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Guan H, Zhang L, Chen X, Zhang Y, Ding Y, Liu W. Enhancing vaccination uptake through community engagement: evidence from China. Sci Rep 2024; 14:10845. [PMID: 38736012 DOI: 10.1038/s41598-024-61583-5] [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: 03/04/2024] [Accepted: 05/07/2024] [Indexed: 05/14/2024] Open
Abstract
With growing recognition of the importance of community engagement in addressing public health challenges, its role in promoting healthy behaviors and preventing infectious diseases has gained attention. However, vaccination coverage remains a significant concern in many developing countries. While previous studies have linked community engagement to positive health outcomes, there is a gap in understanding its influence on individual vaccination choices, particularly in the context of developing countries. Utilizing data from the 2021 Chinese General Social Survey (CGSS), this study examines the impact of community engagement on COVID-19 and flu vaccination uptake among 7281 individuals. Community engagement, measured by community vaccination notifications, serves as the key independent variable. The study employs Ordinary Least Squares (OLS) regression and Propensity Score Matching (PSM) methods to analyze the relationship between community engagement and vaccination behavior. The analysis reveals a positive association between community engagement and vaccination rates. Specifically, individuals receiving notifications were more likely to get the COVID-19 vaccine compared to non-recipients (vaccination rates: 100% vs. 53.3%), and flu vaccination rates were also significantly higher among those notified (2.7% vs. 1.9%). Mechanism analysis suggests that individuals receiving community notifications are more aware of the benefits of vaccination, leading to higher vaccination rates among this group. This study underscores the effectiveness of community engagement strategies in promoting positive vaccination behavior among individuals in China. By enhancing awareness and trust in immunization, community engagement initiatives play a crucial role in shaping health behaviors and improving vaccination uptake. These findings emphasize the importance of integrating community engagement approaches into public health interventions to address vaccination challenges.
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Affiliation(s)
- Hongyu Guan
- Center for Experimental Economics in Education, Shaanxi Normal University, Xian, 710119, China
| | - Lidong Zhang
- Center for Experimental Economics in Education, Shaanxi Normal University, Xian, 710119, China
| | - Xiangzhe Chen
- Center for Experimental Economics in Education, Shaanxi Normal University, Xian, 710119, China
| | - Yunyun Zhang
- College of Economics, Xi'an University of Finance and Economics, Xi'an, 710100, Shaanxi, China.
| | - Yuxiu Ding
- Center for Experimental Economics in Education, Shaanxi Normal University, Xian, 710119, China
| | - Wenting Liu
- Center for Experimental Economics in Education, Shaanxi Normal University, Xian, 710119, China
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Boker LK, Fluss R, Dichtiar R, Rosenberg A, Ben-Lassan M, Huppert A. Pfizer COVID19 vaccine is not associated with acute cardiovascular events excluding myocarditis- a national self-controlled case series study. Isr J Health Policy Res 2024; 13:23. [PMID: 38659032 PMCID: PMC11040923 DOI: 10.1186/s13584-024-00609-9] [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: 10/22/2023] [Accepted: 04/07/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Despite publications assuring no increased risk for acute cardiovascular events (excluding myocarditis) and sudden death following administration of COVID19 vaccines, these issues still stir much public ado. We assessed the risk for acute cardiovascular events that require hospitalization (excluding myocarditis) and for mortality in the short-term following administration of the second dose of the Pfizer COVID19 vaccine in Israel. METHODS Using a self-controlled case series (SCCS) study design and national databases, all second-dose vaccinees, who had not been diagnosed with COVID19 and who had an acute cardiovascular event (acute myocardial infarction/acute stroke/acute thromboembolic event) that required hospitalization in the 60 days following vaccine administration between Jan 11th, 2021 and Oct 31st 2021, were included. A similar analysis was carried out for mortality. The first 30 days following vaccination were defined as risk period while the next 30 days were defined as control period. The probability for an event between these periods was compared using a conditional logistic regression model, accounting for sex, age group, background morbidity and seasonal risk. RESULTS Out of 5,700,112 second dose vaccinees, 4,163 had an acute cardiovascular event in the 60 days following vaccine administration. Following exclusion of 106 due to technical considerations, 1,979 events occurred during the risk period and 2,078 during the control period: Odds ratio, OR = 0.95, 95% confidence interval, CI 0.90-1.01, p = 0.12. Adjusted OR was similar (OR = 0.88, 95%CI 0.72-1.08). Stratifying by age showed no increased risk in any age group. Mortality assessment indicated low number of events in both periods. These results were consistent in sensitivity analyses. CONCLUSIONS There was no increased risk for acute cardiovascular events (excluding myocarditis) in the risk period compared to the control period following administration of the second dose of Pfizer COVID19 vaccine. Mortality data raised no concerns either, but may have been biased.
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Affiliation(s)
- Lital Keinan Boker
- Israel Center for Disease Control, Ministry of Health, Sheba Medical Center, Gertner bldg, 52621, Tel Hashomer, Ramat Gan, Israel.
