A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis

BACKGROUND

The unprecedented speed of COVID-19 vaccine development and approval has raised public concern about its safety. However, studies on public discourses and opinions on social media focusing on adverse events (AEs) related to COVID-19 vaccine are rare.

OBJECTIVE

This study aimed to analyze Korean tweets about COVID-19 vaccines (Pfizer, Moderna, AstraZeneca, Janssen, and Novavax) after the vaccine rollout, explore the topics and sentiments of tweets regarding COVID-19 vaccines, and examine their changes over time. We also analyzed topics and sentiments focused on AEs related to vaccination using only tweets with terms about AEs.

METHODS

We devised a sophisticated methodology consisting of 5 steps: keyword search on Twitter, data collection, data preprocessing, data analysis, and result visualization. We used the Twitter Representational State Transfer application programming interface for data collection. A total of 1,659,158 tweets were collected from February 1, 2021, to March 31, 2022. Finally, 165,984 data points were analyzed after excluding retweets, news, official announcements, advertisements, duplicates, and tweets with <2 words. We applied a variety of preprocessing techniques that are suitable for the Korean language. We ran a suite of analyses using various Python packages, such as latent Dirichlet allocation, hierarchical latent Dirichlet allocation, and sentiment analysis.

RESULTS

The topics related to COVID-19 vaccines have a very large spectrum, including vaccine-related AEs, emotional reactions to vaccination, vaccine development and supply, and government vaccination policies. Among them, the top major topic was AEs related to COVID-19 vaccination. The AEs ranged from the adverse reactions listed in the safety profile (eg, myalgia, fever, fatigue, injection site pain, myocarditis or pericarditis, and thrombosis) to unlisted reactions (eg, irregular menstruation, changes in appetite and sleep, leukemia, and deaths). Our results showed a notable difference in the topics for each vaccine brand. The topics pertaining to the Pfizer vaccine mainly mentioned AEs. Negative public opinion has prevailed since the early stages of vaccination. In the sentiment analysis based on vaccine brand, the topics related to the Pfizer vaccine expressed the strongest negative sentiment.

CONCLUSIONS

Considering the discrepancy between academic evidence and public opinions related to COVID-19 vaccination, the government should provide accurate information and education. Furthermore, our study suggests the need for management to correct the misinformation related to vaccine-related AEs, especially those affecting negative sentiments. This study provides valuable insights into the public discourses and opinions regarding COVID-19 vaccination.

The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data

BACKGROUND

Several risk factors have been identified for severe COVID-19 disease by the scientific community. In this paper, we focus on understanding the risks for severe COVID-19 infections after vaccination (ie, in breakthrough SARS-CoV-2 infections). Studying these risks by vaccine type, age, sex, comorbidities, and any prior SARS-CoV-2 infection is important to policy makers planning further vaccination efforts.

OBJECTIVE

We performed a comparative study of the risks of hospitalization (n=1140) and mortality (n=159) in a SARS-CoV-2 positive cohort of 19,815 patients who were all fully vaccinated with the Pfizer, Moderna, or Janssen vaccines.

METHODS

We performed Cox regression analysis to calculate the risk factors for developing a severe breakthrough SARS-CoV-2 infection in the study cohort by controlling for vaccine type, age, sex, comorbidities, and a prior SARS-CoV-2 infection.

RESULTS

We found lower hazard ratios for those receiving the Moderna vaccine (P<.001) and Pfizer vaccine (P<.001), with the lowest hazard rates being for Moderna, as compared to those who received the Janssen vaccine, independent of age, sex, comorbidities, vaccine type, and prior SARS-CoV-2 infection. Further, individuals who had a SARS-CoV-2 infection prior to vaccination had some increased protection over and above the protection already provided by the vaccines, from hospitalization (P=.001) and death (P=.04), independent of age, sex, comorbidities, and vaccine type. We found that the top statistically significant risk factors for severe breakthrough SARS-CoV-2 infections were age of >50, male gender, moderate and severe renal failure, severe liver disease, leukemia, chronic lung disease, coagulopathy, and alcohol abuse.

CONCLUSIONS

Among individuals who were fully vaccinated, the risk of severe breakthrough SARS-CoV-2 infection was lower for recipients of the Moderna or Pfizer vaccines and higher for recipients of the Janssen vaccine. These results from our analysis at a population level will be helpful to public health policy makers. Our result on the influence of a previous SARS-CoV-2 infection necessitates further research into the impact of multiple exposures on the risk of developing severe COVID-19.

Link between COVID-19 vaccines and myocardial infarction

BACKGROUND

Vaccines for coronavirus disease 2019 (COVID-19) include ChAdOx1-SARS-COV-2 (AstraZeneca), Ad26.COV2.S (Janssen), mRNA-1273 (Moderna), BNT162b2 (Pfizer), BBIBP-CorV (Sinopharm), CoronaVac (Sinovac), and Bharat Biotech BBV152 (Covaxin).

