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Yang X, Shi F, Zhang J, Gao H, Chen S, Olatosi B, Weissman S, Li X. Vaccination status and disease severity of COVID-19 in different phases of the pandemic. Hum Vaccin Immunother 2024; 20:2353491. [PMID: 38832632 PMCID: PMC11152109 DOI: 10.1080/21645515.2024.2353491] [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: 01/24/2024] [Accepted: 05/07/2024] [Indexed: 06/05/2024] Open
Abstract
This study aimed to explore the clinical profile and the impact of vaccination status on various health outcomes among COVID-19 patients diagnosed in different phases of the pandemic, during which several variants of concern (VOCs) circulated in South Carolina (SC). The current study included 861,526 adult COVID-19 patients diagnosed between January 2021 and April 2022. We extracted their information about demographic characteristics, vaccination, and clinical outcomes from a statewide electronic health record database. Multiple logistic regression models were used to compare clinical outcomes by vaccination status in different pandemic phases, accounting for key covariates (e.g. historical comorbidities). A reduction in mortality was observed among COVID-19 patients during the whole study period, although there were fluctuations during the Delta and Omicron dominant periods. Compared to non-vaccinated patients, full-vaccinated COVID-19 patients had lower mortality in all dominant variants, including Pre-alpha (adjusted odds ratio [aOR]: 0.33; 95%CI: 0.15-0.72), Alpha (aOR: 0.58; 95%CI: 0.42-0.82), Delta (aOR: 0.28; 95%CI: 0.25-0.31), and Omicron (aOR: 0.29; 95%CI: 0.26-0.33) phases. Regarding hospitalization, full-vaccinated parties showed lower risk of hospitalization than non-vaccinated patients in Delta (aOR: 0.44; 95%CI: 0.41-0.47) and Omicron (aOR: 0.53; 95%CI: 0.50-0.57) dominant periods. The findings demonstrated the protection effect of the COVID-19 vaccines against all VOCs, although some of the full-vaccinated population still have symptoms to varying degrees from COVID-19 disease at different phases of the pandemic.
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Affiliation(s)
- Xueying Yang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Fanghui Shi
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Jiajia Zhang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Haoyuan Gao
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Shujie Chen
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bankole Olatosi
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Sharon Weissman
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, SC, USA
| | - Xiaoming Li
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
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Aishaq M, Nafady-Hego H, Ben Abid F, Al Ajmi JA, Hamdi WS, Vinoy S, Thomas AG, Alrwashdh S, Shaheen M, Mathew TE, Elgendy M, Joseph S, Thomas C, Alex AK, Nafady A, Coyle PV, Elgendy H. SARS-CoV-2 infection prevalence, risk factors, and outcomes among non-clinical-related service providers in a national healthcare system. GLOBAL EPIDEMIOLOGY 2024; 8:100149. [PMID: 39021383 PMCID: PMC11252776 DOI: 10.1016/j.gloepi.2024.100149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 05/28/2024] [Accepted: 06/12/2024] [Indexed: 07/20/2024] Open
Abstract
Health care workers (HCWs) may be at a variable risk of SARS-CoV2 infection. Regardless of their involvement in providing direct clinical treatment, most of the prior research had included all HCWs. Understanding infection rates, risk factors and outcomes among different subgroups of HCWs is crucial. From February 28, 2020 to January 1, 2022, we conducted a retrospective analysis encompassing all full-time non-clinical staff (NCS) subcontracted with Hamad Medical Corporation (HMC) facilities. To determine current or previous SARS-CoV2 infection, all personnel underwent RT-PCR and/or serology testing. To identify the demographic factors linked to the risk of infection, we utilized Cox-Hazard regression analysis. Herein 3158/6231 (50.7%) subcontracted NCS tested positive for SARS-CoV-2 by RT-PCR or serology during the research period. The median age was 30 years (IQR 25,35), 69.8% of the population were males, 82.4% were from South Asia, 86.6% did not have any concomitant conditions. 6032 (96.8%) of the population lived in shared housing, while 4749 (76.2%) had low to median levels of education. While infection (PCR positive with or without seropositive results) was independently predicted by male gender, working in the catering, laundry, and security sectors and being intermediate (7-12 years of education), lower (0-6 years of education), higher (exposure to confirmed case), and having symptoms. Male gender, working in the security sectors and being intermediate (7-12 years of education) were independently associated with accidently detected cases (PCR negative and seropositive). 299 (4.8%) required hospitalization, of them 3 cases were severe pneumonia and one required ICU admission without mechanical ventilation, with no deaths reported. In conclusion Infection rates among NCS are high. The majority are asymptomatic and may contribute to ongoing illness spread in the public or in healthcare facilities. During a pandemic, routine screening of this population is crucial and may aid in containing the spread of infection.
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Affiliation(s)
| | - Hanaa Nafady-Hego
- Microbiology and Immunology Department, Faculty of Medicine, Assiut University, Assiut, Egypt
- Laboratory department, Al Tahrir medical center, Doha, Qatar
| | - Fatma Ben Abid
- Weill Cornell Medicine – Qatar, Doha, Qatar
- Division of Infectious Diseases, Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | | | | | | | | | | | | | | | - Mohamed Elgendy
- Faculty of Medicine, Universiti Sains of Malaysia, Kelantan, Malaysia
| | | | | | | | - Asmaa Nafady
- Clinical and chemical pathology department, faculty of medicine, South Valley University, Qena, Egypt
| | | | - Hamed Elgendy
- Hamad Medical Corporation, Doha, Qatar
- Weill Cornell Medicine – Qatar, Doha, Qatar
- Anesthesia Department, Faculty of Medicine, Qatar University, Doha, Qatar
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3
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Shimada N, Sugawa S, Murakami S, Shinoda M, Ota S, Morikawa M, Takei H, Serizawa Y, Takahashi H, Toyama-Kousaka M, Matsuse H, Shinkai M. Effectiveness and duration of additional immune defense provided by SARS-CoV-2 infection before and after receiving the mRNA COVID-19 vaccine BNT162b2. Vaccine X 2024; 19:100518. [PMID: 39040888 PMCID: PMC11261443 DOI: 10.1016/j.jvacx.2024.100518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 05/22/2024] [Accepted: 06/24/2024] [Indexed: 07/24/2024] Open
Abstract
Background Our investigation focused whether infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) before or after receiving the mRNA COVID-19 vaccine can increase immune protection. And we also investigated relationship of infection acquired. Methods Three shots of the mRNA coronavirus disease 2019 (COVID-19) vaccine BNT162b2 were administered to 736 healthcare workers at Tokyo Shinagawa Hospital. Serum samples were collected before the first shot (P1), at one month (P2), and at six months (P3) after the second shot and at one month after the third shot (P4). The presence of infection was assessed using IgG against the nucleocapsid (IgG (N) and RBD in the spike protein of SARS-CoV-2. We defined infection before P2 as natural infection (NI) and infection between P2 and P3 as breakthrough infection (BI) and compared susceptibility to further infection between the NI (-) and NI (+) groups and between BI (-) and BI (+) groups. Events in 485 participants who had a complete dataset of IgG (N) and IgG (RBD) from P1 to P4 were analyzed. Results The presence of SARS-CoV-2 infection before P2 were examined by examining the titers of IgG (N)P1, IgG (N) P2, and IgG (RBD) P1 that exceeded the cutoff values. Consequently, 35 participants (7.22 %) were categorized into the NI (+) group, whereas 450 (92.8 %) were categorized into the NI (-) group. Between P2 and P3, the NI (-) group showed a higher rate of SARS-CoV-2 infection than the NI (+) group; however, there was no significant difference in the infection rate between P3 and P4. The infection rate was significantly lower in the BI (+) group than in the BI (-) group. Pre-primary vaccination infection significantly increased IgG (RBD) levels between P1 and P3. Post-primary vaccination infection significantly increased IgG (RBD) levels between P3 and P4. Conclusions Infection with SARS-CoV-2 before or after receiving the mRNA COVID-19 vaccine can increase immune protection; however, the duration of this effect may be limited.
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Affiliation(s)
- Nagashige Shimada
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
- Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | | | | | - Masahiro Shinoda
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Shinichiro Ota
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Miwa Morikawa
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Hiroaki Takei
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
- Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | - Yusuke Serizawa
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Hidenori Takahashi
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Mio Toyama-Kousaka
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
| | - Hiroto Matsuse
- Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | - Masaharu Shinkai
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, Shinagawa, Tokyo, Japan
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Leekha A, Saeedi A, Sefat KMSR, Kumar M, Martinez-Paniagua M, Damian A, Kulkarni R, Reichel K, Rezvan A, Masoumi S, Liu X, Cooper LJN, Sebastian M, Sands CM, Das VE, Patel NB, Hurst B, Varadarajan N. Multi-antigen intranasal vaccine protects against challenge with sarbecoviruses and prevents transmission in hamsters. Nat Commun 2024; 15:6193. [PMID: 39043645 PMCID: PMC11266618 DOI: 10.1038/s41467-024-50133-2] [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: 08/01/2023] [Accepted: 07/01/2024] [Indexed: 07/25/2024] Open
Abstract
Immunization programs against SARS-CoV-2 with commercial intramuscular vaccines prevent disease but are less efficient in preventing infections. Mucosal vaccines can provide improved protection against transmission, ideally for different variants of concern (VOCs) and related sarbecoviruses. Here, we report a multi-antigen, intranasal vaccine, NanoSTING-SN (NanoSTING-Spike-Nucleocapsid), eliminates virus replication in both the lungs and the nostrils upon challenge with the pathogenic SARS-CoV-2 Delta VOC. We further demonstrate that NanoSTING-SN prevents transmission of the SARS-CoV-2 Omicron VOC (BA.5) to vaccine-naïve hamsters. To evaluate protection against other sarbecoviruses, we immunized mice with NanoSTING-SN. We showed that immunization affords protection against SARS-CoV, leading to protection from weight loss and 100% survival in mice. In non-human primates, animals immunized with NanoSTING-SN show durable serum IgG responses (6 months) and nasal wash IgA responses cross-reactive to SARS-CoV-2 (XBB1.5), SARS-CoV and MERS-CoV antigens. These observations have two implications: (1) mucosal multi-antigen vaccines present a pathway to reducing transmission of respiratory viruses, and (2) eliciting immunity against multiple antigens can be advantageous in engineering pan-sarbecovirus vaccines.
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Affiliation(s)
- Ankita Leekha
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Arash Saeedi
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - K M Samiur Rahman Sefat
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Monish Kumar
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Melisa Martinez-Paniagua
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Adrian Damian
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Rohan Kulkarni
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Kate Reichel
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Ali Rezvan
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Shalaleh Masoumi
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
| | - Xinli Liu
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
| | | | | | | | - Vallabh E Das
- College of Optometry, University of Houston, Houston, TX, USA
| | - Nimesh B Patel
- College of Optometry, University of Houston, Houston, TX, USA
| | - Brett Hurst
- Institute of Antiviral Research, Utah State University, UT, Logan, USA
| | - Navin Varadarajan
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.
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5
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Leekha A, Saeedi A, Kumar M, Sefat KMSR, Martinez-Paniagua M, Meng H, Fathi M, Kulkarni R, Reichel K, Biswas S, Tsitoura D, Liu X, Cooper LJN, Sands CM, Das VE, Sebastian M, Hurst BL, Varadarajan N. An intranasal nanoparticle STING agonist protects against respiratory viruses in animal models. Nat Commun 2024; 15:6053. [PMID: 39025863 PMCID: PMC11258242 DOI: 10.1038/s41467-024-50234-y] [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: 11/10/2022] [Accepted: 07/04/2024] [Indexed: 07/20/2024] Open
Abstract
Respiratory viral infections cause morbidity and mortality worldwide. Despite the success of vaccines, vaccination efficacy is weakened by the rapid emergence of viral variants with immunoevasive properties. The development of an off-the-shelf, effective, and safe therapy against respiratory viral infections is thus desirable. Here, we develop NanoSTING, a nanoparticle formulation of the endogenous STING agonist, 2'-3' cGAMP, to function as an immune activator and demonstrate its safety in mice and rats. A single intranasal dose of NanoSTING protects against pathogenic strains of SARS-CoV-2 (alpha and delta VOC) in hamsters. In transmission experiments, NanoSTING reduces the transmission of SARS-CoV-2 Omicron VOC to naïve hamsters. NanoSTING also protects against oseltamivir-sensitive and oseltamivir-resistant strains of influenza in mice. Mechanistically, NanoSTING upregulates locoregional interferon-dependent and interferon-independent pathways in mice, hamsters, as well as non-human primates. Our results thus implicate NanoSTING as a broad-spectrum immune activator for controlling respiratory virus infection.
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Affiliation(s)
- Ankita Leekha
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Arash Saeedi
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Monish Kumar
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - K M Samiur Rahman Sefat
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Melisa Martinez-Paniagua
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Hui Meng
- College of Optometry, University of Houston, Houston, TX, USA
| | - Mohsen Fathi
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Rohan Kulkarni
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Kate Reichel
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA
| | - Sujit Biswas
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
| | | | - Xinli Liu
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
| | | | | | - Vallabh E Das
- College of Optometry, University of Houston, Houston, TX, USA
| | | | - Brett L Hurst
- Institute for Antiviral Research, Utah State University, Logan, UT, USA
| | - Navin Varadarajan
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, USA.
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Takahashi Y, Tanaka H, Taniguchi C, Ogata T. Efficiency of indirect protection of COVID-19 vaccination and interactions between indirect and direct protection on household transmission. Vaccine 2024:S0264-410X(24)00749-7. [PMID: 39019654 DOI: 10.1016/j.vaccine.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 06/20/2024] [Accepted: 07/02/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND There is little information on relationships between indirect and direct protection by COVID-19 vaccination on close contacts of the vaccinees. Here, we assessed effect modification of direct-indirect action influencing the protective effects of vaccination. METHODS Secondary attack rates (SARs) in household contacts (n = 2422) depending on vaccination status of the index cases (n = 1112) with known vaccination history during the delta variant-dominant period (August 2-November 2, 2021) in two public health jurisdictions were calculated using multivariable logistic regression analysis to assess indirect protection by COVID-19 vaccination as adjusted odds ratios (aORs) for SARs. The impact of the time of index case vaccination on indirect-direct protective effects was also assessed. FINDINGS Contacts of index cases receiving 2× COVID-19 vaccinations showed significantly lower SARs than contacts of unvaccinated index cases (aOR:0.48, 95 %CI = 0.32-0.74). Relative to contacts where neither index cases nor contacts themselves were vaccinated (0,0), those with (2,0), (0,2) and (2,2) had lower SARs (0.45, 95 %CI = 0.24-0.82, 0.24, 95 %CI = 0.17-0.032, 0.11, 95 %CI = 0.06-0.20, respectively. No significant interactions on the SARs regarding times of vaccination between index cases and household contacts were observed, indicating additive but not synergistic protection. INTERPRETATION The indirect protective effects of COVID-19 vaccination were attributed to an additive effect together with the direct effect on onward transmission in the household setting. These findings emphasize the importance of herd immunity by COVID-19 vaccination not only for unvaccinated but also vaccinated individuals.
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Affiliation(s)
- Yuki Takahashi
- Health and Medical General Affairs Division of Osaka Prefectural Government, Japan.
| | - Hideo Tanaka
- Neyagawa City Public Health Center, 28-3 Yasakacho, Neyagawa, Osaka, Japan.
| | - Chie Taniguchi
- College of Nursing, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, Japan.
| | - Tsuyoshi Ogata
- Itako Public Health Center of Ibaraki Prefectural Government, 1446-1 Osu, Itako, Ibaraki, Japan.
