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Pereira A, Pinho C, Oliveira A, Santos R, Felgueiras M, Martins JP. Vaccination Promotion Strategies in the Elderly: Systematic Review and Meta-Analysis. Vaccines (Basel) 2024; 12:1395. [PMID: 39772056 PMCID: PMC11728613 DOI: 10.3390/vaccines12121395] [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: 11/18/2024] [Revised: 12/05/2024] [Accepted: 12/07/2024] [Indexed: 01/16/2025] Open
Abstract
Background: The World Health Organization estimates that currently available vaccines prevent 2 to 3 million deaths worldwide each year. Preventing infectious diseases is an important public health priority to ensure healthy ageing and improve quality of life. This study's aim is to identify the best strategies to increase vaccination coverage in the elderly. Methods: A systematic review and meta-analysis were carried out, including a bibliographic search in the PubMed and Scopus databases. Studies in older people (60 years or older) on any type of intervention aimed at increasing vaccination coverage were included. The effect of the intervention was measured using the odds ratio (OR). Results: After applying the selection criteria, 20 studies were identified: 17 on influenza vaccines and 3 on other vaccines. Educational strategies obtained an OR = 1.63 (95% CI: 1.22-2.19, I2 = 0.59). Medical counselling obtained an OR = 3.13 (95% CI: 0.60-16.37, I2 = 0.95). Writing strategies obtained an OR = 1.14 (95% CI: 0.99-1.32, I2 = 0.93). Few studies reported the effect of free vaccination. Conclusions: The educational strategies proved to be more effective than the others in this study. Free vaccination and age may have important roles. Further studies are needed as research in this area remains limited.
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Affiliation(s)
- Ana Pereira
- ESS, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal; (A.P.); (C.P.)
| | - Cláudia Pinho
- ESS, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal; (A.P.); (C.P.)
- REQUIMTE/LAQV, ESS, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal
| | - Adriana Oliveira
- Centre for Organisational and Social Studies of the Polytechnic Institute of Porto (CEOS.PP), Accounting and Business School (ISCAP), Porto Polytechnic Institute, Porto, 4465-004 São Mamede de Infesta, Portugal;
| | - Rui Santos
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal; (R.S.); (M.F.)
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
| | - Miguel Felgueiras
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal; (R.S.); (M.F.)
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
| | - João P. Martins
- ESS, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal; (A.P.); (C.P.)
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1150-082 Lisboa, Portugal
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Sibanda M, Burnett RJ, Godman B, Meyer JC. Vaccine uptake, associated factors and reasons for vaccination status among the South African elderly; findings and next steps. PLoS One 2024; 19:e0314098. [PMID: 39630746 PMCID: PMC11616853 DOI: 10.1371/journal.pone.0314098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 11/05/2024] [Indexed: 12/07/2024] Open
Abstract
OBJECTIVES The elderly are particularly prone to complications from a number of vaccine-preventable diseases. However, there are limited data on vaccine uptake for this vulnerable population in South Africa. Consequently, this study investigated influenza, pneumococcal and shingles vaccine uptake among elderly people in South Africa; reasons for their vaccination status; and factors associated with their uptake. METHODS Cross-sectional study using an interviewer-administered questionnaire to survey 985 consenting adults aged ≥65 years in 2018. Participants were recruited from across South Africa. Bivariate analysis was used to identify socio-demographic variables associated with vaccine uptake, with multivariate logistic regression analysis used to identify key factors associated with vaccine uptake. RESULTS Influenza vaccine uptake was 32.3% (318/985), with uptake highest in those aged 85-90 years. Pneumococcal and shingles vaccine uptake was 3.8% (37/985) and 0.4% (4/985) respectively, being highest among those aged >90 years. The strongest statistically significant predictors for influenza vaccination were previous influenza vaccination (OR: 8.42 [5.61-12.64]); identifying as 'Coloured' (OR: 8.39 [3.98-17.69]); and residing in Gauteng Province (OR: 5.44 [3.30-9.02]). The strongest statistically significant predictors of receiving pneumococcal vaccination included receiving influenza vaccination (OR = 10.67 [3.27-37.83]); residing in the Western Cape Province (OR: 7.34 [1.49-36.22]); identifying as 'Indian' (OR: 5.85 [2.53-13.55]); and having a university education (OR: 5.56 [1.25-24.77]). Statistically significant barriers to receiving influenza vaccination included following the Traditional African religion (OR: 0.08 [0.01-0.62]) and residing in Limpopo Province (OR: 0.16 [0.04-0.71]). The main reasons for non-vaccination were considering influenza as a mild illness (36.6%; 242/661), and lack of knowledge about the pneumococcal (93.4%; 886/948) and shingles (95.2%; 934/981) vaccines. CONCLUSION Vaccine uptake for all vaccines was sub-optimal, with multiple non-modifiable factors predicting vaccine uptake. These pre-COVID-19 data provide a baseline for measuring the effectiveness of future interventions to increase vaccine uptake and safeguard the health of the elderly.
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Affiliation(s)
- Mncengeli Sibanda
- Department of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
- South African Vaccination and Immunisation Centre, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
| | - Rosemary J. Burnett
- Department of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
- South African Vaccination and Immunisation Centre, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
| | - Brian Godman
- Department of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
- Department of Pharmacoepidemiology, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Johanna C. Meyer
- Department of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
- South African Vaccination and Immunisation Centre, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria, South Africa
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Lin H, Xu J, Abuduwayiti R, Ji Y, Shi Y, Zhang L, Shi Z, Ni M, Tao S, Yang B, Liu S, Galárraga O, Chang C, Cao W, Mo PKH. Promoting Influenza Vaccination Uptake Among Chinese Older Adults Based on Information-Motivation-Behavioral Skills Model and Conditional Economic Incentive: Protocol for Randomized Controlled Trial. Healthcare (Basel) 2024; 12:2361. [PMID: 39684983 DOI: 10.3390/healthcare12232361] [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: 10/21/2024] [Revised: 11/19/2024] [Accepted: 11/22/2024] [Indexed: 12/18/2024] Open
Abstract
Background: Influenza poses a substantial health burden, especially among older adults in China. While vaccination is one of the most effective preventions, influenza vaccine uptake rates among Chinese older adults remain low. This study examines the individual and combined effects of behavioral interventions based on the Information-Motivation-Behavioral Skills (IMB) model and economic incentives in promoting influenza vaccine uptake among older adults living in China. Methods: The study will recruit 640 older adults living in eight communities that have not been covered by the free influenza vaccination policy. These eight communities (as clusters), stratified by urban and rural, will be randomized to four parallel arms, including a usual care arm, an IMB-based behavioral intervention arm, a conditional economic incentive arm, and a combined behavioral-economic arm. The interventions will start from the beginning of the flu season and last for about one month. Specifically, the IMB-based behavioral intervention encompasses health education brochures, healthcare provider-led lectures, interactive quizzes, and personalized consultations. The exact number of economic incentives is conditional on the timing of vaccination (a higher amount for early immunization) and the number of people within a household to be vaccinated at the same appointment (a higher amount for more people). The primary outcome is the influenza vaccination rate. Data will be gathered through vaccination records and questionnaires covering IMB-based vaccination cognitions. Mixed-effects models will be used to analyze the outcome of vaccination rate, reporting difference-in-differences estimates with 95% confidence intervals. Conclusions: The results of this study have the potential to inform influenza vaccination program scaleup among older adults who are not yet covered by the free influenza vaccination policy. Ethics and dissemination: Ethics approval has been granted by the ethics commission of Peking University Health Science Centre (IRB00001052-24090). Participants will be required to sign a written consent form. Findings will be reported in conferences and peer-reviewed publications in accordance with the recommendations of the Consolidated Standards of Reporting Trials. Registration number: This study was registered at the Chinese Clinical Trial Registry (ChiCTR2400090229).
