| Literature DB >> 36091533 |
Kazem Rahmani1, Rasoul Shavaleh1, Mahtab Forouhi2, Hamideh Feiz Disfani3, Mostafa Kamandi4, Rozita Khatamian Oskooi5, Molood Foogerdi5, Moslem Soltani6, Maryam Rahchamani7, Mohammad Mohaddespour3, Mostafa Dianatinasab8.
Abstract
Background: Vaccination, one of the most important and effective ways of preventing infectious diseases, has recently been used to control the COVID-19 pandemic. The present meta-analysis study aimed to evaluate the effectiveness of COVID-19 vaccines in reducing the incidence, hospitalization, and mortality from COVID-19.Entities:
Keywords: COVID-19; SARS-CoV2 infection; effectiveness; hospitalization; mortality; vaccination
Mesh:
Substances:
Year: 2022 PMID: 36091533 PMCID: PMC9459165 DOI: 10.3389/fpubh.2022.873596
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1PRISMA flow diagram of the studies included in the meta-analysis.
Incidence rate of SARS-CoV-2 infection after the first and second doses in people with a history of COVID-19 vaccination.
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| Noa Dagan ( | Israel | BNT162b2 mRNA | Prospective cohort study | Age of ≥16 and older | 3,533 | 2,62,180 | 3,971 | 2,61,625 | 0.888 | - | - | - | - | - |
| Hall V. FFPH ( | UK | BNT162b2 mRNA | Prospective cohort study | Healthcare workers. | 71 | 87,278 | 977 | 7,10,587 | 0.592 | 9 | 20,978 | 977 | 7,10,587 | 0.312 |
| Massimo Fabiani ( | Italy | BNT162b2 mRNA | Retrospective cohort | Healthcare workers. | 60 | 73,914 | 128 | 62,331 | 0.395 | 0 | 35,596 | 11 | 14,186 | 0 |
| Eric J. Haas ( | Israel | BNT162b2 mRNA | Prospective cohort study | Age of 16 and older. | - | - | - | - | 6266 | 20,18,82,183 | 1,09,876 | 12,00,76,136 | 0.034 | |
| M. G. Thompson ( | USA | BNT162b2 mRNA | Prospective cohort study | Health care workers | 8 | 49,516 | 156 | 1,27,971 | 0.133 | 3 | 1,20,653 | 156 | 1,27,971 | 0.02 |
| Sara Y. Tartof ( | USA | BNT162b2 mRNA | Retrospective cohort | Health care workers. | 585 | 1,29,86,040 | 1,60,280 | 44,95,93,130 | 0.126 | 3414 | 10,94,42,695 | 1,60,280 | 44,95,93,130 | 0.088 |
| Madhumita Shrotri ( | UK | BNT162b2 mRNA | Prospective cohort study | Aged 65 years and older | 50 | 17,690 | 723 | 3,38,003 | 1.321 |
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| Yoel Angel ( | Israel | BNT162b2 mRNA | Retrospective cohort | Healthcare workers | 68 | 1,17,389 | 45 | 15,091 | 0.194 | 27 | 1,68,571 | 55 | 25,359 | 0.074 |
| Colin Pawlowski ( | USA | BNT162b2 mRNA | Retrospective cohort | Aged ≥18 years. | 401 | 29,42,986 | 1,232 | 28,51,069 | 0.315 | 82 | 19,14,500 | 563 | 18,28,464 | 0.139 |
| Gili Regev-Yochay ( | Israel | BNT162b2 mRNA | Prospective cohort study | Healthcare workers | 30 | 54,832 | 115 | 1,99,126 | 0.947 | 19 | 3,29,071 | 115 | 1,99,126 | 0.1 |
| Arjun Puranik ( | USA | BNT162b2 mRNA | Retrospective cohort | Aged ≥18 years | 58 | 1,80,675 | 69 | 1,80,614 | 0.84 | 72 | 23,32,005 | 321 | 25,26,895 | 0.243 |