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
| | - Ronen Fluss
- Gertner Institute for the Study of Epidemiology and Health Policy, Sheba Medical Center, Ramat Gan, Israel
| | - Rita Dichtiar
- Israel Center for Disease Control, Ministry of Health, Sheba Medical Center, Gertner bldg, 52621, Tel Hashomer, Ramat Gan, Israel
| | - Alina Rosenberg
- Israel Center for Disease Control, Ministry of Health, Sheba Medical Center, Gertner bldg, 52621, Tel Hashomer, Ramat Gan, Israel
| | - Maya Ben-Lassan
- Israel Center for Disease Control, Ministry of Health, Sheba Medical Center, Gertner bldg, 52621, Tel Hashomer, Ramat Gan, Israel
| | - Amit Huppert
- Gertner Institute for the Study of Epidemiology and Health Policy, Sheba Medical Center, Ramat Gan, Israel
- School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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He S, Liu SQ, Teng XY, He JY, Liu Y, Gao JH, Wu Y, Hu W, Dong ZJ, Bei JX, Xu JH. Comparative single-cell RNA sequencing analysis of immune response to inactivated vaccine and natural SARS-CoV-2 infection. J Med Virol 2024; 96:e29577. [PMID: 38572977 DOI: 10.1002/jmv.29577] [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: 10/27/2023] [Revised: 03/02/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Uncovering the immune response to an inactivated SARS-CoV-2 vaccine (In-Vac) and natural infection is crucial for comprehending COVID-19 immunology. Here we conducted an integrated analysis of single-cell RNA sequencing (scRNA-seq) data from serial peripheral blood mononuclear cell (PBMC) samples derived from 12 individuals receiving In-Vac compared with those from COVID-19 patients. Our study reveals that In-Vac induces subtle immunological changes in PBMC, including cell proportions and transcriptomes, compared with profound changes for natural infection. In-Vac modestly upregulates IFN-α but downregulates NF-κB pathways, while natural infection triggers hyperactive IFN-α and NF-κB pathways. Both In-Vac and natural infection alter T/B cell receptor repertoires, but COVID-19 has more significant change in preferential VJ gene, indicating a vigorous immune response. Our study reveals distinct patterns of cellular communications, including a selective activation of IL-15RA/IL-15 receptor pathway after In-Vac boost, suggesting its potential role in enhancing In-Vac-induced immunity. Collectively, our study illuminates multifaceted immune responses to In-Vac and natural infection, providing insights for optimizing SARS-CoV-2 vaccine efficacy.
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Affiliation(s)
- Shuai He
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shu-Qiang Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiang-Yun Teng
- Medical Laboratory Center, Maoming Hospital of Guangzhou University of Chinese Medicine, Maoming, China
| | - Jin-Yong He
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Yang Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jia-Hui Gao
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Yue Wu
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Wei Hu
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
| | - Zhong-Jun Dong
- School of Medicine and Institute for Immunology, Tsinghua University, Beijing, China
| | - Jin-Xin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jian-Hua Xu
- Medical Laboratory Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China
- Medical Laboratory Center, Maoming Hospital of Guangzhou University of Chinese Medicine, Maoming, China
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Lam ICH, Zhang R, Man KKC, Wong CKH, Chui CSL, Lai FTT, Li X, Chan EWY, Lau CS, Wong ICK, Wan EYF. Persistence in risk and effect of COVID-19 vaccination on long-term health consequences after SARS-CoV-2 infection. Nat Commun 2024; 15:1716. [PMID: 38403654 PMCID: PMC10894867 DOI: 10.1038/s41467-024-45953-1] [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: 08/24/2023] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
The persisting risk of long-term health consequences of SARS-CoV-2 infection and the protection against such risk conferred by COVID-19 vaccination remains unclear. Here we conducted a retrospective territory-wide cohort study on 1,175,277 patients with SARS-CoV-2 infection stratified by their vaccination status and non-infected controls to evaluate the risk of clinical sequelae, cardiovascular and all-cause mortality using a territory-wide public healthcare database with population-based vaccination records in Hong Kong. A progressive reduction in risk of all-cause mortality was observed over one year between patients with SARS-CoV-2 infection and controls. Patients with complete vaccination or have received booster dose incurred a lower risk of health consequences including major cardiovascular diseases, and all-cause mortality than unvaccinated or patients with incomplete vaccination 30-90 days after infection. Completely vaccinated and patients with booster dose of vaccines did not incur significant higher risk of health consequences from 271 and 91 days of infection onwards, respectively, whilst un-vaccinated and incompletely vaccinated patients continued to incur a greater risk of clinical sequelae for up to a year following SARS-CoV-2 infection. This study provided real-world evidence supporting the effectiveness of COVID-19 vaccines in reducing the risk of long-term health consequences of SARS-CoV-2 infection and its persistence following infection.
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Affiliation(s)
- Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kenneth Keng Cheung Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong SAR, Hong Kong, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Hong Kong SAR, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China.
- Aston Pharmacy School, Aston University, Birmingham, UK.
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China.
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5
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Qin SX, Cheng FWT, Kwok WC, Fung LWY, Ma TT, Yiu HHE, Bloom C, McDonald CF, Cheung CL, Lai FTT, Chui CSL, Li X, Wong CKH, Wan EYF, Wong ICK, Chan EWY. Effectiveness and Respiratory Adverse Events Following Inactivated and mRNA COVID-19 Vaccines in Patients with COPD and Asthma: A Chinese Population-Based Study. Drug Saf 2024; 47:135-146. [PMID: 38085500 PMCID: PMC10821837 DOI: 10.1007/s40264-023-01364-7] [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] [Accepted: 10/09/2023] [Indexed: 01/28/2024]
Abstract
INTRODUCTION Effectiveness and respiratory adverse events following coronavirus disease-2019 (COVID-19) vaccines have not been well investigated in Chinese patients with chronic obstructive pulmonary disease (COPD) and asthma. METHODS Using electronic health care records in Hong Kong, we included adults with COPD or asthma or both and hospitalised for severe respiratory exacerbation in a self-controlled case series (SCCS) study between 23/02/2021 and 30/11/2022. Conditional Poisson regression models were used to estimate the incidence of outcomes within exposure periods (28 days after each dose) compared with baseline periods. Cox proportional hazard models evaluated vaccine effectiveness (VE) against COVID-related mortality, hospitalisation, and severe complications, including admission to intensive care units or ventilatory support. The VE assessment was based on vaccine types and the number of doses. RESULTS In the SCCS, 343 CoronaVac recipients and 212 BNT162b2 recipients were included. No increased risk of outcomes was observed within the exposure periods. In the cohort study, 108,423 and 83,323 patients received ≥ 2 doses of CoronaVac and BNT162b2, respectively. The VE (95% CI) against COVID-related mortality, hospitalisation, and severe complications after two-dose CoronaVac was 77% (74-80%), 18% (6-23%), and 29% (12-43%), respectively, while for the two-dose regimen of BNT162b2, it was 92% (91-94%), 33% (30-37%), and 57% (45-66%), respectively. Higher VE against COVID-related mortality, hospitalisation, and severe complications was found for the three-dose regimen of CoronaVac (94%, 40%, and 71%) and BNT162b2 (98%, 65%, and 83%). Administering a fourth dose of either vaccine showed additional reductions in COVID-related outcomes. CONCLUSIONS Among people with COPD and asthma, the COVID-19 vaccines CoronaVac and BNT162b2 did not increase severe exacerbations and achieved moderate-to-high effectiveness against COVID-related outcomes. COVID-19 vaccination remains essential and should be encouraged to protect this vulnerable population in future epidemic waves.
