Literature DB >> 36222203

Comparative analysis of mRNA and inactivated COVID-19 vaccines: A study from Faisalabad district of Pakistan.

Syed Ata Ul Munamm1, Iftikhar Nadeem2, Noor Mahdi2, Muhammad Saqlain3, Zaid Khalid Rana4, Usman Feroze Khatana2, Umer Mustansir Bhatty3, Visakan Navayogaarajah5, Fatimah Mahsal Khan5, Masood Ur Rasool2.   

Abstract

BACKGROUND & AIMS: Pakistan has vaccinated over 122 million people. The two vaccines in widespread use are inactivated (BBIBP-CorV & Sinovac) and mRNA forms (BNT162b2 & mRNA-1273). The primary aim of this study was to compare these two forms of vaccines against unvaccinated individuals collectively and then to see which one is more efficacious.
METHODS: Case-control study design was used to compare the efficacy of inactivated and mRNA vaccines against symptomatic infection, hospitalisations and mortality due to Severe Acute Respiratory Syndrome Coronavirus 2 between vaccinated and unvaccinated individuals. We derived recovery time from illness for both vaccines. Furthermore, we also compared the vaccines against similar parameters (symptomatic disease, hospitalisations and mortality). We calculated crude odds ratios for each dependent variable. p value of 0.05 or below was considered significant.
RESULTS: Vaccinated individuals were significantly protected from hospitalisations and mortality compared to unvaccinated individuals (p < 0.001). There was no difference in protection from symptomatic disease (p = 0.28), hospitalisations (p = 0.59) and mortality (p = 0.53) between two forms of vaccines. mRNA vaccine had better recovery time than all other vaccines (p < 0.001).
CONCLUSION: Our study showed that vaccinated individuals are at low risk of hospitalisations and mortality even without a booster and both vaccine forms are equally effective at preventing hospitalisations and mortality.

Entities:  

Keywords:  COVID-19; Pakistan; inactivated vaccine; infectious disease; mRNA vaccine

Year:  2022        PMID: 36222203      PMCID: PMC9557273          DOI: 10.1177/14782715221131409

Source DB:  PubMed          Journal:  J R Coll Physicians Edinb        ISSN: 1478-2715


Introduction

Severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) has infected over 520 million people globally till date and over 6 million people have lost their lives due to COVID-19.[1] South east Asia has reported over 58 million cases till date and 0.78 million deaths due to COVID-19 pandemic (World Health Organization (WHO) 2022).[2] Pakistan has reported over 1.5 million cases of SARS-CoV-2 and till date more than 30,000 lives are lost.[3] Pharmacological and nonpharmacological strategies have been tried to lessen the mortality and morbidity burden. Vaccination remains the main tool in controlling this pandemic. Worldwide over 11 billion doses of vaccine have been administered so far, which has played pivotal role in curtailing this pandemic (WHO, 2022).[4] Pakistan has thus far vaccinated over 122 million people with different types of vaccines which include BBIBP-CorV (Sinopharm), Sinovac, CanSino, BNT162b2 (Pfizer), mRNA-1273 (Moderna) and Sputnik (Health Advisory Platform Ministry of National, 2022).[5] This vaccination drive resulted in reduction of cases and deaths not only globally but also in Pakistan. Resultantly, by the end of 2021, most of the countries were lifting their lockdowns due to vaccine-derived immunity. Two forms of vaccines which are most commonly used in Pakistan are inactivated type (Sinopharm and Sinovac) and mRNA type (Pfizer and Moderna) (NADRA, 2022).[6] Faisalabad is the third largest city of Pakistan according to population criteria and is situated in the largest province Punjab. The total area of Faisalabad District is 5,857 km2 (2,261 sq miles) and according to census of 2017, total population is 7,882,444 out of which 4,038,932 are males and 3,842,684 are females. Faisalabad is a major industrial and distribution centre because of its central location in the region with well-developed connecting roads, rails, and air transportation. Agriculture is also an important hallmark of this city. The primary aim of this study was to compare these two forms of vaccines against unvaccinated individuals collectively and then to see which form (inactivated vs mRNA) is more efficacious during the time frame when Delta and Omicron were prevalent in Faisalabad district of Pakistan.