| Mark A. Katz ( | Israel | BNT162b2 mRNA | Prospective cohort study | Healthcare workers |
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| 4 | 68,574 | 9 | 10,027 | 0.065 | |
| Carmen Cabezas ( | Catalonia | BNT162b2 mRNA | Prospective cohort study | Healthcare workers | 358 | 55,28,745 | 1,961 | 22,69,003 | 0.075 | 222 | 48,77,162 | 961 | 22,69,003 | 0.107 |
| Aharona Freedman ( | Israel | BNT162b2 mRNA | Retrospective cohort | Aged ≥16 years | 7,166 | 1,42,89,253 | 1,33,994 | 11,97,01,675 | 0.448 | 1639 | 1,40,60,250 | 95,655 | 8,95,35,711 | 0.109 |
| Galia Zacay ( | Israel | BNT162b2 mRNA | Retrospective cohort | Aged ≥16 years | 59 | 28,727 | 382 | 71,797 | 0.386 | 15 | 26,260 | 382 | 71,797 | 0.107 |
| Victoria Jane Hall ( | UK | BNT162b2 mRNA | Prospective cohort study | Healthcare workers | 71 | 87,278 | 977 | 7,10,587 | 0.592 | 9 | 20,978 | 977 | 7,10,587 | 0.312 |
| Hanne-Dorthe Emborg ( | Denmark | BNT162b2 mRNA | Prospective cohort study | Prioritized risk groups, | 610 | 44,15,441 | 13,297 | 5,51,31,206 | 0.573 | 304 | 1,36,12,638 | 13,297 | 5,51,31,206 | 0.093 |
| Jonas Björk ( | Sweden | BNT162b2 mRNA | Prospective cohort study | Aged 18-64 years, | 25 | 1,02,830 | 4,155 | 99,02,620 | 0.579 | 8 | 1,33,616 | 4,155 | 99,02,620 | 0.143 |
| Susana Monge ( | Spain | BNT162b2 mRNA | Prospective cohort study | Aged ≥65 years | 2,690 | 2,18,621 | 22 | 2,128 | 1.19 | 885 | 2,07,774 | 20 | 1,997 | 0.425 |
| Madhumita Shrotri ( | UK | ChAdOx1 | Prospective cohort study | Aged ≥65 years | 82 | 32,672 | 723 | 3,38,003 | 1.173 | - | - | - | - |
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| Subhadeep Ghosh ( | India | ChAdOx1 | Prospective cohort study | Healthcare workers | 1,159 | 4,96,53,918 | 10,061 | 10,65,94,492 | 0.247 | 2512 | 5,86,74,639 | 10,061 | 10,65,94,492 | 0.454 |
| M.G. Thompson ( | USA | mRNA-1273 | Prospective cohort study | Health care workers | 3 | 31,231 | 156 | 1,27,971 | 0.079 | 2 | 40,394 | 156 | 1,27,971 | 0.041 |
| Colin Pawlowski ( | USA | mRNA-1273 | Retrospective cohort | Aged ≥18 years. | 97 | 9,46,890 | 303 | 9,27,716 | 0.314 | 7 | 4,95,550 | 101 | 4,78,322 | 0.067 |
| Arjun Puranik ( | USA | mRNA-1273 | Retrospective cohort | Aged ≥18 years | 74 | 1,80,810 | 69 | 1,80,614 | 1.071 | 38 | 22,14,873 | 321 | 25,26,895 | 0.135 |
| Mark G. Thompson ( | USA | Combination | Prospective cohort study | Healthcare workers | 8 | 41,856 | 161 | 1,16,657 | 0.138 | 3 | 78,902 | 161 | 1,16,657 | 0.028 |
| Ashley Fowlkes ( | USA | Combination | Prospective cohort study | Healthcare workers | - | - | - | - | 34 | 4,54,832 | 194 | 1,81,357 | 0.07 | |
| Tara C. Bouton ( | USA | Combination | Prospective cohort study | Healthcare workers, | 29 | 2,51,790 | 329 | 4,06,387 | 0.142 | - | - | - | - |
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Rate Ratio computed.