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Affiliation(s)
- Simon Xiwen Qin
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Franco Wing Tak Cheng
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Wang Chun Kwok
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lydia W Y Fung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Tian Tian Ma
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Hei Hang Edmund Yiu
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Chloe Bloom
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - Christine F McDonald
- School of Medicine, University of Melbourne, Melbourne, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Ching-Lung Cheung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
| | - Esther Wai Yin Chan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- , 02-08, 2/F Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
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6
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Yan VKC, Cheng FWT, Chui CSL, Lai FTT, Wong CKH, Li X, Wan EYF, Wong JSC, Chan EWY, Wong ICK, Kwan MYW, Ip P. Effectiveness of BNT162b2 and CoronaVac vaccines in preventing SARS-CoV-2 Omicron infections, hospitalizations, and severe complications in the pediatric population in Hong Kong: a case-control study. Emerg Microbes Infect 2023; 12:2185455. [PMID: 36852582 PMCID: PMC10026771 DOI: 10.1080/22221751.2023.2185455] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Severe COVID-19 appears to be disproportionately more common in children and adolescents since the emergence of Omicron. More evidence regarding vaccine effectiveness (VE) is urgently needed to assist policymakers in making decisions and minimize vaccine hesitancy among the public. This was a case-control study in the pediatric population using data extracted from the electronic health records database in Hong Kong. Individuals aged 3-17 with COVID-19 confirmed by polymerase chain reaction were included in the study. Each case was matched with up to 10 controls based on age, gender, and index date (within 3 calendar days). The VE of BNT162b2 and CoronaVac in preventing COVID-19, hospitalizations, and severe outcomes were estimated using conditional logistic regression adjusted by patients' comorbidities and medication history during the outbreak from January to August 2022. A total of 36,434 COVID-19 cases, 2231 COVID-19-related hospitalizations, and 1918 severe COVID-19 cases were matched to 109,004, 21,788, and 18,823 controls, respectively. Compared to the unvaccinated group, three doses of BNT162b2 or CoronaVac was associated with reduced risk of infection [VE: BNT162b2: 56.0% (95% CI: 49.6-61.6), CoronaVac: 39.4% (95% CI: 25.6-50.6)], hospitalization [VE: BNT162b2: 58.9% (95% CI: 36.1-73.6), CoronaVac: 51.7% (11.6-73.6)], and severe outcomes [VE: BNT162b2: 60.2% (95% CI: 33.7-76.1), CoronaVac: 42.2% (95% CI: -6.2-68.6)]. Our findings showed that three doses of BNT162b2 or CoronaVac was effective in preventing COVID-19, hospitalizations, and severe outcomes among the pediatric population during Omicron-dominant pandemic, which was further enhanced after a booster dose.
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Affiliation(s)
- Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Celine Sze Ling Chui
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Joshua Sung Chih Wong
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong, People's Republic of China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Mike Yat Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong, People's Republic of China
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, People's Republic of China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, People's Republic of China
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
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Liu X, Xiao C, Guan P, Chen Q, You L, Kong H, Qin W, Dou P, Li Q, Li Y, Jiao Y, Zhong Z, Yang J, Wang X, Wang Q, Zhao J, Xu Z, Zhang H, Li R, Gao P, Xu G. Metabolomics acts as a powerful tool for comprehensively evaluating vaccines approved under emergency: a CoronaVac retrospective study. Front Immunol 2023; 14:1168308. [PMID: 37520533 PMCID: PMC10375237 DOI: 10.3389/fimmu.2023.1168308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/26/2023] [Indexed: 08/01/2023] Open
Abstract
Introduction To control the COVID-19 pandemic, great efforts have been made to realize herd immunity by vaccination since 2020. Unfortunately, most of the vaccines against COVID-19 were approved in emergency without a full-cycle and comprehensive evaluation process as recommended to the previous vaccines. Metabolome has a close tie with the phenotype and can sensitively reflect the responses to stimuli, rendering metabolomic analysis have the potential to appraise and monitor vaccine effects authentically. Methods In this study, a retrospective study was carried out for 330 Chinese volunteers receiving recommended two-dose CoronaVac, a vaccine approved in emergency in 2020. Venous blood was sampled before and after vaccination at 5 separate time points for all the recipients. Routine clinical laboratory analysis, metabolomic and lipidomic analysis data were collected. Results and discussion It was found that the serum antibody-positive rate of this population was around 81.82%. Most of the laboratory parameters were slightly perturbated within the relevant reference intervals after vaccination. The metabolomic and lipidomic analyses showed that the metabolic shift after inoculation was mainly in the glycolysis, tricarboxylic acid cycle, amino acid metabolism, urea cycle, as well as microbe-related metabolism (bile acid metabolism, tryptophan metabolism and phenylalanine metabolism). Time-course metabolome changes were found in parallel with the progress of immunity establishment and peripheral immune cell counting fluctuation, proving metabolomics analysis was an applicable solution to evaluate immune effects complementary to traditional antibody detection. Taurocholic acid, lysophosphatidylcholine 16:0 sn-1, glutamic acid, and phenylalanine were defined as valuable metabolite markers to indicate the establishment of immunity after vaccination. Integrated with the traditional laboratory analysis, this study provided a feasible metabolomics-based solution to relatively comprehensively evaluate vaccines approved under emergency.