Methodology

Study design

Efficacy of inactivated and mRNA form of vaccines against symptomatic infection with SARS-CoV-2 and its impact in preventing hospitalisations and mortality due to COVID-19 among vaccinated and unvaccinated individuals were assessed using a case–control study design. We further compared mRNA and inactivated form of vaccines in preventing hospitalisation and mortality. Recovery time from COVID-19 infection was also calculated from the time patient reported to health facility till symptom free for 24 h which was transformed into two groups early (less than 14 days) and late (equal and more than 14 days) recovery time. Case–control designs are considered powerful enough to estimate vaccine effectiveness (VE) and are used extensively for estimating effectiveness of influenza vaccines and vaccines against other respiratory viruses.[7,8]

Study time

Data included were from 15 July 2021 to 31 March 2022.

Data collection

Electronic record of all the individuals aged 12 and above, who were tested for COVID-19 during the above-mentioned time interval was analysed using the COVID-19 Dashboard of Faisalabad District. The COVID-19 dashboard is an integrated dashboard linked electronically with all hospitals and laboratories; both public and private, operating in district Faisalabad. Details of the all individuals who test positive for COVID-19 in any of these facilities are uploaded daily. Hospitals linked with this dashboard also upload the clinical status of all hospitalised COVID-19 patients and their outcomes, that is, intensive care admission, recovery, or death. Individuals were divided into case and control groups depending on positivity of the COVID-19 test. The vaccination status of cases and control groups was compiled from National Database and Registration Authority (NADRA) of Pakistan. During this period, totally 252,793 samples were taken. In all, 33,797 samples were drawn from symptomatic patients from OPDs of public and private hospitals in Faisalabad. In total, 734 samples out of 33,797 were rejected by the laboratory. Out of these, 53 were vaccinated with AstraZeneca, 117 with CanSino, 53 with sputnik and 42 with Pak-vac. In all, 1,716 were partially vaccinated and 6,673 had a booster dose. All of these were excluded from the study. In total, 15,579 were selected out of which 8,830 matched cases and controls were selected according to age and sex to minimise confounding. To maintain the internal validity and quality of data, only those individual datasets were accepted in which all the information had been filled, that is, age, sex, COVID-19 results, vaccination status, vaccine type inoculated, clinical condition and hospitalisation status.

Inclusion and exclusion criteria

Inclusion criteria: All individuals, that is, males/females above the age of 12 years were included in the study All individuals fully vaccinated with inactivated or mRNA form were included. Exclusion criteria: Individuals less than age 12 years were excluded. Partially vaccinated individuals were excluded. Individuals vaccinated with other forms of vaccines (AstraZeneca, Sputnik, Johnson and Johnson and CanSino) were excluded. Asymptomatic COVID-19 individuals were excluded. Individuals who received booster doses of vaccines were excluded.

Statistical analysis

Scale and categorical variables were identified. Age was divided into two groups: group 1 (12–44 years) and group 2 (45 years and above). Stratification of both male and female group was done into young (12–44 years) and old age (45 years and above) and was done to match cases with control group. Recovery time was calculated from the time patient reported to health facility till symptom free for 24 h which was transformed into two groups early (less than 14 days) and late (equal and more than 14 days) recovery time. Chi square and Fischer’s Exact tests were applied to determine the odds of symptomatic disease due to SARS-CoV-2, hospitalisation and recovery after COVID-19 infection among vaccinated and unvaccinated groups. Recovery time from illness was also calculated. We also calculated crude odds ratios for each dependent variable mentioned above. p Value of 0.05 or below was considered significant. Statistical analysis was done using SPSS version 21.

Ethical approval:

Formal ethical approval was granted before data collection commenced. The study was registered with the research department of district health authority, Faisalabad under the letter number MIS/General/8151, dated 20

Results

The study sample included total of 8,830 individuals in which 4,745 were males (53.7%) and 4,085 were females (46.3%). Total cases with PCR-positive results were 4,069 (46.1%) and with negative results were 4,761 (53.9%). Total individuals found vaccinated against COVID-19 were 2,645 (30%) and unvaccinated were 6,185 (70%). Those who were vaccinated, 2,014 (76%) were vaccinated with inactivated virus vaccine and 631 (24%) with mRNA vaccine. All individuals were stratified according to their gender (male and female) and age groups (12–44 years, 45 years and above). For each group and subgroups, odds ratios were calculated along with the p value using chi square and Fischer’s Exact test. Table 1 shows odds ratio for symptomatic COVID-19 infection in those who were vaccinated as compared to those who were not vaccinated. Overall, both types of vaccines seem to be ineffective in preventing the symptomatic disease.
Table 1.