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Uemura K, Ono S, Michihata N, Yamana H, Yasunaga H. Duration of effectiveness of the COVID-19 vaccine in Japan: a retrospective cohort study using large-scale population-based registry data. BMC Infect Dis 2024; 24:648. [PMID: 38943060 PMCID: PMC11212202 DOI: 10.1186/s12879-024-09488-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/10/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Most evidence of the waning of vaccine effectiveness is limited to a relatively short period after vaccination. METHODS Data obtained from a linked database of healthcare administrative claims and vaccination records maintained by the municipality of a city in the Kanto region of Japan were used in this study. The study period extended from April 1, 2020, to December 31, 2022. The duration of the effectiveness of the COVID-19 vaccine was analyzed using a time-dependent piecewise Cox proportional hazard model using the age, sex and history of cancer, diabetes, chronic obstructive pulmonary disease, asthma, chronic kidney disease, and cardiovascular disease as covariates. RESULTS Among the 174,757 eligible individuals, 14,416 (8.3%) were diagnosed with COVID-19 and 936 (0.54%) were hospitalized for COVID-19. Multivariate analysis based on the time-dependent Cox regression model with reference of non-vaccine group revealed a lower incidence of COVID-19 in the one-dose group (hazard ratio, 0.76 [95% confidence interval, 0.63-0.91]), two-dose (0.89 [0.85-0.93]), three-dose (0.80 [0.76-0.85]), four-dose (0.93 [0.88-1.00]), and five-dose (0.72 [0.62-0.84]) groups. A lower incidence of COVID-19-related hospitalization was observed in the one-dose group (0.42 [0.21-0.81]), two-dose (0.44 [0.35-0.56]), three-dose (0.38 [0.30-0.47]), four-dose (0.20 [0.14-0.28]), and five-dose (0.11 [0.014-0.86]) groups. Multivariable analyses based on the time-dependent piecewise Cox proportional hazard model with reference of non-vaccine group revealed significant preventive effects of the vaccine for 4 months for the incidence of COVID-19 and ≥ 6 months for hospitalization. CONCLUSIONS Vaccine effectiveness showed gradual attenuation with time after vaccination; however, protective effects against the incidence of COVID-19 and hospitalization were maintained for 4 months and ≥ 6 months, respectively. These results may aid in formulating routine vaccination plans after the COVID-19 pandemic.
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Affiliation(s)
- Kohei Uemura
- Department of Biostatistics & Bioinformatics, Interfaculty Initiative in Information Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Sachiko Ono
- Department of Eat-loss Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nobuaki Michihata
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Hayato Yamana
- Data Science Center, Jichi Medical University, Shimotsuke, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology & Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Raheem MA, Rahim MA, Gul I, Reyad-Ul-Ferdous M, Zhang CY, Yu D, Pandey V, Du K, Wang R, Han S, Han Y, Qin P. COVID-19: Post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations. Life Sci 2024:122861. [PMID: 38925222 DOI: 10.1016/j.lfs.2024.122861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024]
Abstract
SARS-CoV-2 is a highly contagious pathogen that predominantly caused the COVID-19 pandemic. The persistent effects of COVID-19 are defined as an inflammatory or host response to the virus that begins four weeks after initial infection and persists for an undetermined length of time. Chronic effects are more harmful than acute ones thus, this review explored the long-term effects of the virus on various human organs, including the pulmonary, cardiovascular, and neurological, reproductive, gastrointestinal, musculoskeletal, endocrine, and lymphoid systems and found that SARS-CoV-2 adversely affects these organs of older adults. Regarding diagnosis, the RT-PCR is a gold standard method of diagnosing COVID-19; however, it requires specialized equipment and personnel for performing assays and a long time for results production. Therefore, to overcome these limitations, artificial intelligence employed in imaging and microfluidics technologies is the most promising in diagnosing COVID-19. Pharmacological and non-pharmacological strategies are the most effective treatment for reducing the persistent impacts of COVID-19 by providing immunity to post-COVID-19 patients by reducing cytokine release syndrome, improving the T cell response, and increasing the circulation of activated natural killer and CD8 T cells in blood and tissues, which ultimately reduces fever, nausea, fatigue, and muscle weakness and pain. Vaccines such as inactivated viral, live attenuated viral, protein subunit, viral vectored, mRNA, DNA, or nanoparticle vaccines significantly reduce the adverse long-term virus effects in post-COVID-19 patients; however, no vaccine was reported to provide lifetime protection against COVID-19; consequently, protective measures such as physical separation, mask use, and hand cleansing are promising strategies. This review provides a comprehensive knowledge of the persistent effects of COVID-19 on people of varying ages, as well as diagnosis, treatment, vaccination, and future preventative measures against the spread of SARS-CoV-2.
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Affiliation(s)
- Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Muhammad Ajwad Rahim
- College of Animal Science and Technology, Ahnui Agricultural University, Hefei, PR China
| | - Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Md Reyad-Ul-Ferdous
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Can Yang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Dongmei Yu
- School of Mechanical, Electrical & Information Engineering, Shandong University
| | - Vijay Pandey
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Ke Du
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA
| | - Runming Wang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Sanyang Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Yuxing Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China.
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9
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Li X, Mi Z, Liu Z, Rong P. SARS-CoV-2: pathogenesis, therapeutics, variants, and vaccines. Front Microbiol 2024; 15:1334152. [PMID: 38939189 PMCID: PMC11208693 DOI: 10.3389/fmicb.2024.1334152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 05/29/2024] [Indexed: 06/29/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in December 2019 with staggering economic fallout and human suffering. The unique structure of SARS-CoV-2 and its underlying pathogenic mechanism were responsible for the global pandemic. In addition to the direct damage caused by the virus, SARS-CoV-2 triggers an abnormal immune response leading to a cytokine storm, culminating in acute respiratory distress syndrome and other fatal diseases that pose a significant challenge to clinicians. Therefore, potential treatments should focus not only on eliminating the virus but also on alleviating or controlling acute immune/inflammatory responses. Current management strategies for COVID-19 include preventative measures and supportive care, while the role of the host immune/inflammatory response in disease progression has largely been overlooked. Understanding the interaction between SARS-CoV-2 and its receptors, as well as the underlying pathogenesis, has proven to be helpful for disease prevention, early recognition of disease progression, vaccine development, and interventions aimed at reducing immunopathology have been shown to reduce adverse clinical outcomes and improve prognosis. Moreover, several key mutations in the SARS-CoV-2 genome sequence result in an enhanced binding affinity to the host cell receptor, or produce immune escape, leading to either increased virus transmissibility or virulence of variants that carry these mutations. This review characterizes the structural features of SARS-CoV-2, its variants, and their interaction with the immune system, emphasizing the role of dysfunctional immune responses and cytokine storm in disease progression. Additionally, potential therapeutic options are reviewed, providing critical insights into disease management, exploring effective approaches to deal with the public health crises caused by SARS-CoV-2.
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Affiliation(s)
- Xi Li
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ze Mi
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhenguo Liu
- Department of Infectious Disease, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Pengfei Rong
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
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10
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Miller M, Alvizo O, Baskerville S, Chintala A, Chng C, Dassie J, Dorigatti J, Huisman G, Jenne S, Kadam S, Leatherbury N, Lutz S, Mayo M, Mukherjee A, Sero A, Sundseth S, Penfield J, Riggins J, Zhang X. An engineered T7 RNA polymerase for efficient co-transcriptional capping with reduced dsRNA byproducts in mRNA synthesis. Faraday Discuss 2024. [PMID: 38832894 DOI: 10.1039/d4fd00023d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Messenger RNA (mRNA) therapies have recently gained tremendous traction with the approval of mRNA vaccines for the prevention of SARS-CoV-2 infection. However, manufacturing challenges have complicated large scale mRNA production, which is necessary for the clinical viability of these therapies. Not only can the incorporation of the required 5' 7-methylguanosine cap analog be inefficient and costly, in vitro transcription (IVT) using wild-type T7 RNA polymerase generates undesirable double-stranded RNA (dsRNA) byproducts that elicit adverse host immune responses and are difficult to remove at large scale. To overcome these challenges, we have engineered a novel RNA polymerase, T7-68, that co-transcriptionally incorporates both di- and tri-nucleotide cap analogs with high efficiency, even at reduced cap analog concentrations. We also demonstrate that IVT products generated with T7-68 have reduced dsRNA content.
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Affiliation(s)
- Mathew Miller
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Oscar Alvizo
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | | | - Avinash Chintala
- Precision Biosciences, 302 East Pettigrew St, Durham, NC 27701, USA
| | - Chinping Chng
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Justin Dassie
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | | | - Gjalt Huisman
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Stephan Jenne
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Supriya Kadam
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Neil Leatherbury
- Precision Biosciences, 302 East Pettigrew St, Durham, NC 27701, USA
| | - Stefan Lutz
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Melissa Mayo
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Arpan Mukherjee
- Precision Biosciences, 302 East Pettigrew St, Durham, NC 27701, USA
| | - Antoinette Sero
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Stuart Sundseth
- Precision Biosciences, 302 East Pettigrew St, Durham, NC 27701, USA
| | | | - James Riggins
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
| | - Xiyun Zhang
- Codexis, Inc., 200 Penobscot Drive, Redwood City, CA 94063, USA.
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11
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Ayoub HH, Tomy M, Chemaitelly H, Altarawneh HN, Coyle P, Tang P, Hasan MR, Al Kanaani Z, Al Kuwari E, Butt AA, Jeremijenko A, Kaleeckal AH, Latif AN, Shaik RM, Nasrallah GK, Benslimane FM, Al Khatib HA, Yassine HM, Al Kuwari MG, Al Romaihi HE, Abdul-Rahim HF, Al-Thani MH, Al Khal A, Bertollini R, Abu-Raddad LJ. Estimating protection afforded by prior infection in preventing reinfection: applying the test-negative study design. Am J Epidemiol 2024; 193:883-897. [PMID: 38061757 PMCID: PMC11145912 DOI: 10.1093/aje/kwad239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 11/20/2023] [Accepted: 12/04/2023] [Indexed: 06/04/2024] Open
Abstract
The COVID-19 pandemic has highlighted the need to use infection testing databases to rapidly estimate effectiveness of prior infection in preventing reinfection ($P{E}_S$) by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. Mathematical modeling was used to demonstrate a theoretical foundation for applicability of the test-negative, case-control study design to derive $P{E}_S$. Apart from the very early phase of an epidemic, the difference between the test-negative estimate for $P{E}_S$ and true value of $P{E}_S$ was minimal and became negligible as the epidemic progressed. The test-negative design provided robust estimation of $P{E}_S$ and its waning. Assuming that only 25% of prior infections are documented, misclassification of prior infection status underestimated $P{E}_S$, but the underestimate was considerable only when > 50% of the population was ever infected. Misclassification of latent infection, misclassification of current active infection, and scale-up of vaccination all resulted in negligible bias in estimated $P{E}_S$. The test-negative design was applied to national-level testing data in Qatar to estimate $P{E}_S$ for SARS-CoV-2. $P{E}_S$ against SARS-CoV-2 Alpha and Beta variants was estimated at 97.0% (95% CI, 93.6-98.6) and 85.5% (95% CI, 82.4-88.1), respectively. These estimates were validated using a cohort study design. The test-negative design offers a feasible, robust method to estimate protection from prior infection in preventing reinfection.
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Affiliation(s)
- Houssein H Ayoub
- Mathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Milan Tomy
- Mathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar
- Infectious Disease Epidemiology Group, Weill Cornell Medicine–Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha, Qatar
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine–Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States
| | - Heba N Altarawneh
- Infectious Disease Epidemiology Group, Weill Cornell Medicine–Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States
| | - Peter Coyle
- Hamad Medical Corporation, Doha, Qatar
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Wellcome-Wolfson Institute for Experimental Medicine, Queens University, Belfast BT9 7BL, United Kingdom
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | | | | | | | - Adeel A Butt
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States
- Hamad Medical Corporation, Doha, Qatar
| | | | | | | | | | - Gheyath K Nasrallah
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Fatiha M Benslimane
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hebah A Al Khatib
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hadi M Yassine
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | | | | | - Hanan F Abdul-Rahim
- Department of Public Health, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | | | | | | | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine–Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation–Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY 10065, United States
- Department of Public Health, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
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12
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Pourriyahi H, Hajizadeh N, Khosravi M, Pourriahi H, Soleimani S, Hosseini NS, Mohammad AP, Goodarzi A. New variants of COVID-19 (XBB.1.5 and XBB.1.16, the "Arcturus"): A review of highly questioned concerns, a brief comparison between different peaks in the COVID-19 pandemic, with a focused systematic review on expert recommendations for prevention, vaccination, and treatment measures in the general population and at-risk groups. Immun Inflamm Dis 2024; 12:e1323. [PMID: 38938013 PMCID: PMC11211615 DOI: 10.1002/iid3.1323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 04/11/2024] [Accepted: 06/07/2024] [Indexed: 06/29/2024] Open
Abstract
INTRODUCTION The COVID-19 pandemic has taken many forms and continues to evolve, now around the Omicron wave, raising concerns over the globe. With COVID-19 being declared no longer a "public health emergency of international concern (PHEIC)," the COVID pandemic is still far from over, as new Omicron subvariants of interest and concern have risen since January of 2023. Mainly with the XBB.1.5 and XBB.1.16 subvariants, the pandemic is still very much "alive" and "breathing." METHODS This review consists of five highly concerning questions about the current state of the COVID Omicron peak. We searched four main online databases to answer the first four questions. For the last one, we performed a systematic review of the literature, with keywords "Omicron," "Guidelines," and "Recommendations." RESULTS A total of 31 articles were included. The main symptoms of the current Omicron wave include a characteristically high fever, coughing, conjunctivitis (with itching eyes), sore throat, runny nose, congestion, fatigue, body ache, and headache. The median incubation period of the symptoms is shorter than the previous peaks. Vaccination against COVID can still be considered effective for the new subvariants. CONCLUSION Guidelines recommend continuation of personal protective measures, third and fourth dose boosters, along with administration of bivalent messenger RNA vaccine boosters. The consensus antiviral treatment is combination therapy using Nirmatrelvir and Ritonavir, and the consensus for pre-exposure prophylaxis is Tixagevimab and Cilgavimab combination. We hope the present paper raises awareness for the continuing presence of COVID and ways to lower the risks, especially for at-risk groups.
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Affiliation(s)
- Homa Pourriyahi
- Student Research Committee, School of MedicineIran University of Medical SciencesTehranIran
| | - Nima Hajizadeh
- School of MedicineIran University of Medical SciencesTehranIran
| | - Mina Khosravi
- School of MedicineIran University of Medical SciencesTehranIran
| | - Homayoun Pourriahi
- Student Research Committee, School of MedicineIran University of Medical SciencesTehranIran
| | - Sanaz Soleimani
- Student Research Committee, School of MedicineIran University of Medical SciencesTehranIran
- Rasool Akram Medical Complex Clinical Research Development Center (RCRDC), School of MedicineIran University of Medical SciencesTehranIran
| | | | | | - Azadeh Goodarzi
- Department of Dermatology, Rasool Akram Medical Complex Clinical Research Development Center (RCRDC), School of MedicineIran University of Medical SciencesTehranIran
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13
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Musa S, Merdrignac L, Skocibusic S, Nedic R, Cilovic-Lagarija S, Kissling E. BBIBP-CorV vaccine effectiveness against COVID-19 in patients aged 60 years and older during the Delta-dominant period in the Federation of Bosnia and Herzegovina, a test-negative case-control study. Vaccine 2024; 42:3467-3473. [PMID: 38644077 DOI: 10.1016/j.vaccine.2024.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/30/2024] [Accepted: 04/14/2024] [Indexed: 04/23/2024]
Abstract
COVID-19 vaccine uptake in the Federation of Bosnia and Herzegovina (FBiH) accelerated in the second half of 2021, with greater vaccine availability. In this study, we estimated the vaccine effectiveness (VE) of complete primary series BBIBP-CorV vaccine against COVID-19 in patients aged 60 years and older, during the Delta-dominant period, using a test-negative case-control design. Surveillance sites were 11 primary health care centers (PHC) collecting patient data from October 1, 2021, to January 4, 2022, retrospectively according to a common protocol. In total, we included 1711 participants in the analysis: 933 cases and 778 controls. Of the 933 cases, 508 (54.4 %) had mild and 425 (45.6 %) had moderate to severe disease presentation. We observed no effectiveness against mild COVID-19. Overall vaccine effectiveness was 65.0 % (95 %CI: 40.1-79.5) against moderate to severe COVID-19. In time since vaccination analysis, VE was 78.7 % (95 % CI: 54.8-89.9) in patients who received their last dose < 90 days before onset; 66.0 % (95 % CI: -0.5-88.5) in those 90-119 days before onset; 42.1 % (95 % CI: -88.6-82.3) in those 120-149 days before onset and 45.0 % (95 % CI: -94.0-84.4) in those ≥ 150 days before onset. In our study, two doses of BBIBP-CorV provided considerable protection against moderate to severe COVID-19 in older adults, highest within 3 months after second dose, during the Delta-dominant period. Point estimates declined thereafter, suggesting a need for additional doses.
