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Santangelo OE, Provenzano S, Di Martino G, Ferrara P. COVID-19 Vaccination and Public Health: Addressing Global, Regional, and Within-Country Inequalities. Vaccines (Basel) 2024; 12:885. [PMID: 39204011 PMCID: PMC11360777 DOI: 10.3390/vaccines12080885] [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: 06/29/2024] [Revised: 07/24/2024] [Accepted: 07/27/2024] [Indexed: 09/03/2024] Open
Abstract
The COVID-19 pandemic, with over 775 million cases and 7 million deaths by May 2024, has drastically impacted global public health and exacerbated existing healthcare inequalities. The swift development and distribution of COVID-19 vaccines have been critical in combating the virus, yet disparities in access to and administration of the vaccine have highlighted deep-seated inequities at global, regional, and national levels. Wealthier nations have benefited from early access to vaccines, while low- and middle-income countries (LMICs) have faced persistent shortages. Initiatives such as COVAX aimed to address these disparities, but challenges persist. Socioeconomic factors, education, ethnic identity, and the healthcare infrastructure play crucial roles in vaccine equity. For example, lower-income individuals often face barriers such as poor access to healthcare, misinformation, and logistical challenges, particularly in rural areas. Addressing these inequities requires a multifaceted approach, integrating national policies with local strategies to enhance vaccines' accessibility, counter misinformation, and ensure equitable distribution. Collaborative efforts at all levels are essential to promote vaccine equity and effectively control the pandemic, ensuring that all populations have fair access to life-saving vaccines. This review explores these complex issues, offering insights into the barriers and facilitators of vaccine equity and providing recommendations to promote more equitable and effective vaccination programs. With a focus on the different levels at which vaccination policies are planned and implemented, the text provides guidelines to steer vaccination strategies, emphasizing the role of international cooperation and local policy frameworks as keys to achieving equitable vaccination coverage.
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Affiliation(s)
- Omar Enzo Santangelo
- Regional Health Care and Social Agency of Lodi, ASST Lodi, 26900 Lodi, Italy
- School of Medicine and Surgery, University of Milan, 20122 Milan, Italy
| | | | - Giuseppe Di Martino
- Department of Medicine and Ageing Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
- Unit of Hygiene, Epidemiology and Public Health, Local Health Authority of Pescara, 65100 Pescara, Italy
| | - Pietro Ferrara
- Center for Public Health Research, University of Milan–Bicocca, 20900 Monza, Italy
- Laboratory of Public Health, IRCCS Istituto Auxologico Italiano, 20149 Milan, Italy
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Zhao T, Cai X, Zhang S, Wang M, Chen L, Wang J, Yu Y, Tao L, Xu X, Luo J, Wang C, Du J, Liu Y, Lu Q, Cui F. Differences in Vaccination Consultation Preferred by Primary Health Care Workers and Residents in Community Settings. Vaccines (Basel) 2024; 12:534. [PMID: 38793785 PMCID: PMC11126119 DOI: 10.3390/vaccines12050534] [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: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024] Open
Abstract
OBJECTIVE To evaluate the preference of primary HCWs and residents on vaccination consultation in community health services to provide evidence for vaccine hesitancy intervention strategies. METHODS A discrete choice model (DCM) was constructed to evaluate the preference difference between primary HCWs and residents on vaccination consultation in community health services in China during May-July 2022. RESULTS A total of 282 residents and 204 HCWs were enrolled in this study. The residents preferred consulting with an HCW-led approach (β = 2.168), with specialized content (β = 0.954), and accompanied by telephone follow-up (β = 1.552). In contrast, the HCWs preferred face-to-face consultation (β = 0.540) with an HCW-led approach (β = 0.458) and specialized content (β = 0.409), accompanied by telephone follow-up (β = 0.831). College residents and residents with underlying self-reported disease may be near-critically inclined to choose traditional consultation (an offline, face-to-face consultation with standardized content and more prolonged duration) rather than a new-media consulting group (an online consultation with specialized content within 5 min). Urban HCWs preferred long-term consultation groups (the resident-led offline consultation with follow-up lasting more than 5 min). In contrast, rural HCWs preferred efficient consultation (the HCW-led, short-duration, standardized offline consultation mode). CONCLUSION The selection preference for vaccine consultation reveals a gap between providers and demanders, with different groups exhibiting distinct preferences. Identifying these targeted gaps can help design more acceptable and efficient interventions, increasing their likelihood of success and leading to better resource allocation for policymakers to develop targeted vaccination policies.
