Literature DB >> 34241782

Real-world effectiveness of BNT162b2 mRNA vaccine: a meta-analysis of large observational studies.

Chia Siang Kow1,2, Syed Shahzad Hasan3,4.   

Abstract

This paper aims to summarize through meta-analyses the overall vaccine effectiveness of the BNT162b2 mRNA vaccine from observational studies. A systematic literature search with no language restriction was performed in electronic databases to identify eligible observational studies which reported the adjusted effectiveness of the BNT162b2 mRNA vaccine to prevent RT-PCR confirmed COVID-19. Meta-analyses with the random-effects model were used to calculate the pooled hazard ratio (HR) and pooled incidence rate ratio (IRR) at 95% confidence intervals, and the vaccine effectiveness was indicated as (pooled HR - 1)/HR or (pooled IRR - 1)/IRR. Nineteen studies were included for this meta-analysis. The meta-analysis revealed significant protective effect against RT-PCR confirmed COVID-19 ≥ 14 days after the first dose, with vaccine effectiveness of 53% (95% confidence interval 32-68%), and ≥ 7 days after the second dose, with vaccine effectiveness of 95% (95% confidence interval: 96-97%). Despite its effectiveness, reporting vaccine safety data by relevant stakeholders should be encouraged as BNT162b2 mRNA is a new vaccine that has not gained full approval. There have been limited data about vaccine effectiveness among immunocompromised patients; thus, the vaccine should be used cautiously in this patient population.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  BNT162b2; COVID-19; Real world; SARS-CoV-2; Vaccine

Mesh:

Substances:

Year:  2021        PMID: 34241782      PMCID: PMC8266992          DOI: 10.1007/s10787-021-00839-2

Source DB:  PubMed          Journal:  Inflammopharmacology        ISSN: 0925-4692            Impact factor:   4.473


Introduction

The global rollout of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) offers a glimmer of hope toward ending the coronavirus disease 2019 (COVID-19) pandemic. As of the time of writing, there have been with more than 1.7 billion people worldwide received at least one dose of any COVID-19 vaccine, and over 790 million people worldwide are fully vaccinated (Our World in Data 2021). The phase 3 randomized controlled trial of the BNT162b2 mRNA vaccine against SARS-CoV-2 demonstrated the efficacy of 95% in preventing symptomatic COVID-19, which has led to the emergency conditional approval of the vaccine in many countries (Polack et al. 2020). However, it should be noted that the clinical trial was performed in a highly controlled setting that may not simulate the real-world mass rollout of COVID-19 vaccines. Therefore, it is imperative to determine the population-level vaccine effectiveness from the mass vaccination campaigns and to report data on the safety aspects of vaccines. This paper aims to summarize through meta-analyses the overall effectiveness of the BNT162b2 mRNA vaccine from large observational studies, which could be important to inform the development of the public health policy related to mass vaccination.