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Affiliation(s)
- Hao Lin
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Jiannan Xu
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | | | - Ying Ji
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Center for Healthy Aging, Peking University Health Science Center, Beijing 100191, China
| | - Yuhui Shi
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Center for Healthy Aging, Peking University Health Science Center, Beijing 100191, China
| | - Lanchao Zhang
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Zhengli Shi
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Mojun Ni
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Sihong Tao
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Bohao Yang
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Shuhan Liu
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Omar Galárraga
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI 02903, USA
| | - Chun Chang
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Center for Healthy Aging, Peking University Health Science Center, Beijing 100191, China
| | - Wangnan Cao
- School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Center for Healthy Aging, Peking University Health Science Center, Beijing 100191, China
| | - Phoenix Kit-Han Mo
- School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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Hong S, Son Y, Lee M, Lee JH, Park J, Lee H, Dragioti E, Fond G, Boyer L, López Sánchez GF, Smith L, Tully MA, Rahmati M, Choi YS, Lee YJ, Yeo SG, Woo S, Yon DK. Association Between Sociodemographic Factors and Vaccine Acceptance for Influenza and SARS-CoV-2 in South Korea: Nationwide Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e56989. [PMID: 39629701 PMCID: PMC11615830 DOI: 10.2196/56989] [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: 02/01/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 12/08/2024] Open
Abstract
Background The imperative arises to study the impact of socioeconomic factors on the acceptance of SARS-CoV-2 and influenza vaccines amid changes in immunization policies during the COVID-19 pandemic. Objective To enhance targeted public health strategies and improve age-specific policies based on identified risk factors, this study investigated the associations between sociodemographic factors and vaccination behaviors during the COVID-19 pandemic, with emphasis on age-specific vaccine cost policies. Methods This study analyzed data from the Korean Community Health Survey 2019-2022 with 507,964 participants to investigate the impact of age-specific policies on vaccination behaviors during the pandemic period. Cohorts aged 19-64 years and 65 years or older were stratified based on age (years), sociodemographic factors, and health indicators. The cohorts were investigated to assess the influence of relevant risk factors on vaccine acceptance under the pandemic by using weighted odds ratio and ratio of odds ratio (ROR). Results Among 507,964 participants, the acceptance of the SARS-CoV-2 vaccine (COVID-19 vaccine) was higher among individuals with factors possibly indicating higher socioeconomic status, such as higher education level (age 19-64 years: ROR 1.34; 95% CI 1.27-1.40 and age ≥65 years: ROR 1.19; 95% CI 1.01-1.41) and higher income (age 19-64 years: ROR 1.67; 95% CI 1.58-1.76 and age ≥65 years: ROR 1.21; 95% CI 1.06-1.38) for both age cohorts compared to influenza vaccine acceptance before the pandemic. In the context of influenza vaccination during the pandemic, the older cohort exhibited vaccine hesitancy associated with health care mobility factors such as lower general health status (ROR 0.89; 95% CI 0.81-0.97). Conclusions SARS-CoV-2 vaccination strategies should focus on reducing hesitancy among individuals with lower social participation. To improve influenza vaccine acceptance during the pandemic, strategies for the younger cohort should focus on individuals with lower social participation, while efforts for the older cohort should prioritize individuals with limited access to health care services.
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Affiliation(s)
- Seohyun Hong
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Jun Hyuk Lee
- Health and Human Science, University of Southern California, Los Angeles, CA, United States
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
| | - Elena Dragioti
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Guillaume Fond
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Laurent Boyer
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Guillermo Felipe López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, Northern Ireland, United Kingdom
| | - Masoud Rahmati
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Yong Sung Choi
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Young Joo Lee
- Department of Obstetrics and Gynecology, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Seung Geun Yeo
- Department of Otolaryngology-Head and Neck Surgery, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea, 82 2 6935 2476, 82 504 478 0201
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
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Xu X, Liu S, Wang X, Huang A, Li J, Zhou Y, Wang L, Qin Y, Ma Y, An S, Liu J, Tang L, Yin Z, Wang F. Acceptance of Rubella-Containing Vaccine and Factors Associated with Acceptance among Women of Reproductive Age in China: A Cross-Sectional Study. Vaccines (Basel) 2024; 12:1153. [PMID: 39460320 PMCID: PMC11511206 DOI: 10.3390/vaccines12101153] [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: 08/26/2024] [Revised: 09/26/2024] [Accepted: 09/30/2024] [Indexed: 10/28/2024] Open
Abstract
Objectives: To investigate the acceptance and factors influencing acceptance of rubella-containing vaccine (RCV) among women of reproductive age in Guangdong, Henan, Hubei, Liaoning, Shanxi, Sichuan and Zhejiang provinces of China. Methods: Using a stratified sampling method, we selected one urban and one rural community health services center in each of two cities in seven provinces. From these centers, we recruited women 15-49 years of age to complete a questionnaire on their willingness to receive RCV and factors influencing willingness. The survey instrument was adapted from the behavioral and social drivers (BeSD) of vaccination survey tool developed by the World Health Organization. Results: Among 1286 participants, 981 (76.3%) were willing to receive RCV. Awareness of rubella ranged from 12.4% to 70.6%. Willingness to receive RCV differed significantly by region, occupation, vaccination history, and awareness. All latent variables of the structural equation model (SEM) were positively correlated with willingness, and all standardized paths were statistically significant (p < 0.001). Thinking and Feeling had direct positive effects on Social Processes (β = 0.789) and Practical Issues (β = 0.542), thereby indirectly affecting motivation. Conclusions: Women of reproductive age had high willingness to receive the rubella vaccination, but their general awareness of rubella was relatively low. It is necessary to strengthen the health education of women of reproductive age regarding rubella to improve RCV coverage.
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Affiliation(s)
- Xia Xu
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Siyu Liu
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xiaoqi Wang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Aodi Huang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jun Li
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China;
| | - Yang Zhou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China;
| | - Lei Wang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China;
| | - Yong Qin
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China;
| | - Yu Ma
- Shaanxi Provincial Center for Disease Control and Prevention, Xian 710054, China;
| | - Shuyi An
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China;
| | - Jun Liu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China;
| | - Lin Tang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zundong Yin
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Fuzhen Wang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.); (S.L.); (X.W.); (A.H.); (L.T.); (Z.Y.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Zhang X, Zheng P, Chen X, Li A, Na L. Combating the Co-Circulation of SARS-CoV-2 and Seasonal Influenza: Identifying Multi-Dimensional Factors Associated with the Uptake of Seasonal Influenza Vaccine among a Chinese National Sample. Vaccines (Basel) 2024; 12:1005. [PMID: 39340036 PMCID: PMC11435884 DOI: 10.3390/vaccines12091005] [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: 07/02/2024] [Revised: 08/23/2024] [Accepted: 08/26/2024] [Indexed: 09/30/2024] Open
Abstract
INTRODUCTION The co-circulation of COVID-19 and seasonal influenza highlighted the importance of promoting influenza vaccination. However, the influenza vaccination rate among the Chinese population is low and requires further promotion. This study examined multi-dimensional factors, such as knowledge of seasonal influenza, health perceptions, cues to action, patient-provider relationships, and COVID-19 pandemic-related factors, in relation to the uptake of the seasonal influenza vaccine (SIV) among the Chinese population. METHODS A cross-sectional, self-administered online survey using a quota sampling method was conducted among Chinese adults 18 years and older between June and August 2022. Multivariate logistic regression was performed to explore factors associated with the 2021 SIV behavior. RESULTS A total of 3161 individuals from different regions of China were included in this study. The multivariate logistic regression demonstrated that perceived severity of influenza, perceived barriers to taking SIV, cues to action, a stable relationship with providers, worry about contracting COVID-19 in immunization settings, non-pharmaceutical interventions (NPIs), and awareness of the influenza vaccine in protecting against COVID-19 were significantly associated with the SIV uptake. CONCLUSIONS This study examined multi-dimensional factors that may influence SIV uptake. Health promotion programs should incorporate multi-dimensional factors, including personal and environmental factors, related to SIV promotion during the co-circulation period.