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Affiliation(s)
- Tianshuo Zhao
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Xianming Cai
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Mingting Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Linyi Chen
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Juan Wang
- Jiuzhaigou Center for Disease Control and Prevention, Ngawa 623099, China;
| | - Yajie Yu
- Yilan Center for Disease Control and Prevention, Harbin 154899, China
| | - Liandi Tao
- Longxi Center for Disease Control and Prevention, Longxi 748199, China
| | - Xiaoxia Xu
- Chengguan Center for Disease Control and Prevention, Lanzhou 730030, China;
| | - Jing Luo
- Suzhou Center for Disease Control and Prevention, Suzhou 234099, China
| | - Chao Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Juan Du
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Qingbin Lu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Mastrovito B, Lardon A, Dubromel A, Nave V, Beny K, Dussart C. Understanding the gap between guidelines and influenza vaccination coverage in people with diabetes: a scoping review. Front Public Health 2024; 12:1360556. [PMID: 38706547 PMCID: PMC11066301 DOI: 10.3389/fpubh.2024.1360556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/09/2024] [Indexed: 05/07/2024] Open
Abstract
Background Diabetes affects millions of people worldwide, making them more vulnerable to infections, including seasonal influenza. It is therefore particularly important for those suffering from diabetes to be vaccinated against influenza each year. However, influenza vaccination coverage remains low in this population. This review primarily aims to identify the determinants of influenza vaccination in people with diabetes (T1D or T2D). Secondly, it aims to assess main recommendations for influenza vaccination, vaccine effectiveness, vaccination coverage, and how education and pharmacists can encourage uptake of the vaccine in the diabetic population. Methods A scoping review was conducted in January 2022 to systematically review evidence on influenza vaccination in people with diabetes using data from PubMed, Science Direct, and EM Premium with terms such as "Diabetes mellitus," "Immunization Programs," "Vaccination," and "Influenza Vaccines." Quality assessment and data extraction were independently conducted by two authors. Disagreements between the authors were resolved through discussion and consensus, and if necessary, by consulting a third author. Results Of the 333 records identified, 55 studies met the eligibility criteria for inclusion in this review. Influenza vaccination was recommended for people ≥6 months. Despite effectiveness evidence showing a reduction in mortality and hospitalizations in people with diabetes vaccinated vs. non-vaccinated ones, very few studies reported a coverage rate ≥ 75%, which is WHO's target objective. Determinants such as advanced age, presence of comorbidities and healthcare givers' advice were associated with increased vaccination uptake. On the contrary, fear of adverse reactions and concerns about vaccine effectiveness were significant barriers. Finally, education and pharmacists' intervention played a key role in promoting vaccination and increasing vaccination uptake. Conclusion Influenza vaccination coverage in people with diabetes remains low despite recommendations and evidence on vaccine effectiveness. Motivators and barriers as well as several socio-demographic and clinical factors have been identified to explain this trend. Efforts are now needed to increase the number of diabetics vaccinated against influenza, mainly through education and the involvement of healthcare givers.
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Affiliation(s)
- Brice Mastrovito
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
| | - Alexia Lardon
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
| | - Amelie Dubromel
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
| | - Viviane Nave
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
| | - Karen Beny
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
| | - Claude Dussart
- Hospices Civils de Lyon, Pharmacie et Stérilisation Centrales, Pharmacie centrale, Saint-Genis-Laval, France
- EA 4129 P2S Parcours Santé Systémique, Claude Bernard University Lyon 1, Lyon, France
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Xie W, Xiao J, Chen J, Huang H, Huang X, He S, Xu L. Impact of health education on promoting influenza vaccination health literacy in primary school students: a cluster randomised controlled trial protocol. BMJ Open 2024; 14:e080115. [PMID: 38609315 PMCID: PMC11033629 DOI: 10.1136/bmjopen-2023-080115] [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: 09/21/2023] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
INTRODUCTION Influenza is a major public health threat, and vaccination is the most effective prevention method. However, vaccination coverage remains suboptimal. Low health literacy regarding influenza vaccination may contribute to vaccine hesitancy. This study aims to evaluate the effect of health education interventions on influenza vaccination rates and health literacy. METHODS AND ANALYSIS This cluster randomised controlled trial will enrol 3036 students in grades 4-5 from 20 primary schools in Dongguan City, China. Schools will be randomised to an intervention group receiving influenza vaccination health education or a control group receiving routine health education. The primary outcome is the influenza vaccination rate. Secondary outcomes include health literacy levels, influenza diagnosis rate, influenza-like illness incidence and vaccine protection rate. Data will be collected through questionnaires, influenza surveillance and self-reports at baseline and study conclusion. ETHICS AND DISSEMINATION Ethical approval has been sought from the Ethics Committee of the School of Public Health, Sun Yat-sen University. Findings from the study will be made accessible to both peer-reviewed journals and key stakeholders. TRIAL REGISTRATION NUMBER NCT06048406.