Methods

A systematic literature search with no language restriction was performed in electronic databases, including PubMed, Google Scholar, Scopus, and preprint servers (medRxiv, Research Square, SSRN), to identify eligible studies published up to June 05, 2021. The search strategy was built based on the following keywords and MeSH terms: “BNT162b2”, “Pfizer”, “BioNTech”, “mRNA vaccine”, “mRNA vaccination”, and “effectiveness”. The reference lists of relevant articles were also reviewed to retrieve additional studies. Two investigators (CSK and SSH) independently performed the literature screening to identify eligible studies. Studies eligible for inclusion were observational studies of any design (case–control, case–cohort, and prospective cohort), which reported the effectiveness of the BNT162b2 mRNA vaccine to prevent reverse transcription–polymerase chain reaction (RT-PCR) confirmed COVID-19 (through comparison between vaccinated and unvaccinated individuals) and adjusted for covariates. For two or more studies which utilized the same data source for their investigations on vaccine effectiveness, we included the one that performed analysis on the latest record. We excluded randomized trials, studies that reported unadjusted effectiveness estimates, studies that reported only non-specific outcomes such as COVID-19-related mortality or COVID-19-related hospitalization, studies where RT-PCR did not use to confirm the diagnosis of COVID-19, and studies that reported vaccine effectiveness against a specific variant(s) of SARS-CoV-2. Our outcome of interest, namely vaccine effectiveness, is defined as a relative reduction in RT-PCR risk confirmed COVID-19 in vaccinated individuals compared with unvaccinated individuals (Weinberg and Szilagyi 2010). Each included study was independently evaluated by two investigators (CSK and SSH), who also extracted the study characteristics. Study characteristics extracted had the first author’s surname, study design, country, sample population, number of participants, the incidence of COVID-19 in both vaccinated and unvaccinated individuals, and adjusted vaccine effectiveness estimates and covariates adjusted. Two investigators (CSK and SSH) assessed the quality of included observational studies using the Newcastle–Ottawa Scale, with a score of > 7 indicating high quality (Wells et al. 2013). Meta-analyses with the random-effects model were used to calculate the pooled hazard ratio (HR), pooled incidence rate ratio (IRR), or pooled odds ratio (OR) at 95% confidence intervals, comparing the incidence of RT-PCR confirmed COVID-19 in vaccinated participants relative to unvaccinated participants, when there were three or more studies reporting the same type of effect measure (either HR, IRR, or OR). The vaccine effectiveness was indicated as (pooled HR − 1)/HR, (pooled IRR − 1)/IRR or (pooled OR − 1)/OR, together with a 95% confidence interval. We examined the heterogeneity between studies using the I2 statistics and the χ2 test, with significant heterogeneity set at > 50% and P < 0.10. All analyses were performed using Meta XL, version 5.3 (EpiGear International, Queensland, Australia).

Results

Our literature search yielded 712 abstracts. After deduplication and application of the eligibility criteria, 38 relevant articles were shortlisted for inclusion through full-text examination (Fig. 1). Of these, 19 studies were excluded since they either did not report vaccine effectiveness, reported non-specific outcomes such as COVID-19-related mortality and COVID-19-related hospitalization, or reported unadjusted effectiveness estimates. Therefore, 19 studies (Angel et al. 2021; Björk et al. 2021; Cabezas et al. 2021; Chung et al. 2021; Dagan et al. 2021; Emborg et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Gras-Valentí et al. 2021; Haas et al. 2021; Hall et al. 2021; Lopez Bernal et al. 2021; Mason et al. 2021; Monge et al. 2021; Pritchard et al. 2021; Regev-Yochay et al. 2021; Shrotri et al. 2021; Swift et al. 2021; Thompson et al. 2021) were included for this meta-analysis; 12 studies (Chung et al. 2021; Dagan et al. 2021; Emborg et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Gras-Valentí et al. 2021; Haas et al. 2021; Lopez Bernal et al. 2021; Mason et al. 2021; Monge et al. 2021; Regev-Yochay et al. 2021) were retrospective in design with seven database reviews (Dagan et al. 2021; Emborg et al. 2021; Glampson et al. 2021; Haas et al. 2021; Mason et al. 2021; Monge et al. 2021; Swift et al. 2021), three retrospective case–control studies (Chung et al. 2021; Gras-Valentí et al. 2021; Lopez Bernal et al. 2021), and two retrospective cohort studies (Fabiani et al. 2021; Regev-Yochay et al. 2021); the remaining seven studies (Björk et al. 2021; Cabezas et al. 2021; Hall et al. 2021; Menni et al. 2021; Shrotri et al. 2021; Thompson et al. 2021; Pritchard et al. 2021) were prospective cohort studies (n = 6) (Cabezas et al. 2021; Hall et al. 2021; Menni et al. 2021; Shrotri et al. 2021; Thompson et al. 2021; Pritchard et al. 2021) and prospective database review (n = 1) (Björk et al. 2021). The included studies (Björk et al. 2021; Dagan et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Haas et al. 2021; Hall et al. 2021; Mason et al. 2021; Menni et al. 2021; Monge et al. 2021; Thompson et al. 2021; Pritchard et al. 2021) were originated from 8 countries: the United Kingdom (n = 6) (Glampson et al. 2021; Hall et al. 2021; Lopez Bernal et al. 2021; Mason et al. 2021; Pritchard et al. 2021; Shrotri et al. 2021), the United States (n = 2) (Swift et al. 2021; Thompson et al. 2021), Canada (n = 1) (Chung et al. 2021) Sweden (n = 1) (Björk et al. 2021), Israel (n = 4) (Angel et al. 2021; Dagan et al. 2021; Haas et al. 2021; Regev-Yochay et al. 2021), Italy (n = 1) (Fabiani et al. 2021), Denmark (n = 1) (Emborg et al. 2021), and Spain (n = 3) (Cabezas et al. 2021; Gras-Valentí et al. 2021; Monge et al. 2021). Study characteristics are depicted in Table 1. The included studies (Angel et al. 2021; Björk et al. 2021; Cabezas et al. 2021; Chung et al. 2021; Dagan et al. 2021; Emborg et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Gras-Valentí et al. 2021; Haas et al. 2021; Hall et al. 2021; Lopez Bernal et al. 2021; Mason et al. 2021; Monge et al. 2021; Pritchard et al. 2021; Regev-Yochay et al. 2021; Shrotri et al. 2021; Swift et al. 2021; Thompson et al. 2021) are deemed moderate-to-good quality with Newcastle–Ottawa Scale ranging from 7 to 8.
Fig. 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram of process of study selection