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Affiliation(s)
- Xiaoying Zhang
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Pinpin Zheng
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Xuewei Chen
- School of Community Health Sciences, Counseling & Counseling Psychology, Oklahoma State University, Stillwater, OK 74078, USA
| | - Ang Li
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Lixin Na
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
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Zhang T, Han Y, Huang W, Wei H, Zhao Y, Shu L, Guo Y, Ye B, Zhou J, Liu J. Neutralizing antibody responses against contemporary and future influenza A(H3N2) viruses in paradoxical clades elicited by repeated and single vaccinations. J Med Virol 2024; 96:e29743. [PMID: 38884419 DOI: 10.1002/jmv.29743] [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: 03/06/2024] [Revised: 05/16/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024]
Abstract
As one of the most effective measures to prevent seasonal influenza viruses, annual influenza vaccination is globally recommended. Nevertheless, evidence regarding the impact of repeated vaccination to contemporary and future influenza has been inconclusive. A total of 100 subjects singly or repeatedly immunized with influenza vaccines including 3C.2a1 or 3C.3a1 A(H3N2) during 2018-2019 and 2019-2020 influenza season were recruited. We investigated neutralization antibody by microneutralization assay using four antigenically distinct A(H3N2) viruses circulating from 2018 to 2023, and tracked the dynamics of B cell receptor (BCR) repertoire for consecutive vaccinations. We found that vaccination elicited cross-reactive antibody responses against future emerging strains. Broader neutralizing antibodies to A(H3N2) viruses and more diverse BCR repertoires were observed in the repeated vaccination. Meanwhile, a higher frequency of BCR sequences shared among the repeated-vaccinated individuals with consistently boosting antibody response was found than those with a reduced antibody response. Our findings suggest that repeated seasonal vaccination could broaden the breadth of antibody responses, which may improve vaccine protection against future emerging viruses.
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MESH Headings
- Humans
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza Vaccines/immunology
- Influenza Vaccines/administration & dosage
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/blood
- Antibodies, Viral/immunology
- Influenza, Human/prevention & control
- Influenza, Human/immunology
- Influenza, Human/virology
- Adult
- Cross Reactions/immunology
- Male
- Female
- Vaccination
- Middle Aged
- Young Adult
- Neutralization Tests
- Receptors, Antigen, B-Cell/immunology
- Receptors, Antigen, B-Cell/genetics
- Adolescent
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Affiliation(s)
- Ting Zhang
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Weijuan Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hejiang Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingze Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Liumei Shu
- Department of Health Care, Beijing Daxing District Hospital, Beijing, China
| | - Yaxin Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Beiwei Ye
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Jianfang Zhou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Liu
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
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8
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Eiden AL, Barratt J, Nyaku MK. A review of factors influencing vaccination policies and programs for older adults globally. Hum Vaccin Immunother 2023; 19:2157164. [PMID: 36656057 PMCID: PMC9980618 DOI: 10.1080/21645515.2022.2157164] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Policies and programs to increase vaccine coverage rates among adults 50 years of age or older are limited and vaccine uptake is often suboptimal. Our review evaluated evidence on the effectiveness and success of adult-targeted vaccination interventions and identified literature gaps. Literature was retrieved (2021) from PubMed, Embase, and Google Scholar databases. Outcomes assessed included data on an intervention's effectiveness and impact on vaccine uptake. Interventions were characterized thematically: affordability (n = 9), awareness (n = 25), and vaccination access (n = 6); and included influenza, pneumococcal, tetanus-containing, and herpes zoster vaccines. Interactive interventions directed toward patients, including provider-led educational initiatives and provider recommendations showed more positive associations than less interactive interventions, such as posters and reminder-recall letters. Provider interventions, including awareness campaigns, incentives, affordability efforts, or vaccination site expansion generally showed positive associations. Combining interventions was found to be successful across several studies. Barriers and interventions varied for population subgroups, therefore, tailoring programs is critical.
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Affiliation(s)
- Amanda L Eiden
- Center for Observational and Real-World Evidence, Merck & Co., Inc., Rahway, NJ, USA
| | - Jane Barratt
- International Federation on Ageing, Toronto, ON, Canada
| | - Mawuli K Nyaku
- Center for Observational and Real-World Evidence, Merck & Co., Inc., Rahway, NJ, USA
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9
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Guo M, Li J, Wang Y, Chen G, Chen R, Wang L. The association between influenza vaccination and the perception of COVID-19 as well as COVID-19 vaccination behavior among community residents in Anhui province, China. Hum Vaccin Immunother 2023; 19:2275464. [PMID: 37941303 PMCID: PMC10653700 DOI: 10.1080/21645515.2023.2275464] [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: 07/24/2023] [Accepted: 10/23/2023] [Indexed: 11/10/2023] Open
Abstract
Influenza is a significant public health threat associated with high morbidity and mortality globally. This study investigated the influenza vaccination rate (IVR) among community residents in Anhui province, China, and explored the association between participants' influenza vaccination and their key sociodemographic characteristics, perception of COVID-19 as well as COVID-19 vaccination behavior. We found that the IVR among respondents in Anhui province was 27.85% in 2020. Regression analyses revealed that males (OR = 1.41, 95% CI: 1.01 ~ 1.96), residents with above middle school education (OR = 1.88, 95% CI: 1.04 ~ 3.39), considered themselves likely to be infected with COVID-19 (OR = 1.53, 95% CI: 1.04 ~ 2.24), had received the COVID-19 vaccine (OR = 9.85, 95% CI: 3.49 ~ 27.78), did not plan to receive COVID-19 vaccine in the future (OR = 1.70, 95% CI: 1.17 ~ 2.47), and had no adverse reactions after COVID-19 vaccination (OR = 1.54, 95% CI: 1.04 ~ 2.27) were associated with a higher IVR. The acceptance of influenza vaccination was mainly associated with respondents' gender, education, perception of COVID-19, history of COVID-19 vaccination in city and countryside community residents in Anhui province.
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Affiliation(s)
- Mengjie Guo
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
| | - Jian’an Li
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
| | - Yan Wang
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
| | - Guimei Chen
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
| | - Ren Chen
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
| | - Li Wang
- School of Health Service Management, Anhui Medical University, Hefei, Anhui Province, China
- Key Laboratory of Health Economics and Policy Research, National Health and Wellness Commission, Jinan, Shandong Province, China
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10
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Ishoso DK, Mafuta E, Danovaro-Holliday MC, Ngandu C, Menning L, Cikomola AMW, Lungayo CL, Mukendi JC, Mwamba D, Mboussou FF, Manirakiza D, Yapi MD, Ngabo GF, Riziki RB, Aluma ADL, Tsobeng BN, Mwanga C, Otomba J, Lulebo A, Lusamba P, Nimpa MM. Reasons for Being "Zero-Dose and Under-Vaccinated" among Children Aged 12-23 Months in the Democratic Republic of the Congo. Vaccines (Basel) 2023; 11:1370. [PMID: 37631938 PMCID: PMC10459103 DOI: 10.3390/vaccines11081370] [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: 06/12/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
(1) Introduction: The Democratic Republic of the Congo (DRC) has one of the largest cohorts of un- and under-vaccinated children worldwide. This study aimed to identify and compare the main reasons for there being zero-dose (ZD) or under-vaccinated children in the DRC. (2) Methods: This is a secondary analysis derived from a province-level vaccination coverage survey conducted between November 2021 and February 2022; this survey included questions about the reasons for not receiving one or more vaccines. A zero-dose child (ZD) was a person aged 12-23 months not having received any pentavalent vaccine (diphtheria-tetanus-pertussis-Hemophilus influenzae type b (Hib)-Hepatitis B) as per card or caregiver recall and an under-vaccinated child was one who had not received the third dose of the pentavalent vaccine. The proportions of the reasons for non-vaccination were first presented using the WHO-endorsed behavioral and social drivers for vaccination (BeSD) conceptual framework and then compared across the groups of ZD and under-vaccinated children using the Rao-Scott chi-square test; analyses were conducted at province and national level, and accounting for the sample approach. (3) Results: Of the 51,054 children aged 12-23 m in the survey sample, 19,676 ZD and under-vaccinated children were included in the study. For the ZD children, reasons related to people's thinking and feelings were cited as 64.03% and those related to social reasons as 31.13%; both proportions were higher than for under-vaccinated children (44.7% and 26.2%, respectively, p < 0.001). Regarding intentions to vaccinate their children, 82.15% of the parents/guardians of the ZD children said they wanted their children to receive "none" of the recommended vaccines, which was significantly higher than for the under-vaccinated children. In contrast, "practical issues" were cited for 35.60% of the ZD children, compared to 55.60% for the under-vaccinated children (p < 0.001). The distribution of reasons varied between provinces, e.g., 12 of the 26 provinces had a proportion of reasons for the ZD children relating to practical issues that was higher than the national level. (4) Conclusions: reasons provided for non-vaccination among the ZD children in the DRC were largely related to lack of parental/guardian motivation to have their children vaccinated, while reasons among under-vaccinated children were mostly related to practical issues. These results can help inform decision-makers to direct vaccination interventions.
