Are Parents Willing to Vaccinate Their 6 to 11 Year Old Children Against COVID-19? A Community Based Study in Murshidabad, India

Context/Background: The future of Corona virus disease is still uncertain due to viral mutations. Immunization against COVID-19 has not yet been introduced for children aged 6-11 years. Parents are instrumental for the success of any immunization programme, being the chief decision makers for their wards. The study aims to assess the perceptions of parents regarding COVID 19 vaccination among children aged 6-11 years in an urban slum of Murshidabad and identify the factors influencing such perceptions among them. Methodology: A cross sectional study was conducted among 106 parents in a slum area of Murshidabad, West Bengal. Participants were interviewed using a validated WHO Vaccine Hesitancy Scale (VHS). Bivariate and multivariable analysis were done using Chi square test and binary logistic regression respectively. Results: Majority of the study subjects instead of parents were unlikely to vaccinate their children against COVID-19. The major concern centered around the safety (73.5%) of the vaccine. Higher level of education (p=0.003), previous history of COVID-19 infection in the family (p=0.004) and having a children aged between 6-8 years (p=0.006), influenced such perceptions, with the latter being the single most important predictor (AOR 4.126, P=0.007). Conclusions: The likelihood of parents to vaccinate their child was found to be low. This underscores the importance of an effective communication strategy when such programme will be rolled out. © 2023 National Journal of Community Medicine.

Examining the effects of disinformation and trust on social media users' COVID-19 vaccine decision-making

Purpose: Disinformation on social media is a serious issue. This study examines the effects of disinformation on COVID-19 vaccination decision-making to understand how social media users make healthcare decisions when disinformation is presented in their social media feeds. It examines trust in post owners as a moderator on the relationship between information types (i.e. disinformation and factual information) and vaccination decision-making. Design/methodology/approach: This study conducts a scenario-based web survey experiment to collect extensive survey data from social media users. Findings: This study reveals that information types differently affect social media users' COVID-19 vaccination decision-making and finds a moderating effect of trust in post owners on the relationship between information types and vaccination decision-making. For those who have a high degree of trust in post owners, the effect of information types on vaccination decision-making becomes large. In contrast, information types do not affect the decision-making of those who have a very low degree of trust in post owners. Besides, identification and compliance are found to affect trust in post owners. Originality/value: This study contributes to the literature on online disinformation and individual healthcare decision-making by demonstrating the effect of disinformation on vaccination decision-making and providing empirical evidence on how trust in post owners impacts the effects of information types on vaccination decision-making. This study focuses on trust in post owners, unlike prior studies that focus on trust in information or social media platforms. © 2023, Emerald Publishing Limited.

Nonlinear impacts of political and religious factors on COVID-19 vaccination

We investigate whether COVID-19 vaccination is monotonically associated with political and religious orientations. Conspiracy theories among politically conservative groups and Evangelical Protestants have drawn considerable attention to COVID-19 vaccination. Previous research indicates that political and religious orientations can have either positive or negative effects on vaccination. We employ non-linear regression with data on Republican turnout and Protestantism in over 2,000 US counties. Our findings reveal that the relationships between COVID-19 vaccination and Republican and Evangelical Protestant inclinations follow an inverted-U shape. Furthermore, Protestant inclination has a less negative impact on COVID-19 vaccination when infection rates are high. For vaccination promotion, targeting segmented groups is preferable to solely targeting based on political and religious affiliations.

COVID-19 Vaccination status among Health care workers diagnosed with COVID-19 in a tertiary care institute of Uttarakhand: A Cross-sectional Study

Background: Vaccines are considered as the one of the main pillars in halting and ending the presently on-going coronavirus disease (COVID-19 disease) pandemic which has spread globally since it was first detected in Wuhan, China in December 2019. In the absence of specific therapy, infection prevention practices and mass vaccination remains the mainstay in controlling the disease. Objectives: Objective of the study was to assess COVID-19 vaccination status, socio-demographic and clinical profile among healthcare workers diagnosed with COVID-19. Methodology: A cross-sectional survey from 1st March 2021 to 30th June 2021 among healthcare workers who were diagnosed with COVID-19 in a tertiary care institute of Uttarakhand, India was conducted, and universal sampling was used. Institutional Ethics Committee approved this study. Results: Total 662 healthcare workers were diagnosed with COVID-19. 429 (64.8%) of these COVID-19 diagnosed healthcare workers had received either single (129,30%) or both dose (300,70%) of COVID-19 vaccine while remaining 233 (35.2%) belonged to non-vaccinated group. History of exposure to COVID-19 positive patients was higher in vaccinated (66.4%) than in non-vaccinated group (55%) (p = 0.004). Hospitalisation was found to be higher among non-vaccinated (5.6%) than vaccinated group (2.3%) (p = 0.029). Conclusions: This study concludes that being vaccinated against COVID-19 disease provides protection against severe infection and reduces the need for hospitalization.