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Affiliation(s)
- Sanjin Musa
- Institute for Public Health of the Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina; Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina.
| | | | - Sinisa Skocibusic
- Institute for Public Health of the Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina
| | - Rozalija Nedic
- Institute for Public Health of the Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina
| | - Seila Cilovic-Lagarija
- Institute for Public Health of the Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina
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14
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Al-Kuwari MG, Mohammed AM, Abdulmajeed J, Al-Romaihi H, Al-Mass M, Abushaikha SS, Albyat S, Nadeem S, Kandy MC. COVID-19 testing, incidence, and positivity trends among school age children during the academic years 2020-2022 in the State of Qatar: special focus on using CDC indicators for community transmission to evaluate school attendance policies and public health response. BMC Pediatr 2024; 24:374. [PMID: 38811909 PMCID: PMC11137921 DOI: 10.1186/s12887-024-04833-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 05/14/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND There exists a gap in our understanding of the age-dependent epidemiological dynamics of SARS-CoV-2 among school-age children in comparison to adults within the State of Qatar. Additionally, there has been limited assessment of the timely implementation of physical distancing interventions, notably national school closures, and their impact on infection trends. METHODS We used the national database to capture all records of polymerase-chain-reaction (PCR) testing, and rapid antigen tests (RAT) conducted at all health care venues in Qatar and administered between August 26, 2020, and August 21, 2022, across all age groups (≥ 5 years old). Study participants under 18 years old were categorized into two age brackets: (5-11) and (12-17), aligning with the Primary and Preparatory/Secondary grade levels in Qatar, respectively. We assessed age group testing rates, incidence rates, and positivity rates in relation to adults. These epidemiological metrics were compared with the CDC's thresholds for COVID-19 community transmission. RESULTS Throughout the school years of 2020-2021 and 2021-2022, a total of 5,063,405 and 6,130,531 tests were respectively conducted. In the 2020-2021 school year, 89.6% of the tests were administered to adults, while 13.7% were conducted on children in the following year. The overall test positivity rates for the 2020-2021 and 2021-2022 school years were 5.8% and 8.1%, respectively. Adolescents underwent the fewest tests during the full study period compared to both adults and young children. Using the CDC indicators, we found that children and adolescents can significantly contribute to elevated infection rates, potentially driving community transmission upon relaxation of social restrictions. CONCLUSION It is crucial to acknowledge the potential for higher transmission among youth and adolescents when formulating transmission control strategies and making decisions regarding school closures. Employing data-driven indicators and thresholds to monitor COVID-19 community levels is important for informing decision-making. These approaches also enable the prompt implementation of infection control transmission mitigation measures in future pandemics.
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Affiliation(s)
- Mohamed Ghaith Al-Kuwari
- Primary Health Care Corporation-Qatar, Corporation, Doha, Qatar
- College of Medicine, Qatar University, Doha, Qatar
| | | | | | | | - Maryam Al-Mass
- Primary Health Care Corporation-Qatar, Corporation, Doha, Qatar
| | | | - Soha Albyat
- Ministry of Public Health- Qatar, Doha, Qatar
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15
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Sukik L, Chemaitelly H, Ayoub HH, Coyle P, Tang P, Yassine HM, Al Thani AA, Hasan MR, Al-Kanaani Z, Al-Kuwari E, Jeremijenko A, Kaleeckal AH, Latif AN, Shaik RM, Abdul-Rahim HF, Nasrallah GK, Al-Kuwari MG, Butt AA, Al-Romaihi HE, Al-Thani MH, Al-Khal A, Bertollini R, Abdel-Rahman ME, Abu-Raddad LJ. Effectiveness of two and three doses of COVID-19 mRNA vaccines against infection, symptoms, and severity in the pre-omicron era: A time-dependent gradient. Vaccine 2024; 42:3307-3320. [PMID: 38616439 DOI: 10.1016/j.vaccine.2024.04.026] [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: 02/29/2024] [Revised: 04/01/2024] [Accepted: 04/04/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Vaccines were developed and deployed to combat severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aimed to characterize patterns in the protection provided by the BNT162b2 and mRNA-1273 mRNA vaccines against a spectrum of SARS-CoV-2 infection symptoms and severities. METHODS A national, matched, test-negative, case-control study was conducted in Qatar between January 1 and December 18, 2021, utilizing a sample of 238,896 PCR-positive tests and 6,533,739 PCR-negative tests. Vaccine effectiveness was estimated against asymptomatic, symptomatic, severe coronavirus disease 2019 (COVID-19), critical COVID-19, and fatal COVID-19 infections. Data sources included Qatar's national databases for COVID-19 laboratory testing, vaccination, hospitalization, and death. RESULTS Effectiveness of two-dose BNT162b2 vaccination was 75.6% (95% CI: 73.6-77.5) against asymptomatic infection and 76.5% (95% CI: 75.1-77.9) against symptomatic infection. Effectiveness against each of severe, critical, and fatal COVID-19 infections surpassed 90%. Immediately after the second dose, all categories-namely, asymptomatic, symptomatic, severe, critical, and fatal COVID-19-exhibited similarly high effectiveness. However, from 181 to 270 days post-second dose, effectiveness against asymptomatic and symptomatic infections declined to below 40%, while effectiveness against each of severe, critical, and fatal COVID-19 infections remained consistently high. However, estimates against fatal COVID-19 often had wide 95% confidence intervals. Analogous patterns were observed in three-dose BNT162b2 vaccination and two- and three-dose mRNA-1273 vaccination. Sensitivity analyses confirmed the results. CONCLUSION A gradient in vaccine effectiveness exists and is linked to the symptoms and severity of infection, providing higher protection against more symptomatic and severe cases. This gradient intensifies over time as vaccine immunity wanes after the last vaccine dose. These patterns appear consistent irrespective of the vaccine type or whether the vaccination involves the primary series or a booster.
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Affiliation(s)
- Layan Sukik
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Houssein H Ayoub
- Mathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Peter Coyle
- Hamad Medical Corporation, Doha, Qatar; Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar; Wellcome-Wolfson Institute for Experimental Medicine, Queens University, Belfast, United Kingdom
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Hadi M Yassine
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Asmaa A Al Thani
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Mohammad R Hasan
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
| | | | | | | | | | | | | | - Hanan F Abdul-Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Gheyath K Nasrallah
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | | | - Adeel A Butt
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA; Hamad Medical Corporation, Doha, Qatar; Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | | | | | | | - Manar E Abdel-Rahman
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA; College of Health and Life Sciences, Hamad bin Khalifa University, Doha, Qatar.
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16
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Livieratos A, Gogos C, Akinosoglou K. Impact of Prior COVID-19 Immunization and/or Prior Infection on Immune Responses and Clinical Outcomes. Viruses 2024; 16:685. [PMID: 38793566 PMCID: PMC11125779 DOI: 10.3390/v16050685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Cellular and humoral immunity exhibit dynamic adaptation to the mutating SARS-CoV-2 virus. It is noteworthy that immune responses differ significantly, influenced by whether a patient has received vaccination or whether there is co-occurrence of naturally acquired and vaccine-induced immunity, known as hybrid immunity. The different immune reactions, conditional on vaccination status and the viral variant involved, bear implications for inflammatory responses, patient outcomes, pathogen transmission rates, and lingering post-COVID conditions. Considering these developments, we have performed a review of recently published literature, aiming to disentangle the intricate relationships among immunological profiles, transmission, the long-term health effects post-COVID infection poses, and the resultant clinical manifestations. This investigation is directed toward understanding the variability in the longevity and potency of cellular and humoral immune responses elicited by immunization and hybrid infection.
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Affiliation(s)
| | - Charalambos Gogos
- Department of Medicine, University of Patras, 26504 Rio, Greece; (C.G.); (K.A.)
| | - Karolina Akinosoglou
- Department of Medicine, University of Patras, 26504 Rio, Greece; (C.G.); (K.A.)
- Department of Internal Medicine and Infectious Diseases, University General Hospital of Patras, 26504 Rio, Greece
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17
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Shengule S, Alai S, Bhandare S, Patil S, Gautam M, Mangaonkar B, Gupta S, Shaligram U, Gairola S. Validation and Suitability Assessment of Multiplex Mesoscale Discovery Immunogenicity Assay for Establishing Serological Signatures Using Vaccinated, Non-Vaccinated and Breakthrough SARS-CoV-2 Infected Cases. Vaccines (Basel) 2024; 12:433. [PMID: 38675815 PMCID: PMC11053742 DOI: 10.3390/vaccines12040433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/12/2024] [Accepted: 03/23/2024] [Indexed: 04/28/2024] Open
Abstract
Antibody responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are multi-targeted and variable over time. Multiplex quantitative serological assays are needed to provide accurate and robust seropositivity data for the establishment of serological signatures during vaccination and or infection. We describe here the validation and evaluation of an electro-chemiluminescence (ECL)-based Mesoscale Discovery assay (MSD) for estimation of total and functional IgG relative to SARS-CoV-2 spike, nucleocapsid and receptor binding (RBD) proteins in human serum samples to establish serological signatures of SARS-CoV-2 natural infection and breakthrough cases. The 9-PLEX assay was validated as per ICH, EMA, and US FDA guidelines using a panel of sera samples, including the NIBSC/WHO reference panel (20/268). The assay demonstrated high specificity and selectivity in inhibition assays, wherein the homologous inhibition was more than 85% and heterologous inhibition was below 10%. The assay also met predetermined acceptance criteria for precision (CV < 20%), accuracy (70-130%) and dilutional linearity. The method's applicability to serological signatures was demonstrated using sera samples (n = 45) representing vaccinated, infected and breakthrough cases. The method was able to establish distinct serological signatures and thus provide a potential tool for seroprevalence of SARS-CoV-2 during vaccination or infection.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Sunil Gairola
- Clinical Bioanalytical Department, Serum Institute of India Pvt. Ltd., Pune 411028, India; (S.S.); (S.A.); (M.G.); (U.S.)
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18
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Tan H, Liu J, Zhang Y. Effects of COVID-19 vaccine safety framing on parental reactions. PLoS One 2024; 19:e0302233. [PMID: 38626128 PMCID: PMC11020397 DOI: 10.1371/journal.pone.0302233] [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: 08/01/2023] [Accepted: 03/29/2024] [Indexed: 04/18/2024] Open
Abstract
As a major concern shared by parents globally, COVID-19 vaccine safety is typically being messaged to the public in a negative frame in many countries. However, whether the COVID-19 vaccine safety framing have an effect on parents when vaccinating their children is unclear. Here we implement an online survey with a convenience sample of 3,861 parents living in mainland China, all over 18 years old and with at least one child under 18. The parents were randomly assigned to receive information about COVID-19 vaccine safety in either a negative frame (incidence of side effects) or a positive frame (the inverse incidence of side effects), to compare parental reactions to a range of questions about communication, risk perception, trust, involvement and behavioral intention. We found that parents were more likely to regard vaccine safety as relevant to policy support and as a higher priority for government when receiving positively framed information (p = 0.002). For some specific subgroups, parents in positive framing group showed lower risk perception and higher trust (p<0.05). This suggests that positive framing of COVID-19 vaccine safety messages show more effective performance than negative framing in terms of involvement, as well as trust and risk perception in specific subgroups, which may lead to a reflection on whether to adjust the current widespread use of negative framing. Our findings inform how governments and health care workers strategically choose the framing design of COVID-19 vaccine safety information, and have important implications for promoting COVID-19 vaccination in children in the future.
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Affiliation(s)
- Hao Tan
- Lushan Lab, Hunan University, Changsha, China
- School of Design, Hunan University, Changsha, China
| | - Jiayan Liu
- Lushan Lab, Hunan University, Changsha, China
- School of Design, Hunan University, Changsha, China
| | - Yingli Zhang
- Lushan Lab, Hunan University, Changsha, China
- School of Design, Hunan University, Changsha, China
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19
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Varea-Jiménez E, Aznar Cano E, Vega-Piris L, Martínez Sánchez EV, Mazagatos C, García San Miguel Rodríguez-Alarcón L, Casas I, Sierra Moros MJ, Iglesias-Caballero M, Vazquez-Morón S, Larrauri A, Monge S. Comparative severity of COVID-19 cases caused by Alpha, Delta or Omicron SARS-CoV-2 variants and its association with vaccination. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2024; 42:187-194. [PMID: 36737369 PMCID: PMC9890374 DOI: 10.1016/j.eimce.2022.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/10/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND This study compares the severity of SARS-CoV-2 infections caused by Alpha, Delta or Omicron variants in periods of co-circulation in Spain, and estimates the variant-specific association of vaccination with severe disease. METHODS SARS-CoV-2 infections notified to the national epidemiological surveillance network with information on genetic variant and vaccination status were considered cases if they required hospitalisation or controls otherwise. Alpha and Delta were compared during June-July 2021; and Delta and Omicron during December 2021-January 2022. Adjusted odds ratios (aOR) were estimated using logistic regression, comparing variant and vaccination status between cases and controls. RESULTS We included 5,345 Alpha and 11,974 Delta infections in June-July and 5,272 Delta and 10,578 Omicron in December-January. Unvaccinated cases of Alpha (aOR: 0.57; 95% CI: 0.46-0.69) or Omicron (0.28; 0.21-0.36) had lower probability of hospitalisation vs. Delta. Complete vaccination reduced hospitalisation, similarly for Alpha (0.16; 0.13-0.21) and Delta (June-July: 0.16; 0.14-0.19; December-January: 0.36; 0.30-0.44) but lower from Omicron (0.63; 0.53-0.75) and individuals aged 65+ years. CONCLUSION Results indicate higher intrinsic severity of the Delta variant, compared with Alpha or Omicron, with smaller differences among vaccinated individuals. Nevertheless, vaccination was associated to reduced hospitalisation in all groups.
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Affiliation(s)
- Elena Varea-Jiménez
- National Centre of Epidemiology - Institute of Health Carlos III, Madrid, Spain
| | - Esteban Aznar Cano
- Centre for the Coordination of Alerts and Health Emergencies - Ministry of Health, Madrid, Spain
| | - Lorena Vega-Piris
- National Centre of Epidemiology - Institute of Health Carlos III, Madrid, Spain
| | - Elena Vanessa Martínez Sánchez
- Centre for the Coordination of Alerts and Health Emergencies - Ministry of Health, Madrid, Spain; CIBER Epidemiology and Public Health, Spain
| | - Clara Mazagatos
- National Centre of Epidemiology - Institute of Health Carlos III, Madrid, Spain; CIBER Epidemiology and Public Health, Spain
| | | | - Inmaculada Casas
- CIBER Epidemiology and Public Health, Spain; National Centre of Microbiology - Institute of Health Carlos III, Madrid, Spain
| | - María José Sierra Moros
- Centre for the Coordination of Alerts and Health Emergencies - Ministry of Health, Madrid, Spain; CIBER Infectious Diseases, Spain
| | | | - Sonia Vazquez-Morón
- National Centre of Microbiology - Institute of Health Carlos III, Madrid, Spain
| | - Amparo Larrauri
- National Centre of Epidemiology - Institute of Health Carlos III, Madrid, Spain; CIBER Epidemiology and Public Health, Spain
| | - Susana Monge
- National Centre of Epidemiology - Institute of Health Carlos III, Madrid, Spain; CIBER Infectious Diseases, Spain.
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20
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Gardner BJ, Kilpatrick AM. Predicting Vaccine Effectiveness for Hospitalization and Symptomatic Disease for Novel SARS-CoV-2 Variants Using Neutralizing Antibody Titers. Viruses 2024; 16:479. [PMID: 38543844 PMCID: PMC10975673 DOI: 10.3390/v16030479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/14/2024] [Accepted: 03/19/2024] [Indexed: 05/23/2024] Open
Abstract
The emergence of new virus variants, including the Omicron variant (B.1.1.529) of SARS-CoV-2, can lead to reduced vaccine effectiveness (VE) and the need for new vaccines or vaccine doses if the extent of immune evasion is severe. Neutralizing antibody titers have been shown to be a correlate of protection for SARS-CoV-2 and other pathogens, and could be used to quickly estimate vaccine effectiveness for new variants. However, no model currently exists to provide precise VE estimates for a new variant against severe disease for SARS-CoV-2 using robust datasets from several populations. We developed predictive models for VE against COVID-19 symptomatic disease and hospitalization across a 54-fold range of mean neutralizing antibody titers. For two mRNA vaccines (mRNA-1273, BNT162b2), models fit without Omicron data predicted that infection with the BA.1 Omicron variant increased the risk of hospitalization 2.8-4.4-fold and increased the risk of symptomatic disease 1.7-4.2-fold compared to the Delta variant. Out-of-sample validation showed that model predictions were accurate; all predictions were within 10% of observed VE estimates and fell within the model prediction intervals. Predictive models using neutralizing antibody titers can provide rapid VE estimates, which can inform vaccine booster timing, vaccine design, and vaccine selection for new virus variants.