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Affiliation(s)
- Weiguang Xie
- Center for Disease Control and Prevention of Dongguan City, Dongguan, Guangdong Province, China
| | | | | | - Hanzhong Huang
- Center for Disease Control and Prevention of Dongguan City, Dongguan, Guangdong Province, China
| | - Xuehua Huang
- Center for Disease Control and Prevention of Dongguan City, Dongguan, Guangdong Province, China
| | - Shaoyi He
- Sun Yat-Sen University, Guangzhou, China
| | - Lin Xu
- Sun Yat-Sen University, Guangzhou, China
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Lupu D, Tiganasu R. Does education influence COVID-19 vaccination? A global view. Heliyon 2024; 10:e24709. [PMID: 38314273 PMCID: PMC10837567 DOI: 10.1016/j.heliyon.2024.e24709] [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: 12/15/2022] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/06/2024] Open
Abstract
After the recent hard attempts felt on a global scale, notably in the health sector, the steady efforts of scientists have been materialized in maybe one of the most expected findings of the last decades, i.e. the launching of the COVID-19 vaccines. Although it is not our goal to plead for vaccination, as the decision in this regard is a matter of individual choice, we believe it is necessary and enlightening to analyze how one's educational status interferes with COVID-19 vaccination. There are discrepancies between world states vis-à-vis their well-being and their feedback to crises, and from the collection of features that can segregate the states in handling vaccination, in this paper, the spotlight is on education. We are referring to this topic because, generally, researches converge rather on the linkage between economic issues and COVID-19 vaccination, while education levels are less tackled in relation to this. To notice the weight of each type of education (primary, secondary, tertiary) in this process, we employ an assortment of statistical methods, for three clusters: 45 low-income countries (LICs), 72 middle-income countries (MICs) and 53 high-income countries (HICs). The estimates suggest that education counts in the COVID-19 vaccination, the tertiary one having the greatest meaning in accepting it. It is also illustrated that the imprint of education on vaccination fluctuates across the country groups scrutinized, with HICs recording the upper rates. The heterogeneity of COVID-19 vaccination-related behaviors should determine health authorities to treat this subject differently. To expand the COVID-19 vaccines uptake, they should be in an ongoing dialogue with all population categories and, remarkably, with those belonging to vulnerable communities, originated mostly in LICs. Education is imperative for vaccination, and it would ought to be on the schedule of any state, for being assimilated into health strategies and policies.
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Affiliation(s)
- Dan Lupu
- "Alexandru Ioan Cuza" University of Iasi, Romania, Faculty of Economics and Business Administration, Romania
| | - Ramona Tiganasu
- "Alexandru Ioan Cuza" University of Iasi, Faculty of Law, Centre for European Studies, Romania
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Jiang W, Lu C, Yan X, Tucker JD, Lin L, Li J, Larson HJ, Gong W, Wu D. Vaccine confidence mediates the association between a pro-social pay-it-forward intervention and improved influenza vaccine uptake in China: A mediation analysis. Vaccine 2024; 42:362-368. [PMID: 38103961 PMCID: PMC10789265 DOI: 10.1016/j.vaccine.2023.11.046] [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: 09/04/2023] [Revised: 11/05/2023] [Accepted: 11/22/2023] [Indexed: 12/19/2023]
Abstract
INTRODUCTION A Chinese clinical trial has demonstrated that a prosocial pay-it-forward intervention that offered subsidized vaccination and postcard messages effectively increased influenza vaccine uptake and vaccine confidence. This secondary analysis explored the potential mediating role of vaccine confidence on the association between a pay-it-forward intervention and influenza vaccine uptake, and how this might vary by individual annual income levels. METHODS Data from 300 participants (150 standard-of-care and 150 pay-it-forward participants) were included in the analysis. We conducted descriptive analysis of demographic and vaccine confidence variables. Multivariable regression and mediation analysis on interventions, vaccine confidence and vaccine uptake were conducted. A sub-group analysis was conducted to further understand whether associations between these variables vary by income levels (<=$1860 or >$1860). RESULTS The pay-it-forward intervention was significantly associated with greater levels of perceived influenza vaccine importance (adjusted odds ratio (aOR) = 3.60, 95 %CI: 1.77-7.32), effectiveness (aOR = 3.37, 95 %CI: 1.75-6.52) and safety (aOR = 2.20, 95 %CI: 1.17-4.15). Greater perceived influenza vaccine importance was associated with increased vaccine uptake (aOR = 8.51, 95 %CI: 3.04-23.86). The indirect effect of the pay-it-forward intervention on vaccination was significant through improved perceived influenza vaccine importance (indirect effect1 = 0.07, 95 %CI: 0.02-0.11). This study further revealed that, irrespective of the individual income level, the pay-it-forward intervention was associated with increased vaccine uptake when compared to the standard-of-care approach. CONCLUSIONS Pay-it-forward intervention may be a promising strategy to improve influenza vaccine uptake. Perceived confidence in vaccine importance appears to be a potential mediator of the association between pay-it-forward and vaccine uptake.