BNT162b2 mRNA and mRNA-1273 and ChAdOx1.
Hazard ratio of SARS-COV 2 infection and COVID-19-related mortality in patients with a history of first- and second-dose vaccination.
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| Hall V. FFPH ( | BNT162b2 mRNA | UK | Prospective cohort study | Healthcare workers. | 0.3 | 0.15 | 0.45 | 0.15 | 0.04 | 0.26 |
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| Amadea Britton ( | BNT162b2 mRNA | USA | Retrospective cohort | - | 0.37 | 0.21 | 0.67 |
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| Adeel A. Butt ( | BNT162b2 mRNA | Qatar | Prospective cohort study | - |
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| 0.35 | 0.22 | 0.55 |
| Ioannis Baltas ( | BNT162b2 mRNA | UK | Case–control study | - |
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| 0.34 | 0.178 | 0.651 | |||
| M. G. Thompson ( | BNT162b2 mRNA | USA | Prospective cohort study | Healthcare workers | 0.2 | 0.1 | 0.4 | 0.07 | 0.02 | 0.22 |
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| Sara Y. Tartof ( | BNT162b2 mRNA | USA | Retrospective cohort | Aged ≥12 years. | 0.42 | 0.39 | 0.46 | 0.27 | 0.26 | 0.28 |
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| Madhumita Shrotri ( | BNT162b2 mRNA | UK | Prospective cohort study | Age of ≥65 | 0.77 | 0.37 | 1.58 |
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| Mark A. Katz ( | BNT162b2 mRNA | Israel | Prospective cohort study | Healthcare workers |
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| 0.055 | 0.018 | 0.174 |
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| Jamie Lopez Bernal ( | BNT162b2 mRNA | UK | Retrospective cohort | Aged ≥70 years |
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| 0.56 | 0.47 | 0.68 | 0.31 | 0.14 | 0.69 |
| Ben Glampson ( | BNT162b2 mRNA | UK | Retrospective cohort | Aged ≥16 years. | 0.42 | 0.36 | 0.5 |
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| Carmen Cabezas ( | BNT162b2 mRNA | Catalonia | Prospective cohort study | Healthcare workers | 0.13 | 0.11 | 0.14 | 0.13 | 0.11 | 0.16 | 0.31 | 0.26 | 0.39 | 0.03 | 0.02 | 0.04 |
| Tariq Azamgarhi ( | BNT162b2 mRNA | UK | Prospective cohort study | Healthcare workers | 0.3 | 0.09 | 0.94 |
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| Jamie Lopez Bernal ( | BNT162b2 mRNA | UK | Case–control study | Adult age ≥70 years, |
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| 0.49 | 0.38 | 0.63 |
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| Ida Rask Moustsen-Helms ( | BNT162b2 mRNA | Denmark | Retrospective cohort | Healthcare workers, | 0.17 | 0.04 | 0.28 | 0.9 | 0.82 | 0.95 |
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| Peter Nordstrom ( | BNT162b2 mRNA | Sweden | Prospective cohort | - |
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| 0.22 | 0.21 | 0.22 |
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| M.G. Thompson ( | mRNA-1273 | USA | Prospective cohort study | Health care workers | 0.17 | 0.05 | 0.6 | 0.18 | 0.04 | 0.8 |
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| Peter Nordstrom ( | mRNA-1273 | Sweden | Prospective cohort | - |
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| 0.13 | 0.12 | 0.16 |
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| Saurabh Bobdey ( | ChAdOx1 | India | Prospective cohort study | - | 0.559 | 0.327 | 0.954 | 0.114 | 0.0763 | 0.184 |
