitancy to characterize current trends. Methods The data of the bibliometric analysis were retrieved from the Web of Science Core Collection (WoSCC) database on January 29, 2023, and the results were sorted in descending order by citations. Two researchers independently extracted the characteristics of the top 100 cited articles, including title, author, citations, publication year, institution, country, author keywords, Journal Cited Rank, and impact factor. Excel and VOSviewer were used to analyze the data. Results The T100 articles ranged from 79 to 1125 citations, with a mean of 208.75. The T100 articles were contributed by 29 countries worldwide, of which the USA ranked first with 28 articles and 5417 citations. The T100 articles were published in 61 journals; the top three citations were VACCINES, NATURE MEDICINE, and EUROPEAN JOURNAL OF EPIDEMIOLOGY, and the number of citations was 2690, 1712, and 1644, respectively. Professor Sallam, M(n=4) from Jordan, is the author who participated in the most published articles. Catholic University of the Sacred Heart (n=8) had the most T100 articles. Conclusion It is the first bibliometric analysis of the T100 articles in the field of COVID-19 vaccine hesitancy. We carefully analyzed and described the characteristics of these T100 articles, which provide ideas for further strengthening COVID-19 vaccination and fighting against the epidemic in the future.
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Affiliation(s)
- Bo Liu
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Junjie You
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Lingyi Huang
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Mengling Chen
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Yushan Shen
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Longyu Xiong
- School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
| | - Silin Zheng
- Nursing Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
- Correspondence: Silin Zheng, Nursing Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China, Tel +86 13002866667, Email
| | - Min Huang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China
- Min Huang, Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People’s Republic of China, Tel +86 18982482624, Email
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Maimaiti H, Lu J, Guo X, Zhou L, Hu L, Lu Y. Vaccine Uptake to Prevent Meningitis and Encephalitis in Shanghai, China. Vaccines (Basel) 2022; 10:vaccines10122054. [PMID: 36560463 PMCID: PMC9787460 DOI: 10.3390/vaccines10122054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 12/05/2022] Open
Abstract
Multiple vaccines may prevent meningitis and encephalitis (M/E). In China, the meningococcal vaccine and Japanese encephalitis vaccine (JEV) have been included in the expanded program of immunization (EPI). The pneumococcal vaccine, Haemophilus influenzae type b (Hib) vaccine, rotavirus vaccine, and enterovirus 71 (EV-71) vaccine are non-EPI vaccines and are self-paid. We aim to investigate the uptake of these M/E vaccines in children and the related knowledge and health beliefs among family caregivers. A total of 1011 family caregivers with children aged 1-6 years in Shanghai, China were included in the study. The uptake of the pneumococcal vaccine, Hib-containing vaccine, rotavirus vaccine, and EV-71 vaccine remained at 44.0-48.1% in children, compared with the higher uptake of the meningococcal vaccine (88.8%) and JEV (87.1%). Moreover, family caregivers had limited knowledge on the M/E pathogens and possible vaccines. Their health beliefs were moderate to high. Then, a health belief model (HBM) and a structural equation model were established. The uptake of four non-EPI vaccines was significantly influenced by family income (β = 0.159), knowledge (β = 0.354), self-efficacy (β = 0.584), and perceived susceptibility (β = 0.212) within an HBM. Therefore, it warrants further improving the uptake rate for these non-EPI vaccines to prevent potential M/E in children. A specific health promotion may empower the caregivers' decision-making on childhood vaccination.
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Affiliation(s)
- Hairenguli Maimaiti
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jia Lu
- Department of Immunization Planning, Minhang District Center for Disease Control and Prevention, Shanghai 201101, China
| | - Xiang Guo
- Institute of Immunization Planning, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Lu Zhou
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China
| | - Linjie Hu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yihan Lu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China
- Correspondence:
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