Table 1

Characteristics of included studies

Study, countryDesignSampleTotal number of participantsIncidence/frequency of COVID-19
Unvaccinated≥ 14 days after dose 1Adjusted estimateUnvaccinated ≥ 21 days after dose 1Adjusted estimate
Hall et al., UKProspective multicenterAdults (aged ≥ 18 years) working in publicly funded hospitals in the United Kingdom23,324137.5 per 100,000 person-days98.6 per 100,000 person-daysHR = 0.44 (0.34–0.57)137.5 per 100,000 person-days79.6 per 100,000 person-daysHR = 0.44 (0.31–0.63)
Mason et al., UKRetrospective database review

Vaccinated: Individuals aged 80–83 who were not residents of care homes and had no prior history of COVID-19

Unvaccinated: Individuals aged 76–79 who were not yet eligible for vaccination

301,46234.0 per 100,000 persons-days28.2 per 100,000 persons-daysIRR = 0.83 (0.63–0.91)30.0 per 100,000 persons-days13.4 per 100,000 persons-daysIRR = 0.45 (0.34–0.59)
Björk et al., SwedenProspective database reviewIndividuals aged 18–64 years residing in Skåne county, Sweden, on 27 December 2020 when vaccinations started805,74142.0 per 100,000 persons-days24.3 per 100,000 persons-daysIRR = 0.58 (0.37–0.86)42.0 per 100,000 persons-days16.7 per 100,000 persons-daysIRR = 0.40 (0.19–0.73)
Dagan et al., IsraelRetrospective database reviewIndividuals insured in Clalit Health Services1,760,152IRR = 0.54 (0.41–0.60)IRR = 0.40 (0.34–0.47)
Pritchard et al., UKProspective cohort studyRandomly selected individuals aged ≥ 16 years373,402OR = 0.33 (0.28–0.39)
Glampson et al., UKRetrospective database reviewAdults aged ≥ 16 years and registered with a general practitioner, or with a resident postcode, in the North West London catchment area2,183,939HR = 0.42 (0.36–0.50)HR = 0.22 (0.18–0.27)
Monge et al., SpainRetrospective database reviewResidents aged ≥ 65 years and residing in elderly homes296,093188.5 per 100,000 persons-day92.4 per 100,000 persons-dayHR = 0.49 (0.48–0.50)155.8 per 100,000 persons-day59.3 per 100,000 persons-dayHR = 0.38 (0.37–0.39)
Fabiani et al., ItalyRetrospective cohort studyFrontline health-care personnel employed at the local health unit that serves the entire province of Treviso in the Veneto region9878103.0 per 100,000 persons-day16.0 per 100,000 persons-dayHR = 0.16 (0.04–0.60)28.0 per 100,000 persons-day27.0 per 100,000 persons-dayHR = 0.15 (0.02–1.35)
Haas et al., IsraelRetrospective database reviewResidents of Israel (ie, the census population) aged 16 years and older154,64891.5 per 100,000 persons-day34.1 per 100,000 persons-dayIRR = 0.42 (0.40–0.45)
Swift et al., USRetrospective database reviewActively employed health-care personnel at the Mayo Clinic71,152IRR = 0.22 (0.18–0.27)
Gras–Valentí et al., Spain