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Affiliation(s)
- Billy J. Gardner
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, USA
| | - A. Marm Kilpatrick
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, USA
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21
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Li G, Gerlovin H, Figueroa Muñiz MJ, Wise JK, Madenci AL, Robins JM, Aslan M, Cho K, Gaziano JM, Lipsitch M, Casas JP, Hernán MA, Dickerman BA. Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness. Epidemiology 2024; 35:137-149. [PMID: 38109485 PMCID: PMC11022682 DOI: 10.1097/ede.0000000000001709] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
BACKGROUND Observational studies are used for estimating vaccine effectiveness under real-world conditions. The practical performance of two common approaches-cohort and test-negative designs-need to be compared for COVID-19 vaccines. METHODS We compared the cohort and test-negative designs to estimate the effectiveness of the BNT162b2 vaccine against COVID-19 outcomes using nationwide data from the United States Department of Veterans Affairs. Specifically, we (1) explicitly emulated a target trial using follow-up data and evaluated the potential for confounding using negative controls and benchmarking to a randomized trial, (2) performed case-control sampling of the cohort to confirm empirically that the same estimate is obtained, (3) further restricted the sampling to person-days with a test, and (4) implemented additional features of a test-negative design. We also compared their performance in limited datasets. RESULTS Estimated BNT162b2 vaccine effectiveness was similar under all four designs. Empirical results suggested limited residual confounding by healthcare-seeking behavior. Analyses in limited datasets showed evidence of residual confounding, with estimates biased downward in the cohort design and upward in the test-negative design. CONCLUSION Vaccine effectiveness estimates under a cohort design with explicit target trial emulation and a test-negative design were similar when using rich information from the VA healthcare system, but diverged in opposite directions when using a limited dataset. In settings like ours with sufficient information on confounders and other key variables, the cohort design with explicit target trial emulation may be preferable as a principled approach that allows estimation of absolute risks and facilitates interpretation of effect estimates.
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Affiliation(s)
- Guilin Li
- From the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Hanna Gerlovin
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
| | - Michael J Figueroa Muñiz
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Jessica K Wise
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
| | - Arin L Madenci
- From the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Surgery, Boston Children's Hospital, Boston, MA
| | - James M Robins
- From the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Mihaela Aslan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT
- Department of Medicine, Yale University School of Medicine, New Haven, CT
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - John Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marc Lipsitch
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Miguel A Hernán
- From the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Barbra A Dickerman
- From the CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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22
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Schnitzer ME, Ortiz-Brizuela E, Carabali M, Talbot D. Bias-interpretability Trade-offs in Vaccine Effectiveness Studies Using Test-negative or Cohort Designs. Epidemiology 2024; 35:150-153. [PMID: 38290138 DOI: 10.1097/ede.0000000000001708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Affiliation(s)
- Mireille E Schnitzer
- From the Faculty of Pharmacy, Université de Montréal, Montréal, Québec, Canada
- Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Edgar Ortiz-Brizuela
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
- Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Mabel Carabali
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Denis Talbot
- Department of Social and Preventive Medicine, Université Laval, Québec City, Québec, Canada
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23
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Lu Y, Lindaas A, Matuska K, Izurieta HS, McEvoy R, Menis M, Shi X, Steele WR, Wernecke M, Chillarige Y, Wong HL, Kelman JA, Forshee RA. Real-world Effectiveness of mRNA COVID-19 Vaccines Among US Nursing Home Residents Aged ≥65 Years in the Pre-Delta and High Delta Periods. Open Forum Infect Dis 2024; 11:ofae051. [PMID: 38505296 PMCID: PMC10950043 DOI: 10.1093/ofid/ofae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/25/2024] [Indexed: 03/21/2024] Open
Abstract
Background Long-term care residents were among the most vulnerable during the COVID-19 pandemic. We estimated vaccine effectiveness of mRNA COVID-19 vaccines in Medicare nursing home residents aged ≥65 years during pre-Delta and high Delta periods. Methods We conducted a retrospective cohort study from 13 December 2020 to 20 November 2021 using Medicare claims data. Exposures included 2 and 3 doses of Pfizer-BioNTech and Moderna COVID-19 vaccines. We used inverse probability weighting and Cox proportional hazards models to estimate absolute and relative vaccine effectiveness. Results Two-dose vaccine effectiveness against COVID-19-related death was 69.8% (95% CI, 65.9%‒73.3%) during the pre-Delta period and 55.7% (49.5%‒61.1%) during the high Delta period, without adjusting for time since vaccination. We observed substantial waning of effectiveness from 65.1% (54.2%‒73.5%) within 6 months from second-dose vaccination to 45.2% (30.6%‒56.7%) ≥6 months after second-dose vaccination in the high Delta period. Three doses provided 88.7% (73.5%‒95.2%) vaccine effectiveness against death, and the incremental benefit of 3 vs 2 doses was 74.6% (40.4%‒89.2%) during high Delta. Among beneficiaries with a prior COVID-19 infection, 3-dose vaccine effectiveness for preventing death was 78.6% (50.0%‒90.8%), and the additional protection of 3 vs 2 doses was 70.0% (30.1%‒87.1%) during high Delta. Vaccine effectiveness estimates against less severe outcomes (eg, infection) were lower. Conclusions This nationwide real-world study demonstrated that mRNA COVID-19 vaccines provided substantial protection against COVID-19-related death. Two-dose protection waned after 6 months. Third doses during the high Delta period provided significant additional protection for individuals with or without a prior COVID-19 infection.
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Affiliation(s)
- Yun Lu
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | | | - Hector S Izurieta
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Mikhail Menis
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Whitney R Steele
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | | | - Hui Lee Wong
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Jeffrey A Kelman
- Center for Medicare, Centers for Medicare and Medicaid Services, Washington, DC, USA
| | - Richard A Forshee
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
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24
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Mésidor M, Liu Y, Talbot D, Skowronski DM, De Serres G, Merckx J, Koushik A, Tadrous M, Carazo S, Jiang C, Schnitzer ME. Test negative design for vaccine effectiveness estimation in the context of the COVID-19 pandemic: A systematic methodology review. Vaccine 2024; 42:995-1003. [PMID: 38072756 DOI: 10.1016/j.vaccine.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/23/2023] [Accepted: 12/02/2023] [Indexed: 02/25/2024]
Abstract
BACKGROUND During the height of the global COVID-19 pandemic, the test-negative design (TND) was extensively used in many countries to evaluate COVID-19 vaccine effectiveness (VE). Typically, the TND involves the recruitment of care-seeking individuals who meet a common clinical case definition. All participants are then tested for an infection of interest. OBJECTIVES To review and describe the variation in TND methodology, and disclosure of potential biases, as applied to the evaluation of COVID-19 VE during the early vaccination phase of the pandemic. METHODS We conducted a systematic review by searching four biomedical databases using defined keywords to identify peer-reviewed articles published between January 1, 2020, and January 25, 2022. We included only original articles that employed a TND to estimate VE of COVID-19 vaccines in which cases and controls were evaluated based on SARS-CoV-2 laboratory test results. RESULTS We identified 96 studies, 35 of which met the defined criteria. Most studies were from North America (16 studies) and targeted the general population (28 studies). Outcome case definitions were based primarily on COVID-19-like symptoms; however, several papers did not consider or specify symptoms. Cases and controls had the same inclusion criteria in only half of the studies. Most studies relied upon administrative or hospital databases assembled for a different (non-evaluation) clinical purpose. Potential unmeasured confounding (20 studies), misclassification of current SARS-CoV-2 infection (16 studies) and selection bias (10 studies) were disclosed as limitations by some studies. CONCLUSION We observed potentially meaningful deviations from the validated design in the application of the TND during the COVID-19 pandemic.
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Affiliation(s)
- Miceline Mésidor
- Département de médecine sociale et préventive, Université Laval, Québec, Canada; Centre de recherche du CHU de Québec - Université Laval, Québec, Canada
| | - Yan Liu
- Faculty of Pharmacy, Université de Montréal, Québec, Canada
| | - Denis Talbot
- Département de médecine sociale et préventive, Université Laval, Québec, Canada; Centre de recherche du CHU de Québec - Université Laval, Québec, Canada.
| | - Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver, Canada; University of British Columbia, Vancouver, Canada
| | - Gaston De Serres
- Département de médecine sociale et préventive, Université Laval, Québec, Canada; Institut national de santé publique du Québec, Québec, Canada
| | - Joanna Merckx
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Anita Koushik
- Département de médecine sociale et préventive, Université de Montréal, Québec, Canada
| | | | - Sara Carazo
- Institut national de santé publique du Québec, Québec, Canada
| | - Cong Jiang
- Faculty of Pharmacy, Université de Montréal, Québec, Canada
| | - Mireille E Schnitzer
- Faculty of Pharmacy, Université de Montréal, Québec, Canada; Département de médecine sociale et préventive, Université de Montréal, Québec, Canada.
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25
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Mallela A, Chen Y, Lin YT, Miller EF, Neumann J, He Z, Nelson KE, Posner RG, Hlavacek WS. Impacts of Vaccination and Severe Acute Respiratory Syndrome Coronavirus 2 Variants Alpha and Delta on Coronavirus Disease 2019 Transmission Dynamics in Four Metropolitan Areas of the United States. Bull Math Biol 2024; 86:31. [PMID: 38353870 DOI: 10.1007/s11538-024-01258-4] [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: 05/11/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
To characterize Coronavirus Disease 2019 (COVID-19) transmission dynamics in each of the metropolitan statistical areas (MSAs) surrounding Dallas, Houston, New York City, and Phoenix in 2020 and 2021, we extended a previously reported compartmental model accounting for effects of multiple distinct periods of non-pharmaceutical interventions by adding consideration of vaccination and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants Alpha (lineage B.1.1.7) and Delta (lineage B.1.617.2). For each MSA, we found region-specific parameterizations of the model using daily reports of new COVID-19 cases available from January 21, 2020 to October 31, 2021. In the process, we obtained estimates of the relative infectiousness of Alpha and Delta as well as their takeoff times in each MSA (the times at which sustained transmission began). The estimated infectiousness of Alpha ranged from 1.1x to 1.4x that of viral strains circulating in 2020 and early 2021. The estimated relative infectiousness of Delta was higher in all cases, ranging from 1.6x to 2.1x. The estimated Alpha takeoff times ranged from February 1 to February 28, 2021. The estimated Delta takeoff times ranged from June 2 to June 26, 2021. Estimated takeoff times are consistent with genomic surveillance data.
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Affiliation(s)
- Abhishek Mallela
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
- Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Ye Chen
- Department of Mathematics and Statistics, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Yen Ting Lin
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
- Information Sciences Group, Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Ely F Miller
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Jacob Neumann
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Zhili He
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Kathryn E Nelson
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - Richard G Posner
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA
| | - William S Hlavacek
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
- Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
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26
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Niu J, Samuels S, Sareli C, Mayer D, Visbal A, Sareli AE. Clinical Features and Outcomes of Hospitalized Adult Patients With Breakthrough COVID-19 Infections: A Propensity-Score-Matched Observational Study. Am J Epidemiol 2024; 193:285-295. [PMID: 37823271 DOI: 10.1093/aje/kwad199] [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: 11/21/2022] [Revised: 07/24/2023] [Accepted: 10/05/2023] [Indexed: 10/13/2023] Open
Abstract
In this study, we aimed to evaluate the impact of vaccination on intensive care unit (ICU) admission and in-hospital mortality among breakthrough coronavirus disease 2019 (COVID-19) infections. A total of 3,351 adult patients hospitalized with COVID-19 in the Memorial Healthcare System (Hollywood, Florida) between June 1 and September 20, 2021, were included; 284 (8.5%) were fully vaccinated. A propensity-score-matched analysis was conducted to compare fully vaccinated patients with unvaccinated controls. Propensity scores were calculated on the basis of variables associated with vaccination status. A 1:1 matching ratio was applied using logistic regression models, ensuring balanced characteristics between the two groups. The matched samples were then subjected to multivariate analysis. Among breakthrough infections, vaccinated patients demonstrated lower incidences of ICU admission (10.3% vs. 16.4%; P = 0.042) and death (12.2% vs. 18.7%; P = 0.041) than the matched controls. Risk-adjusted multivariate analysis demonstrated a significant inverse association between vaccination and ICU admission (odds ratio = 0.52, 95% confidence interval: 0.31, 0.89; P = 0.019) as well as in-hospital mortality (odds ratio = 0.57, 95% confidence interval: 0.34, 0.94; P = 0.027). Vaccinated individuals experiencing breakthrough infections had significantly lower risks of ICU admission and in-hospital mortality. These findings highlight the benefits of COVID-19 vaccines in reducing severe outcomes among patients with breakthrough infections.
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27
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Le Bert N, Samandari T. Silent battles: immune responses in asymptomatic SARS-CoV-2 infection. Cell Mol Immunol 2024; 21:159-170. [PMID: 38221577 PMCID: PMC10805869 DOI: 10.1038/s41423-024-01127-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/03/2024] [Accepted: 01/03/2024] [Indexed: 01/16/2024] Open
Abstract
SARS-CoV-2 infections manifest with a broad spectrum of presentations, ranging from asymptomatic infections to severe pneumonia and fatal outcomes. This review centers on asymptomatic infections, a widely reported phenomenon that has substantially contributed to the rapid spread of the pandemic. In such asymptomatic infections, we focus on the role of innate, humoral, and cellular immunity. Notably, asymptomatic infections are characterized by an early and robust innate immune response, particularly a swift type 1 IFN reaction, alongside a rapid and broad induction of SARS-CoV-2-specific T cells. Often, antibody levels tend to be lower or undetectable after asymptomatic infections, suggesting that the rapid control of viral replication by innate and cellular responses might impede the full triggering of humoral immunity. Even if antibody levels are present in the early convalescent phase, they wane rapidly below serological detection limits, particularly following asymptomatic infection. Consequently, prevalence studies reliant solely on serological assays likely underestimate the extent of community exposure to the virus.
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Affiliation(s)
- Nina Le Bert
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
| | - Taraz Samandari
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
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Maeki M, Uno S, Sugiura K, Sato Y, Fujioka Y, Ishida A, Ohba Y, Harashima H, Tokeshi M. Development of Polymer-Lipid Hybrid Nanoparticles for Large-Sized Plasmid DNA Transfection. ACS APPLIED MATERIALS & INTERFACES 2024; 16:2110-2119. [PMID: 38141015 PMCID: PMC10798250 DOI: 10.1021/acsami.3c14714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023]
Abstract
RNA and DNA delivery technologies using lipid nanoparticles (LNPs) have advanced significantly, as demonstrated by their successful application in mRNA vaccines. To date, commercially available RNA therapeutics include Onpattro, a 21 bp siRNA, and mRNA vaccines comprising 4300 nucleotides for COVID-19. However, a significant challenge remains in achieving efficient transfection, as the size of the delivered RNA and DNA increases. In contrast to RNA transfection, plasmid DNA (pDNA) transfection requires multiple steps, including cellular uptake, endosomal escape, nuclear translocation, transcription, and translation. The low transfection efficiency of large pDNA is a critical limitation in the development of artificial cells and their cellular functionalization. Here, we introduce polymer-lipid hybrid nanoparticles designed for efficient, large-sized pDNA transfection. We demonstrated that LNPs loaded with positively charged pDNA-polycation core nanoparticles exhibited a 4-fold increase in transfection efficiency for 15 kbp pDNA compared with conventional LNPs, which encapsulate a negatively charged pDNA-polycation core. Based on assessments of the size and internal structure of the polymer-lipid nanoparticles as well as hemolysis and cellular uptake analysis, we propose a strategy to enhance large-sized pDNA transfection using LNPs. This approach holds promise for accelerating the in vivo delivery of large-sized pDNA and advancing the development of artificial cells.