AIM

To find the association between COVID-19 vaccines and myocardial infarction (MI).

METHODS

This is a systematic review that involved searching databases such as MEDLINE, EMBASE, and PakMediNet after making a search strategy using MeSH and Emtree terms. Eligibility criteria were set, and studies having no mention of MI as a complication of COVID-19 vaccination, protocols, genetic studies, and animal studies were excluded. Data was extracted using a predesigned extraction table, and 29 studies were selected after screening and applying the eligibility criteria.

RESULTS

The majority of studies mentioned AstraZeneca (18 studies) followed by Pfizer (14 studies) and Moderna (9 studies) in subjects reporting MI after vaccination. Out of all the studies, 69% reported MI cases after the first COVID-19 vaccination dose and 14% after the second, 44% reported ST-segment elevation MI, and 26% reported non-ST-segment elevation MI. The mortality rate was 29% after MI.

CONCLUSION

In conclusion, many studies linked MI to COVID-19 vaccinations, but no definitive association could be found.

Clinical characteristics and respiratory care in hospitalized vaccinated SARS-CoV-2 patients

BACKGROUND

The main objective of the present study was to analyze both clinical characteristics and evolution during hospitalization of a cohort of patients admitted for COVID-19 pneumonia who were not vaccinated, or with a complete or incomplete vaccination schedule.

METHODS

This COVID-19 specialized single-center cohort study of 1888 COVID-19 patients hospitalized at the "Enfermera Isabel Zendal" Emergencies Hospital (HEEIZ), Madrid (Spain) was performed between July 1 and September 30, 2021. It compared the results of 1327 hospitalized unvaccinated patients to 209 hospitalized fully vaccinated and 352 hospitalized partially vaccinated patients. The four different COVID-19 vaccines authorized in Spain during the time-period studied were: BNT162b2 (Pfizer); ChAdOx1 nCoV-19 (AstraZeneca), mRNA-1273 (Moderna); Ad26.COV2.S (Janssen).

FINDINGS

Hospitalized patients' median age was 41 years (IQR 33-50) for the unvaccinated and 61 years (IQR 53-67) for the fully vaccinated ones. The main comorbidities were obesity, hypertension and diabetes mellitus. 20% of unvaccinated patients (266) required noninvasive respiratory care, as did 14% (51) of partially and 14% (30) of fully vaccinated; 6% (78) of the unvaccinated patients also needed invasive respiratory care, as did 5% (16) of partially and 11 (5%) fully vaccinated.

INTERPRETATION

Fully vaccinated patients were 84% (95% CI: 82-86%) less likely to be admitted to hospital, and protection rose for those aged <50 years. Once hospitalized, vaccinated patients displayed more protection against requiring respiratory care than unvaccinated ones, despite being older and having more comorbidities. No differences appeared for the four studied COVID-19 vaccines and complying with vaccination recommendations proved relevant.

FUNDING

The research was funded by the "Plan Propio de Investigación" Program of the Castilla-La Mancha University /European Regional Development Fund (2021-GRIN-31,039).

VACCINE-INDUCED MASSIVE PULMONARY EMBOLISM AND THROMBOCYTOPENIA FOLLOWING A SINGLE DOSE OF JANSSEN AD26.COV2.S VACCINATION

Vaccine-induced immune thrombotic thrombocytopenia (VITT) has emerged as a rare side effect of adenoviral vector-based vaccines against Coronavirus disease 2019 (COVID-19), and it is most frequently reported after Vaxzevria (AstraZeneca) vaccine. We described a case of severe thrombocytopenia associated with massive pulmonary embolism and portal vein thrombosis, occurring 13 days after the administration of the single dose adeno viral vector-based vaccine Ad26.COV2.S (Janssen vaccines, Leiden, Netherlands). Based on an early clinical suspect, the patient quickly received treatment with corticosteroids and intravenous immunoglobulins, followed by a rapid increase in platelet count that allowed full dose anticoagulation to be timely administered. Treatment with intravenous immunoglobulins, however, could mask the ability of anti-PF4-heparin antibodies to bind and activate platelets in the presence of heparin, leading to false negative results at the immunoassay functional test. Therefore, if VITT is suspected, blood samples for diagnostic confirmation should be collected prior to any treatment to improve diagnostic performance.