Retrospective

Case–control study

Healthcare personnel at the Department of Health of

General University Hospital of Alicante

268n = 31/91 (34.1%)n = 39/177 (22.0%)OR = 0.47 (0.23–0.99)
Lopez Bernal et al., UKRetrospective test negative case–control studyAdults aged 70 years or older in England who reported having symptoms and tested for COVID-1980,545n = 37,320/126697 (29.5%)n = 811/3285 (24.7)OR = 0.84 (0.77–0.91)n = 37,320/126697 (29.5%)n = 367/2036 (18.0%)OR = 0.61 (0.54–0.69)
Angel et al., IsraelRetrospective cohort studyHealthcare workers at Tel Aviv Sourasky Medical Center6710
Chung et al., CanadaRetrospective test negative case–control studyCommunity-dwelling adults aged ≥ 16 years who were tested for SARS-CoV-2 and had COVID-19 symptoms310,880n = 51,220/302761 (16.9)n = 636/8119 (7.8%)OR = 0.41 (0.38–0.45)
Shrotri et al., UKProspective cohort studyCare home residents aged ≥ 65 years from 310 long-term care facilities4274213.9 per 100,000 persons-day282.6 per 100,000 persons-dayHR = 0.77 (0.37–1.58)213.9 per 100,000 persons-day266.7 per 100,000 persons-dayHR = 0.94 (0.50–1.79)
Regev-Yochay et al., IsraelRetrospective cohort studyHealthcare workers at Sheba Medical Center9650
Emborg et al., DenmarkRetrospective database review5 priority groups: Individuals living in long-term care facilities; ≥ 65 years living at home requiring practical help and personal care; individuals aged 85 and older; frontline health-care workers; individuals with high risk of severe COVID-19864,096HR = 0.93 (0.85–1.01)HR = 0.58 (0.50–0.67)
Thompson et al., USProspective cohort studyHealthcare personnel, first responders, and other essential and frontline workers in eight locations5969121.9 per 100,000 persons–day16.2 per 100,000 persons-dayHR = 0.20 (0.10–0.40)
Cabezas et al., SpainProspective cohort studyNursing home residents28,191266.2 per 100,000 persons-day175.8 per 100,000 persons-dayHR = 0.77 (0.69–0.86)
Nursing home staff26,075138.6 per 100,000 persons-day121.1 per 100,000 persons-dayHR = 0.80 (0.68–0.93)
Healthcare workers in nursing home47,106103.2 per 100,000 persons-day98.9 per 100,000 persons-dayHR = 0.85 (0.77–0.95)

COVID-19 coronavirus disease 2019 HR hazard ratio IRR incidence rate ratio Newcastle–Ottawa Scale OR odds ratio