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Affiliation(s)
- Daniel Katuashi Ishoso
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
- Kinshasa School of Public Health (KSPH), University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo; (E.M.); (A.L.); (P.L.)
| | - Eric Mafuta
- Kinshasa School of Public Health (KSPH), University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo; (E.M.); (A.L.); (P.L.)
| | - M. Carolina Danovaro-Holliday
- Immunization, Analytics and Insights (IAI), Department of Immunization, Vaccines and Biologicals (IVB), World Health Organization (WHO), 1211 Geneva, Switzerland; (M.C.D.-H.); (L.M.)
| | - Christian Ngandu
- National Institute of Public Health, Kinshasa 01209, Democratic Republic of the Congo; (C.N.); (D.M.)
| | - Lisa Menning
- Immunization, Analytics and Insights (IAI), Department of Immunization, Vaccines and Biologicals (IVB), World Health Organization (WHO), 1211 Geneva, Switzerland; (M.C.D.-H.); (L.M.)
| | - Aimé Mwana-Wabene Cikomola
- Expanded Program of Immunization, Kinshasa 01208, Democratic Republic of the Congo; (A.M.-W.C.); (C.L.L.); (J.-C.M.)
| | - Christophe Luhata Lungayo
- Expanded Program of Immunization, Kinshasa 01208, Democratic Republic of the Congo; (A.M.-W.C.); (C.L.L.); (J.-C.M.)
| | - Jean-Crispin Mukendi
- Expanded Program of Immunization, Kinshasa 01208, Democratic Republic of the Congo; (A.M.-W.C.); (C.L.L.); (J.-C.M.)
| | - Dieudonné Mwamba
- National Institute of Public Health, Kinshasa 01209, Democratic Republic of the Congo; (C.N.); (D.M.)
| | - Franck-Fortune Mboussou
- Communicable and Noncommunicable Diseases Cluster, World Health Organization Inter-Country Support Teams Central Africa, Libreville BP 820, Gabon;
| | - Deo Manirakiza
- United Nations Children’s Fund (UNICEF) Country Office, Kinshasa 01204, Democratic Republic of the Congo;
| | - Moise Désiré Yapi
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
| | - Gaga Fidele Ngabo
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
| | - Richard Bahizire Riziki
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
- Public Health Section, Higher Institute of Medical Techniques of Nyangezi, Sud-Kivu 11213, Democratic Republic of the Congo
| | | | - Bienvenu Nguejio Tsobeng
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
| | - Cedric Mwanga
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
| | - John Otomba
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
| | - Aimée Lulebo
- Kinshasa School of Public Health (KSPH), University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo; (E.M.); (A.L.); (P.L.)
| | - Paul Lusamba
- Kinshasa School of Public Health (KSPH), University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo; (E.M.); (A.L.); (P.L.)
| | - Marcellin Mengouo Nimpa
- Immunization and Vaccines Development (IVD) Program, World Health Organization (WHO), Country Office, Kinshasa 01205, Democratic Republic of the Congo; (M.D.Y.); (G.F.N.); (R.B.R.); (B.N.T.); (C.M.); (J.O.); (M.M.N.)
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11
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García-Hernández H, Zárate-Ramírez J, Kammar-García A, García-Peña C. Estimation of vaccination coverage and associated factors in older Mexican adults. Epidemiol Infect 2023; 151:e134. [PMID: 37577972 PMCID: PMC10468813 DOI: 10.1017/s0950268823001218] [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: 04/14/2023] [Revised: 06/30/2023] [Accepted: 07/21/2023] [Indexed: 08/15/2023] Open
Abstract
National vaccination programmes recommend the influenza vaccine for older adults, but this population group has the greatest morbidity and mortality from other preventable vaccine diseases. The aim of this article is to estimate the vaccine coverage in adults aged 65 years and older and to analyse the factors that could increase or decrease vaccination uptake probability for the three listed vaccines in the national vaccination programme (influenza, tetanus and diphtheria, and pneumococcus) and the full scheme in Mexico. We conducted an analytical cross-sectional study with 2012, 2018, and 2021 rounds from the National Health and Nutrition Survey, in which we calculated the vaccine coverage estimations and performed multivariable logistic regression models to analyse the factors related to vaccine uptake. Tetanus and diphtheria vaccines had the greatest coverage estimation in all years (59-71%), whereas the pneumococcus vaccine had the lowest (32-53%). Full scheme vaccine coverage decreased from 37.80% to 24.77% in 2012 and 2021, respectively. The National Health Card property, morbidity, being a beneficiary of any health system institution, and use of preventive services increased the probability of vaccine uptake. In conclusion, vaccine coverage in older Mexican adults decreased over time, and the Mexican health system plays a strategic role in immunisation.
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Affiliation(s)
| | - Judith Zárate-Ramírez
- Research Fellow, Health Reserch Division, National Institute of Geriatrics, Mexico City, Mexico
| | - Ashuin Kammar-García
- Researcher, Health Research Division, National Institute of Geriatrics, Mexico City, Mexico
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12
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Woodward M, Ramasubramanian V, Kamarulzaman A, Tantawichien T, Wang M, Song JY, Choi WS, Djauzi S, Solante R, Lee WS, Tateda K, Pan H, Wang NC, Pang T. Addressing Unmet Needs in Vaccination for Older Adults in the Asia Pacific: Insights from the COVID-19 Pandemic. Clin Interv Aging 2023; 18:869-880. [PMID: 37284594 PMCID: PMC10239646 DOI: 10.2147/cia.s406601] [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: 01/31/2023] [Accepted: 05/08/2023] [Indexed: 06/08/2023] Open
Abstract
The impact of vaccinating the older population against vaccine-preventable diseases in terms of health, social and economic benefits has been increasingly recognised. However, there is a gap in the utilisation of vaccines worldwide. The population is ageing at an unprecedented pace in the Asia-Pacific (APAC) region, with the number of persons older than 65 years set to double by 2050 to around 1.3 billion. More than 18% of the population in Japan, Hong Kong, and China is over the age of 65 years. This highlights the importance of prioritising resources to address societal obligations toward the needs of the ageing generation. This review provides an overview of the challenges to adult vaccination in APAC, drivers to increase vaccination coverage, vaccination insights gained through the COVID-19 pandemic, and potential measures to increase the uptake of adult vaccines in the region.