Review of COVID-19 viral vector-based vaccines and COVID-19 variants

The concept of viral vector-based vaccine was introduced in 1972 by Jackson et al and in 1982 Moss et al introduced the use of vaccinia virus as a transient gene expression vector. The technology has been used to make Ebola vaccines and now COVID-19 vaccines. There are two types of viral vector-based vaccines i.e. replicating and non-replicating. Non-replicating viral vector-based vaccines use replication-deficient viral vectors to deliver genetic material of a particular antigen to the host cell to induce immunity against the desired antigen. Replicating vector vaccines produce new viral particles in the cells they enter, which then go on to enter more new cells which will also make the vaccine antigen. Non-replicating vector-based vaccines are more commonly utilized. Adenovirus, vesicular stomatitis virus, vaccinia virus, adenovirus associated virus, retrovirus, lentivirus, cytomegalovirus, and sendai virus have been used as vectors. Current adenovirus vector-based vaccines being administered against SARS-CoV-2 infection are JNJ-78435735 by Johnson and Johnson (Janssen) along with Beth Israel Deaconess Medical Center, AZD1222 by Oxford-AstraZeneca, Sputnik V and Sputnik Light by Gamaleya Research Institute of Epidemiology and Microbiology, and Convidecia vaccine by CanSino Biologics. Of the five vaccines, the United States Food and Drug Administration (FDA) has approved Janssen vaccine for emergency use. Efficacy against COVID-19 variants has been found in all but the Convidecia vaccine so far. Heterologous prime-boost COVID-19 vaccination regimen may be the new face and more efficient immunization approach for enhanced immunity against COVID-19.

Review of COVID-19 Vaccines Approved in the United States of America for Emergency Use

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus causing a global pandemic. Coronaviruses are a large family of single-stranded ribonucleic acid (RNA) viruses. The virus has four essential structural proteins which include the spike (S) glycoprotein, matrix (M) protein, nucleocapsid (N) protein and small envelope (E) protein. Different technologies are being used for vaccine development to battle the pandemic. There are messenger ribonucleic acid (mRNA)-based vaccines, deoxyribonucleic acid (DNA) vaccines, inactivated viral vaccines, live attenuated vaccines, protein subunit-based vaccines, viral vector-based vaccines and virus-like particle-based vaccines. Vaccine development has five stages. In the clinical developmental stage, vaccine development can be sped up by combining phase 1 and 2. The vaccines can also be approved more swiftly on an emergent basis and released sooner for usage. The United States Food and Drug Administration (USFDA) has approved Pfizer-BioNTech, Moderna and Janssen coronavirus disease 2019 (COVID-19) vaccines for emergency use. There are other vaccines that have been approved around the world. The mRNA vaccines have been created using a novel technology and they contain a synthetically created RNA sequence of virus fragments encoding the S-protein which is injected. These vaccines have a relatively low cost of production and faster manufacturing time but can have comparatively lower immunogenicity and more than one dose of vaccine may be required. In the case of viral vector-based vaccines, genes encoding the SARS-CoV-2 S protein are isolated and following gene sequencings are introduced into the adenovirus vector. These vaccines have a relatively fast manufacturing time but the efficacy of the vaccine is variable based on the host’s immune response to the viral vector. At the time of this paper, there were 81 vaccines in clinical development stage and 182 vaccines in preclinical development stage. Vaccines are an essential tool in our battle against COVID-19. Some of the COVID-19 vaccines have completed their phase III trials while many other potential vaccines are still in developmental stages. It used to take close to a decade for a vaccine to be developed and undergo rigorous testing until its production and availability to the public, but over the past year, we have seen multiple vaccines in different phases of testing against SARS-CoV-2 virus.

Estimating bulk density of compacted grains in storage bins and modifications of Janssen's load equations as affected by bulk density

Janssen created a classical theory based on calculus to estimate static vertical and horizontal pressures within beds of bulk corn. Even today, his equations are widely used to calculate static loadings imposed by granular materials stored in bins. Many standards such as American Concrete Institute (ACI) 313, American Society of Agricultural and Biological Engineers EP 433, German DIN 1055, Canadian Farm Building Code (CFBC), European Code (ENV 1991-4), and Australian Code AS 3774 incorporated Janssen's equations as the standards for static load calculations on bins. One of the main drawbacks of Janssen's equations is the assumption that the bulk density of the stored product remains constant throughout the entire bin. While for all practical purposes, this is true for small bins; in modern commercial-size bins, bulk density of grains substantially increases due to compressive and hoop stresses. Over pressure factors are applied to Janssen loadings to satisfy practical situations such as dynamic loads due to bin filling and emptying, but there are limited theoretical methods available that include the effects of increased bulk density on the loadings of grain transmitted to the storage structures. This article develops a mathematical equation relating the specific weight as a function of location and other variables of materials and storage. It was found that the bulk density of stored granular materials increased with the depth according to a mathematical equation relating the two variables, and applying this bulk-density function, Janssen's equations for vertical and horizontal pressures were modified as presented in this article. The validity of this specific weight function was tested by using the principles of mathematics. As expected, calculations of loads based on the modified equations were consistently higher than the Janssen loadings based on noncompacted bulk densities for all grain depths and types accounting for the effects of increased bulk densities with the bed heights.