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Affiliation(s)
- Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Congshu Xiao
- Department of Infection, The Second Hospital of Dalian Medical University, Dalian, China
| | - Pengwei Guan
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qianqian Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Lei You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hongwei Kong
- Hangzhou Health-Bank Medical Laboratory Co., Ltd., Hangzhou, China
| | - Wangshu Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Peng Dou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Qi Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Yanju Li
- Clinical laboratory, Affiliated Dalian Hospital of Shengjing Hospital of Chinese Medical University, Dalian, China
| | - Ying Jiao
- Nursing Department, Anshan Infectious Disease Hospital, Anshan, China
| | - Zhiwei Zhong
- Department of Infection, The Second Hospital of Dalian Medical University, Dalian, China
| | - Jun Yang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Qingqing Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinhui Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhiliang Xu
- Hangzhou Health-Bank Medical Laboratory Co., Ltd., Hangzhou, China
| | - Hong Zhang
- Internal Department, Women and Children’s Hospital of Anshan City, Anshan, China
| | - Rongkuan Li
- Department of Infection, The Second Hospital of Dalian Medical University, Dalian, China
| | - Peng Gao
- Clinical laboratory, The Second Hospital of Dalian Medical University, Dalian, China
- Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
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8
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Wei L, Zeng W, Huang Y, Ye G, Chen Y, Yang L, Cai Y. COVID-19 vaccination coverage and its cognitive determinants among older adults in Shanghai, China, during the COVID-19 epidemic. Front Public Health 2023; 11:1163616. [PMID: 37333561 PMCID: PMC10272832 DOI: 10.3389/fpubh.2023.1163616] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
Objectives This study aimed to examine the coverage of coronavirus disease 2019 (COVID-19) vaccination and its cognitive determinants among older adults. Methods A cross-sectional study was conducted using a questionnaire to conduct a survey among 725 Chinese older adults aged 60 years and above in June 2022, 2 months after the mass COVID-19 outbreak in Shanghai, China. The questionnaire covered demographic characteristics, COVID-19 vaccination status, internal risk perception, knowledge, and attitude toward the efficacy and safety of COVID-19 vaccines. Results The vaccination rate was 78.3% among the surveyed individuals. Self-reported reasons for unwillingness to get vaccinated (multiple selections) were "concerns about acute exacerbation of chronic diseases after vaccination (57.3%)" and "concerns regarding vaccine side effects (41.4%)." Compared to the unvaccinated group, the vaccinated group tended to have a higher score in internal risk perception (t = 2.64, P < 0.05), better knowledge of COVID-19 vaccines (t = 5.84, P < 0.05), and a more positive attitude toward the efficacy and safety of COVID-19 vaccines (t = 7.92, P < 0.05). The path analysis showed that the cognitive effect on vaccination behavior is relatively large, followed by the internal risk perception, and then the attitude toward COVID-19 vaccines. The more knowledgeable the participants were about COVID-19 vaccines, the more likely they were to receive the COVID-19 vaccines. In the multivariate logistic regression, the increased coverage of COVID-19 vaccination was associated with reduced age (OR = 0.53 95% CI 0.43-0.66, P < 0.001), being a resident in other places than Shanghai (OR = 0.40, 95% CI 0.17-0.92, P < 0.05), a shorter time of lockdown (OR = 0.33, 95% CI 0.13-0.83, P < 0.05), a history of other vaccines (OR = 2.58, 95% CI 1.45-4.60, P < 0.01), a fewer number of chronic diseases (OR = 0.49, 95% CI 0.38-0.62, P < 0.001), better knowledge about COVID-19 vaccines (OR = 1.60, 95% CI 1.17-2.19, P < 0.01), and a positive attitude toward COVID-19 vaccines (OR = 9.22, 95% CI 4.69-18.09, P < 0.001). Conclusion Acquiring accurate knowledge and developing a positive attitude toward COVID-19 vaccines are important factors associated with COVID-19 vaccination. Disseminating informed information on COVID-19 vaccines and ensuring efficacious communication regarding their efficacy and safety would enhance awareness about COVID-19 vaccination among older adults and consequently boost their vaccination coverage.