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram of process of study selection Characteristics of included studies Vaccinated: Individuals aged 80–83 who were not residents of care homes and had no prior history of COVID-19 Unvaccinated: Individuals aged 76–79 who were not yet eligible for vaccination Retrospective Case–control study Healthcare personnel at the Department of Health of General University Hospital of Alicante Age, sex, ethnicity, index of multiple deprivation, working in a care-home, having a patient-facing role in health or social care, presence of long-term health conditions, household size, multigenerational household, rural–urban classification, direct or indirect contact with a hospital or care-home, smoking status, mode of travel to work, work location, visit frequency, geographic area Symptomatic: 149.8 per 100,000 persons-day Asymptomatic: 67.0 per 100,000 persons-day Symptomatic: 4.7 per 100,000 persons-day Asymptomatic: 11.3 per 100,000 persons-day Symptomatic: IRR = 0.03 (0.01–0.06) Asymptomatic: IRR = 0.14 (0.07–0.31) Symptomatic: 146.3 per 100,000 persons-day Asymptomatic: 69.9 per 100,000 persons-day Symptomatic: 2.1 per 100,000 persons-day Asymptomatic: 4.2 per 100,000 persons-day Symptomatic: IRR = 0.02 (0.01–0.06) Asymptomatic: IRR = 0.06 (0.02–0.22) COVID-19 coronavirus disease 2019 HR hazard ratio IRR incidence rate ratio Newcastle–Ottawa Scale OR odds ratio The meta-analysis of eight studies (Cabezas et al. 2021; Emborg et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Hall et al. 2021; Monge et al. 2021; Shrotri et al. 2021; Thompson et al. 2021)  which presented effect measure as HR revealed significant protective effect against RT-PCR confirmed COVID-19 14 days or more after the first dose of BNT162b2 mRNA vaccine (pooled HR = 0.58; 95% confidence interval: 0.45–0.75; Fig. 2), where pooled estimate indicates vaccine effectiveness of 42% (95% confidence interval 25%–55%). Similarly, the meta-analysis of five studies (Björk et al. 2021; Dagan et al. 2021; Haas et al. 2021; Mason et al. 2021; Swift et al. 2021) which presented effect measure as IRR revealed significant protective effect against RT-PCR confirmed COVID-19 14 days or more after the first dose of BNT162b2 mRNA vaccine (pooled IRR = 0.47; 95% confidence interval: 0.32–0.68; Fig. 3), where pooled estimate indicates vaccine effectiveness of 53% (95% confidence interval 32%–68%).
Fig. 2

Pooled hazard ratio (HR) of the incidence of COVID-19 14 as well as 21 days post first dose of vaccine (A) and 7 as well as 14 days post second dose of vaccine (B) relative to no vaccination

Fig. 3

Pooled incident rate ratio (IRR) of the incidence of COVID-19 14 as well as 21 days post first dose of vaccine (A) and 7 as well as 14 days post second dose of vaccine (B) relative to no vaccination

Pooled hazard ratio (HR) of the incidence of COVID-19 14 as well as 21 days post first dose of vaccine (A) and 7 as well as 14 days post second dose of vaccine (B) relative to no vaccination Pooled incident rate ratio (IRR) of the incidence of COVID-19 14 as well as 21 days post first dose of vaccine (A) and 7 as well as 14 days post second dose of vaccine (B) relative to no vaccination Even higher vaccine effectiveness was observed 21 days or more after the first dose of BNT162b2 mRNA vaccine, where the meta-analysis of six studies (Emborg et al. 2021; Fabiani et al. 2021; Glampson et al. 2021; Hall et al. 2021; Monge et al. 2021; Shrotri et al. 2021) which presented effect measure as HR reported pooled HR of 0.42 (95% confidence interval: 0.31–0.57; Fig. 2), and thus vaccine effectiveness of 58% (95% confidence interval: 43%–69%). Likewise, the meta-analysis of three studies (Björk et al. 2021; Dagan et al. 2021; Mason et al. 2021) which presented effect measure as IRR reported pooled IRR of 0.41 (95% confidence interval: 0.36–0.47; Fig. 3), and thus vaccine effectiveness of 59% (95% confidence interval: 53–64%). The recipient of the second dose of the BNT162b2 mRNA vaccine further boosted the vaccine effectiveness. The meta-analysis of three studies (Emborg et al. 2021; Fabiani et al. 2021; Hall et al. 2021) which presented effect measure as HR reported pooled HR of 0.18 (95% confidence interval: 0.16–0.20; Fig. 2) 7 days or more after the second dose, and thus vaccine effectiveness of 82% (95% confidence interval: 80–84%). Similarly, the meta-analysis of five studies (Angel et al. 2021; Björk et al. 2021; Dagan et al. 2021; Haas et al. 2021; Regev-Yochay et al. 2021) which presented effect measure as IRR revealed significant protective effect against RT-PCR confirmed COVID-19 7 days or more after the second dose of BNT162b2 mRNA vaccine (pooled IRR = 0.09; 95% confidence interval: 0.05–0.19; Fig. 3), where pooled estimate indicates vaccine effectiveness of 91% (95% confidence interval 81%–95%). The findings from the meta-analysis of three studies (Chung et al. 2021; Lopez Bernal et al. 2021; Pritchard et al. 2021) which presented effect measure as OR are also consistent (pooled OR = 0.19; 95% confidence interval 0.09–0.40) and show vaccine effectiveness of 81% (95% confidence interval 60%-91%) 7 days or more after the second dose of BNT162b2 mRNA vaccine. The meta-analysis of three studies (Hall et al. 2021; Regev-Yochay et al. 2021; Thompson et al. 2021) which presented effect measure as HR reported pooled HR of 0.12 (95% confidence interval: 0.08–0.16; Fig. 2) 14 days or more after the second dose, and thus vaccine effectiveness of 88% (95% confidence interval: 84%–92%). Likewise, the meta-analysis of three studies (Angel et al. 2021; Haas et al. 2021; Swift et al. 2021) which presented effect measure as IRR revealed significant protective effect against RT-PCR confirmed COVID-19 14 days or more after the second dose of BNT162b2 mRNA vaccine (pooled IRR = 0.04; 95% confidence interval: 0.03–0.05; Fig. 3), where pooled estimate indicates vaccine effectiveness of 96% (95% confidence interval 95–97%).