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Affiliation(s)
- Masatoshi Maeki
- Division
of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
- JST
PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
- Institute
of Materials Structure Science, High Energy
Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - Shuya Uno
- Graduate
School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Kaisei Sugiura
- Graduate
School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Yusuke Sato
- Faculty
of Pharmaceutical Sciences, Hokkaido University, Kita 12 Nishi 8, Kita-ku, Sapporo 060-0812, Japan
| | - Yoichiro Fujioka
- Department
of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita 15 Nishi 7, Kita-ku, Sapporo 060-8638, Japan
| | - Akihiko Ishida
- Division
of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Yusuke Ohba
- Department
of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita 15 Nishi 7, Kita-ku, Sapporo 060-8638, Japan
| | - Hideyoshi Harashima
- Graduate
School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan
| | - Manabu Tokeshi
- JST
PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
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Punj M, Desai A, Hashash JG, Farraye FA, Castillo PR. COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis. Sleep Med X 2023; 6:100089. [PMID: 37881352 PMCID: PMC10594631 DOI: 10.1016/j.sleepx.2023.100089] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/30/2023] [Accepted: 10/11/2023] [Indexed: 10/27/2023] Open
Abstract
Objectives Examine risks for breakthrough COVID-19 infections in vaccinated patients with selected sleep disorders. Methods Real-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co-morbid conditions. Results Of 24,720 patients identified as having a sleep disturbance relating to insomnia, circadian rhythm disorder, or inadequate sleep, 815 (3.2 %) were found to have a developed a BTI. There was a significant increased risk of BTI noted between the sleep disorder and control cohorts (adjusted odds ratio (aOR) of 1.40, 95 % confidence interval (CI) of 1.23-1.58). Subgroup analysis showed an elevated risk for BTI receiving two doses (aOR 1.53, 95 % CI 1.24-1.89) versus three doses (aOR 1.45, 95 % CI 1.24-1.69). Patients with the sleep disturbance were not found to be at an increased risk of hospitalization, intubation, death, or composite outcome of death and intubation. Conclusion The presence of having a diagnosis of insomnia, circadian rhythm disorder, or inadequate sleep was associated with increased risk of COVID-19 breakthrough infection.
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Affiliation(s)
| | - Aakash Desai
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USA
| | - Jana G. Hashash
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USA
| | - Francis A. Farraye
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USA
| | - Pablo R. Castillo
- Department of Allergy, Pulmonary, and Sleep Medicine, Mayo Clinic, Jacksonville, FL, USA
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Pérez P, Albericio G, Astorgano D, Flores S, Sánchez-Corzo C, Sánchez-Cordón PJ, Luczkowiak J, Delgado R, Casasnovas JM, Esteban M, García-Arriaza J. Preclinical immune efficacy against SARS-CoV-2 beta B.1.351 variant by MVA-based vaccine candidates. Front Immunol 2023; 14:1264323. [PMID: 38155964 PMCID: PMC10754519 DOI: 10.3389/fimmu.2023.1264323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023] Open
Abstract
The constant appearance of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VoCs) has jeopardized the protective capacity of approved vaccines against coronavirus disease-19 (COVID-19). For this reason, the generation of new vaccine candidates adapted to the emerging VoCs is of special importance. Here, we developed an optimized COVID-19 vaccine candidate using the modified vaccinia virus Ankara (MVA) vector to express a full-length prefusion-stabilized SARS-CoV-2 spike (S) protein, containing 3 proline (3P) substitutions in the S protein derived from the beta (B.1.351) variant, termed MVA-S(3Pbeta). Preclinical evaluation of MVA-S(3Pbeta) in head-to-head comparison to the previously generated MVA-S(3P) vaccine candidate, expressing a full-length prefusion-stabilized Wuhan S protein (with also 3P substitutions), demonstrated that two intramuscular doses of both vaccine candidates fully protected transgenic K18-hACE2 mice from a lethal challenge with SARS-CoV-2 beta variant, reducing mRNA and infectious viral loads in the lungs and in bronchoalveolar lavages, decreasing lung histopathological lesions and levels of proinflammatory cytokines in the lungs. Vaccination also elicited high titers of anti-S Th1-biased IgGs and neutralizing antibodies against ancestral SARS-CoV-2 Wuhan strain and VoCs alpha, beta, gamma, delta, and omicron. In addition, similar systemic and local SARS-CoV-2 S-specific CD4+ and CD8+ T-cell immune responses were elicited by both vaccine candidates after a single intranasal immunization in C57BL/6 mice. These preclinical data support clinical evaluation of MVA-S(3Pbeta) and MVA-S(3P), to explore whether they can diversify and potentially increase recognition and protection of SARS-CoV-2 VoCs.
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Affiliation(s)
- Patricia Pérez
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Guillermo Albericio
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - David Astorgano
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Sara Flores
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Cristina Sánchez-Corzo
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Pedro J. Sánchez-Cordón
- Pathology Department, Centro de Investigación en Sanidad Animal (CISA), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Joanna Luczkowiak
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
- Instituto de Investigación Hospital Universitario 12 de Octubre (imas12), Madrid, Spain
| | - Rafael Delgado
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
- Instituto de Investigación Hospital Universitario 12 de Octubre (imas12), Madrid, Spain
- Department of Medicine, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - José M. Casasnovas
- Department of Macromolecular Structures, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Mariano Esteban
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Juan García-Arriaza
- Department of Molecular and Cellular Biology, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
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Xu R, Shi G, Zheng S, Tung TH, Zhang M. COVID-19 vaccine hesitancy between family decision-makers and non-decision-makers among college teachers. Ann Med 2023; 55:292-304. [PMID: 36594480 PMCID: PMC9815219 DOI: 10.1080/07853890.2022.2162114] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Teachers with high educational levels significantly impact the health-related knowledge and attitudes of young students and their family members. This study aimed to investigate the coronavirus disease 2019 (COVID-19) vaccine hesitancy and associated factors, and compare the differences between decision-makers and non-decision-makers among college teachers. METHODS A cross-sectional online survey was administered across mainland China from 4 to 7 August 2021. Overall, 251 college teachers were included using snowball sampling. A multivariable logistic regression model was applied to explore the association between decision-makers and hesitancy to receive a COVID-19 vaccine. RESULTS Overall, 42.2% of the teachers were hesitant to being vaccinated against COVID-19. The hesitancy rate was lower among primary decision-makers than that among non-decision-makers (34.8% vs. 60.3%, p < .001). Primary decision-makers were less hesitant regarding COVID-19 vaccination than non-decision-makers (OR = 0.37, 95% CI 0.20-0.70); remarkably, whereas those engaged in nursing education versus non-medical related professional education (OR = 2.67, 95% CI 1.29-5.49), and partial versus full-course vaccination recipients (OR = 4.48, 95% CI: 1.76-11.42) were more likely to be hesitant regarding COVID-19 vaccination. CONCLUSION Our findings indicate that a high proportion of college teachers in China are hesitant to receiving COVID-19 vaccination, and that primary decision-makers are less likely to exhibit hesitancy to being vaccinated against COVID-19 than non-decision-makers in their family. Family decision-makers among teachers can be considered a priority for COVID-19 vaccine promotion, thereby enhancing vaccine acceptance among vulnerable populations-including older adults and children-and preventing adverse outcomes.KEY MESSAGESQuestion: How prevalent is COVID-19 vaccine hesitancy among college teachers? Do differences exist between decision-makers and non-decision-makers?Findings: We found that a substantial proportion of college teachers are hesitant to being vaccinated against COVID-19, and that family decision-makers exhibited a lower hesitancy rate than non-decision-makers.Meaning: Our findings indicate that distinguishing between family decision-makers and non-decision-makers is necessary to facilitate vaccination promotion interventions among college teachers.
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Affiliation(s)
- Rong Xu
- Department of Nursing, Xiamen Medical College, Xiamen, Fujian, China
| | - Guifeng Shi
- Department of Preventive Health Care, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shuo Zheng
- Department of Nursing, Weifang Nursing Vocational College, Qingzhou, Shandong, China
| | - Tao-Hsin Tung
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Meixian Zhang
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
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de La Vega MA, Polychronopoulou E, XIII A, Ding Z, Chen T, Liu Q, Lan J, Nepveu-Traversy ME, Fausther-Bovendo H, Zaidan MF, Wong G, Sharma G, Kobinger GP. SARS-CoV-2 infection-induced immunity reduces rates of reinfection and hospitalization caused by the Delta or Omicron variants. Emerg Microbes Infect 2023; 12:e2169198. [PMID: 36655944 PMCID: PMC9980403 DOI: 10.1080/22221751.2023.2169198] [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: 01/20/2023]
Abstract
During a pandemic, effective vaccines are typically in short supply, particularly at onset intervals when the wave is accelerating. We conducted an observational, retrospective analysis of aggregated data from all patients who tested positive for SARS-CoV-2 during the waves caused by the Delta and Omicron variants, stratified based on their known previous infection and vaccination status, throughout the University of Texas Medical Branch (UTMB) network. Next, the immunity statuses within each medical parameter were compared to naïve individuals for the effective decrease of occurrence. Lastly, we conducted studies using mice and pre-pandemic human samples for IgG responses to viral nucleocapsid compared to spike protein toward showing a functional component supportive of the medical data results in relation to the immunity types. During the Delta and Omicron waves, both infection-induced and hybrid immunities were associated with a trend of equal or greater decrease of occurrence than vaccine-induced immunity in hospitalizations, intensive care unit admissions, and deaths in comparison to those without pre-existing immunity, with hybrid immunity often trending with the greatest decrease. Compared to individuals without pre-existing immunity, those vaccinated against SARS-CoV-2 had a significantly reduced incidence of COVID-19, as well as all subsequent medical parameters. Though vaccination best reduces health risks associated with initial infection toward acquiring immunity, our findings suggest infection-induced immunity is as or more effective than vaccination in reducing the severity of reinfection from the Delta or Omicron variants, which should inform public health response at pandemic onset, particularly when triaging towards the allotment of in-demand vaccinations.
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Affiliation(s)
- Marc-Antoine de La Vega
- Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA
| | | | - Ara XIII
- Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA
| | - Zhe Ding
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China,University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Tong Chen
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China,University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Qixing Liu
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China,University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Jiaming Lan
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | | | | | - Mohammed F. Zaidan
- Department of Internal Medicine, Division of Pulmonary, Critical Care, & Sleep Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Gary Wong
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Gulshan Sharma
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Gary P. Kobinger
- Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA, Gary P. Kobinger Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, 301 University Blvd, Galveston, TX77555, USA
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Yang X, Shi F, Zhang J, Gao H, Chen S, Olatosi B, Weissman S, Li X. Disease severity of COVID-19 in different phases of the pandemic: Do healthcare workers have better outcomes? Vaccine X 2023; 15:100377. [PMID: 37681205 PMCID: PMC10480519 DOI: 10.1016/j.jvacx.2023.100377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/09/2023] Open
Abstract
Background This study aimed to characterize and compare the demographics, clinical profile, and COVID-19 outcomes between healthcare workers (HCWs) and non-HCWs COVID-19 patients diagnosed in different phases of the pandemic defined by the vaccine rollout policy and different variants that circulated in South Carolina (SC). Methods Extracted from the statewide electronic health record data, we analyzed the clinical outcome of 34,502 HCWs and 1,071,020 non-HCWs adults diagnosed with SARS-CoV-2 between March 2, 2020 to April 14, 2022. Logistic regression models were used to explore the association between different pandemic phases and COVID-19 severity-related outcomes. Results Substantial reductions in mortality were observed following the vaccine rollout in non-HCWs and HCWs. Compared to the pre-vaccination period, non-HCWs patients diagnosed during post-vaccination with Alpha predominance (adjusted odds ratio [aOR]: 1.10; 95%CI: 1.04-1.16) were more likely to be hospitalized, but the reduced mortality rates were observed in all post-vaccination periods. Regarding HCWs, a reduced mortality rate was only observed in the pre-Alpha (aOR: 0.33; 95%CI: 0.13-0.84) and Omicron periods (aOR: 0.21; 95%CI: 0.05-0.89). Conclusions The declining protection effect of vaccines informs the importance of early promotion of the booster dose of the COVID-19 vaccine for HCWs who have more occupational exposure.
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Affiliation(s)
- Xueying Yang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Fanghui Shi
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Jiajia Zhang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Haoyuan Gao
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Shujie Chen
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Bankole Olatosi
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Sharon Weissman
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, SC 29208, USA
| | - Xiaoming Li
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
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Reynolds L, Dewey C, Asfour G, Little M. Vaccine efficacy against SARS-CoV-2 for Pfizer BioNTech, Moderna, and AstraZeneca vaccines: a systematic review. Front Public Health 2023; 11:1229716. [PMID: 37942238 PMCID: PMC10628441 DOI: 10.3389/fpubh.2023.1229716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/15/2023] [Indexed: 11/10/2023] Open
Abstract
The purpose of this systematic review was to report on the vaccine efficacy (VE) of three SARS-CoV-2 vaccines approved by Health Canada: Pfizer BioNTech, Moderna, and AstraZeneca. Four databases were searched for primary publications on population-level VE. Ninety-two publications matched the inclusion criteria, and the extracted data were separated by vaccine type: mRNA vaccines (Pfizer and Moderna) and the AstraZeneca vaccine. The median VE for PCR-positive patients and various levels of clinical disease was determined for the first and second doses of both vaccine types against multiple SARS-CoV-2 variants. The median VE for PCR-positive infections against unidentified variants from an mRNA vaccine was 64.5 and 89%, respectively, after one or two doses. The median VE for PCR-positive infections against unidentified variants from the AstraZeneca vaccine was 53.4 and 69.6%, respectively, after one or two doses. The median VE for two doses of mRNA for asymptomatic, symptomatic, and severe infection against unidentified variants was 85.5, 93.2, and 92.2%, respectively. The median VE for two doses of AstraZeneca for asymptomatic, symptomatic, and severe infection against unidentified variants was 69.7, 71, and 90.2%, respectively. Vaccine efficacy numerically increased from the first to the second dose, increased from the first 2 weeks to the second 2 weeks post-vaccination for both doses, but decreased after 4 months from the second dose. Vaccine efficacy did not differ by person's age.
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Affiliation(s)
- Lia Reynolds
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Cate Dewey
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Ghaid Asfour
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Matthew Little
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
- School of Public Health and Social Policy, Faculty of Human and Social Development, University of Victoria, Victoria, BC, Canada
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Ravindran R, Kang H, McReynolds C, Sanghar GK, Chang WLW, Ramasamy S, Kolloli A, Kumar R, Subbian S, Hammock BD, Hartigan-O'Connor DJ, Ikram A, Haczku A, Khan IH. Dynamics of temporal immune responses in nonhuman primates and humans immunized with COVID-19 vaccines. PLoS One 2023; 18:e0287377. [PMID: 37856429 PMCID: PMC10586671 DOI: 10.1371/journal.pone.0287377] [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: 01/10/2023] [Accepted: 06/04/2023] [Indexed: 10/21/2023] Open
Abstract
We assessed the humoral immune responses to a COVID-19 vaccine in a well-controlled rhesus macaque model compared to humans immunized with two mRNA vaccines over several months post-second dose. The plasma IgG levels against seven coronaviruses (including SARS-CoV-2) and antibody subtypes (IgG 1-4 and IgM) against SARS-CoV-2 were evaluated using multiplex assays. The neutralization capacity of plasma antibodies against the original SAR-CoV-2 isolate and nine variants was evaluated in vaccinated humans and non-human primates. Immunization of macaques and humans with SARS-CoV-2 vaccines induced a robust neutralizing antibody response. In non-SIV-infected adult macaques immunized with an adenoviral vector expressing S-RBD (n = 7) or N protein (n = 3), elevated levels of IgG and neutralizing antibodies were detected 2 weeks post-second dose. Immune responses to the S-RBD vaccine in SIV-infected adult macaques (n = 2) were similar to the non-SIV-infected animals. Adult humans immunized with Pfizer (n = 35) or Moderna (n = 18) vaccines developed IgG and neutralizing antibodies at 4 weeks post-second dose. In both vaccine groups, IgG 1 was the predominant subtype, followed by IgG 3. The IgG levels, including total and IgG 1,2,3 elicited by the Moderna vaccine, were significantly higher than the corresponding levels elicited by the Pfizer vaccine at 4 weeks post-second dose. A significant correlation was observed between the plasma total IgG antibody levels and neutralization titers in both macaques and humans. Furthermore, broad-spectrum neutralization antibodies against several variants of SARS-CoV-2 were detected in the plasma of both macaques and humans after two vaccinations.