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| Ioannis Baltas ( | ChAdOx1 | UK | Case–control study | - |
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| 0.216 | 0.067 | 0.696 |
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| Madhumita Shrotri ( | ChAdOx1 | UK | Prospective cohort study | Aged ≥65 years | 0.95 | 0.5 | 1.84 |
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| Jamie Lopez Bernal ( | ChAdOx1 | UK | Retrospective cohort | Aged ≥70 years |
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| 0.45 | 0.34 | 0.59 |
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| Ben Glampson ( | ChAdOx1 | UK | Retrospective cohort | Aged ≥16 years. | 0.59 | 0.49 | 0.71 |
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| Peter Nordstrom ( | ChAdOx1 | Sweden | Prospective cohort | - |
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| 0.5 | 0.42 | 0.59 |
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| Mark G. Thompson ( | Combination | USA | Prospective cohort study | Healthcare workers | 0.2 | 0.1 | 0.41 | 0.1 | 0.03 | 0.32 |
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| Ashley Fowlkes ( | Combination | USA | Prospective cohort study | Healthcare workers | 0.2 | 0.12 | 0.31 |
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| Sarah E. Waldman ( | Combination | USA | Retrospective cohort | Age ≥18 year old | 0.53 | 0.4 | 0.71 | 0.22 | 0.12 | 0.42 |
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| Maria Elena Flacco ( | Combination | Italy | Retrospective cohort | Aged ≥18 years. | 0.05 | 0.04 | 0.06 | 0.02 | 0.01 | 0.03 | 0.03 | 0.01 | 0.08 | 0.02 | 0 | 0.12 |
| Baltazar Nunes ( | Combination | Portugal | Prospective cohort study | Aged ≥65 years. |
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| 0.23 | 0.12 | 0.44 | 0.04 | 0.02 | 0.08 |
Hazard Ratio adjusted in each study.
BNT162b2 mRNA and mRNA-1273 and ChAdOx1.
Figure 2Effectiveness of vaccines against SARS-CoV-2 infection using odds ratio in partial vaccinated individuals.
Figure 3Effectiveness of vaccines against SARS-CoV-2 infection using incidence rate ratio (IRR) in partial vaccinated individuals.
Figure 4Effectiveness of vaccines against SARS-CoV-2 infection using hazard ratio in partial vaccinated individuals.
Figure 5Effectiveness of vaccines against COVID-19-related hospitalization in partial vaccinated individuals.
Figure 6Effectiveness of vaccines against COVID-19-related mortality using hazard ratio in partial vaccinated individuals.
Figure 7Effectiveness of vaccines against COVID-19-related mortality using incidence rate ratio in partial vaccinated individuals.
Figure 8Effectiveness of vaccines against SARS-CoV-2 infection using odds ratio in Full vaccinated individuals.
Figure 9Effectiveness of vaccines against SARS-CoV-2 infection using incidence rate ratio in full vaccinated individuals.
Figure 10Effectiveness of vaccines against SARS-CoV-2 infection using hazard ratio in full vaccinated individuals.
Figure 11Effectiveness of vaccines against COVID-19-related hospitalization in full vaccinated individuals.
Figure 12Effectiveness of vaccines against COVID-19-related mortality using hazard ratio in full vaccinated individuals.
Figure 13Effectiveness of vaccines against COVID-19-related mortality using incidence rate ratio in full vaccinated individuals.
Positive tests for SARS-CoV-2 infection after the first and second doses in people with a history of COVID-19 vaccination.