Discussion

The findings of the meta-analyses align with the phase 3 randomized controlled trial (Polack et al. 2020) of BNT162b2 mRNA vaccine, though with a lower protective rate: 82% after the first dose (versus overall vaccine effectiveness of 48–55% [14–21 days or more] after the first dose in the current study; Fig. 2) and 95% (7 days or more) after the second dose (versus overall vaccine effectiveness of 86–94% [7–14 days or more] after the second dose in the current study; Fig. 3). Variability in the protective rate between clinical trial and real-world studies could stem from the difference in the definition of confirmed COVID-19; confirmed COVID-19 was defined in the clinical trial as the presence of symptoms and positive RT-PCR test for SARS-CoV-2; while the included studies of our meta-analyses, confirmed COVID-19 was defined as positive RT-PCR test for SARS-CoV-2 regardless of the presence of symptoms. In addition, individuals with comorbidities (e.g., hypertension, diabetes, and obesity) who are predisposed to severe COVID-19 constituted only about one-fifth of the study population in phase 3 randomized controlled trial (Polack et al. 2020) of BNT162b2 mRNA vaccine. Individuals with comorbidities (e.g., hypertension, diabetes, and obesity), especially those with old age, are often prioritized in the real-world mass vaccination campaign. Therefore, this could explain the lack of reproducible vaccine efficacy reported from the highly controlled clinical research settings compared to the real-world settings since these individuals with comorbidities mainly constituted the real-world study population. Indeed, elderly individuals with comorbidities often have diminished immune responses to vaccines (Kwetkat and Heppner 2020). Nevertheless, with up to 59% of real-world protective rate after the administration of the first dose of the BNT162b2 mRNA vaccine, it seems reasonable to delay the administration of the second dose in an attempt to allow vaccination in a higher proportion of individuals to reduce the risk of transmission of COVID-19 to an acceptable level. Our study was limited by the fact that included studies were originated in only a few countries. Therefore, the generalizability of our findings is unknown, especially to the countries where variants of concern of SARS-CoV-2 are circulating. Future studies should aim to investigate the vaccine effectiveness against different variants of concern of SARS-CoV-2 and with longer follow-ups to determine the duration of protection against COVID-19. Furthermore, the effectiveness of the BNT162b2 mRNA vaccine among immunocompromised individuals as well as individuals who receive treatment with immunosuppressive therapy should also be investigated since they had been excluded from the participation of phase 3 randomized controlled trial (Polack et al. 2020). Despite its effectiveness, reporting vaccine safety data by relevant stakeholders should be encouraged as BNT162b2 mRNA is a new vaccine that has not gained full approval.
  21 in total

1.  [Effectiveness of the first dose of BNT162b2 vaccine to preventing covid-19 in healthcare personnel.]