Symptomatic COVID-19 infection among vaccinated and unvaccinated individuals (odds ratio).

Gender of the patientAge (years)Vaccination statusPCR detected n (%) 4,069 (46.1)PCR not detected n (%) 4,761 (53.9)Odds ratio95% CIp Value
LowerUpper
Male12–44Vaccinated492 (48.6)520 (51.4)1.311.131.52<0.001
Not vaccinated855 (42)1183 (58)Ref
45 and aboveVaccinated253 (47.6)279 (52.4)0.870.711.070.19
Not vaccinated593 (51)570 (49)Ref
Female12–44Vaccinated304 (43.9)389 (56.1)0.910.761.090.31
Not vaccinated829 (46.1)968(53.9)Ref
45 and aboveVaccinated176 (43.1)232 (56.9)0.830.661.040.11
Not vaccinated567 (47.8)620 (52.2)Ref
Symptomatic COVID-19 infection among vaccinated and unvaccinated individuals (odds ratio). All vaccinated individuals were found to be protective against hospitalisation after COVID-19 as compared to unvaccinated individuals. Table 2 shows the full details.
Table 2.

Hospitalisation with COVID-19 among vaccinated and unvaccinated individuals.

Gender of the patientAge (years)Vaccination statusHospitalisedNot hospitalisedOdds ratio95% CIp Value
N (%) 134 (3.3)N (%) 3935 (96.7)LowerUpper
Male12–44Vaccinated2 (0.4)490 (99.6)0.380.081.780.23
Not vaccinated9 (1.1)846 (98.9)
45 and aboveVaccinated7 (2.8)246 (97.2)0.320.140.720.004
Not vaccinated48 (8.1)545 (91.9)
Female12–44Vaccinated0 (0.0)304 (100.0)aaaa
Not vaccinated13 (1.6)816 (98.4))
45 and aboveVaccinated4 (2.3)172 (97.70.240.080.660.03
Not vaccinated51 (9.0)516 (91.0)

a: No statistics are computed because hospitalised or not is a constant (0).

Hospitalisation with COVID-19 among vaccinated and unvaccinated individuals. a: No statistics are computed because hospitalised or not is a constant (0). Vaccinated individuals were found to be protective against mortality from COVID-19 as compared to unvaccinated individuals. Table 3 shows the full details.
Table 3.

Mortality with COVID-19 between vaccinated and unvaccinated individuals.

Gender of the patientAge (years)Vaccination status of the patientCurrent status of the patientOdds ratio95% Confidence intervalp Value
Recovered N (%) 3,963 (99.2)Dead N (%) 106 (0.2)LowerUpper
Male12–44Vaccinated491 (99.8)1 (0.2)3.470.4228.910.27
Not vaccinated849 (99.3)6 (0.7)
45 and aboveVaccinated247 (97.6)6 (2.4)3.141.327.480.007
Not vaccinated551 (92.9)42 (7.1)
Female12–44Vaccinated304 (100)0 (0). a
Not vaccinated820 (98.9)9 (1.1)
45 and aboveVaccinated173 (98.3)3 (1.7)4.261.313.960.014
Not vaccinated528 (93.1)39 (6.9)

a: No statistics are computed because hospitalised or not is a constant (0).

Mortality with COVID-19 between vaccinated and unvaccinated individuals. a: No statistics are computed because hospitalised or not is a constant (0). While comparing the two forms of vaccines, our analysis showed that there was no significant difference between the two forms of vaccines in preventing symptomatic COVID-19 infection. Table 4 shows the details.
Table 4.

Comparative analysis of symptomatic COVID-19 infection between inactivated and mRNA vaccines.

Gender of the patientAge (years)Vaccine formPCR resultsValue95% Confidence intervalp Value
Detected N (%) 1,225 (46.4)Not detected N (%) 1,420 (53.6)LowerUpper
Male12–44Inactivated form 346 (55.4) 278 (44.6) 2.06 1.59 2.67 <0.001
mRNA form146 (37.6)242 (62.4)
45 and aboveInactivated form204 (43.5)265 (56.5)0.220.120.41<0.001
mRNA form49(77.8)14(22.2)
Female12–44Inactivated form232 (41.7)325 (58.3)0.630.440.920.017
mRNA form72 (52.9)64 (47.1)
45 and aboveInactivated form139 (38.2)225 (61.8)0.120.050.27<0.001
mRNA form37 (84.1)7 (15.9)
Comparative analysis of symptomatic COVID-19 infection between inactivated and mRNA vaccines. Hospitalisation rate and mortality were very low among vaccinated individuals; therefore, no significant association was found, and results showed no significant difference in both forms of vaccines. Tables 5 and 6 show the details of the results.
Table 5.