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Affiliation(s)
| | | | - Adeeba Kamarulzaman
- Department of Medicine, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Terapong Tantawichien
- Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Minggui Wang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, SH, People’s Republic of China
| | - Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korean University College of Medicine, Ansan, Korea
| | - Samsuridjal Djauzi
- Allergy and Clinical Immunology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Rontgene Solante
- Adult Infectious Diseases and Tropical Medicine, San Lazaro Hospital, Manila, NCR, Philippines
| | - Wen-Sen Lee
- Division of Infectious Diseases, Department of Internal Medicine, New Taipei City Hospital, New Taipei, Taiwan
| | - Kazuhiko Tateda
- Department of Microbiology and Infectious Diseases, Faculty of Medicine, Toho University, Tokyo, Japan
| | - HongXing Pan
- Institution of Vaccine Clinical Trials, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, JS, People’s Republic of China
| | - Ning-Chi Wang
- Department of Medicine, Tri-Service Hospital, Taipei, Taiwan
| | - Tikki Pang
- Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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13
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Ishoso DK, Danovaro-Holliday MC, Cikomola AMW, Lungayo CL, Mukendi JC, Mwamba D, Ngandu C, Mafuta E, Lusamba Dikassa PS, Lulebo A, Manirakiza D, Mboussou FF, Yapi MD, Ngabo GF, Riziki RB, Mwanga C, Otomba J, Nimpa MM. "Zero Dose" Children in the Democratic Republic of the Congo: How Many and Who Are They? Vaccines (Basel) 2023; 11:900. [PMID: 37243004 PMCID: PMC10224070 DOI: 10.3390/vaccines11050900] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/24/2023] [Accepted: 03/31/2023] [Indexed: 05/28/2023] Open
Abstract
(1) Background: The Democratic Republic of the Congo (DRC) is one of the countries with the highest number of never vaccinated or "zero-dose" (ZD) children in the world. This study was conducted to examine the proportion of ZD children and associated factors in the DRC. (2) Methods: Child and household data from a provincial-level vaccination coverage survey conducted between November 2021-February 2021 and 2022 were used. ZD was defined as a child aged 12 to 23 months who had not received any dose of pentavalent (diphtheria-tetanus-pertussis-Haemophilus influenzae type b (Hib)-Hepatitis B) vaccine (by card or recall). The proportion of ZD children was calculated and associated factors were explored using logistic regression, taking into account the complex sampling approach. (3) Results: The study included 51,054 children. The proportion of ZD children was 19.1% (95%CI: 19.0-19.2%); ZD ranged from 62.4% in Tshopo to 2.4% in Haut Lomami. After adjustment, being ZD was associated with low level of maternal education and having a young mother/guardian (aged ≤ 19 years); religious affiliation (willful failure to disclose religious affiliation as the highest associated factor compared to being Catholic, followed by Muslims, revival/independent church, Kimbanguist, Protestant); proxies for wealth such as not having a telephone or a radio; having to pay for a vaccination card or for another immunization-related service; not being able to name any vaccine-preventable disease. A child's lack of civil registration was also associated with being ZD. (4) Conclusions: In 2021, one in five children aged 12-23 months in DRC had never been vaccinated. The factors associated with being a ZD child suggest inequalities in vaccination that must be further explored to better target appropriate interventions.
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Affiliation(s)
- Daniel Katuashi Ishoso
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - M. Carolina Danovaro-Holliday
- Immunization, Analytics and Insights (IAI), Department of Immunization, Vaccines and Biologicals (IVB), World Health Organization (WHO), 1202 Geneva, Switzerland
| | | | | | | | - Dieudonné Mwamba
- National Institute of Public Health, Kinshasa, Democratic Republic of the Congo
| | - Christian Ngandu
- National Institute of Public Health, Kinshasa, Democratic Republic of the Congo
| | - Eric Mafuta
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | | | - Aimée Lulebo
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Deo Manirakiza
- United Nations Children’s Fund (UNICEF) Country Office, Kinshasa, Democratic Republic of the Congo
| | - Franck-Fortune Mboussou
- World Health Organization African Regional Office, Brazzaville, Democratic Republic of the Congo
| | - Moise Désiré Yapi
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
| | - Gaga Fidele Ngabo
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
| | - Richard Bahizire Riziki
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
- Higher Institute of Medical Techniques of Nyangezi, Public Health Section, Sud-Kivu, Democratic Republic of the Congo
| | - Cedric Mwanga
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
| | - John Otomba
- World Health Organization (WHO) Country Office, Kinshasa, Democratic Republic of the Congo
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You Y, Li X, Jiang S, Liang J, Xie P, Zou X, Liu G, Han X. Can primary care physician recommendation improve influenza vaccine uptake among older adults? A community health centre-based experimental study in China. BMC PRIMARY CARE 2023; 24:16. [PMID: 36650436 PMCID: PMC9843923 DOI: 10.1186/s12875-023-01980-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND To promote influenza vaccination coverage, a Chinese megacity, Shenzhen provides free influenza vaccination to its residents aged 60 years and above through community health centres (CHCs) since October 2016. A community health centre-based experiment was conducted by asking primary care physicians (PCPs) working in the intervention health centres to proactively recommend influenza vaccination to their patients aged 60 and above during their patients' visits. METHODS This study used an experimental design and a survey design. The experimental design evaluated the effect of PCP recommendation on influenza vaccination. A total of 24 CHCs were randomly selected as the intervention (involving 3814 participants) and control (3072 participants) group evenly. The intervention study period was during the 2017-2018 flu season. The 2016-2017 flu season was considered as the baseline comparison. The survey design examined changes in knowledge, attitude, and practice of influenza vaccination among older participants before and after the free influenza vaccination implementation. We randomly invited 1200 participants aged 60 and above during their visits to CHCs in October 2016 and followed them up until October 2017; among them, 958 participants completed the follow-up survey using the same questionnaire. RESULTS In the 2017-2018 flu season, 1,100 more patients got vaccinated in the intervention group under PCP recommendation compared with the 2016-2017 flu season. Among the 958 older adults in the post-implementation period, 77.5% had heard about the influenza vaccine, which was 24.7% higher than in the pre-implementation period; 84.8% of participants were aware where to take influenza vaccines, with the most improvement of 37.2% among all knowledge related questions; 62.5% of them agreed that patients with chronic diseases should have influenza vaccine, which was 19.1% higher than those being surveyed before the implementation period. About 83.6% of participants agreed older adults should have influenza vaccine, but there were still 58.4% who considered themselves too healthy to get vaccinated. CONCLUSION PCP recommendation improved influenza vaccine uptake and knowledge, attitude, and practice levels regarding influenza vaccination among older adults. More health policies and health education should be made to raise vaccination willingness and improve vaccination coverage among older adults.
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Affiliation(s)
- Yating You
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, Office 120, Taizhou Hall, 1088 Xueyuan Ave, Nanshan District, Shenzhen, China
| | - Xiaoheng Li
- Shenzhen Centre for Disease Control and Prevention, 8 Longyuan Road, Nanshan District, Shenzhen, China
| | - Shiqiang Jiang
- Shenzhen Centre for Disease Control and Prevention, 8 Longyuan Road, Nanshan District, Shenzhen, China
| | - Jing Liang
- Shenzhen Centre for Disease Control and Prevention, 8 Longyuan Road, Nanshan District, Shenzhen, China
| | - Pei Xie
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, Office 120, Taizhou Hall, 1088 Xueyuan Ave, Nanshan District, Shenzhen, China
| | - Xuan Zou
- Shenzhen Centre for Disease Control and Prevention, 8 Longyuan Road, Nanshan District, Shenzhen, China
| | - Gang Liu
- Shenzhen Centre for Disease Control and Prevention, 8 Longyuan Road, Nanshan District, Shenzhen, China
| | - Xinxin Han
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, Office 120, Taizhou Hall, 1088 Xueyuan Ave, Nanshan District, Shenzhen, China
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15
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Ye B, Shu L, Pang Y, Guo Y, Guo Y, Zong K, Chen C, Zheng X, Zhang J, Liu M, Yuan X, Zhao Y, Zhang D, Wang D, Bao C, Zhang J, Chen L, Gao GF, Liu WJ. Repeated influenza vaccination induces similar immune protection as first-time vaccination but with differing immune responses. Influenza Other Respir Viruses 2023; 17:e13060. [PMID: 36271687 PMCID: PMC9835420 DOI: 10.1111/irv.13060] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/21/2022] [Accepted: 09/24/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Recent seasonal epidemics of influenza have been caused by human influenza A viruses of the H1N1 and H3N2 subtypes and influenza B viruses. Annual vaccination is recommended to prevent infection; however, how annual influenza vaccination influences vaccine effectiveness is largely unknown. METHODS To investigate the impact of repeated vaccination on immune and protective effect, we performed a prospective seroepidemiologic study. Participants with or without prior vaccination (2018-2019) were enrolled during the 2019-2020 influenza season. Inactivated quadrivalent influenza vaccine (IIV4) was administered through the intramuscular route, and venous blood samples were collected regularly to test hemagglutination inhibition (HAI) titers. RESULTS The geometric mean titers and proportion with titers ≥40 against the influenza vaccine components peaked at 30 days post-vaccination. At Day 30, the geometric mean titer and proportion with titers ≥40 in participants who had been previously vaccinated were higher for H3N2 but similar for both B lineages (Victoria and Yamagata) as compared with participants vaccinated for the first time. As for H1N1, the geometric mean titer was lower in repeated vaccinated participants, but the proportion with titers ≥40 was consistent in both groups. CONCLUSIONS Repeated vaccination provides similar or enhanced protection as compared with single vaccination in first-time vaccinees.