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Affiliation(s)
- Resmi Ravindran
- Department of Pathology and Laboratory Medicine, University of California, Davis, Davis, California, United States of America
| | - Harsharonjit Kang
- Department of Pathology and Laboratory Medicine, University of California, Davis, Davis, California, United States of America
| | - Cindy McReynolds
- Department of Entomology and Nematology, University of California, Davis, Davis, California, United States of America
| | - Gursharan Kaur Sanghar
- Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California, United States of America
| | - W L William Chang
- California National Primate Research Center, University of California, Davis, Davis, California, United States of America
| | - Santhamani Ramasamy
- Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Afsal Kolloli
- Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Ranjeet Kumar
- Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Selvakumar Subbian
- Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States of America
| | - Bruce D Hammock
- Department of Entomology and Nematology, University of California, Davis, Davis, California, United States of America
| | - Dennis J Hartigan-O'Connor
- California National Primate Research Center, University of California, Davis, Davis, California, United States of America
| | - Aamer Ikram
- National Institutes of Health, Islamabad, Pakistan
| | - Angela Haczku
- Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California, United States of America
| | - Imran H Khan
- Department of Pathology and Laboratory Medicine, University of California, Davis, Davis, California, United States of America
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Chemaitelly H, Ayoub HH, Tang P, Coyle PV, Yassine HM, Al Thani AA, Al-Khatib HA, Hasan MR, Al-Kanaani Z, Al-Kuwari E, Jeremijenko A, Kaleeckal AH, Latif AN, Shaik RM, Abdul-Rahim HF, Nasrallah GK, Al-Kuwari MG, Butt AA, Al-Romaihi HE, Al-Thani MH, Al-Khal A, Bertollini R, Abu-Raddad LJ. History of primary-series and booster vaccination and protection against Omicron reinfection. SCIENCE ADVANCES 2023; 9:eadh0761. [PMID: 37792951 PMCID: PMC10550237 DOI: 10.1126/sciadv.adh0761] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 07/26/2023] [Indexed: 10/06/2023]
Abstract
Laboratory evidence suggests a possibility of immune imprinting for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We investigated the differences in the incidence of SARS-CoV-2 reinfection in a cohort of persons who had a primary Omicron infection, but different vaccination histories using matched, national, retrospective, cohort studies. Adjusted hazard ratio for reinfection incidence, factoring adjustment for differences in testing rate, was 0.43 [95% confidence interval (CI): 0.39 to 0.49] comparing history of two-dose vaccination to no vaccination, 1.47 (95% CI: 1.23 to 1.76) comparing history of three-dose vaccination to two-dose vaccination, and 0.57 (95% CI: 0.48 to 0.68) comparing history of three-dose vaccination to no vaccination. Divergence in cumulative incidence curves increased markedly when the incidence was dominated by BA.4/BA.5 and BA.2.75* Omicron subvariants. The history of primary-series vaccination enhanced immune protection against Omicron reinfection, but history of booster vaccination compromised protection against Omicron reinfection. These findings do not undermine the public health utility of booster vaccination.
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Affiliation(s)
- Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Houssein H. Ayoub
- Mathematics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Peter V. Coyle
- Hamad Medical Corporation, Doha, Qatar
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar
- Wellcome-Wolfson Institute for Experimental Medicine, Queens University, Belfast, UK
| | - Hadi M. Yassine
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Asmaa A. Al Thani
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Hebah A. Al-Khatib
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | | | | | | | | | | | | | | | - Hanan F. Abdul-Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Gheyath K. Nasrallah
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | | | - Adeel A. Butt
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | | | | | | | - Laith J. Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
- College of Health and Life Sciences, Hamad bin Khalifa University, Doha, Qatar
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Dayan GH, Rouphael N, Walsh SR, Chen A, Grunenberg N, Allen M, Antony J, Bhate AS, Beresnev T, Bonaparte MI, Celle M, Ceregido MA, Corey L, Fu B, Grillet MH, Keshtkar-Jahromi M, Juraska M, Kee JJ, Kaali S, Koutsoukos M, Masotti R, Michael NL, Neuzil KM, Reynales H, Robb ML, Uchiyama A, Sawe F, Schuerman L, Shrestha R, Tong T, Treanor J, Diazgranados CA, Chicz RM, Gurunathan S, Savarino S, Sridhar S. Efficacy of a monovalent (D614) SARS-CoV-2 recombinant protein vaccine with AS03 adjuvant in adults: a phase 3, multi-country study. EClinicalMedicine 2023; 64:102168. [PMID: 37936652 PMCID: PMC10626161 DOI: 10.1016/j.eclinm.2023.102168] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 11/09/2023] Open
Abstract
Background The literature on first generation COVID-19 vaccines show they were less effective against new SARS-CoV-2 variants of concern including Omicron (BA.1, BA.2, BA.4 and BA.5 subvariants). New vaccines developed against variant strains may provide cross-protection against emerging variants when used as boosters and facilitate vaccination across a range of countries, healthcare settings and populations. However, there are no data on such vaccines when used as a primary series. Methods A global Phase 3, multi-stage efficacy study (NCT04904549) among adults (≥18 years) was conducted in 53 research centres in eight countries (United States, Honduras, Japan, Colombia, Kenya, India, Ghana, Nepal). Participants were randomized 1:1 to receive two intramuscular injections of a monovalent SARS-CoV-2 recombinant protein vaccine with AS03-adjuvant (10 μg of the spike (S) protein from the ancestral D614 strain) or placebo on Day 1 (D01) and Day 22 (D22). The primary efficacy endpoint was prevention of virologically confirmed SARS-CoV-2 infection with symptoms of COVID-19-like illness (CLI) ≥14 days after the second injection (post-dose 2 [PD2]) in participants who were SARS-CoV-2 naïve on D01 + D22. Safety and reactogenicity were also evaluated. Findings Between May 26 and November 7, 2021, 10,114 participants received ≥1 study injection, and 9441 participants received both injections. 2108 (20.8%) participants were SARS-CoV-2 naïve at D01 and D22. The primary endpoint was analysed in a subset of the full analysis set (the modified full analysis set PD2 [mFAS-PD2], excluding participants who did not complete the vaccination schedule or received vaccination despite meeting one of the contraindication criteria, had onset of symptomatic COVID-19 between the first injection and before 14 days after the second injection, or participants who discontinued before 14 days after the second injection [n = 9377; vaccine, n = 4702; placebo, n = 4675]). Data were available for 2051 SARS-CoV-2 naïve and 7159 non-naïve participants. At the cut-off date (January 28, 2022), symptomatic COVID-19 was reported in 169 naïve participants (vaccine, n = 81; placebo, n = 88) ≥14 days PD2, with a vaccine efficacy (VE) of 15.3% (95% CI, -15.8; 38.2). VE regardless of D01/D22 serostatus was 32.9% (95% CI, 15.3; 47.0) and VE in non-naïve participants was 52.7% (95% CI, 31.2; 67.9). Viral genome sequencing was performed up to the data cut-off point and identified the infecting strain in 99/169 adjudicated cases in the PD2 naïve population (Delta [25], Omicron [72], other variants [3], one participant had infection with both Delta and Omicron variants and has been included in the totals for both Delta and Omicron). The vaccine was well-tolerated with an acceptable safety profile. Interpretation In the context of changing circulating viral variants, it is challenging to induce protection in naïve individuals with a two-dose priming schedule based on the parental D614 strain. However, while the primary endpoint of this trial was not met, the results show that a monovalent D614 vaccine can still be of value in individuals previously exposed to SARS-CoV-2. Funding This study was funded in whole or in part by Sanofi and by federal funds from the Biomedical Advanced Research and Development Authority, part of the office of the Administration for Strategic Preparedness and Response at the U.S. Department of Health and Human Services under contract number HHSO100201600005I, and in collaboration with the U.S. Department of Defense Joint Program Executive Office for Chemical, Biological, Radiological, and Nuclear Defense under contract number W15QKN-16-9-1002. The views presented here are those of the authors and do not purport to represent those of the Department of the Army, the Department of Health and Human Services, or the U.S. government.
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Affiliation(s)
| | | | | | | | | | - Mary Allen
- National Institute of Allergy and Infectious Diseases / National Institutes of Health, Bethedsa, MD, USA
| | | | | | - Tatiana Beresnev
- National Institute of Allergy and Infectious Diseases / National Institutes of Health, Bethedsa, MD, USA
| | | | | | | | | | - Bo Fu
- Sanofi, Swiftwater, PA, USA
| | | | - Maryam Keshtkar-Jahromi
- National Institute of Health, Rockville, MD, USA
- John Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Jia Jin Kee
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Seyram Kaali
- Research and Development Division, Ghana Health Service, Kintampo North Municipality, Ghana
| | | | | | | | | | - Humberto Reynales
- Centro de Attencion e Investigation Medica S.A.S. – Caimed Chía, Chía, Colombia
| | - Merlin L. Robb
- The Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MA, USA
| | | | - Fredrick Sawe
- Kenya Medical Research Institute — US Army Medical Research, Kisumu, Kenya
| | | | - Rajeev Shrestha
- Center for Clinical Trial Studies, Dhulikhel Hospital, Kathmandu University Hospital, Dhulikhel, Nepal
| | - Tina Tong
- National Institute of Allergy and Infectious Diseases / National Institutes of Health, Bethedsa, MD, USA
| | - John Treanor
- Department of Health and Human Services (HHS), Tunnell Government Services in Support of Biomedical Advanced Research and Development Authority (BARDA), Administration for Strategic Preparedness and Response (ASPR), Washington, DC, USA
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Martín-Sánchez V, Ruiz-Garcia A, Vitelli-Storelli F, Serrano-Cumplido A, Barquilla-Garcia A, Micó-Pérez RM, Olmo-Quintana V, Calderón-Montero A, Segura-Fragoso A. Case-fatality rate of SARS-CoV-2 infection during the third and fifth epidemic waves in Spain: Impact of vaccination. Semergen 2023; 49:102026. [PMID: 37356278 PMCID: PMC10227204 DOI: 10.1016/j.semerg.2023.102026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 06/27/2023]
Abstract
INTRODUCTION During the first and second epidemic waves in Spain, the SARS-CoV-2 case-fatality rates (CFRs) showed significant differences between Autonomous Communities (ACs). Comparing CFRs in the third and fifth epidemic waves can provide information on the impact of the different vaccination coverages in the ACs. OBJECTIVE To evaluate the impact of vaccination on COVID-19 CFRs in the third and fifth epidemic waves in Spain, according to sex, age, and AC. METHODS This work is an observational, descriptive study which uses data on COVID-19 infections, deaths, and vaccinees published by the Spanish Ministry of Health and the regional Health Departments of the ACs. The third epidemic wave was defined as the period from 26th December 2020 to 19th April 2021, and the fifth wave, from 19th July to 19th September 2021. The CFRs (deaths per 1000 infected [‰]) were calculated according to sex, age group, and AC. The standardized case-fatality ratio (SCFR) was adjusted for age and sex for each wave. We estimated the correlation between CFRs and their change between the two epidemic waves with the vaccination coverages reached at the beginning of the fifth wave. RESULTS The CFR in the fifth wave (5.7‰) was lower than in the third wave (16.5‰). In addition, the CFR in both waves was significantly higher in men than in women, and in older people than in younger ones. A decrease in the CFR between both waves was only observed in those older than 49. A strong direct and positive correlation (R2a=0.8399) was found between vaccination coverage by age group and decrease in CFR between both epidemic waves. Significant differences were seen between ACs in the two waves, as regards both CFRs and SCFRs. When comparing ACs, a direct correlation was observed between vaccination coverage and CFRs in the fifth wave, and also - although weak - between vaccination coverage and decrease in CFR between both waves. CONCLUSION The CFR significantly decreased in Spain between the third and the fifth epidemic waves in population aged 50 or older, probably due to the high vaccination coverage in that age group. Differences were observed between CFRs and SCFRs between ACs that are not explained by the differences in vaccination coverage, suggesting the need for further research and evaluation.
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Affiliation(s)
- V Martín-Sánchez
- Research Group in Gene-Environment Interactions and Health, Institute of Biomedicine (IBIOMED), University of León, León, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - A Ruiz-Garcia
- Madrid Health Service (SERMAS), Department of Health, Spain
| | - F Vitelli-Storelli
- Research Group in Gene-Environment Interactions and Health, Institute of Biomedicine (IBIOMED), University of León, León, Spain.
| | | | | | - R M Micó-Pérez
- Fontanars dels Alforins Health Center, Xàtiva-Ontinyent Department of Health, 46635 Valencia, Spain
| | - V Olmo-Quintana
- Management Pharmacy Service Primary Health Care, Vice President of Ethical Committee Research with Medicine Hospital Dr. Negrín Gran Canaria Las Palmas (CEI/CEIm) Canary Health Service, Las Palmas, Spain
| | - A Calderón-Montero
- Doctor Pedro Laín Entralgo Health Center, Madrid Health Service (SERMAS), Alcorcón, Madrid, Spain
| | - A Segura-Fragoso
- Health Science Department, Castilla La Mancha University, Talavera de la Reina, Toledo, Spain
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Girgin A, Ileri F, Kaya S, Koca N. Evaluation of the Effects of Coronavirus Vaccination Status on Inpatient Demographics and Clinical and Laboratory Data. Cureus 2023; 15:e47794. [PMID: 38021899 PMCID: PMC10679789 DOI: 10.7759/cureus.47794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Background The coronavirus disease 2019 (COVID-19) pandemic has been largely controlled by vaccines. However, a notable increase in COVID-19 infections has been observed among vaccinated individuals. The protection conferred by vaccination remains a topic of ongoing discussion and research. Our study aims to assess the impact of vaccination status on the demographics, clinical presentations, and laboratory characteristics of patients who were admitted to the hospital and subsequently hospitalized for further evaluation and treatment. Methods We examined hospitalized COVID-19 patients in terms of demographics, immunization status, clinical and laboratory findings, and outcomes over a seven-month period during which the delta variant was prevalent. Patients were categorized into three groups based on their vaccination status: unvaccinated (n=1,321, 53.3%), partially vaccinated (n=214, 8.6%), and fully vaccinated (n=944, 38.1%). Data from these patients were compared across groups. Results The study included 2,479 polymerase chain reaction (PCR)-confirmed hospitalized COVID-19 patients. The median ages (range) for the unvaccinated, partially vaccinated, and fully vaccinated patients who required hospitalization due to COVID-19 infection were 51 (18-98), 61 (21-91), and 71 (23-99), respectively (p<0.001). White blood cell count, neutrophils, monocytes, platelet count, and inflammatory markers such as erythrocyte sedimentation rate, C-reactive protein, procalcitonin, and IL-6, as well as fibrinogen and troponin T levels, were observed to be higher in the fully vaccinated patients compared to the unvaccinated and partially vaccinated patients. Clinical follow-ups showed that the intensive care unit (ICU) admission rates, length of hospital stay, and mortality rates were also higher in the fully vaccinated group compared to the other groups. Conclusion Our findings indicate that full vaccination significantly reduces hospitalization rates in younger individuals with average risk. However, patients with high-risk factors, such as advanced age and multiple comorbidities, exhibited higher hospitalization rates, increased need for intensive care, longer hospital stays, elevated inflammatory markers, and higher mortality even when fully vaccinated. It is crucial for elderly patients to receive thorough evaluations during emergency visits and to be provided with early treatment to reduce potential morbidity and mortality.