Authors:  Paula Gras-Valentí; Pablo Chico-Sánchez; Natividad Algado-Sellés; Natali Juliet Jiménez-Sepúlveda; Isel Lilibeth Gómez-Sotero; Marina Fuster-Pérez; Lidia Cartagena-Llopis; María Sánchez-Valero; Patricia Cerezo-Milán; Iluminada Martínez-Tornero; Laura Tremiño-Sánchez; Verónica Nadal-Morante; Miranda Monerris-Palmer; Ana Esclapez-Martínez; Elena MorenodeArcos-Fuentes; Irene Escalada-Martín; Isabel Escribano-Cañadas; Esperanza Merino-Lucas; Juan Carlos Rodríguez-Díaz; José Sánchez-Payá
Journal:  Rev Esp Salud Publica       Date:  2021-04-29

2.  Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: test negative case-control study.

Authors:  Jamie Lopez Bernal; Nick Andrews; Charlotte Gower; Chris Robertson; Julia Stowe; Elise Tessier; Ruth Simmons; Simon Cottrell; Richard Roberts; Mark O'Doherty; Kevin Brown; Claire Cameron; Diane Stockton; Jim McMenamin; Mary Ramsay
Journal:  BMJ       Date:  2021-05-13

3.  Effectiveness of mRNA COVID-19 vaccines against SARS-CoV-2 infection in a cohort of healthcare personnel.

Authors:  Melanie D Swift; Laura E Breeher; Aaron J Tande; Christopher P Tommaso; Caitlin M Hainy; Haitao Chu; M Hassan Murad; Elie F Berbari; Abinash Virk
Journal:  Clin Infect Dis       Date:  2021-04-26       Impact factor: 9.079

4.  COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study.

Authors:  Victoria Jane Hall; Sarah Foulkes; Ayoub Saei; Nick Andrews; Blanche Oguti; Andre Charlett; Edgar Wellington; Julia Stowe; Natalie Gillson; Ana Atti; Jasmin Islam; Ioannis Karagiannis; Katie Munro; Jameel Khawam; Meera A Chand; Colin S Brown; Mary Ramsay; Jamie Lopez-Bernal; Susan Hopkins
Journal:  Lancet       Date:  2021-04-23       Impact factor: 79.321

5.  Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance data.

Authors:  Eric J Haas; Frederick J Angulo; John M McLaughlin; Emilia Anis; Shepherd R Singer; Farid Khan; Nati Brooks; Meir Smaja; Gabriel Mircus; Kaijie Pan; Jo Southern; David L Swerdlow; Luis Jodar; Yeheskel Levy; Sharon Alroy-Preis
Journal:  Lancet       Date:  2021-05-05       Impact factor: 79.321

6.  Decreased infectivity following BNT162b2 vaccination: A prospective cohort study in Israel.

Authors:  Gili Regev-Yochay; Sharon Amit; Moriah Bergwerk; Marc Lipsitch; Eyal Leshem; Rebecca Kahn; Yaniv Lustig; Carmit Cohen; Ram Doolman; Arnona Ziv; Ilya Novikov; Carmit Rubin; Irena Gimpelevich; Amit Huppert; Galia Rahav; Arnon Afek; Yitshak Kreiss
Journal:  Lancet Reg Health Eur       Date:  2021-07-07

7.  North West London Covid-19 Vaccination Programme: Real-world evidence for Vaccine uptake and effectiveness: Retrospective Cohort Study.

Authors:  Ben Glampson; James Brittain; Amit Kaura; Abdulrahim Mulla; Luca Mercuri; Stephen J Brett; Paul Aylin; Tessa Sandall; Ian Goodman; Julian Redhead; Kavitha Saravanakumar; Erik K Mayer
Journal:  JMIR Public Health Surveill       Date:  2021-07-08

8.  Direct and Indirect Effectiveness of mRNA Vaccination against Severe Acute Respiratory Syndrome Coronavirus 2 in Long-Term Care Facilities, Spain.

Authors:  Susana Monge; Carmen Olmedo; Belén Alejos; María Fé Lapeña; María José Sierra; Aurora Limia
Journal:  Emerg Infect Dis       Date:  2021-07-27       Impact factor: 6.883

View more
  22 in total

1.  The Effectiveness of COVID-19 Vaccines in Preventing Hospitalizations During the Delta Wave: A Patient-Population Study at a Major Referral Center.