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Affiliation(s)
- Lu Wei
- Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wu Zeng
- Department of Global Health, School of Health, Georgetown University, Washington, DC, United States
| | - Yangyang Huang
- Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guoxin Ye
- Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Chen
- Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Yang
- Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Geriatrics, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Yuyang Cai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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9
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Lam ICH, Wong CKH, Zhang R, Chui CSL, Lai FTT, Li X, Chan EWY, Luo H, Zhang Q, Man KKC, Cheung BMY, Tang SCW, Lau CS, Wan EYF, Wong ICK. Long-term post-acute sequelae of COVID-19 infection: a retrospective, multi-database cohort study in Hong Kong and the UK. EClinicalMedicine 2023; 60:102000. [PMID: 37197226 PMCID: PMC10173760 DOI: 10.1016/j.eclinm.2023.102000] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/19/2023] [Accepted: 04/21/2023] [Indexed: 05/19/2023] Open
Abstract
Background Evidence on post-acute sequelae of SARS-CoV-2 (PASC) has shown inconsistent findings. This study aimed to generate coherent evidence on the post-acute sequelae of COVID-19 infection using electronic healthcare records across two regions. Methods In this retrospective, multi-database cohort study, patients with COVID-19 aged 18 or above between April 1st 2020 and May 31st 2022 from the Hong Kong Hospital Authority (HKHA) and March 16th 2020 and May 31st 2021 from the UK Biobank (UKB) databases and their matched controls were followed for up to 28 and 17 months, respectively. Covariates between patients with COVID-19 and non-COVID-19 controls were adjusted using propensity score-based inverse probability treatment weighting. Cox proportional regression was used to estimate the hazard ratio (HR) of clinical sequelae, cardiovascular, and all-cause mortality 21 days after COVID-19 infection. Findings A total of 535,186 and 16,400 patients were diagnosed with COVID-19 from HKHA and UKB, of whom 253,872 (47.4%) and 7613 (46.4%) were male, with a mean age (±SD) of 53.6 (17.8) years and 65.0 (8.5) years, respectively. Patients with COVID-19 incurred greater risk of heart failure (HR 1.82; 95% CI 1.65, 2.01), atrial fibrillation (1.31; 1.16, 1.48), coronary artery disease (1.32; 1.07, 1.63), deep vein thrombosis (1.74; 1.27, 2.37), chronic pulmonary disease (1.61; 1.40, 1.85), acute respiratory distress syndrome (1.89; 1.04, 3.43), interstitial lung disease (3.91; 2.36, 6.50), seizure (2.32; 1.12, 4.79), anxiety disorder (1.65; 1.29, 2.09), post-traumatic stress disorder (1.52; 1.23, 1.87), end-stage renal disease (1.76; 1.31, 2.38), acute kidney injury (2.14; 1.69, 2.71), pancreatitis (1.42; 1.10, 1.83), cardiovascular (2.86; 1.25, 6.51) and all-cause mortality (4.16; 2.11, 8.21) mortality during their post-acute phase of infection. Interpretation The consistent greater risk of PASC highlighted the need for sustained multi-disciplinary care for COVID-19 survivors. Funding Health Bureau, The Government of the Hong Kong Special Administrative Region, Collaborative Research Fund, The Government of the Hong Kong Special Administrative Region and AIR@InnoHK, administered by the Innovation and Technology Commission, The Government of the Hong Kong Special Administrative Region.
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Affiliation(s)
- Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong SAR, Hong Kong, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Hong Kong SAR, China
| | - Hao Luo
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China
- The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China
| | - Qingpeng Zhang
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China
| | - Kenneth Keng Cheung Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Bernard Man Yung Cheung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Research Centre of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Queen Mary Hospital, Pok Fu Lam, Hong Kong, China
| | - Sydney Chi Wai Tang
- Division of Nephrology, Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
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Hromić-Jahjefendić A, Sezer A, Aljabali AAA, Serrano-Aroca Á, Tambuwala MM, Uversky VN, Redwan EM, Barh D, Lundstrom K. COVID-19 Vaccines and Myocarditis: An Overview of Current Evidence. Biomedicines 2023; 11:biomedicines11051469. [PMID: 37239140 DOI: 10.3390/biomedicines11051469] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
COVID-19 vaccines have been widely used to reduce the incidence and disease severity of COVID-19. Questions have lately been raised about the possibility of an association between COVID-19 vaccines and myocarditis, an inflammatory condition affecting the myocardium, or the middle layer of the heart. Myocarditis can be caused by infections, immune reactions, or toxic exposure. The incidence rate of myocarditis and pericarditis was calculated to be 5.98 instances per million COVID-19 vaccine doses delivered, which is less than half of the incidences after SARS-CoV-2 infection. Myocarditis rates in people aged 12 to 39 years are around 12.6 cases per million doses following the second dose of mRNA vaccination. Adolescent men are more likely than women to develop myocarditis after receiving mRNA vaccines. The objectives of this systematic review and meta-analysis are to find out how often myocarditis occurs after receiving the COVID-19 vaccine, as well as the risk factors and clinical repercussions of this condition. Nevertheless, the causal relationship between vaccination and myocarditis has been difficult to establish, and further research is required. It is also essential to distinguish between suggested cases of myocarditis and those confirmed by endomyocardial biopsy.