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Affiliation(s)
- Wenwen Jiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; School of Public Health of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chunlei Lu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; School of Public Health of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xumeng Yan
- University of North Carolina Project-China, Guangzhou, China; SESH (Social Entrepreneurship to Spur Health) Team, Guangzhou, China
| | - Joseph D Tucker
- SESH (Social Entrepreneurship to Spur Health) Team, Guangzhou, China; School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, Room 360, Keppel St, London WC1E 7HT, UK
| | - Leesa Lin
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Jing Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Heidi J Larson
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Wenfeng Gong
- China Country Office of the Bill and Melinda Gates Foundation, China
| | - Dan Wu
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, Room 360, Keppel St, London WC1E 7HT, UK; Department of Social Medicine and Health Education, School of Public Health of Nanjing Medical University, Nanjing, Jiangsu, China.
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Xie P, Shi X, Zhu B, Zhao W, Li X, Zou X, Liu G, Han X. COVID-19 vaccine uptake, reasons, and associated factors among older adults in Shenzhen, China. Hum Vaccin Immunother 2023; 19:2196914. [PMID: 37096742 PMCID: PMC10142320 DOI: 10.1080/21645515.2023.2196914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Abstract
Evidence is limited on the actual uptake of the coronavirus disease 2019 (COVID-19) vaccine among older adults, especially those with chronic diseases, during the pandemic. To examine COVID-19 vaccine uptake, reasons, and associated factor among older adults, a cross-sectional survey was conducted between September 24 and October 20, 2021 among older adults aged 60 and above in Shenzhen, China. Logistic regression analysis was used to examine associations of COVID-19 vaccine uptake with sociodemographic characteristics, pneumonia vaccination history, and participation in health education activities among older adults and among those with chronic diseases. Of the 951 participants, 82.8% reported being vaccinated against COVID-19 during the study period, but this proportion was relatively lower among adults aged 80 and above (62.7%) and those with chronic diseases (77.9%). The top-rated reasons for not being vaccinated included doctors not recommending it due to underlying diseases (34.1%), not being ready for it (18.3%), and failure to make an appointment (9.1%). General older adults who were aged below 70, had a high school and above education, were permanent residents of Shenzhen, were with good health and had pneumonia vaccination history were more likely to take the COVID-19 vaccination. Yet, among older adults with chronic diseases, other than age and permanent residency status, health status was the only significant indicator of COVID-19 vaccine uptake. Our study added to evidence that health condition is the critical barrier to the actual uptake of the COVID-19 vaccine among Chinese older adults, especially those aged 80 and above and those with chronic diseases.