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Affiliation(s)
- Ayten Girgin
- Department of Internal Medicine, Bursa City Hospital, Bursa, TUR
| | - Fatih Ileri
- Department of Internal Medicine, Bursa City Hospital, Bursa, TUR
| | - Senem Kaya
- Department of Internal Medicine, Bursa City Hospital, Bursa, TUR
| | - Nizameddin Koca
- Department of Internal Medicine, Bursa City Hospital, Bursa, TUR
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Osman K, Mundodan J, Chowdhury J, Ravi R, Baaboura R, Albuquerque J, Riaz B, Emran RY, Batoul K, Esameldin AM, Al Tabatabaee Z, Khogali H, Albayat S. Pfizer-BioNTech mRNA Vaccine Protection among Children and Adolescents Aged 12-17 Years against COVID-19 Infection in Qatar. Vaccines (Basel) 2023; 11:1522. [PMID: 37896926 PMCID: PMC10610824 DOI: 10.3390/vaccines11101522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/03/2023] [Accepted: 09/18/2023] [Indexed: 10/29/2023] Open
Abstract
Qatar was also hit hard by the global pandemic of SARS-CoV-2, with the original virus, Alpha variant, Beta variant, Omicron BA.1 and BA.2 variants, Omicron BA.4 and BA.5 variants, and Delta variant, sequentially. The two-dose primary series of BNT162b2 (Pfizer-BioNTech) COVID-19 vaccine against SARS-CoV-2 infection has been approved for use in 30 µg formulations among children and adolescents aged 12-17 years as of 16 May 2021. This study aimed at estimating the effectiveness of the 30 µg BNT162b2 Pfizer-BioNTech mRNA COVID-19 vaccine against the pre-Omicron variants of SARS-CoV-2 infection in children and adolescents aged 12-17 years residing in Qatar. A test-negative matched case-control study was conducted. The subjects included any child or adolescent aged 12-17 years who had been tested for SARS-CoV-2 using RT-PCR tests performed on nasopharyngeal or oropharyngeal swabs, as part of contact tracing, between June and November 2021, and was eligible to receive the BNT162b2 vaccine as per the national guidelines. Data regarding 14,161 children/adolescents meeting inclusion-exclusion criteria were retrieved from the national Surveillance and Vaccine Electronic System (SAVES). Of the total, 3.1% (444) were positive for SARS-CoV-2. More than half (55.96%) were vaccinated with two doses of Pfizer-BioNTech-mRNA COVID-19 vaccine. Amongst those immunized with two doses, 1.2% tested positive for SARS-CoV-2, while 5.6% amongst the unvaccinated tested positive. The vaccine effectiveness was calculated to be 79%. Pfizer-BioNTech mRNA COVID-19 vaccine provides protection from COVID-19 infection for children/adolescents; hence, it is crucial to ensure they receive the recommended vaccines.
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Affiliation(s)
- Khadieja Osman
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
| | - Jesha Mundodan
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Juel Chowdhury
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Rejoice Ravi
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Rekayahouda Baaboura
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Jeevan Albuquerque
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Bilal Riaz
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Reem Yusuf Emran
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Khatija Batoul
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
| | - Abdul Mahmood Esameldin
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
| | - Zinah Al Tabatabaee
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
| | - Hayat Khogali
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
| | - Soha Albayat
- National COVID-19 Track & Trace Team, Ministry of Public Health, Doha P.O. Box 42, Qatar; (K.O.); (J.C.); (R.R.); (R.B.); (J.A.); (B.R.); (R.Y.E.); (H.K.); (S.A.)
- Vaccination Section, Ministry of Public Health, Doha P.O. Box 42, Qatar
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Altarawneh HN, Chemaitelly H, Ayoub HH, Tang P, Hasan MR, Yassine HM, Al-Khatib HA, Al Thani AA, Coyle P, Al-Kanaani Z, Al-Kuwari E, Jeremijenko A, Kaleeckal AH, Latif AN, Shaik RM, Abdul-Rahim HF, Nasrallah GK, Al-Kuwari MG, Butt AA, Al-Romaihi HE, Al-Thani MH, Al-Khal A, Bertollini R, Abu-Raddad LJ. Effects of previous infection, vaccination, and hybrid immunity against symptomatic Alpha, Beta, and Delta SARS-CoV-2 infections: an observational study. EBioMedicine 2023; 95:104734. [PMID: 37515986 PMCID: PMC10404859 DOI: 10.1016/j.ebiom.2023.104734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/02/2023] [Accepted: 07/15/2023] [Indexed: 07/31/2023] Open
Abstract
BACKGROUND Protection against SARS-CoV-2 symptomatic infection and severe COVID-19 of previous infection, mRNA two-dose vaccination, mRNA three-dose vaccination, and hybrid immunity of previous infection and vaccination were investigated in Qatar for the Alpha, Beta, and Delta variants. METHODS Six national, matched, test-negative, case-control studies were conducted between January 18 and December 18, 2021 on a sample of 239,120 PCR-positive tests and 6,103,365 PCR-negative tests. FINDINGS Effectiveness of previous infection against Alpha, Beta, and Delta reinfection was 89.5% (95% CI: 85.5-92.3%), 87.9% (95% CI: 85.4-89.9%), and 90.0% (95% CI: 86.7-92.5%), respectively. Effectiveness of two-dose BNT162b2 vaccination against Alpha, Beta, and Delta infection was 90.5% (95% CI, 83.9-94.4%), 80.5% (95% CI: 79.0-82.0%), and 58.1% (95% CI: 54.6-61.3%), respectively. Effectiveness of three-dose BNT162b2 vaccination against Delta infection was 91.7% (95% CI: 87.1-94.7%). Effectiveness of hybrid immunity of previous infection and two-dose BNT162b2 vaccination was 97.4% (95% CI: 95.4-98.5%) against Beta infection and 94.5% (95% CI: 92.8-95.8%) against Delta infection. Effectiveness of previous infection and three-dose BNT162b2 vaccination was 98.1% (95% CI: 85.7-99.7%) against Delta infection. All five forms of immunity had >90% protection against severe, critical, or fatal COVID-19 regardless of variant. Similar effectiveness estimates were observed for mRNA-1273. A mathematical model accurately predicted hybrid immunity protection by assuming that the individual effects of previous infection and vaccination acted independently. INTERPRETATION Hybrid immunity, offering the strongest protection, was mathematically predicted by assuming that the immunities obtained from previous infection and vaccination act independently, without synergy or redundancy. FUNDING The Biomedical Research Program and the Biostatistics, Epidemiology, and the Biomathematics Research Core, both at Weill Cornell Medicine-Qatar, Ministry of Public Health, Hamad Medical Corporation, Sidra Medicine, Qatar Genome Programme, Qatar University Biomedical Research Center, and Qatar University Internal Grant ID QUCG-CAS-23/24-114.
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Affiliation(s)
- Heba N Altarawneh
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA.
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Houssein H Ayoub
- Mathematics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | | | - Hadi M Yassine
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Hebah A Al-Khatib
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Asmaa A Al Thani
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Peter Coyle
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar; Hamad Medical Corporation, Doha, Qatar; Wellcome-Wolfson Institute for Experimental Medicine, Queens University, Belfast, United Kingdom
| | | | | | | | | | | | | | - Hanan F Abdul-Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Gheyath K Nasrallah
- Biomedical Research Center, QU Health, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | | | - Adeel A Butt
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA; Hamad Medical Corporation, Doha, Qatar; Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | | | | | | | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
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Yang G, Li Z, Li Z, Huang L, Liang P, Liu L, Li D. Meta-analysis of the impact of physical activity on the recovery of physical function in COVID-19 patients. Heliyon 2023; 9:e19339. [PMID: 37662802 PMCID: PMC10469390 DOI: 10.1016/j.heliyon.2023.e19339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/05/2023] Open
Abstract
Background The decrease in physical function resulting from COVID-19 infection exerts a substantial negative influence on the quality of life of individuals. Physical activity plays a crucial and irreplaceable role in hastening the elimination of adverse effects on the body caused by acute and chronic diseases. Nevertheless, there have been reports of unfavorable events following physical activity post-COVID-19 infection, sparking debate regarding the efficacy of physical activity as a rehabilitation method to enhance the physical function of COVID-19 patients. Objective The aim of this study is to investigate the impact of physical activity on promoting the restoration of physical function among individuals with COVID-19, and to offer guidance for the advancement and consideration of physical activity in the rehabilitation treatment of COVID-19 patients. Methods A search was conducted on the PubMed and Web of Science core collection databases, with the search period set from January 1, 2020, to February 6, 2023. The included literature was assessed for risk of bias and methodological quality according to the Cochrane Handbook for Systematic Reviews of Interventions, utilizing Review Manager 5.1 software. The outcome measures from the included studies were analyzed, and the quality of evidence for the outcome measures was graded using the GRADE classification criteria. Results The effect of physical activity intervention on improving the 6-Minute Walk Test score in COVID-19 patients was better than that of conventional treatment [WMD = 69.19(95%CI = 39.38, 98.99), I2 = 57%(p = 0.03)]. The effect of physical activity on improving the 30-Second Sit-to-Stand Test score was better than that of conventional treatment [WMD = 2.98(95%CI = 1.91, 4.04), I2 = 0%(p = 0.56)]. There was no significant difference between physical activity and conventional treatment in improving Grip strength in COVID-19 patients [WMD = 2.35(95%CI = -0.49, 5.20), I2 = 0%(p = 0.80)]. The effect of physical activity on improving the Timed Up and Go test score in COVID-19 patients was better than that of conventional treatment [WMD = -1.16(95%CI = -1.98, -0.34), I2 = 4%(p = 0.35)]. The effect of physical activity on improving Forced Vital Capacity in COVID-19 patients was better than that of conventional treatment [WMD = 0.14(95%CI = 0.08, 0.21), I2 = 0%(p = 0.45)]. The effect of physical activity on improving Forced Expiratory Volume in the first second in COVID-19 patients was better than that of conventional treatment [WMD = 0.08(95%CI = 0.02, 0.15), I2 = 52%(p = 0.10)]. Conclusions Physical activity plays a crucial role in facilitating the recovery of exercise capacity and pulmonary function in COVID-19 patients, helping to expedite the restoration of overall physical health. It is crucial for COVID-19 patients to undergo an accurate assessment of their physical condition before engaging in any physical activity.
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Affiliation(s)
- Geng Yang
- Graduate School, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
| | - Zhigan Li
- School of Sports and Health, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
| | - Zhenpeng Li
- Sports Group, Zhongshan Yangxianyi Middle School, Zhongshan, 528403, Guangdong, China
| | - Linjie Huang
- Graduate School, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
| | - Peiyi Liang
- Graduate School, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
| | - Lining Liu
- Graduate School, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
| | - Dingge Li
- Graduate School, Guangzhou Sport University, Guangzhou, 510500, Guangdong, China
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Kroidl I, Winter S, Rubio-Acero R, Bakuli A, Geldmacher C, Eser TM, Déak F, Horn S, Zielke A, Ahmed MIM, Diepers P, Guggenbühl J, Frese J, Bruger J, Puchinger K, Reich J, Falk P, Markgraf A, Fensterseifer H, Paunovic I, Thomschke A, Pritsch M, Riess F, Saathoff E, Hoelscher M, Olbrich L, Castelletti N, Wieser A. Studying temporal titre evolution of commercial SARS-CoV-2 assays reveals significant shortcomings of using BAU standardization for comparison. Virol J 2023; 20:200. [PMID: 37658454 PMCID: PMC10474769 DOI: 10.1186/s12985-023-02167-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 08/24/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Measuring specific anti-SARS-CoV-2 antibodies has become one of the main epidemiological tools to survey the ongoing SARS-CoV-2 pandemic, but also vaccination response. The WHO made available a set of well-characterized samples derived from recovered individuals to allow normalization between different quantitative anti-Spike assays to defined Binding Antibody Units (BAU). METHODS To assess sero-responses longitudinally, a cohort of ninety-nine SARS-CoV-2 RT-PCR positive subjects was followed up together with forty-five vaccinees without previous infection but with two vaccinations. Sero-responses were evaluated using a total of six different assays: four measuring anti-Spike proteins (converted to BAU), one measuring anti-Nucleocapsid proteins and one SARS-CoV-2 surrogate virus neutralization. Both cohorts were evaluated using the Euroimmun Anti-SARS-CoV-2-ELISA anti-S1 IgG and the Roche Elecsys Anti-SARS-CoV-2 anti-S1 assay. RESULTS In SARS-CoV-2-convalesce subjects, the BAU-sero-responses of Euroimmun Anti-SARS-CoV-2-ELISA anti-S1 IgG and Roche Elecsys Anti-SARS-CoV-2 anti-S1 peaked both at 47 (43-51) days, the first assay followed by a slow decay thereafter (> 208 days), while the second assay not presenting any decay within one year. Both assay values in BAUs are only equivalent a few months after infection, elsewhere correction factors up to 10 are necessary. In contrast, in infection-naive vaccinees the assays perform similarly. CONCLUSION The results of our study suggest that the establishment of a protective correlate or vaccination booster recommendation based on different assays, although BAU-standardised, is still challenging. At the moment the characteristics of the available assays used are not related, and the BAU-standardisation is unable to correct for that.
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Affiliation(s)
- Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Simon Winter
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Christof Geldmacher
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Tabea M Eser
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Flora Déak
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Sacha Horn
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Anna Zielke
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Mohamed I M Ahmed
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Paulina Diepers
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Jessica Guggenbühl
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Jonathan Frese
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Jan Bruger
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Kerstin Puchinger
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Jakob Reich
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Philine Falk
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Alisa Markgraf
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Heike Fensterseifer
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, Türkenstraße 87, 80799, Munich, Germany
| | - Angelika Thomschke
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Michael Pritsch
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Friedrich Riess
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Elmar Saathoff
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, Türkenstraße 87, 80799, Munich, Germany
- Center for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, Türkenstraße 87, 80799, Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany.
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.
- Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany.
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, Türkenstraße 87, 80799, Munich, Germany.
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Elamin MY, Maslamani YA, Muaddi MA, Alameer AA, Alqassim AY, Doweri AA, Zaylaee MM, Rayani HY, Darraj AY, Hejri YM, Dahlan AA, Gosadi IM. Real-world effectiveness of COVID-19 vaccines: A retrospective cohort study of vaccinated individuals in Jazan, Saudi Arabia. J Infect Public Health 2023; 16:1512-1517. [PMID: 37349242 PMCID: PMC10268947 DOI: 10.1016/j.jiph.2023.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 06/02/2023] [Accepted: 06/13/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND COVID-19 (Coronavirus Disease 2019) vaccinations are a critical control measure for the coronavirus pandemic that began in 2019. Several COVID-19 vaccines have been developed, and their effectiveness will almost certainly vary. OBJECTIVE This study aimed to assess how effective two doses of the Pfizer and Oxford-AstraZeneca vaccines were in preventing SARS-CoV-2 infection six months after administration. METHODS This is a retrospective cohort study of adult individuals from the Jazan Region of Saudi Arabia who received their second dose of the COVID-19 vaccine [Pfizer and Oxford-AstraZeneca (ASZ)] between April and June 2021. The monitoring and follow-up period continued until the end of January 2022. Data were retrieved from the Health Electronic Surveillance Network and National Vaccination Records. Logistic regression was performed to assess the risk of COVID-19 infection among the vaccinated subjects. RESULTS This study included randomly enrolled 4458 participants in Jazan who received two doses of the COVID-19 vaccine during the research period. The majority of them received the Pfizer vaccine (3136/4458; 70.3%), while the remaining received the ASZ vaccine (1322/4458; 29.7%). The study participants' mean age was 59.7 years, with a male-to-female ratio of 1.9:1.0 (2920:1538). The results showed that the Pfizer and ASZ vaccines' protection against infection decreased from 93.2% and 90.2%, respectively, during the first three months, to 68.5% and 68.1% after a six-month interval. In the current study population, being Saudi Arabian, younger as well as having longer intervals between vaccines or crossing a 6-month period after the second vaccine dose were factors linked to higher rates of breakthrough infections. CONCLUSION Our findings revealed variations in the efficacy of different COVID-19 vaccine types against COVID-19 breakthrough infections. The Pfizer (mRNA-based) vaccine was found to be relatively more effective than the ASZ (DNA-based) vaccine.
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Affiliation(s)
- Mohammed Y Elamin
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Yahya A Maslamani
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Mohammed A Muaddi
- Department of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia
| | - Anwar A Alameer
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Ahmad Y Alqassim
- Department of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia
| | - Abrar A Doweri
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Mutaz M Zaylaee
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Hussain Y Rayani
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Abdulaziz Y Darraj
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Yehya M Hejri
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Abdu A Dahlan
- Public Health Administration; Jazan Health Directorate, Jazan, Saudi Arabia
| | - Ibrahim M Gosadi
- Department of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
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Tamada Y, Takeuchi K, Kusama T, Maeda M, Murata F, Osaka K, Fukuda H. Effectiveness of COVID-19 vaccines against infection in Japan: A test-negative study from the VENUS study. Vaccine 2023; 41:5447-5453. [PMID: 37487845 DOI: 10.1016/j.vaccine.2023.07.035] [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: 11/10/2022] [Revised: 07/03/2023] [Accepted: 07/16/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Although the effectiveness of coronavirus disease 2019 (COVID-19) vaccines is a crucial public health concern, evidence from Western Pacific countries is limited, including Japan. This study aimed to estimate the COVID-19 vaccines effectiveness (VE) against infection during the Delta variant predominance (July-September 2021) in Japan. METHODS We performed a test-negative study using COVID-19 test data of ≥20-year-old residents in four municipalities who were tested in medical institutions between July 1 and September 30, 2021. We extracted COVID-19 test data from healthcare claims data, and the vaccination status at the testing date was ascertained using the Vaccination Record System data. Confirmed positive cases were identified using data from the national system for COVID-19, Health Center Real-time Information-sharing System on COVID-19. Logistic regression analyses were conducted to estimate the odds of testing positive according to vaccination status. VE was calculated as (1 - odds ratio) × 100%. RESULTS This study included 530 positive and 15,650 negative results. Adjusted manufacturer-unspecified VE was 4.1% (95% confidence interval [CI], -36.5-32.6) at 0-13 days after the first dose, 45.2% (95% CI, 13.4-65.3) at ≥14 days after the first dose, 85.2% (95% CI, 69.9-92.7) at 0-13 days after the second dose, and 79.6% (95% CI, 72.6-84.8) at ≥14 days after the second dose. In addition, the VE after the second dose was highest at 14-34 days after the dose (VE, 89.1%; 95% CI, 80.5-93.9). CONCLUSIONS High real-world effectiveness of COVID-19 vaccines, especially two doses, against infection during the Delta variant predominance in Japan was confirmed.