Comparative analysis of hospitalisation with COVID-19 among individuals vaccinated with inactivated and mRNA vaccines.

Gender of the patientAge (years)Vaccine formAdmission statusOdds ratio95% Confidence intervalp Value
Hospitalised N (%) 13 (1.1)Non-hospitalised N (%) 1,212 (98.9)LowerUpper
Male12–44Inactivated form2(0.6)344 (99.4).a
mRNA form0 (0.0)146 (100.0)
45 and aboveInactivated form4 (2.0)200 (98.0)0.310.071.420.135
mRNA form3 (6.1)46 (93.9)
Female12–44Inactivated form0 (0.0)232 (100.0).a
mRNA form0 (0.0)72 (100.0)
45 and aboveInactivated form4 (2.9)135 (97.1).a
mRNA form0 (0.0)37 (100.0)

a: No statistics are computed because hospitalised or not is a constant (0)

Table 6.

Comparative analysis of mortality with COVID-19 among individuals vaccinated with inactivated and mRNA vaccines.

Gender of the patientAge (years)Vaccine formStatus of the patientOdds ratio95% Confidence intervalp Value
Recovered N (%) 1 215 (99.2)Dead N (%) 10 (0.8)LowerUpper
Male12–44Inactivated form345 (99.7)1 (0.3).a
mRNA form146 (100.0)0 (0.0)
45 and aboveInactivated form200 (98.0)4 (2.0)2.130.3811.960.329
mRNA form47 (95.9)2 (4.1)
Female12–44Inactivated form232 (100.0)0 (0.0).a
mRNA form72 (100.0)0 (0.0)
45 and aboveInactivated form136 (97.8)3 (2.2).a
mRNA form37 (100.0)0 (0.0)

a: No statistics are computed because hospitalised or not is a constant (0).

Comparative analysis of hospitalisation with COVID-19 among individuals vaccinated with inactivated and mRNA vaccines. a: No statistics are computed because hospitalised or not is a constant (0) Comparative analysis of mortality with COVID-19 among individuals vaccinated with inactivated and mRNA vaccines. a: No statistics are computed because hospitalised or not is a constant (0). mRNA form of vaccine showed a mean recovery period of 4.9 ± 5.59 among all age groups as compared to Inactivated form of vaccine which showed mean recovery period of 5.7 ± 6.77 days. This mean difference in recovery period between two forms of vaccines was found to significant (p value 0.007).

Discussion

Our study showed the effectiveness of inactivated and mRNA vaccines in preventing hospitalisations and mortality. Moreover, it provides reassurance that there is no difference in efficacy of mRNA and inactivated forms of COVID-19 vaccines.

Overview, Mechanism of actions, and Individual effectiveness of mRNA and Inactivated vaccines

Spike protein (S-protein) on the surface of SARS-CoV-2 has a key role in COVID-19 pathogenicity and its transmission. It is the fundamental structural unit that recognises and binds to angiotensin-converting enzyme receptors of host cells. Hence, it makes the S-protein an important target for neutralising antibodies and therefore for the development of vaccines.[9] Genetic/nucleic acid or mRNA vaccines work on the principal of translation of an immunogenic protein by genetically engineered RNA/DNA.[10] A study involving 232,268 COVID-19 cases, found that two doses of the Pfizer vaccine had a VE of 97% against symptomatic infection, 97.2% against hospitalisation, 97.5% against intensive care unit (ICU) admission and 96.7% against death.[8] Two doses of the Moderna vaccine offer a VE of 93% against hospitalisation in post-marketing surveillance studies in the United States.[11] Inactivated vaccines use enfeebled or inactivated coronavirus which itself does not cause illness but induce an immune response in the host. Sinovac and Sinopharm were developed on this principle.[9] Sinovac showed a VE of 65.9% against symptomatic infection, 87.5% for hospitalisation, 90.3% for ICU admission and 86.3% for death in a large cohort of Chilean population.[12] Sinopharm vaccine showed a VE of 94.3% (95% CI, 92.2–95.9%) for two doses of the BBIBP-CorV Sinopharm vaccine in the prevention of symptomatic SARS-CoV-2 infection, 60.5% (95% CI, 7.9–82.9%) in reducing hospitalisation with SARS-CoV-2 and 98.6% (95% CI, 94.2–99.6%) in preventing death from SARS-CoV-2 as compared to unvaccinated individuals in an elderly cohort of Pakistani population.[13] All COVID vaccines are usually well tolerated, and adverse events associated with these vaccines are very rare and of mild severity.[14]