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Affiliation(s)
- Beiwei Ye
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Liumei Shu
- Department of Health CareBeijing Daxing District HospitalBeijingChina
| | - Yuanyuan Pang
- Suzhou Municipal Center for Disease Control and PreventionSuzhouJiangsuChina
| | - Yaxin Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
- Department of Epidemiology, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Kexin Zong
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Cong Chen
- Changzhou Center for Disease Control and PreventionChangzhouJiangsuChina
| | - Xianzhi Zheng
- Changzhou Center for Disease Control and PreventionChangzhouJiangsuChina
| | - Jie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Maoshun Liu
- School of Laboratory Medicine and Life SciencesWenzhou Medical UniversityWenzhouZhejiangChina
| | - Xiaoju Yuan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Dayan Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
| | - Changjun Bao
- Jiangsu Provincial Center for Disease Control and PreventionNanjingJiangsuChina
| | - Jun Zhang
- Suzhou Municipal Center for Disease Control and PreventionSuzhouJiangsuChina
| | - Liling Chen
- Suzhou Municipal Center for Disease Control and PreventionSuzhouJiangsuChina
| | - George F. Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
- School of Laboratory Medicine and Life SciencesWenzhou Medical UniversityWenzhouZhejiangChina
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of Sciences (CAS)BeijingChina
- Research Unit of Adaptive Evolution and Control of Emerging VirusesChinese Academy of Medical SciencesBeijingChina
| | - William J. Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and Prevention (China CDC)BeijingChina
- School of Laboratory Medicine and Life SciencesWenzhou Medical UniversityWenzhouZhejiangChina
- Research Unit of Adaptive Evolution and Control of Emerging VirusesChinese Academy of Medical SciencesBeijingChina
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16
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Wu D, Jin C, Bessame K, Tang FFY, Ong JJ, Wang Z, Xie Y, Jit M, Larson HJ, Chantler T, Lin L, Gong W, Yang F, Jing F, Wei S, Cheng W, Zhou Y, Ren N, Qiu S, Bao J, Wen L, Yang Q, Tian J, Tang W, Tucker JD. Effectiveness of a pay-it-forward intervention compared with user-paid vaccination to improve influenza vaccine uptake and community engagement among children and older adults in China: a quasi-experimental pragmatic trial. THE LANCET. INFECTIOUS DISEASES 2022; 22:1484-1492. [PMID: 35868342 PMCID: PMC9492551 DOI: 10.1016/s1473-3099(22)00346-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND China has low seasonal influenza vaccination rates among priority populations. In this study, we aimed to evaluate a pay-it-forward strategy to increase influenza vaccine uptake in rural, suburban, and urban settings in China. METHODS We performed a quasi-experimental pragmatic trial to examine the effectiveness of a pay-it-forward intervention (a free influenza vaccine and an opportunity to donate financially to support vaccination of other individuals) to increase influenza vaccine uptake compared with standard-of-care user-paid vaccination among children (aged between 6 months and 8 years) and older people (≥60 years) in China. Recruitment took place in the standard-of-care group until the expected sample size was reached and then in the pay-it-forward group in primary care clinics from a rural site (Yangshan), a suburban site (Zengcheng), and an urban site (Tianhe). Participants were introduced to the influenza vaccine by project staff using a pamphlet about influenza vaccination and were either asked to pay out-of-pocket at the standard market price (US$8·5-23·2; standard-of-care group) or to donate any amount anonymously (pay-it-forward group). Participants had to be eligible to receive an influenza vaccine and to have not received an influenza vaccine in the past year. The primary outcome was vaccine uptake. Secondary outcomes were vaccine confidence and costs (from the health-care provider perspective). Regression methods compared influenza vaccine uptake and vaccine confidence between the two groups. This trial is registered with ChiCTR, ChiCTR2000040048. FINDINGS From Sept 21, 2020, to March 3, 2021, 300 enrolees were recruited from patients visiting three primary care clinics. 55 (37%) of 150 people in the standard-of-care group (40 [53%] of 75 children and 15 [20%] of 75 older adults) and 111 (74%) of 150 in the pay-it-forward group (66 [88%] of 75 children and 45 [60%] of 75 older adults) received an influenza vaccine. People in the pay-it-forward group were more likely to receive an influenza vaccine compared with those in the standard-of-care group (adjusted odds ratio [aOR] 6·7 [95% CI 2·7-16·6] among children and 5·0 [2·3-10·8] among older adults). People in the pay-it-forward group had greater confidence in vaccine safety (aOR 2·2 [95% CI 1·2-3·9]), importance (3·1 [1·6-5·9]), and effectiveness (3·1 [1·7-5·7]). In the pay-it-forward group, 107 (96%) of 111 participants donated money for subsequent vaccinations. The pay-it-forward group had a lower economic cost (calculated as the cost without subtraction of donations) per person vaccinated (US$45·60) than did the standard-of-care group ($64·67). INTERPRETATION The pay-it-forward intervention seemed to be effective in improving influenza vaccine uptake and community engagement. Our data have implications for prosocial interventions to enhance influenza vaccine uptake in countries where influenza vaccines are available for a fee. FUNDING Bill & Melinda Gates Foundation and the UK National Institute for Health Research.
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Affiliation(s)
- Dan Wu
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China; Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Chapel Hill Project-China, University of North Carolina, Guangzhou, China.