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Affiliation(s)
- Yudai Tamada
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Takeuchi
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan; Division of Statistics and Data Science, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Miyagi, Japan.
| | - Taro Kusama
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Division of Statistics and Data Science, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Miyagi, Japan
| | - Megumi Maeda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Fumiko Murata
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Ken Osaka
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan
| | - Haruhisa Fukuda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
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Dai YC, Lin YC, Ching LL, Tsai JJ, Ishikawa K, Tsai WY, Chen JJ, Nerurkar VR, Wang WK. Determining the Time of Booster Dose Based on the Half-Life and Neutralization Titers against SARS-CoV-2 Variants of Concern in Fully Vaccinated Individuals. Microbiol Spectr 2023; 11:e0408122. [PMID: 37428104 PMCID: PMC10434144 DOI: 10.1128/spectrum.04081-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/20/2023] [Indexed: 07/11/2023] Open
Abstract
Although mRNA-based COVID-19 vaccines reduce the risk of severe disease, hospitalization and death, vaccine effectiveness (VE) against infection and disease from variants of concern (VOC) wanes over time. Neutralizing antibodies (NAb) are surrogates of protection and are enhanced by a booster dose, but their kinetics and durability remain understudied. Current recommendation of a booster dose does not consider the existing NAb in each individual. Here, we investigated 50% neutralization (NT50) titers against VOC among COVID-19-naive participants receiving the Moderna (n = 26) or Pfizer (n = 25) vaccine for up to 7 months following the second dose, and determined their half-lives. We found that the time it took for NT50 titers to decline to 24, equivalent to 50% inhibitory dilution of 10 international units/mL, was longer in the Moderna (325/324/235/274 days for the D614G/alpha/beta/delta variants) group than in the Pfizer (253/252/174/226 days) group, which may account for the slower decline in VE of the Moderna vaccine observed in real-world settings and supports our hypothesis that measuring the NT50 titers against VOC, together with information on NAb half-lives, can be used to dictate the time of booster vaccination. Our study provides a framework to determine the optimal time of a booster dose against VOC at the individual level. In response to future VOC with high morbidity and mortality, a quick evaluation of NAb half-lives using longitudinal serum samples from clinical trials or research programs of different primary-series vaccinations and/or one or two boosters could provide references for determining the time of booster in different individuals. IMPORTANCE Despite improved understanding of the biology of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), the evolutionary trajectory of the virus is uncertain, and the concern of future antigenically distinct variants remains. Current recommendations for a COVID-19 vaccine booster dose are primarily based on neutralization capacity, effectiveness against circulating variants of concern (VOC), and other host factors. We hypothesized that measuring neutralizing antibody titers against SARS-CoV-2 VOC together with half-life information can be used to dictate the time of booster vaccination. Through detailed analysis of neutralizing antibodies against VOC among COVID-19-naive vaccinees receiving either of two mRNA vaccines, we found that the time it took for 50% neutralization titers to decline to a reference level of protection was longer in the Moderna than in the Pfizer group, which supports our hypothesis. In response to future VOC with potentially high morbidity and mortality, our proof-of-concept study provides a framework to determine the optimal time of a booster dose at the individual level.
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Affiliation(s)
- Yu-Ching Dai
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Yen-Chia Lin
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Lauren L. Ching
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
- Pacific Center for Emerging Infectious Diseases, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Jih-Jin Tsai
- Tropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kyle Ishikawa
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Wen-Yang Tsai
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
- Pacific Center for Emerging Infectious Diseases, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - John J. Chen
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Vivek R. Nerurkar
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
- Pacific Center for Emerging Infectious Diseases, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Wei-Kung Wang
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
- Pacific Center for Emerging Infectious Diseases, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
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Yihunie W, Nibret G, Aschale Y. Recent Advances in Messenger Ribonucleic Acid (mRNA) Vaccines and Their Delivery Systems: A Review. Clin Pharmacol 2023; 15:77-98. [PMID: 37554660 PMCID: PMC10405914 DOI: 10.2147/cpaa.s418314] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 07/28/2023] [Indexed: 08/10/2023] Open
Abstract
Messenger ribonucleic acid (mRNA) was found as the intermediary that transfers genetic information from DNA to ribosomes for protein synthesis in 1961. The emergency use authorization of the two covid-19 mRNA vaccines, BNT162b2 and mRNA-1273, is a significant achievement in the history of vaccine development. Because they are generated in a cell-free environment using the in vitro transcription (IVT) process, mRNA vaccines are risk-free. Moreover, chemical modifications to the mRNA molecule, such as cap structures and changed nucleosides, have proved critical in overcoming immunogenicity concerns, achieving sustained stability, and achieving effective, accurate protein production in vivo. Several vaccine delivery strategies (including protamine, lipid nanoparticles (LNPs), polymers, nanoemulsions, and cell-based administration) were also optimized to load and transport RNA into the cytosol. LNPs, which are composed of a cationic or a pH-dependent ionizable lipid layer, a polyethylene glycol (PEG) component, phospholipids, and cholesterol, are the most advanced systems for delivering mRNA vaccines. Moreover, modifications of the four components that make up the LNPs showed to increase vaccine effectiveness and reduce side effects. Furthermore, the introduction of biodegradable lipids improved LNP biocompatibility. Furthermore, mRNA-based therapies are expected to be effective treatments for a variety of refractory conditions, including infectious diseases, metabolic genetic diseases, cancer, cardiovascular and cerebrovascular diseases. Therefore, the present review aims to provide the scientific community with up-to-date information on mRNA vaccines and their delivery systems.
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Affiliation(s)
- Wubetu Yihunie
- Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Getinet Nibret
- Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Yibeltal Aschale
- Department of Medical Laboratory Science, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
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48
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Lotfi H, Mazar MG, Ei NMH, Fahim M, Yazdi NS. Vaccination is the most effective and best way to avoid the disease of COVID-19. Immun Inflamm Dis 2023; 11:e946. [PMID: 37647441 PMCID: PMC10408370 DOI: 10.1002/iid3.946] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 06/26/2023] [Accepted: 07/06/2023] [Indexed: 09/01/2023] Open
Abstract
Most of the vaccines that are effective against SARS-CoV-2 have used the following functional strategies: inactivated viruses, live attenuated viruses, viral vector-based vaccines, subunit vaccines, recombinant proteins, and DNA/RNA vaccines. Among the vaccines that stimulate the host's immune system with the help of DNA are: undergoing Phase 2/3 trials including INO-4800 (International Vaccine Institute; Inovio Pharmaceuticals), Symvivo, Canada-COVID19 (AnGes, Inc.); GX-19 (Genexine, Inc.). BNT162b2 and mRNA-1273 vaccines were made by BioNTech/Pfizer/Fosun Pharma group and Moderna/NIAID group, respectively, which are considered as types of RNA vaccines. Vaccines that are based on the viral vector are AstraZeneca, Sputonium, and Johnson-Jensen. Among the inactive viral vaccines, the following can be mentioned: CoronaVac (Sinovac) WIBP vaccine (Wuhan Institute of Biological Products, Sinopharm), BBIBPCorV (Beijing Institute of Biological Products, Sinopharm), BBV152/Covaxin (Bharat Biotech, ICMR, National Institute of Virology) And among the protein-based/subunit vaccines, the following can be counted: NVX-CoV2373: (Novavax); SCB-2019 vaccine (Clover Biopharmaceuticals AUS Pty Ltd.); Covax-19 (GeneCure Biotechnologies; Vaxine Pty Ltd.) mRNA vaccines, viral vector vaccines, and protein subunit vaccines cannot cause disease because these vaccines stimulate the immune system to produce antibodies against virus proteins instead of the virus itself (or its antigen). MRNA vaccines increase SARS-CoV-2 proteins and ultimately stimulate the production of T and B lymphocytes. The epidemic of HCoVs and their destructive and harmful effects on life has caused the scientific community to seek the production of an effective and efficient vaccine before its catastrophic release. We all need to know that none of us will be healed until the other is healed. The purpose of this review article is to present a selection of existing knowledge in the field of fighting and preventing the coronavirus.
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Affiliation(s)
- Hadi Lotfi
- Leishmaniasis Research CenterSabzevar University of Medical SciencesSabzevarIran
- Department of Medical MicrobiologySabzevar University of Medical SciencesSabzevarIran
| | - Mina G. Mazar
- Department of Medical Laboratory ScienceVarastegan Institute for Medical ScienceMashhadIran
| | - Negar M. H. Ei
- Department of Medical Laboratory ScienceVarastegan Institute for Medical ScienceMashhadIran
| | | | - Nafiseh S. Yazdi
- Department of Pediatrics, Faculty of MedicineSabzevar University of Medical SciencesSabzevarIran
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49
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NeJhaddadgar N, Jafarzadeh M, Khazir Z, Yoosefi Lebni J, Rostami M, Janjani P, Ziapour A. Investigation of the influencing factors with the uptake of the COVID-19 vaccine booster dose among the general population of Ardabil, Iran: A cross-sectional study. Health Sci Rep 2023; 6:e1494. [PMID: 37621386 PMCID: PMC10444984 DOI: 10.1002/hsr2.1494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 07/18/2023] [Accepted: 08/03/2023] [Indexed: 08/26/2023] Open
Abstract
Background and Aims Vaccination is one of the most efficient approaches to combating COVID-19 if it is adequately embraced by the general population. Numerous factors influence the uptake or refusal of the booster dose. The goal of this study was to look at the different factors that affect how the general population in Ardabil feels about getting vaccine boosters (annual boosters) for COVID-19 and to evaluate those feelings. Methods and Materials In the city of Ardabil, general population, perceptions towards the COVID-19 vaccine booster (annual boosters) dose were evaluated using a cross-sectional survey design between January 2 and March 25, 2022. A questionnaire was developed and filled out by 662 subjects via phone calls from healthcare providers. Descriptive statistics, the Chi-square test, the correlation coefficient, and regression analysis were run for the analysis of quantitative data. Results The findings of the research revealed that 238 participants, or 35.9%, had previously gotten the booster dose of the COVID-19 vaccination, while 198 participants, or 29.2%, expressed a desire to do so as soon as feasible. A total of 187 (28.2%) respondents reported not wanting to get a booster dose, and 39 (5.7%) could not decide. In the factors found to affect decisions not to accept regular doses, adverse effects (45.4%) and the presence of misinformation (30%) were the most important. Regression in educational achievement, and following the COVID-19 news showed to be the major predictors of the subjects' attitudes toward the regular COVID-19 vaccine. Conclusion The present findings revealed that low confidence in the efficiency of the booster shot and misinformation are two critical factors to consider in educational planning and interventions.
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Affiliation(s)
- Nazila NeJhaddadgar
- Social Determinants of Health Research CenterArdabil University of Medical SciencesArdabilIran
| | - Mohammad Jafarzadeh
- Department of Infectious Diseases, School of MedicineArdabil University of Medical SciencesArdabilIran
| | - Zahra Khazir
- Tabas School of NursingBirjand University of Medical SciencesBirjandIran
| | - Javad Yoosefi Lebni
- Social Determinants of Health Research CenterLorestan University of Medical SciencesKhorramabadIran
| | - Mohammad Rostami
- Students Research CommitteeParamedical School of Kermanshah University of Medical SciencesKermanshahIran
| | - Parisa Janjani
- Cardiovascular Research Center, Health Institute, Imam‐Ali HospitalKermanshah University of Medical SciencesKermanshahIran
| | - Arash Ziapour
- Cardiovascular Research Center, Health Institute, Imam‐Ali HospitalKermanshah University of Medical SciencesKermanshahIran
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50
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Qassim SH, Chemaitelly H, Ayoub HH, Coyle P, Tang P, Yassine HM, Al Thani AA, Al-Khatib HA, Hasan MR, Al-Kanaani Z, Al-Kuwari E, Jeremijenko A, Kaleeckal AH, Latif AN, Shaik RM, Abdul-Rahim HF, Nasrallah GK, Al-Kuwari MG, Butt AA, Al-Romaihi HE, Al-Thani MH, Al-Khal A, Bertollini R, Abu-Raddad LJ. Population immunity of natural infection, primary-series vaccination, and booster vaccination in Qatar during the COVID-19 pandemic: an observational study. EClinicalMedicine 2023; 62:102102. [PMID: 37533414 PMCID: PMC10393554 DOI: 10.1016/j.eclinm.2023.102102] [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: 04/28/2023] [Revised: 06/29/2023] [Accepted: 06/29/2023] [Indexed: 08/04/2023] Open
Abstract
Background Waning of natural infection protection and vaccine protection highlight the need to evaluate changes in population immunity over time. Population immunity of previous SARS-CoV-2 infection or of COVID-19 vaccination are defined, respectively, as the overall protection against reinfection or against breakthrough infection at a given point in time in a given population. Methods We estimated these population immunities in Qatar's population between July 1, 2020 and November 30, 2022, to discern generic features of the epidemiology of SARS-CoV-2. Effectiveness of previous infection, mRNA primary-series vaccination, and mRNA booster (third-dose) vaccination in preventing infection were estimated, month by month, using matched, test-negative, case-control studies. Findings Previous-infection effectiveness against reinfection was strong before emergence of Omicron, but declined with time after a wave and rebounded after a new wave. Effectiveness dropped after Omicron emergence from 88.3% (95% CI: 84.8-91.0%) in November 2021 to 51.0% (95% CI: 48.3-53.6%) in December 2021. Primary-series effectiveness against infection was 84.0% (95% CI: 83.0-85.0%) in April 2021, soon after introduction of vaccination, before waning gradually to 52.7% (95% CI: 46.5-58.2%) by November 2021. Effectiveness declined linearly by ∼1 percentage point every 5 days. After Omicron emergence, effectiveness dropped from 52.7% (95% CI: 46.5-58.2%) in November 2021 to negligible levels in December 2021. Booster effectiveness dropped after Omicron emergence from 83.0% (95% CI: 65.6-91.6%) in November 2021 to 32.9% (95% CI: 26.7-38.5%) in December 2021, and continued to decline thereafter. Effectiveness of previous infection and vaccination against severe, critical, or fatal COVID-19 were generally >80% throughout the study duration. Interpretation High population immunity against infection may not be sustained beyond a year, but population immunity against severe COVID-19 is durable with slow waning even after Omicron emergence. Funding The Biomedical Research Program and the Biostatistics, Epidemiology, and the Biomathematics Research Core, both at Weill Cornell Medicine-Qatar, Ministry of Public Health, Hamad Medical Corporation, Sidra Medicine, Qatar Genome Programme, Qatar University Biomedical Research Center, and Qatar University Internal Grant ID QUCG-CAS-23/24-114.
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Affiliation(s)
- Suelen H. Qassim
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Hiam Chemaitelly
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Houssein H. Ayoub
- Mathematics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Peter Coyle
- Hamad Medical Corporation, Doha, Qatar
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Wellcome-Wolfson Institute for Experimental Medicine, Queens University, Belfast, United Kingdom
| | - Patrick Tang
- Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Hadi M. Yassine
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Asmaa A. Al Thani
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | - Hebah A. Al-Khatib
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | | | | | | | | | | | | | | | - Hanan F. Abdul-Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Gheyath K. Nasrallah
- Biomedical Research Center, Member of QU Health, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar
| | | | - Adeel A. Butt
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | | | | | | | - Laith J. Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar
- World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
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