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Affiliation(s)
- Pei Xie
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - XiuYuan Shi
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Bin Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Xiaoheng Li
- Shenzhen Center for Disease Prevention and Control, Shenzhen, China
| | - Xuan Zou
- Shenzhen Center for Disease Prevention and Control, Shenzhen, China
| | - Gang Liu
- Shenzhen Center for Disease Prevention and Control, Shenzhen, China
| | - Xinxin Han
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
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Singh D, Sinha A, Kanungo S, Pati S. Disparities in Coverage of Adult Immunization among Older Adults in India. Vaccines (Basel) 2022; 10:vaccines10122124. [PMID: 36560534 PMCID: PMC9787512 DOI: 10.3390/vaccines10122124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022] Open
Abstract
A lack of a universal adult immunization scheme in India poses a challenge to achieve universal health coverage. Healthcare disparity is one of the biggest challenges in low- and middle-income countries such as India. We aimed to estimate the disparities in coverage of various adult vaccines among older adults in India using nationally representative data. An observational analysis among 31,464 participants aged ≥60 years from the Longitudinal Ageing Study in India, 2017-2018, was conducted. Vaccination coverage across wealth quintiles and selected non-communicable diseases were reported as frequencies and weighted proportions along with their 95% confidence intervals as a measure of uncertainty. The highest coverage was of the diphtheria and tetanus vaccine (2.75%) followed by typhoid (1.84%), hepatitis B (1.82%), influenza (1.59%), and pneumococcal (0.74%). The most affluent groups had a higher coverage of all vaccines. Participants having high cholesterol, psychiatric conditions, and cancer had the highest coverage of all vaccines. Overall, a very low coverage of all vaccines was observed. The coverage was influenced by social determinants of health, depicting a disparity in accessing immunization. Hence, at-risk groups such as the deprived and multimorbid patients need to be covered under the ambit of free immunization to achieve universal health coverage.
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Wang J, Zhu H, Lai X, Zhang H, Huang Y, Feng H, Lyu Y, Jing R, Guo J, Fang H. From COVID-19 Vaccination Intention to Actual Vaccine Uptake: A Longitudinal Study Among Chinese Adults After Six Months of a National Vaccination Campaign. Expert Rev Vaccines 2022; 21:385-395. [PMID: 34974779 DOI: 10.1080/14760584.2022.2021076] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Mass COVID-19 vaccination campaigns have been launched globally, but the translation from vaccination intention to actual vaccine uptake by the public remains unknown, hindering the evaluation of present promotion strategies. METHODS Six months after the national vaccination campaign in China, a longitudinal study was conducted among the Chinese adult population, whose vaccination intention has been previously surveyed, to examine the vaccine uptake, the relationship between intention and actual vaccination, and factors associated with actual vaccination behaviors with multiplelogistic models. RESULTS Among the total 1047 participants, 81.8% (834/936) of those who had a prior COVID-19 vaccination intention before the campaign actually received the vaccine, while 61.3% (68/111) of those without a prior intention got vaccinated. Having a prior vaccination intention, believing in vaccine safety and receiving frequent recommendations from community sources were significant predictors of vaccine uptake, while the shortage of vaccine supply would reduce the likelihood of getting vaccinated. CONCLUSIONS Promotion interventions for vaccination intentions need to be launched well before the availability of the vaccine. Sustaining vaccination attitudes and intentions, reducing barriers (e.g. vaccine safety concerns, accessibility, affordability) and shaping vaccination behavior would be effective in closing the intention-action gap and motivating vaccine uptake.
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Affiliation(s)
- Jiahao Wang
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - He Zhu
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xiaozhen Lai
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Haijun Zhang
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | | | - Huangyufei Feng
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Yun Lyu
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Rize Jing
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Jia Guo
- School of Public Health, Peking University, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing, China.,Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Beijing, China.,Key Laboratory of Reproductive Health National Health Commission of the People's Republic of China, Beijing, China
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Wang J, Yuan B, Lu X, Liu X, Li L, Geng S, Zhang H, Lai X, Lyu Y, Feng H, Jing R, Guo J, Huang Y, Liang X, Yu W, Fang H. Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China. Hum Vaccin Immunother 2021; 17:4873-4888. [PMID: 34906026 PMCID: PMC8903911 DOI: 10.1080/21645515.2021.2009290] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/18/2021] [Indexed: 12/16/2022] Open
Abstract
A cross-sectional field survey was conducted from November 2020 to January 2021 among 7259 participants to investigate the public perception, willingness, and information sources for COVID-19 vaccination, with the focus on the elderly and non-communicable chronic disease (NCD) population. Multiple logistic regressions were performed to identify associated factors of the vaccination willingness. The willingness rate of the elderly to accept the future COVID-19 vaccine (79.08%) was lower than that of the adults aged 18-59 (84.75%). The multiple analysis didn't identify significant relationship between NCD status and the vaccination intention. The main reasons for vaccine hesitancy by the public were: concern for vaccine safety, low infection risk, waiting and seeing others getting vaccinated, concern of vaccine effectiveness and price. Their relative importance differed between adults aged 18-59 and the elderly, and between adults aged 18-59 with or without NCD. Perception for vaccination importance, vaccine confidence, and trust in health workers were significant predictors of the vaccination intention in both age groups. The elderly who perceived high infection risk or had trust in governments were more likely to accept the vaccine. Compared with the adults aged 18-59, the elderly used fewer sources for COVID-19 vaccination information and more trusted in traditional media and family, relatives, and friends for getting vaccination recommendations. To promote vaccine uptake, the vaccination campaigns require comprehensive interventions to improve vaccination attitude, vaccine accessibility and affordability, and tailor strategies to address specific concerns among different population groups and conducted via their trusted sources, especially for the elderly.