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| Hall V. FFPH ( | UK | BNT162b2 mRNA | Prospective cohort study | Healthcare workers. | 71 | 20,641 | 977 | 2,683 | 0.006 | 9 | 1,607 | 977 | 2,683 | 0.009 |
| Iván Martínez-Baz ( | Spain | BNT162b2 mRNA | Prospective cohort study | Aged ≥18 years | 90 | 310 | 6,980 | 19,580 | 0.738 | 61 | 491 | 6,980 | 19,580 | 0.256 |
| T. Pilishvili ( | USA | BNT162b2 mRNA | Case–control study | Healthcare workers | 122 | 1,472 | 707 | 3,420 | 0.347 | 149 | 1,472 | 882 | 3,420 | 0.324 |
| Ping Ye, DNP ( | USA | BNT162b2 mRNA | Retrospective cohort | Nursing home residents | 68 | 86 | 5 | 5 | 0 | 5 | 17 | 5 | 5 | 0 |
| Tamara Pilishvili ( | USA | BNT162b2 mRNA | Case–control study | Health care workers | 214 | 926 | 340 | 642 | 0.267 | - | - | - | - |
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| Iván Martínez-Baz ( | Spain | BNT162b2 mRNA | Prospective cohort study | Aged ≥18 year | 351 | 2,022 | 4,811 | 14,348 | 0.416 | 1070 | 7,972 | 4,811 | 14,348 | 0.307 |
| Sara Carazo ( | Canada | BNT162b2 mRNA | Case–control study | Healthcare workers | 2130 | 26,719 | 6,323 | 24,986 | 0.256 | 68 | 2,022 | 6,323 | 24,986 | 0.103 |
| Carmen Cabezas ( | Catalonia | BNT162b2 mRNA | Prospective cohort study | Healthcare workers | 1607 | 1,02,161 | 4,440 | 1,16,417 | 0.403 | - | - | - | - |
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| Galia Zacay ( | Israel | BNT162b2 mRNA | Retrospective cohort | Aged ≥16 years | 59 | 1,445 | 382 | 6,286 | 0.658 | 16 | 2,941 | 382 | 6,286 | 0.085 |
| Tariq Azamgarhi ( | UK | BNT162b2 mRNA | Prospective cohort study | Healthcare workers | 23 | 1,408 | 26 | 825 | 0.51 |
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| Jamie Lopez Bernal ( | UK | BNT162b2 mRNA | Case–control study | Age ≥70 years, | 448 | 1,956 | 15,287 | 36,668 | 0.416 |
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| Jamie Lopez Bernal ( | UK | BNT162b2 mRNA | Case–control study | Aged ≥16 years, | 43 | 2,884 | 4,043 | 96,371 | 0.346 | 122 | 15,749 | 4,043 | 96,371 | 0.178 |
| T. Pilishvili ( | USA | mRNA-1273 | Case–control study | Health care workers | 18 | 1,472 | 156 | 3,420 | 0.259 | 18 | 1,472 | 190 | 3,420 | 0.21 |
| Tamara Pilishvili ( | USA | mRNA-1273 | Case–control study | Health care workers | 68 | 268 | 340 | 642 | 0.302 |
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| Iván Martínez-Baz ( | Spain | mRNA-1273 | Prospective cohort | Aged ≥18 year | 70 | 517 | 4,811 | 14,348 | 0.31 | 85 | 1,127 | 4,811 | 14,348 | 0.162 |
| Sara Carazo ( | Canada | mRNA-1273 | Case–control study | Healthcare workers | 110 | 1,639 | 6,323 | 24,986 | 0.212 | 2 | 128 | 6,323 | 24,986 | 0.047 |