Authors:  Ahmad Salman; Ghaidaa Elsaddik; Zeinab El Mawla; Rim Masri; Matina Hamadeh; Amena Khatoon; Michelle W Saliba; Afaf Michel Minari; Mahmoud Hassoun; Pierre Abi Hanna
Journal:  Cureus       Date:  2022-06-17

2.  Evaluation of the Real-World Effectiveness of Vaccines against COVID-19 at a Local Level: Protocol for a Test-Negative Case-Control Study.

Authors:  Cátia Brazete; Marta Pinto; Lígia Sá; Ana Aguiar; Filipe Alves; Raquel Duarte
Journal:  Vaccines (Basel)       Date:  2022-05-23

3.  Opposing Mechanisms Involving Perceived Benefits versus Safety Partially Explained an Increase in COVID-19 Vaccination Intention among Unvaccinated Chinese Adults during a Post-Rollout Period: Results of Two Serial Surveys.

Authors:  Yanqiu Yu; Joseph T F Lau; Mason M C Lau
Journal:  Vaccines (Basel)       Date:  2021-11-30

4.  A systematic review of methodological approaches for evaluating real-world effectiveness of COVID-19 vaccines: Advising resource-constrained settings.

Authors:  Yot Teerawattananon; Thunyarat Anothaisintawee; Chatkamol Pheerapanyawaranun; Siobhan Botwright; Katika Akksilp; Natchalaikorn Sirichumroonwit; Nuttakarn Budtarad; Wanrudee Isaranuwatchai
Journal:  PLoS One       Date:  2022-01-11       Impact factor: 3.240

5.  Systemic COVID-19 Vaccination Enhances the Humoral Immune Response after SARS-CoV-2 Infection: A Population Study from a Hospital in Poland Criteria for COVID-19 Reimmunization Are Needed.

Authors:  Piotr Kosiorek; Dorota Elżbieta Kazberuk; Anna Hryniewicz; Robert Milewski; Samuel Stróż; Anna Stasiak-Barmuta
Journal:  Vaccines (Basel)       Date:  2022-02-19

6.  Duration of effectiveness of vaccines against SARS-CoV-2 infection and COVID-19 disease: results of a systematic review and meta-regression.

Authors:  Daniel R Feikin; Melissa M Higdon; Laith J Abu-Raddad; Nick Andrews; Rafael Araos; Yair Goldberg; Michelle J Groome; Amit Huppert; Katherine L O'Brien; Peter G Smith; Annelies Wilder-Smith; Scott Zeger; Maria Deloria Knoll; Minal K Patel
Journal:  Lancet       Date:  2022-02-23       Impact factor: 79.321

7.  The effectiveness of BNT162b2 mRNA vaccine against COVID-19 caused by Delta variant of SARS-CoV-2: a systematic review and meta-analysis.

Authors:  Chia Siang Chia Kow; Dinesh Sangarran Ramachandram; Syed Shahzad Hasan
Journal:  Inflammopharmacology       Date:  2022-01-31       Impact factor: 5.093

8.  Breakthrough infections after COVID-19 vaccination: Insights, perspectives and challenges.

Authors:  Evropi Amanatidou; Anna Gkiouliava; Eva Pella; Maria Serafidi; Dimitrios Tsilingiris; Natalia G Vallianou; Irene Karampela; Maria Dalamaga
Journal:  Metabol Open       Date:  2022-03-17

9.  Construction of the Enterococcal Strain Expressing Immunogenic Fragment of SARS-Cov-2 Virus.

Authors:  Alexander Suvorov; Tatiana Gupalova; Yulia Desheva; Tatiana Kramskaya; Elena Bormotova; Irina Koroleva; Olga Kopteva; Galina Leontieva
Journal:  Front Pharmacol       Date:  2022-01-05       Impact factor: 5.810

10.  Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021.

Authors:  Taro Kusama; Sakura Kiuchi; Kenji Takeuchi; Takaaki Ikeda; Noriko Nakazawa; Anna Kinugawa; Ken Osaka; Takahiro Tabuchi
Journal:  Healthcare (Basel)       Date:  2022-03-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.