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Affiliation(s)
- Jiahao Wang
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Beibei Yuan
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xinran Lu
- School of Public Health, Peking University, Beijing, China
| | - Xiaoxue Liu
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Li Li
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shufan Geng
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haijun Zhang
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xiaozhen Lai
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yun Lyu
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Huangyufei Feng
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Rize Jing
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Jia Guo
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | | | - Xun Liang
- School of Information, Renmin University of China, Beijing, China
| | - Wenzhou Yu
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing, China
- Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Beijing, China
- Key Laboratory of Reproductive Health National Health Commission of the People’s Republic of China, Beijing, China
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11
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Li L, Jing R, Guo J, Song Y, Geng S, Wang J, Zhang H, Lai X, Lyu Y, Feng H, Yu W, Zhu H, Fang H. The associations of geographic location and perceived risk of infection with the intentions to get vaccinated against COVID-19 in China. Expert Rev Vaccines 2021; 20:1351-1360. [PMID: 34404320 DOI: 10.1080/14760584.2021.1969917] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Vaccines are a critical tool against coronavirus disease 2019 (COVID-19) pandemic, yet little is known regarding the associations of geographic location and perceived risk with the intentions to get vaccinated against COVID-19 in China. METHODS An on-site survey of adults aged 18 or older (n = 7261) was conducted from November to December, 2020 in China, and this survey selected six provinces based on the geographic location. RESULTS In the total sample, 82.5% reported that they would intend to get vaccinated against COVID-19. Compared with Hubei province, respondents' intentions to get vaccinated decreased by 70% in Zhejiang, 61% in Guangdong, 87% in Gansu, and 71% in Jilin, respectively. However, within Hubei province, compared with Wuhan city, respondents' intentions to get vaccinated in other cities were not significantly different. Respondents with higher perceived risk of infection were associated with increased odds of intentions to get vaccinated against COVID-19. CONCLUSION Our study identified priority geographic regions that need to pay attention on the vaccination campaign and help design effective immunization strategies to increase the vaccine uptake against COVID-19. More attention should be paid to adults residing farther from the epicenter of the outbreak and having lower perceived risk of infection.
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Affiliation(s)
- Li Li
- National Immunization Program, China Center for Disease Control and Prevention, Beijing, China
| | - Rize Jing
- School of Public Administration and Policy, Renmin University of China, Beijing, China.,China Center for Health Development Studies, Peking University, Beijing, China
| | - Jia Guo
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yifan Song
- National Immunization Program, China Center for Disease Control and Prevention, Beijing, China
| | - Shufan Geng
- National Immunization Program, China Center for Disease Control and Prevention, Beijing, China
| | - Jiahao Wang
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Haijun Zhang
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xiaozhen Lai
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yun Lyu
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Huangyufei Feng
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Wenzhou Yu
- National Immunization Program, China Center for Disease Control and Prevention, Beijing, China
| | - He Zhu
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing, China.,Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Peking University, Beijing, China
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12
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Zhang D, Cui Q, Xu J, Cai J, Lu X, Yang Y. Factors related with COVID-19 vaccination willingness among outpatients in China. Hum Vaccin Immunother 2021; 17:3963-3968. [PMID: 34348592 DOI: 10.1080/21645515.2021.1954441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND COVID-19 vaccination has been accepted widely. However, there are only a few reports on patients' willingness to be vaccinated. This study investigated the willingness of Chinese outpatients to accept COVID-19 vaccination as well as influencing factors. METHODS A cross-sectional survey was conducted in Jiangsu province, China in December 2020. Self-administered questionnaires, which were distributed to 625 outpatients among secondary hospitals, addressed demographic characteristics, sociological characteristics, and subjective reasons. There were 522 (83.5%) participants who gave completely valid responses. Logistic regression analysis was performed to explore the risk factors for willingness of COVID-19 vaccination. RESULTS 71.5% of participants were willing to receive the COVID-19 vaccine. "worried about contracting COVID-19" (49.6%) and "vaccines have just been introduced and need time to consider" (38.9%) were the main reasons for being willing and unwilling to receive COVID-19 vaccine, respectively. The logistic regression analysis showed that "vaccines are an effective way to prevent diseases" (OR = 5.07, 95%CI: 3.32-7.75), "the price you are willing to pay for non-free vaccines (yuan) (101-500 vs ≤100)″ (OR = 1.87, 95%CI: 1.16-3.02), "per capital monthly income(yuan) (>6000 vs ≤3000)"(OR = 2.13, 95%CI: 1.03-4.41), and "self- assessed health status (Good vs Bad)″ (OR = 1.71, 95%CI: 1.01-2.90) were the main risk factors for outpatients to be willing to receive the COVID-19 vaccine. CONCLUSIONS The willingness of Chinese outpatients to receive COVID-19 vaccine was not high. The government should do more to increase publicity of knowledge about COVID-19 vaccine thus increasing willingness to vaccinate, and provide free vaccine to eliminate the cost impact.