| Jamie Lopez Bernal ( | UK | mRNA-1273 | Case control | Aged ≥16 years, | 592 | 25,913 | 4,043 | 96,371 | 0.534 | 218 | 8,244 | 4,043 | 96,371 | 0.62 |
| Saurabh Bobdey ( | India | ChAdOx1 | Prospective cohort study | - | 27 | 239 | 19 | 94 | 0.503 | 67 | 2,863 | 19 | 94 | 0.095 |
| Iván Martínez-Baz ( | Spain | ChAdOx1 | Prospective cohort study | Aged ≥18 years | 99 | 524 | 6,980 | 19,580 | 0.42 | - | - | - | - |
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| Iván Martínez-Baz ( | Spain | ChAdOx1 | Prospective cohort study | Aged ≥18 year - | 302 | 1,599 | 4,811 | 14,348 | 0.462 | 272 | 1,539 | 4,811 | 14,348 | 0.426 |
| Aleena Issac ( | India | ChAdOx1 | Prospective cohort study | Healthcare Workers | - | - | - | - |
| 16 | 243 | 35 | 80 | 0.091 |
| Jamie Lopez Bernal ( | UK | ChAdOx1 | Case–control study | Adult age ≥70 years, | 396 | 1,342 | 15,287 | 36,668 | 0.585 | - | - | - | - |
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| Eli S. Rosenberg ( | USA | Combination | Prospective cohort | Adults aged ≥18 | - | - | - | - |
| 9675 | 1,01,35,322 | 38,505 | 37,42,197 | 0.092 |
| Maria Elena Flacco ( | Italy | Combination | Retrospective cohort | Aged ≥18 years. | 12 | 69,539 | 6,948 | 1,75,687 | 0.004 | - | - | - | - |
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| Aaron J. Tande ( | USA | Combination | Retrospective cohort | Aged ≥18 years | 42 | 3,006 | 1,436 | 45,327 | 0.433 | - | - | - | - |
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| Anoop S. V. Shah ( | Scotland | Combination | Prospective cohort study | Healthcare workers | 1152 | 1,09,074 | 3,191 | 1,44,525 | 0.473 | - | - | - | - |
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| Kristin L. Andrejko ( | USA | Combination | Case–control study | Aged ≥18 years | 51 | 150 | 454 | 767 | 0.355 | 20 | 106 | 454 | 767 | 0.16 |
| Nathanael Fillmore ( | USA | Combination | Retrospective cohort | - | - | - | - | - |
| 1546 | 3,627 | 6,326 | 11,569 | 0.616 |
| Tara C. Bouton ( | USA | Combination | Prospective cohort study | Healthcare workers | 96 | 7,109 | 329 | 3,481 | 0.131 | 17 | 5,913 | 329 | 3,481 | 0.028 |
| Hannah Chung ( | Canada | Combination | Case–control study | Aged ≥16 years | 2050 | 21,272 | 51,220 | 3,02,761 | 0.524 | 73 | 21,272 | 51,220 | 3,02,761 | 0.017 |
| Alyson Cavanaugh ( | USA | Combination | Case–control study | Aged ≥18 years | 17 | 56 | 179 | 463 | 0.692 | 50 | 219 | 179 | 463 | 0.469 |
Odds Ratio computed.
BNT162b2 mRNA and mRNA-1273 and ChAdOx1.
COVID-19-related mortality after the first and second doses in people vaccinated with BNT162b2 mRNA.