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Affiliation(s)
- Altijana Hromić-Jahjefendić
- Department of Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Hrasnicka cesta 15, 71000 Sarajevo, Bosnia and Herzegovina
| | - Abas Sezer
- Department of Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Hrasnicka cesta 15, 71000 Sarajevo, Bosnia and Herzegovina
| | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Yarmouk University, P.O. Box 566, Irbid 21163, Jordan
| | - Ángel Serrano-Aroca
- Biomaterials and Bioengineering Laboratory, Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, c/Guillem de Castro 94, 46001 Valencia, Spain
| | - Murtaza M Tambuwala
- Lincoln Medical School, Brayford Pool Campus, University of Lincoln, Lincoln LN6 7TS, UK
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Elrashdy M Redwan
- Department of Biological Science, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Therapeutic and Protective Proteins Laboratory, Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City for Scientific Research and Technology Applications, New Borg EL-Arab 21934, Egypt
| | - Debmalya Barh
- Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur 721172, India
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
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11
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Meo SA, ElToukhy RA, Meo AS, Klonoff DC. Comparison of Biological, Pharmacological Characteristics, Indications, Contraindications, Efficacy, and Adverse Effects of Inactivated Whole-Virus COVID-19 Vaccines Sinopharm, CoronaVac, and Covaxin: An Observational Study. Vaccines (Basel) 2023; 11:826. [PMID: 37112738 PMCID: PMC10146574 DOI: 10.3390/vaccines11040826] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging viral zoonotic illness that has developed a distinctive and threatening situation globally. Worldwide, many vaccines were introduced to fight against the COVID-19 pandemic. The present study aims to compare the bio-pharmacological characteristics, indications, contraindications, efficacy, and adverse effects of inactivated whole-virus COVID-19 vaccines, Sinopharm, CoronaVac, and Covaxin. Initially, 262 documents and 6 international organizations were selected. Finally, 41 articles, fact sheets, and international organizations were included. The data were recorded from the World Health Organization (WHO), Food and Drug Administration (FDA) USA, Web of Science, PubMed, EMBASE, and Scopus. The results demonstrated that these three inactivated whole-virus COVID-19 vaccines, Sinopharm, CoronaVac, and Covaxin, received emergency approval from the FDA/WHO, and all three of these vaccines are beneficial for the prevention of the COVID-19 pandemic. The Sinopharm vaccine has been recommended during pregnancy and for people of all age groups, and the CoronaVac and Covaxin vaccines are recommended for people over 18 years of age and older. These three vaccines have recommended intramuscular doses of 0.5 mL each, with a 3-4 week interval. These three vaccines can be stored in a refrigerator at +2 to +8 °C. The common adverse effects of these vaccines are pain at the injection site, redness, fatigue, headache, myalgias, general lethargy, body ache, arthralgia, nausea, chills, fever, and dizziness. The overall mean efficiency for the prevention of the COVID-19 disease is 73.78% for Sinopharm, 70.96% for CoronaVac, and 61.80% for Covaxin. In conclusion, all three inactivated whole-virus COVID-19 vaccines, Sinopharm, CoronaVac, and Covaxin, are beneficial for the prevention of the COVID-19 pandemic. However, evidence suggests that the overall impact of Sinopharm is slightly better than that of CoronaVac and Covaxin.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Riham A. ElToukhy
- Department of Family Medicine, College of Medicine, King Saud University, Riyadh 2925, Saudi Arabia
| | - Anusha Sultan Meo
- College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA 94010, USA
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12
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Wang G, Yao Y, Wang Y, Gong J, Meng Q, Wang H, Wang W, Chen X, Zhao Y. Determinants of COVID-19 vaccination status and hesitancy among older adults in China. Nat Med 2023; 29:623-631. [PMID: 36720270 PMCID: PMC10285745 DOI: 10.1038/s41591-023-02241-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/27/2023] [Indexed: 02/02/2023]
Abstract
Vaccination is the primary defense against severe acute respiratory syndrome coronavirus 2, especially among older adults and those with chronic conditions. Using a nationally representative sample of 12,900 participants from the fifth wave (2021-2022) of the China Health and Retirement Longitudinal Study (CHARLS), we examined the coronavirus disease 2019 (COVID-19) vaccination status and the determinants of vaccination hesitancy in Chinese adults aged 52 and older. By July/August 2022, 92.3% of the Chinese population aged 60 years and older had received at least one COVID-19 vaccination, 88.6% had completed the primary series and 72.4% had received a booster. Those aged 80 years and older had lower vaccination rates, with 71.9% and 46.7% completing the primary series and booster shots, respectively. These statistics represent the situation before China ended the Zero-COVID policy in November 2022 because vaccination stagnated between July/August and November 2022. Multivariate regression analysis revealed that belonging to the oldest age groups (individuals aged 70 years and older and especially those aged 80 years and older) as well as being female and unmarried, residing in urban areas, being functionally dependent and having chronic conditions meant that these individuals were less likely to receive COVID-19 vaccines. Our regression analysis results were corroborated by self-reported reasons for nonvaccination. Vaccination hesitancy probably contributed to excessive mortality among vulnerable populations after China ceased its Zero-COVID policy. Our study provides important lessons on how to balance containment efforts with vaccination and treatment measures, as well as highlighting the need to clarify the side effects and contraindications of vaccines early on.
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Affiliation(s)
- Gewei Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yafeng Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Jinquan Gong
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Qinqin Meng
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hui Wang
- China Center for Economic Research, National School of Development, Peking University, Beijing, China
| | - Wenjin Wang
- China Center for Economic Research, National School of Development, Peking University, Beijing, China
| | - Xinxin Chen
- Institute of Social Science Survey, Peking University, Beijing, China.
| | - Yaohui Zhao
- China Center for Economic Research, National School of Development, Peking University, Beijing, China.
- Institute for Global Health and Development, Peking University, Beijing, China.
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Vaccines for the Prevention of Coronavirus Disease 2019 in Older Adults. Infect Dis Clin North Am 2023; 37:27-45. [PMID: 36805013 PMCID: PMC9633624 DOI: 10.1016/j.idc.2022.11.002] [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] [Indexed: 11/06/2022]
Abstract
Institutionalized and community-dwelling older adults have been greatly impacted by the coronavirus disease 2019 (COVID-19) pandemic with increased morbidity and mortality. The advent of vaccines and their widespread use in this population has brought about a dramatic turnaround in COVID-19 outcomes. The immunogenicity and effectiveness of the various vaccine options worldwide are discussed. Optimization of vaccine usage will still be important to maximize protection due to reduced initial immunity, development of variant strains, and fading of immunity over time. There are also lessons learned specific to older populations for future pandemics of novel pathogens.
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14
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Wan EYF, Wang B, Mathur S, Chan CIY, Yan VKC, Lai FTT, Chui CSL, Li X, Wong CKH, Li PH, Lau CS, Wong ICK, Chan EWY. Molnupiravir and nirmatrelvir-ritonavir reduce mortality risk during post-acute COVID-19 phase. J Infect 2023; 86:622-625. [PMID: 36822409 PMCID: PMC9943556 DOI: 10.1016/j.jinf.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 02/18/2023] [Indexed: 02/23/2023]
Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sukriti Mathur
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Cheyenne I Ying Chan
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Philip Hei Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK.
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China.