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Affiliation(s)
- Di Zhang
- School of Medicine, Jiangsu University, Zhenjiang, P. R. China
| | - Qi Cui
- School of Public Health, China Medical University, Shenyang, P. R. China
| | - Junyi Xu
- Demonstration Ward of General Practitioners, Zhenjiang First People's Hospital, Zhenjiang, P. R. China
| | - Jian Cai
- Hospital Branch, Zhenjiang First People's Hospital, Zhenjiang, P. R. China
| | - Xiaoping Lu
- Community Health Service Center of Dagang Street, Zhenjiang, P. R. China
| | - Yinguang Yang
- Hospital Branch, Zhenjiang First People's Hospital, Zhenjiang, P. R. China.,Community Health Service Center of Dagang Street, Zhenjiang, P. R. China
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13
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Ishimaru T, Okawara M, Ando H, Hino A, Nagata T, Tateishi S, Tsuji M, Matsuda S, Fujino Y. Gender differences in the determinants of willingness to get the COVID-19 vaccine among the working-age population in Japan. Hum Vaccin Immunother 2021; 17:3975-3981. [PMID: 34213406 DOI: 10.1080/21645515.2021.1947098] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Many factors are related to vaccination intentions. However, gender differences in the determinants of intention to get the coronavirus disease 2019 (COVID-19) vaccine have not been fully investigated. This study examined gender differences in the determinants of willingness to get the COVID-19 vaccine among the working-age population in Japan. We conducted a cross-sectional study of Japanese citizens aged 20-65 years using an online self-administered questionnaire in December 2020. Logistic regression analysis was performed. Among 27,036 participants (13,814 men and 13,222 women), the percentage who were willing to get the COVID-19 vaccine was lower among women than among men (33.0% vs. 41.8%). Age and education level showed a gender gap regarding the association with willingness to get the COVID-19 vaccine: men who were older or had a higher level of education were more willing to get the vaccine, whereas women aged 30-49 years and those with a higher level of education showed a relatively low willingness to get the vaccine. For both men and women, marriage, higher annual household income, underlying disease, current smoking, vaccination for influenza during the current season, and fear of COVID-19 transmission were linked to a higher likelihood of being willing to get the COVID-19 vaccine. These findings give important insight into identifying target groups in need of intervention regarding COVID-19 vaccination, especially among women. Providing education about COVID-19 and influenza vaccination in the workplace may be an effective strategy to increase COVID-19 vaccine uptake.
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Affiliation(s)
- Tomohiro Ishimaru
- Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Makoto Okawara
- Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Hajime Ando
- Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Ayako Hino
- Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Tomohisa Nagata
- Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Seiichiro Tateishi
- Department of Occupational Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Mayumi Tsuji
- Department of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Shinya Matsuda
- Department of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yoshihisa Fujino
- Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
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14
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Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean. Travel Med Infect Dis 2021; 41:102059. [PMID: 33848692 PMCID: PMC8063600 DOI: 10.1016/j.tmaid.2021.102059] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 11/22/2022]
Abstract
Background Determinants of vaccine acceptance are multifactorial, complex, and in most cases, context-dependent. We determined the prevalence of COVID-19 vaccination intention (VI) and fear of its adverse effects (FAE) as well as their associated factors in Latin America and the Caribbean (LAC). Methods We conducted a secondary cross-sectional analysis of a database collected by the University of Maryland and Facebook. We included participants aged 18 and over from LAC surveyed, January 15 to February 1, 2021. We evaluated VI, FAE, sociodemographic characteristics, COVID-19 symptomatology, compliance with community mitigation strategies, food and economic insecurity, mental health evaluation and the influence in VI when recommended by different stakeholders. We calculated crude and adjusted prevalence ratios with their 95%CIs. Results We analyzed 472,521 responses by Latin American adults, finding a VI and FAE prevalence of 80.0% and 81.2%, respectively. We found that female and non-binary genders were associated with a lower probability of VI and a higher probability of FAE. Besides, living in a town, village or rural area and economic insecurity was associated with a higher FAE probability. The fears of becoming seriously ill, a family member becoming seriously ill from COVID-19 and having depressive symptoms were associated with a higher probability of VI and FAE. Conclusion Eight out of 10 adults in LAC have VI and FAE. The factors identified are useful for the development of communication strategies to reduce FAE frequency. It is necessary to guarantee mass vaccination and support the return of economic activities.