Comparison with previous literature and strengths and limitation of study

Age has been found to be a significant variable to determine the course of disease. This is in accordance with existing knowledge. Choi et al.[15] reported that mortality and length of hospital stay increase with increasing age and 18% mortality in patients of age 70 or above. We observed no significant difference in protection from symptomatic disease between vaccinated and unvaccinated individuals possibly due to more than 6 months of time difference between two doses of vaccines and we excluded all individuals who had received booster doses. We observed no significant difference in hospitalisation and in the final outcome (death or recovery) after having either mRNA vaccine or inactivated virus vaccine. Though, this is in contrary to, what Premikha et al.[16] had reported. They spotted that the individuals who had Sinopharm and SinoVac vaccine are 2.37 and 1.62 times more prone to contract COVID when compared with individuals who had Pfizer/BioNtech/Comirnaty vaccine.[16] To our knowledge, no real-world study has shown direct comparison between two types of vaccines, that is, mRNA and inactivated in recovery time after contacting COVID-19. We observed that patients who received mRNA type vaccine had significant early recovery as compared to those having inactivated vaccines. This can provide basis to look for treatment for Long COVID. Thompson et al.[17] reported the reduction in viral load to 40% and shorter duration of illness with 2.3 less days spent on bed in individuals who had mRNA type vaccine as compared to unvaccinated. Since the early days of vaccination programs to curtail COVID-19 Pandemic, there have been misleading news about better efficacy and outcomes of mRNA type vaccines over inactivated vaccines. Similarly, the effectiveness of these vaccines against different variants was questioned. Laboratory studies also reported minimal efficacy of inactivated vaccines as compared to mRNA. Furthermore, theoretically, experts were of opinion that inactivated vaccines have broader range of immunity as these can elicit response against viral proteins other than spike protein. To counter that, Singapore government published an article to clarify these myths. However, no real-time data in a large population cohort are available so far to give robust evidence by comparing these two vaccines.[18-20] One of the strengths of our study is a large cohort size and we have effectively showed that both vaccines are equally effective in preventing severe disease from COVID-19 and had similar adverse events profile. The only difference was shorter time to recover in patients who had mRNA type vaccine. Omicron virus was widely prevalent during the study period and was also detected in Pakistan,[21] so the effectiveness of both type of vaccines is same against Omicron as well. Due to the lack of access to genome testing, we were unable to comment on effectives of both vaccines on every emerging variant. Nonetheless, given the observational nature of this study, we may have missed SARS-CoV-2 cases which did not present for testing. It is possible that more individuals who were vaccinated did not get tests even if they had suggestive symptoms due to the false impression of total COVID immunity after vaccination. Moreover, given that a large population of Pakistan lives in rural areas, they may have struggled to access testing. Furthermore, we cannot predict about vaccine efficacy on asymptomatic transmission. Another important limitation was the lack of genomic testing facilities which meant that although we can report this vaccines effectiveness for the strains commonly seen in Pakistan, we cannot comment on the protection it confers against all the variants of concern (B.1.351, P1).

Conclusion

Our study showed that both mRNA and inactivated form of vaccines are highly effective in preventing hospitalisations and mortality due to COVID-19 as compared to unvaccinated individuals even without a booster dose. Moreover, both forms of vaccines do not differ much in preventing hospitalisations and mortality due to COVID-19. We observed no difference in protection from symptomatic disease due to COVID-19 between vaccinated and unvaccinated individuals and therefore it is necessary to get the booster dose to enhance the immunity. Early recovery from illness after getting vaccine will help researchers to look for the treatment of Long COVID. Click here for additional data file. Supplemental material, sj-doc-1-rcp-10.1177_14782715221131409 for Comparative analysis of mRNA and inactivated COVID-19 vaccines: A study from Faisalabad district of Pakistan by Syed Ata Ul Munamm, Iftikhar Nadeem, Noor Mahdi, Muhammad Saqlain, Zaid Khalid Rana, Usman Feroze Khatana, Umer Mustansir Bhatty, Visakan Navayogaarajah, Fatimah Mahsal Khan and Masood Ur Rasool in Journal of the Royal College of Physicians of Edinburgh
  14 in total

1.  Influenza vaccine effectiveness in preventing hospitalizations with laboratory-confirmed influenza in Greece during the 2014-2015 season: A test-negative study.