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15
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Wan EYF, Mok AHY, Yan VKC, Chan CIY, Wang B, Lai FTT, Chui CSL, Li X, Wong CKH, Lau CS, Wong ICK, Chan EWY. Effectiveness of BNT162b2 and CoronaVac vaccinations against SARS-CoV-2 omicron infection in people aged 60 years or above: a case-control study. J Travel Med 2022; 29:6761907. [PMID: 36250571 PMCID: PMC9619717 DOI: 10.1093/jtm/taac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/02/2022] [Accepted: 10/06/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND In view of limited evidence that specifically addresses vaccine effectiveness (VE) in the older population, this study aims to evaluate the real-world effectiveness of BNT162b2 and CoronaVac in older adults during the Omicron BA.2 outbreak. METHODS This case-control study analyzed data available between January and March 2022 from the electronic health databases in Hong Kong and enrolled individuals aged 60 or above. Each case was matched with up to 10 controls by age, sex, index date and Charlson Comorbidity Index for the four outcomes (COVID-19 infection, COVID-19-related hospitalization, severe complications, and all-cause mortality) independently. Conditional logistic regression was conducted to evaluate VE of BNT162b2 and CoronaVac against COVID-19-related outcomes within 28 days after COVID-19 infection among participants stratified by age groups (60-79, ≥80 years old). RESULTS A dose-response relationship between the number of vaccine doses received and protection against severe or fatal disease was observed. Highest VE (95% CI) against COVID-19 infection was observed in individuals aged ≥80 who received three doses of BNT162b2 [75.5% (73.1-77.7%)] or three doses of CoronaVac [53.9% (51.0-56.5%)] compared to those in the younger age group who received three doses of BNT162b2 [51.1% (49.9-52.4%)] or three doses of CoronaVac [2.0% (-0.1-4.1%)]. VE (95% CI) was higher for other outcomes, reaching 91.9% (89.4-93.8%) and 86.7% (84.3-88.8%) against COVID-19-related hospitalization; 85.8% (61.2-94.8%) and 89.8% (72.4-96.3%) against COVID-19-related severe complications; and 96.4% (92.9-98.2%) and 95.0% (92.1-96.8%) against COVID-19-related mortality after three doses of BNT162b2 and CoronaVac in older vaccine recipients, respectively. A similar dose-response relationship was established in younger vaccine recipients and after stratification by sex and Charlson Comorbidity Index. CONCLUSION Both BNT162b2 and CoronaVac vaccination were effective in protecting older adults against COVID-19 infection and COVID-19-related severe outcomes amidst the Omicron BA.2 pandemic, and VE increased further with the third dose.
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Affiliation(s)
- Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Anna Hoi Ying Mok
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Ka Chun Yan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Cheyenne I Ying Chan
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Francisco Tsz Tsun Lai
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.,School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xue Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Carlos King Ho Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ian Chi Kei Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Aston Pharmacy School, Aston University, Birmingham, UK.,Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.,The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
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16
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Wang G, Yao Y, Wang Y, Gong J, Meng Q, Wang H, Wang W, Chen X, Zhao Y. COVID-19 non-vaccination among older adults in China: a nationwide survey based on the China Health and Retirement Longitudinal Study (CHARLS). RESEARCH SQUARE 2022:rs.3.rs-2380496. [PMID: 36597533 PMCID: PMC9810236 DOI: 10.21203/rs.3.rs-2380496/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
China has a lower rate of vaccination among older adults and those who have chronic conditions and functional disabilities. As China has recently ended the zero-COVID policy, understanding the factors behind low vaccination rates among these vulnerable populations can inform immediate policy priorities to save lives for China and offer lessons for the world at large. We used the fifth wave (2021-22) of the China Health and Retirement Longitudinal Study (CHARLS), which represented mainland Chinese 45 and older. Vaccination status was updated in the summer of 2022, reflecting the current situation because very few additional vaccinations were administered afterward. For those who were unvaccinated, self-reported reasons were recorded. Using regression analysis, we investigated the determinants of non-vaccination, including demographics, functional status, and chronic conditions. In addition, two-thirds of the respondents had their vaccination status recorded twice in 2021 and 2022, allowing us to examine changes in vaccination rates in the recent year, zeroing in on the effects of the government's most recent vaccination campaign. Finally, we corroborated the regression results using self-reported reasons for non-vaccination in both years. A total of 12900 participants were included in the analysis. By the summer of 2022, the weighted COVID-19 vaccination rate among older Chinese people (≥60 years old) was 92.3%, with 88.8% having completed the primary series and 72.7% having received boosters. Only 72.0% of the oldest-old (≥80 years old) had completed the primary series, and 47.1% had had boosters. Regression analysis showed that participants who were older, female, unmarried, registered with urban Hukou residence, functionally dependent, and comorbid with chronic conditions were less likely to receive COVID-19 vaccines. A significant increase in vaccination rates among ethnic minorities, older adults, rural residents, and those with chronic conditions and functional dependency was observed in the year after the winter of 2021 when the government started to push for universal vaccination. The self-reported reasons for non-vaccination in 2022 were contraindications (48%), advanced ages/frailty/health conditions (21%), problems in accessing vaccines (18%), concerns about side effects or efficacy (9%), and having never heard of COVID-19 vaccine (6%). Nevertheless, as China has ended the zero-COVID policy, many older people, especially the oldest and those with chronic conditions and disabilities, have not yet been fully vaccinated with the primary series or booster doses, exposing them to the danger of infection. Therefore, health authorities should immediately abandon the previous practice of refusing to vaccinate those with chronic conditions, change people's mistaken perceptions of contraindications and side effects, and improve access to vaccines. Most importantly, China should strengthen public trust in vaccines by making information transparent regarding the vaccine's protection rates and side effects.