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15
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Wang J, Feng Y, Hou Z, Lu Y, Chen H, Ouyang L, Wang N, Fu H, Wang S, Kan X, Liao Y, Lu G, Mao J, Lin J, Wu M. Willingness to receive SARS-CoV-2 vaccine among healthcare workers in public institutions of Zhejiang Province, China. Hum Vaccin Immunother 2021; 17:2926-2933. [PMID: 33848217 DOI: 10.1080/21645515.2021.1909328] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
This study aims to investigate healthcare workers' (HCWs) willingness to receive SARS-CoV-2 vaccine in Zhejiang and to discover the related influential factors. The survey was conducted in six regions of Zhejiang Province, China, and 13 hospitals and 12 Centers for Disease Control and Prevention (CDC) were incorporated into the survey research. Participants were healthcare workers and a total of 3726 questionnaires were collected online, of which 3634 (97.53%) were analyzed. The relationships between the factors and the willingness to get vaccinated against COVID-19 were computed as odds ratios (ORs) by means of multi-factor non-conditional logistic regression analysis. Of the 3634 participants, 2874 (79.09%) HCWs expressed their willingness to get vaccinated if the SARS-CoV-2 vaccine becomes available. Respondents who were younger than 50 years (OR = 1.502, 95% CI: 1.047-2.154), those who believed that they were somewhat likely (OR = 1.658, 95% CI: 1.297-2.120) or likely (OR = 1.893, 95% CI: 1.334-2.684) to get infected by SARS-COV-2 and those with a positive attitude toward the SARS-CoV-2 vaccine were more willing to get vaccinated. Furthermore, compared to doctors, nurses were more reluctant to get vaccinated. In addition, it was found that higher the education level, lower the willingness to get vaccinated. This study revealed that HCWs in Zhejiang Province had a high willingness to get vaccinated. Awareness about the vaccine's effectiveness and safety and the disease severity should be promoted among HCWs over 50 years of age and nurses to increase the willingness to get vaccinated.
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Affiliation(s)
- Jing Wang
- Department of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yaling Feng
- Department of Infectious Disease Control and Prevention, Lanxi Center for Disease Control and Prevention, Jinhua, China
| | - Zhigang Hou
- Department of Infectious Disease Control and Prevention, Jiaxing Center for Disease Control and Prevention, Jiaxing, China
| | - Yuzhong Lu
- Department of Infectious Disease Control and Prevention, Lishui Center for Disease Control and Prevention, Lishui, China
| | - Huihong Chen
- Department of Infectious Disease Control and Prevention, Shanmen Center for Disease Control and Prevention, Taizhou, China
| | - Le Ouyang
- Department of Infectious Disease Control and Prevention, Changxing Center for Disease Control and Prevention, Huzhou, China
| | - Nini Wang
- Department of Infectious Disease Control and Prevention, Bingjiang Center for Disease Control and Prevention, Hangzhou, China
| | - Haiping Fu
- Department of Infectious Disease Control and Prevention, Tongxiang Center for Disease Control and Prevention, Jiaxing, China
| | - Shuangqing Wang
- Department of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, China
| | - Xuwei Kan
- Department of Infectious Disease Control and Prevention, Anji Center for Disease Control and Prevention, Huzhou, China
| | - Yan Liao
- Department of Infectious Disease Control and Prevention, Shensi Center for Disease Control and Prevention, Zhoushan, China
| | - Guofei Lu
- Department of Infectious Disease Control and Prevention, Haining Center for Disease Control and Prevention, Jiaxing, China
| | - Jilai Mao
- Department of Infectious Disease Control and Prevention, Jiangshan Center for Disease Control and Prevention, Quzhou, China
| | - Junfen Lin
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Mengna Wu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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