| | - Chenqi Jin
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China; Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Khaoula Bessame
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Fanny Fong-Yi Tang
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jason J Ong
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Faculty of Medicine, Central Clinical School, Monash University, Melbourne, VIC, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
| | - Zaisheng Wang
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China; School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Yewei Xie
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China; Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Mark Jit
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Heidi J Larson
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Tracey Chantler
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Leesa Lin
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong Special Administrative Region, China
| | - Wenfeng Gong
- Beijing Representative Office, Bill & Melinda Gates Foundation, Beijing, China
| | - Fan Yang
- Institute of Population Research, Peking University, Beijing, China
| | - Fengshi Jing
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China; Guangdong Secondary Provincial General Hospital, Guangzhou, China
| | - Shufang Wei
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China
| | - Weibin Cheng
- Guangdong Secondary Provincial General Hospital, Guangzhou, China
| | - Yi Zhou
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China; Faculty of Medicine, Macau University of Science and Technology, Macau Special Administrative Region, China
| | - Nina Ren
- Guangdong Secondary Provincial General Hospital, Guangzhou, China
| | - Shuhao Qiu
- Vaccination Clinic, Yangshan Health Centre, Qingyuan, China
| | - Jianmin Bao
- Fenghuang Community Health Service Centre, Zengcheng, China
| | - Liufen Wen
- Xinhua Community Health Service Centre, Guangzhou, China
| | - Qinlu Yang
- Community Health Centre, Guangzhou, China
| | - Junzhang Tian
- Guangdong Secondary Provincial General Hospital, Guangzhou, China
| | - Weiming Tang
- Chapel Hill Project-China, University of North Carolina, Guangzhou, China; Guangdong Secondary Provincial General Hospital, Guangzhou, China; Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
| | - Joseph D Tucker
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Chapel Hill Project-China, University of North Carolina, Guangzhou, China; Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
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17
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Jin S, Jiang C, Xia T, Gu Z, Yu H, Li J, Zheng Y, Pan H, Qiao J, Cai R, Wu H, Wang C. Age-dependent and sex-dependent differences in mortality from influenza-associated cardiovascular diseases among older adults in Shanghai, China: a population-based study. BMJ Open 2022; 12:e061068. [PMID: 36123078 PMCID: PMC9486318 DOI: 10.1136/bmjopen-2022-061068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Influenza epidemics lead to substantial morbidity and mortality among older adults. This study aimed to analyse and assess the age-specific and sex-specific differences in mortality rates for cardiovascular disease (CVD) associated with influenza in older adults. DESIGN We obtained weekly data on mortality from CVD in adults≥60 years, categorised into five age groups. We used a quasi-Poisson model and adjusted for long-term and seasonal trends and absolute humidity as confounding factors. The male-to-female ratio (M/F ratio) was an indicator for assessing sex differences. SETTING Shanghai, China. PARTICIPANT We analysed 440 107 CVD deaths in adults aged ≥60 years, including 44 913 cases positive for influenza and 1 927 487 outpatient visits for influenza-like illness from 2010 to 2019. MAIN OUTCOME MEASURES Age-specific and sex-specific excess CVD mortality rates in older adults for various combinations of CVDs and influenza viruses. RESULTS Variations were observed in the excess mortality from CVD, ischaemic heart disease (IHD) and stroke depending on the influenza types/subtypes in different age and sex categories. The ≥85 years group had the highest excess mortality rates per 100 000 persons for CVD, IHD and stroke, while influenza A (H3N2) virus accounted for the highest mortality from CVD, IHD and stroke in people aged ≥65 years. Older men had a significantly lower influenza-associated IHD mortality rate than women, with an M/F ratio of 0.77 (p<0.05). CONCLUSIONS Excess mortality rates for CVDs associated with influenza increased with age in older adults. The risk for influenza-associated IHD mortality was significantly higher in older women than men. Our findings will help implement targeted health strategies, including the promotion of influenza vaccination and early therapeutic intervention for the older population with CVD, to curb the influenza burden effectively.
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Affiliation(s)
- Shan Jin
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chenyan Jiang
- Institute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Tian Xia
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhen Gu
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Huiting Yu
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jing Li
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Clinical Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Yaxu Zheng
- Institute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Hao Pan
- Institute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jiaying Qiao
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Renzhi Cai
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Huanyu Wu
- Institute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chunfang Wang
- Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
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18
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Perroud JM, Soldano S, Avanceña ALV, Wagner A. Adult vaccination uptake strategies in low- and middle-income countries: A systematic review. Vaccine 2022; 40:5313-5321. [PMID: 35953323 DOI: 10.1016/j.vaccine.2022.07.054] [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: 01/19/2022] [Revised: 06/23/2022] [Accepted: 07/25/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Evidence-based strategies can maximize vaccination intent and uptake among adults. This systematic review summarizes the existing literature on strategies to improve vaccination intent and uptake among adults in low- and middle-income countries (LMICs) to inform future implementation in various populations and contexts. METHODS Eligible studies were identified through a systematic search in Medline, Embase, Cochrane Libraries, as well as grey literature databases published between January 2010 and March 2021. The search was limited to studies in LMICs that evaluated adult vaccination interventions. Data were extracted from the included studies and evaluated against the World Health Organization's Behavioral and Social Drivers of Vaccination Framework. The National Institutes of Health study quality assessment tools were used to evaluate study quality. RESULTS The initial literature review identified 2,854 records, 22 of which met the inclusion criteria. The majority (n = 19 or 86%) of studies were from middle-income countries, with the remaining studies (n = 3 or 13%) set in low-income countries. The majority (15/22, 68%) of interventions were multi-component. 82% (18/22) of studies addressed thoughts and feelings, 59% (13/22) addressed social processes, and 73% (16/22) addressed practical issues. Five studies reported primary outcomes of vaccination intent, and the remaining 17 reported vaccine uptake. 36% (8/22) of the studies cited statistically significant positive intervention effects on vaccination intent or uptake. Few of the included studies (6/22, 27%) were RTCs, and most studies (15/22, 68%) were of poor study quality. The studies reporting the highest increase in vaccination intent and uptake were multi-component interventions that addressed all three determinants of vaccination. DISCUSSION The results of this review highlight levers that can be used to encourage vaccine intent and uptake in the ongoing rollout of COVID-19 vaccines, as well as the deployment of other vaccines to adult populations in LMICs. Of the included studies, multicomponent interventions were most effective, mainly when targeting multiple determinants of vaccination. However, poor study quality indicates the need for additional research to validate these findings.
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Affiliation(s)
- Janamarie M Perroud
- Department of Health Management and Policy, School of Public Health, University of Michigan. 1415 Washington Heights, SPH II, Ann Arbor, MI 48109, USA.
| | - Shad Soldano
- School of Public Health, University of Michigan, 1415 Washington Heights, SPH II, Ann Arbor, MI 48109, USA
| | - Anton L V Avanceña
- Department of Health Management and Policy, School of Public Health, University of Michigan. 1415 Washington Heights, SPH II, Ann Arbor, MI 48109, USA
| | - Abram Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, SPH II, Ann Arbor, MI 48109, USA
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19
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Hou Z, Guo J, Lai X, Zhang H, Wang J, Hu S, Du F, Francis MR, Fang H. Influenza vaccination hesitancy and its determinants among elderly in China: A national cross-sectional study. Vaccine 2022; 40:4806-4815. [PMID: 35788295 DOI: 10.1016/j.vaccine.2022.06.063] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 06/10/2022] [Accepted: 06/15/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND The Chinese elderly face a significant threat from seasonal influenza, owing to the consistently low vaccination coverage. This study investigated the prevalence and determinants of influenza vaccination hesitancy among the Chinese elderly. METHODS In 2019, 3849 elderly individuals from 10 provinces in China were recruited in a cross-sectional survey. Multinomial logistic regression was applied to investigate the determinants of influenza vaccination hesitancy. RESULTS Among the elderly respondents, 37.18% expressed some degree of hesitancy towards influenza vaccination: 19.28% were hesitant, and 17.90% refused influenza vaccination, including 19.28% acceptors with doubts and 17.90% refusers. Only 39.10% of the respondents considered themselves as the priority group for influenza vaccination, and 13.93% reported receiving a recommendation for vaccination from healthcare workers. Respondents with higher education levels and from urban areas had significantly higher odds of vaccine hesitancy than their counterparts. Confidence in the safety of vaccines was negatively associated with vaccine hesitancy, but confidence in vaccine efficacy had no such association. Respondents who perceived themselves as highly susceptible to influenza (AOR = 0.85; 95 %CI = 0.77-0.93) and those aware of the elderly as a priority group for influenza vaccination (AOR = 0.51; 95 %CI = 0.41-0.64) had a significantly lower odds of being refusers. CONCLUSION This study found a high prevalence of hesitancy towards influenza vaccination among the Chinese elderly, especially well-educated and urban-dwelling respondents. The government should address vaccine hesitancy through culturally appropriate communication, subsidies for vaccination, and actively promoting vaccines through primary care professionals.
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Affiliation(s)
- Zhiyuan Hou
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Jia Guo
- School of Public Health, Peking University, Beijing 100083, China; China Center for Health Development Studies, Peking University, Beijing 100083, China.
| | - Xiaozhen Lai
- School of Public Health, Peking University, Beijing 100083, China; China Center for Health Development Studies, Peking University, Beijing 100083, China.
| | - Haijun Zhang
- School of Public Health, Peking University, Beijing 100083, China; China Center for Health Development Studies, Peking University, Beijing 100083, China.
| | - Jiahao Wang
- School of Public Health, Peking University, Beijing 100083, China; China Center for Health Development Studies, Peking University, Beijing 100083, China.
| | - Simeng Hu
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Fanxing Du
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Mark R Francis
- Health Sciences Unit, Faculty of Social Sciences, Tampere University, Finland.