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Affiliation(s)
- Gewei Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yafeng Wang
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Jinquan Gong
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Qinqin Meng
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hui Wang
- China Center for Economic Research, National School of Development, Peking University Beijing, China
| | - Wenjin Wang
- China Center for Economic Research, National School of Development, Peking University Beijing, China
| | - Xinxin Chen
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yaohui Zhao
- China Center for Economic Research, National School of Development, Peking University Beijing, China
- Corresponding author.
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17
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Wan EYF, Ng VWS, Chang RS, Yan VKC, Chui CSL, Wong CKH, Li X, Lai FTT, Chan EWY, Hung IFN, Lau KK, Wong ICK. Association between the risk of seizure and COVID-19 vaccinations: A self-controlled case-series study. Epilepsia 2022; 63:3100-3110. [PMID: 36226469 PMCID: PMC9874430 DOI: 10.1111/epi.17436] [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: 07/12/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE The risk of seizure following BNT162b2 and CoronaVac vaccinations has been sparsely investigated. This study aimed to evaluate this association. METHOD Patients who had their first seizure-related hospitalization between February 23, 2021 and January 31, 2022, were identified in Hong Kong. All seizure episodes happening on the day of vaccination (day 0) were excluded, since clinicians validated that most of the cases on day 0 were syncopal episodes. Within-individual comparison using a modified self-controlled case series analysis was applied to estimate the incidence rate ratio (IRR) with 95% confidence intervals (CIs) of seizure using conditional Poisson regression. RESULTS We identified 1656 individuals who had their first seizure-related hospitalization (BNT162b2: 426; CoronaVac: 263; unvaccinated: 967) within the observation period. The incidence of seizure was 1.04 (95% CI .80-1.33) and 1.11 (95% CI .80-1.50) per 100 000 doses of BNT162b2 and CoronaVac administered, respectively. Sixteen and 17 individuals, respectively, received a second dose after having a first seizure within 28 days after the first dose of BNT162b2 and CoronaVac vaccinations. None had recurrent seizures after the second dose. There was no increased risk during day 1-6 after the first (BNT162b2: IRR = 1.39, 95% CI = .75-2.58; CoronaVac: IRR = 1.19, 95% CI = .50-2.83) and second doses (BNT162b2: IRR = 1.36, 95% CI = .72-2.57; CoronaVac: IRR = .71, 95% CI = .22-2.30) of vaccinations. During 7-13, 14-20, and 21-27 days post-vaccination, no association was observed for either vaccine. SIGNIFICANCE The findings demonstrated no increased risk of seizure following BNT162b2 and CoronaVac vaccinations. Future studies will be warranted to evaluate the risk of seizure following COVID-19 vaccinations in different populations, with subsequent doses to ensure the generalizability.
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Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Vanessa Wai Sei Ng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Richard Shek‐Kwan Chang
- Division of Neurology, Department of Medicine, Queen Mary Hospital, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,School of Nursing, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina,School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,The University of Hong Kong Shenzhen Institute of Research and InnovationShenzhenChina,Department of PharmacyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, Queen Mary Hospital, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina,The State Key Laboratory of Brain and Cognitive SciencesThe University of Hong KongHong KongChina
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,Department of PharmacyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina,Research Department of Practice and Policy, School of PharmacyUniversity College LondonLondonUK,Aston Pharmacy SchoolAston UniversityBirminghamUK
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18
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Evolution and Control of COVID-19 Epidemic in Hong Kong. Viruses 2022; 14:v14112519. [PMID: 36423128 PMCID: PMC9698160 DOI: 10.3390/v14112519] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open
Abstract
Hong Kong SAR has adopted universal masking, social distancing, testing of all symptomatic and high-risk groups for isolation of confirmed cases in healthcare facilities, and quarantine of contacts as epidemiological control measures without city lockdown or border closure. These measures successfully suppressed the community transmission of pre-Omicron SARS-CoV-2 variants or lineages during the first to the fourth wave. No nosocomial SARS-CoV-2 infection was documented among healthcare workers in the first 300 days. The strategy of COVID-19 containment was adopted to provide additional time to achieve population immunity by vaccination. The near-zero COVID-19 situation for about 8 months in 2021 did not enable adequate immunization of the eligible population. A combination of factors was identified, especially population complacency associated with the low local COVID-19 activity, together with vaccine hesitancy. The importation of the highly transmissible Omicron variant kickstarted the fifth wave of COVID-19, which could no longer be controlled by our initial measures. The explosive fifth wave, which was partially contributed by vertical airborne transmission in high-rise residential buildings, resulted in over one million cases of infection. In this review, we summarize the epidemiology of COVID-19 and the infection control and public health measures against the importation and dissemination of SARS-CoV-2 until day 1000.
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19
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Wan EYF, Mok AHY, Yan VKC, Wang B, Zhang R, Hong SN, Chui CSL, Li X, Wong CKH, Lai FTT, Tan KCB, Lau CS, Wong ICK, Chan EWY. Vaccine effectiveness of BNT162b2 and CoronaVac against SARS-CoV-2 Omicron BA.2 infection, hospitalisation, severe complications, cardiovascular disease and mortality in patients with diabetes mellitus: A case control study. J Infect 2022; 85:e140-e144. [PMID: 35985416 PMCID: PMC9381942 DOI: 10.1016/j.jinf.2022.08.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/07/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Anna Hoi Ying Mok
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Sabrina Nan Hong
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xue Li
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China.
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20
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Rodewald L, Wu D, Yin Z, Feng Z. Vaccinate with Confidence and Finish Strong. China CDC Wkly 2022; 4:828-831. [PMID: 36284540 PMCID: PMC9547736 DOI: 10.46234/ccdcw2022.172] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 08/30/2022] [Indexed: 12/04/2022] Open
Affiliation(s)
- Lance Rodewald
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Wu
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zundong Yin
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
- Yin Zundong,
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention, Beijing, China
- Chinese Preventive Medicine Association, Beijing, China
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