Authors:  Theodore Lytras; Athanasios Kossyvakis; Angeliki Melidou; Anastasia Andreopoulou; Maria Exindari; Georgia Gioula; Antonios Kalliaropoulos; Kyriaki Tryfinopoulou; Vasiliki Pogka; Georgia Spala; Nikolaos Malisiovas; Andreas Mentis
Journal:  J Med Virol       Date:  2016-04-26       Impact factor: 2.327

2.  Safety and efficacy of Sinopharm vaccine (BBIBP-CorV) in elderly population of Faisalabad district of Pakistan.

Authors:  Iftikhar Nadeem; Syed Ata Ul Munamm; Masood Ur Rasool; Mufakhara Fatimah; Muhammad Abu Bakar; Zaid Khalid Rana; Usman Feroze Khatana; Louise Jordon; Muhammad Saqlain; Noor Mahdi; Hilary McLoughlin
Journal:  Postgrad Med J       Date:  2022-05-04       Impact factor: 2.401

3.  Comparative Effectiveness of Moderna, Pfizer-BioNTech, and Janssen (Johnson & Johnson) Vaccines in Preventing COVID-19 Hospitalizations Among Adults Without Immunocompromising Conditions - United States, March-August 2021.

Authors:  Wesley H Self; Mark W Tenforde; Jillian P Rhoads; Manjusha Gaglani; Adit A Ginde; David J Douin; Samantha M Olson; H Keipp Talbot; Jonathan D Casey; Nicholas M Mohr; Anne Zepeski; Tresa McNeal; Shekhar Ghamande; Kevin W Gibbs; D Clark Files; David N Hager; Arber Shehu; Matthew E Prekker; Heidi L Erickson; Michelle N Gong; Amira Mohamed; Daniel J Henning; Jay S Steingrub; Ithan D Peltan; Samuel M Brown; Emily T Martin; Arnold S Monto; Akram Khan; Catherine L Hough; Laurence W Busse; Caitlin C Ten Lohuis; Abhijit Duggal; Jennifer G Wilson; Alexandra June Gordon; Nida Qadir; Steven Y Chang; Christopher Mallow; Carolina Rivas; Hilary M Babcock; Jennie H Kwon; Matthew C Exline; Natasha Halasa; James D Chappell; Adam S Lauring; Carlos G Grijalva; Todd W Rice; Ian D Jones; William B Stubblefield; Adrienne Baughman; Kelsey N Womack; Christopher J Lindsell; Kimberly W Hart; Yuwei Zhu; Lisa Mills; Sandra N Lester; Megan M Stumpf; Eric A Naioti; Miwako Kobayashi; Jennifer R Verani; Natalie J Thornburg; Manish M Patel
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2021-09-24       Impact factor: 35.301

4.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

5.  Comparing the clinical efficacy of COVID-19 vaccines: a systematic review and network meta-analysis.

Authors:  Victoria Rotshild; Bruria Hirsh-Raccah; Ian Miskin; Mordechai Muszkat; Ilan Matok
Journal:  Sci Rep       Date:  2021-11-23       Impact factor: 4.379

6.  Comparative Effectiveness of mRNA and Inactivated Whole-Virus Vaccines Against Coronavirus Disease 2019 Infection and Severe Disease in Singapore.

Authors:  M Premikha; Calvin J Chiew; Wycliffe E Wei; Yee Sin Leo; Benjamin Ong; David Chien Lye; Vernon J Lee; Kelvin Bryan Tan
Journal:  Clin Infect Dis       Date:  2022-10-12       Impact factor: 20.999

7.  Variable effects of underlying diseases on the prognosis of patients with COVID-19.

Authors:  Yong Jun Choi; Ju-Young Park; Hye Sun Lee; Jin Suh; Jeung Yoon Song; Min-Kwang Byun; Jae Hwa Cho; Hyung Jung Kim; Hye Jung Park
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

8.  Comparative immunogenicity of mRNA and inactivated vaccines against COVID-19.

Authors:  Wey Wen Lim; Loretta Mak; Gabriel M Leung; Benjamin J Cowling; Malik Peiris
Journal:  Lancet Microbe       Date:  2021-07-16
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