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing 100083, China; Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Beijing 100083, China; Key Laboratory of Reproductive Health National Health Commission of the People's Republic of China, Beijing 100083, China.
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20
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Jiang M, Yao X, Li P, Fang Y, Feng L, Hayat K, Shi X, Gong Y, Peng J, Atif N. Impact of video-led educational intervention on uptake of influenza vaccine among the elderly in western China: a community-based randomized controlled trial. BMC Public Health 2022; 22:1128. [PMID: 35668438 PMCID: PMC9169441 DOI: 10.1186/s12889-022-13536-8] [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: 11/03/2021] [Accepted: 05/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Influenza vaccination coverage rate among the elderly is low in China. We aimed to evaluate the impact of video-led educational intervention on influenza vaccine uptake among the Chinese elderly. METHODS A randomized controlled trial was conducted in 8 communities of Xi'an, a representative city in western China. Elderly aged over 60 years were randomized to the control group and intervention group (12-minute video education on influenza and its vaccination). Participants' knowledge, attitudes, and practices (KAP) of influenza was assessed by using a questionnaire survey before and after the intervention. The primary outcomes were participants' willingness to get influenza vaccinated and their actual uptake rates in the 2020-21 flu season. Secondary outcomes were the variations of pre- and post-intervention KAP scores. Intention-to-treat analysis was performed to analyze the data, and sensitivity analyses were conducted to examine the robustness of the results. RESULTS A total of 350 people were enrolled, with 175 individuals for each group. Participants in the intervention group were more willing to receive influenza vaccination than those in the control group (64.6% vs. 51.4%, p<0.05). The influenza vaccination uptake rate occurred in 10.3% of participants in the intervention group and 3.4% in the control group (odds ratio, 3.23; 95% CI 1.25-8.32, p<0.001). The post-intervention KAP scores in the intervention group were significantly higher compared to those in the control group (p<0.001). CONCLUSION Video-led education was an effective and feasible approach to improve old people's willingness and uptake of influenza vaccination in western China.
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Affiliation(s)
- Minghuan Jiang
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China. .,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China. .,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China. .,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China.
| | - Xuelin Yao
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Pengchao Li
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Yu Fang
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Liuxin Feng
- Department of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Khezar Hayat
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Xinke Shi
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yilin Gong
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Jin Peng
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
| | - Naveel Atif
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.,Center for Drug Safety and Policy Research, Xi'an Jiaotong University, Xi'an, 710061, China.,Shaanxi Center for Health Reform and Development Research, Xi'an, 710061, China.,Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi'an, 712000, China
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21
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Diamond C, Gong H, Sun FY, Liu Y, Quilty BJ, Jit M, Yang J, Yu H, Edmunds WJ, Baguelin M. Regional-based within-year seasonal variations in influenza-related health outcomes across mainland China: a systematic review and spatio-temporal analysis. BMC Med 2022; 20:58. [PMID: 35139857 PMCID: PMC8830135 DOI: 10.1186/s12916-022-02269-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 01/19/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND China experiences large variations in influenza seasonal activity. We aim to update and improve the current understanding of regional-based within-year variations of influenza activity across mainland China to provide evidence for the planning and optimisation of healthcare strategies. METHODS We conducted a systematic review and spatio-temporal meta-analysis to assess regional-based within-year variations of ILI outpatient consultation rates, influenza test positivity rates amongst both ILI outpatients and SARI inpatients, and influenza-associated excess mortality rates. We searched English and Chinese databases for articles reporting time-series data on the four influenza-related outcomes at the sub-national and sub-annual level. After synthesising the data, we reported on the mean monthly rate, epidemic onset, duration, peak and intensity. RESULTS We included 247 (7.7%) eligible studies in the analysis. We found within-year influenza patterns to vary across mainland China in relation to latitude and geographic location. High-latitude provinces were characterised by having short and intense annual winter epidemics, whilst most mid-latitude and low-latitude provinces experience semi-annual epidemics or year-round activity. Subtype activity varied across the country, with A/H1N1pdm09 and influenza B occurring predominantly in the winter, whereas A/H3N2 activity exhibited a latitudinal divide with high-latitude regions experiencing a winter peak, whilst mid and low-latitude regions experienced a summer epidemic. Epidemic onsets and peaks also varied, occurring first in the north and later in the southeast. We found positive associations between all influenza health outcomes. In addition, seasonal patterns at the prefecture and county-level broadly resembled their wider province. CONCLUSIONS This is the first systematic review to simultaneously examine the seasonal variation of multiple influenza-related health outcomes at multiple spatial scales across mainland China. The seasonality information provided here has important implications for the planning and optimisation of immunisation programmes and healthcare provision, supporting the need for regional-based approaches to address variations in local epidemiology.
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Affiliation(s)
- Charlie Diamond
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Hui Gong
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Fiona Yueqian Sun
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Yang Liu
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Billy J Quilty
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Mark Jit
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Juan Yang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - W John Edmunds
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Marc Baguelin
- Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
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22
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Gong L, Zhang X, Qu Z, Francis MR, Han K, Xu C, Cai E, Shi H, Hou Z. Public Interest in Distribution and Determinants of Influenza and Pneumonia Vaccination during the COVID-19 Pandemic: An Infodemiology and Cross-Sectional Study from China. Vaccines (Basel) 2021; 9:vaccines9111329. [PMID: 34835258 PMCID: PMC8623096 DOI: 10.3390/vaccines9111329] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Following the COVID-19 pandemic, global interest in influenza vaccines and pneumonia vaccines has increased significantly. We aimed to examine public interest in and actual market circulation of influenza and pneumonia vaccines before and after the initial outbreak of COVID-19 and estimate the coverage and determinants of influenza and pneumonia vaccination uptake following the COVID-19 pandemic. Methods: We obtained search volume data for vaccines using the Baidu search index and collected the numbers of vaccines issued from the National Institutes for Food and Drug Control. We also conducted a cross-sectional survey among 3346 adult residents to evaluate the coverage and determinants of influenza and pneumonia vaccination uptake in the Yangtze River delta, China, from 29 January to 4 February 2021. Results: Public searches and the number of vaccines issued for the influenza vaccines and pneumonia vaccines obviously increased after the initial outbreak of COVID-19. In the total sample, 12.5% were vaccinated against influenza, and 21.5% had at least one family member vaccinated against pneumonia. A minority of participants perceived that they were highly or very highly susceptible to influenza (15.9%) and COVID-19 (6.7%). A range of socio-economic factors and perceived susceptibility to COVID-19 were associated with influenza and pneumonia vaccination uptake. Conclusions: Public interest in and issued volumes of influenza and pneumonia vaccines increased nationally following the COVID-19 pandemic. Perceptions of high susceptibility to COVID-19 were associated with the uptake of the influenza and pneumonia vaccines. Targeted interventions were needed to improve vaccination coverage.
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Affiliation(s)
- Liubing Gong
- Chizhou Center for Disease Prevention and Control, Chizhou 247100, China;
| | - Xu Zhang
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China; (X.Z.); (Z.Q.); (K.H.)
| | - Zhiqiang Qu
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China; (X.Z.); (Z.Q.); (K.H.)
| | - Mark R. Francis
- Health Sciences Unit, Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland;
| | - Kaiyi Han
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China; (X.Z.); (Z.Q.); (K.H.)
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
| | - Cuilin Xu
- Yuhuatai Center for Disease Prevention and Control, Nanjing 210012, China;
| | - Enmao Cai
- Changning Center for Disease Prevention and Control, Shanghai 200051, China;
| | - Huilin Shi
- School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai 200032, China;
| | - Zhiyuan Hou
- School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China; (X.Z.); (Z.Q.); (K.H.)
- Correspondence: ; Tel.: +86-21-33563935
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