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| Noa Dagan ( | BNT162b2 mRNA | Israel | Prospective cohort study | Age of ≥16 and older | 2 | 2,64,538 | 6 | 2,64,479 | 0.333 | 9 | 4,322 | 32 | 4,316 | 0.281 |
| Eric J. Haas ( | BNT162b2 mRNA | Israel | Prospective cohort study | Age of 16 and older. | - | - | - | - |
| 138 | 20,18,82,183 | 715 | 12,00,76,136 | 0.115 |
| Arjun Puranik ( | BNT162b2 mRNA | USA | Retrospective cohort | Aged ≥18 years | 0 | 1,80,814 | 0 | 1,80,819 |
| 0 | 23,33,860 | 4 | 25,37,030 | 0 |
| Carmen Cabezas ( | BNT162b2 mRNA | Catalonia | Prospective cohort study | Healthcare workers | 153 | 30,30,779 | 272 | 6,39,181 | 0.119 | 33 | 27,45,713 | 272 | 6,39,181 | 0.028 |
| Aharona Freedman ( | BNT162b2 mRNA | Israel | Retrospective cohort | Aged ≥16 years | 178 | 1,42,89,253 | 819 | 11,97,01,675 | 1.821 | 61 | 1,40,60,250 | 567 | 8,95,35,711 | 0.685 |
| Hanne-Dorthe Emborg ( | BNT162b2 mRNA | Denmark | Prospective cohort study | - | 203 | 45,51,842 | 445 | 5,59,10,554 | 5.603 | 25 | 1,37,35,570 | 445 | 5,59,10,554 | 0.229 |
| Arjun Puranik ( | mRNA-1273 | USA | Retrospective cohort | Aged ≥18 years | 0 | 1,80,951 | 0 | 1,80,819 |
| 0 | 22,15,773 | 4 | 25,37,030 | 0 |
| Subhadeep Ghosh ( | ChAdOx1 | India | Prospective cohort study | Healthcare workers | 16 | 4,96,53,918 | 37 | 10,65,94,492 | 0.928 | 7 | 5,86,74,639 | 37 | 10,65,94,492 | 0.344 |
| Baltazar Nunes ( | Combination | Portugal | Prospective cohort study | Aged ≥65 years | 11 | 2,15,60,915 | 90 | 5,29,45,805 | 0.3 | 14 | 4,88,53,060 | 90 | 5,29,45,805 | 0.169 |
Rate Ratio computed.
BNT162b2 mRNA and mRNA-1273 and ChAdOx1.
COVID-19-related hospitalization rate after the first and second doses of vaccinated patients.
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| Iván Martínez-Baz ( | BNT162b2 mRNA | Spain | Prospective cohort study | Aged ≥18 year | 6 | 2,022 | 214 | 14,348 | 0.197 | 20 | 7,972 | 214 | 14,348 | 0.166 |
| Wesley H. Self ( | BNT162b2 mRNA | USA | Case–control study | Among Adults | - |
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| 128 | 738 | 1,463 | 2,362 | 0.129 |
| Jamie Lopez Bernal ( | BNT162b2 mRNA | UK | Case–control study | Age ≥70 years, | 128 | 1,400 | 1,365 | 8,892 | 0.555 |
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| M.G. Thompson ( | BNT162b2 mRNA | USA | Case–control study | Aged ≥50 years | 140 | 1,444 | 3,695 | 20,406 | 0.486 | 220 | 9,848 | 3,695 | 20,406 | 0.103 |
| Iván Martínez-Baz ( | mRNA-1273 | Spain | Prospective cohort study | Aged ≥18 year | 2 | 517 | 214 | 14,348 | 0.256 | 1 | 1,127 | 214 | 14,348 | 0.059 |
| M.G. Thompson ( | mRNA-1273 | USA | Case–control study | Aged ≥50 years | 91 | 1,639 | 3,695 | 20,406 | 0.266 | 145 | 7,508 | 3,695 | 20,406 | 0.089 |
| Iván Martínez-Baz ( | ChAdOx1 | Spain | Prospective cohort study | Aged ≥18 year | 8 | 1,599 | 214 | 14,348 | 0.332 | 2 | 1,539 | 214 | 14,348 | 0.086 |
| Jamie Lopez Bernal ( | ChAdOx1 | UK | Case–control study | Adult age ≥70 | 9 | 126 | 1,365 | 8,892 | 0.424 |
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| Anoop S. V. Shah ( | Combination | Scotland | Prospective cohort study | Healthcare workers | 19 | 1,11,081 | 158 | 1,44,525 | 0.156 |
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| Jennifer B. Griffin ( | Combination | USA | Prospective cohort study | Aged ≥16 years | 29 | 1,431 | 1,289 | 30,801 | 0.474 | 136 | 10,895 | 1,289 | 30,801 | 0.289 |
Rate Ratio computed.
BNT162b2 mRNA and mRNA-1273 and ChAdOx1.