A Deep Learning Approach for Sentiment Classification of COVID-19 Vaccination Tweets

Now-a-days, social media platforms enable people to continuously express their opinions and thoughts about different topics. Monitoring and analyzing the sentiments of people is essential for governments and business organizations to better understand people's feelings and thoughts. The Coronavirus disease 2019 (COVID-19) has been one of the most trending topics on social media over the last two years. Consequently, one of the preventative measures to control and prevent the spread of the virus was vaccination. A dataset was formed by collecting tweets from Twitter for over a month from November 13th to December 31st, 2021. After data cleaning, the tweets were assigned a positive, negative, or neutral label using a natural language processing (NLP) sentiment analysis tool. This study aims to analyze people's public opinion towards the vaccination process against COVID-19. To fulfil this goal, an ensemble model based on deep learning (LSTM-2BiGRU) is proposed that combines long short-term memory (LSTM) and bidirectional gated recurrent unit (BiGRU). The performance of the proposed model is compared to five traditional machine learning models, two deep learning models in addition to state-of-the-art models. By comparing the results of the models used in this study, the results reveal that the proposed model outperforms all the machine and deep learning models employed in this work with a 92.46% accuracy score. This study also shows that the number of tweets that involve neutral, positive, and negative sentiments is 517496 (37%) tweets, 484258 (34%) tweets, and 409570 (29%) tweets, respectively. The findings indicate that the number of people carrying neutral sentiments towards COVID-19 immunization through vaccines is the highest among others. © 2023, International Journal of Advanced Computer Science and Applications. All Rights Reserved.

A reflection on the NHS, health security, and refugees

In 2021 a sudden influx of refugees arrived in the UK from Afghanistan, at a time when the British public were being encouraged to access healthcare services to obtain COVID-19 vaccinations. This report examines the successes and failures of care provision in the NHS across the country, in particular Wolverhampton, whereby refugees accessed healthcare provision in a local Primary Care Network. The report considers the author's personal experiences while working within the local Primary Care Network, in addition to published research, in the context of health security. Furthermore, it highlights recommended improvements within the NHS to provide aid to the vulnerable, while preserving the system set out to create health security.

Platelet-rich plasma in the treatment of alopecia areata after COVID-19 vaccination.

Key Clinical Message: Alopecia areata may develop in patients after COVID-19 vaccination. Platelet-rich plasma (PRP) has an outstanding anti-inflammatory effect and could be an alternative treatment for alopecia patients who are refractory or intolerant to corticosteroids. Abstract: A 34-year-old female with no systemic illness presented with non-scarring hair loss after the second COVID-19 vaccination shot 4 weeks ago. The hair loss worsened and progressed to severe alopecia areata. We started double-spin PRP therapy. Her hair recovered completely after six courses of PRP treatment.

Uveitis including Vogt-Koyanagi-Harada syndrome following inactive covid-19 vaccination: a case series.

BACKGROUND: Currently, large populations have been vaccinated against COVID-19. The whole inactivated Sinopharm COVID-19 vaccine has been the main available COVID-19 vaccine in Iran. Ocular inflammatory reactions have been reported following vaccination. The present case reports aim to introduce four cases of uveitis after the Sinopharm vaccine administration. CASE PRESENTATION: Our first reported case is a 38-year-old woman with a positive medical history of inactive ulcerative colitis. Active uveitis had developed following the second dose of the COVID-19 vaccination. The remaining three cases were healthy individuals who developed the first episode of uveitis, after the COVID-19 vaccine administration. Vogt-Koyanagi-Harada syndrome was the final diagnosis in one of the aforementioned cases. All four patients demonstrated favorable responses to corticosteroid treatment. CONCLUSION: These observations are in line with incoming reports from all around the world and raise concerns about the possibility of post-vaccination uveitis development, especially in cases with a previous history of auto-immune systemic diseases or inactive uveitis.

COVID-19 vaccination, dengue hepatitis, and recurrent unilateral anterior uveitis.

A 36-year-old Asian Indian male presented with redness and pain in his right eye of 1 week duration. He was diagnosed to have right acute anterior uveitis and had a history of being admitted at a local hospital for dengue hepatitis a month earlier. He had been on adalimumab 40 mg three weekly once and oral methotrexate 20 mg/week for human leucocyte antigen (HLA) B27 spondyloarthropathy and recurrent anterior uveitis. Our patient had re-activation of his anterior chamber inflammation on three distinct occasions: first, 3 weeks following recovery from coronavirus disease 2019 (COVID-19), the second after the second dose of COVID-19 vaccination, and the third after recovery from dengue fever-associated hepatitis. We propose molecular mimicry and bystander activation as the postulated mechanisms for the re-activation of his anterior uveitis. In conclusion, patients with auto-immune diseases can have recurrent ocular inflammation following COVID-19 or its vaccination or dengue fever as seen in our patient. The anterior uveitis is usually mild and responds to topical steroids. Additional immuno-suppression may not be needed. Mild ocular inflammation following vaccination should not deter individuals from getting COVID-19 vaccination.

Guillain-Barré Syndrome Induced by Vaccination Against COVID-19: A Systematic Review and Meta-Analysis.

Guillain-Barré syndrome (GBS) is a rare but serious immune-mediated neurological condition characterized by damage to the peripheral nervous system. Two-thirds of cases of GBS are diagnosed following infection; however, vaccination has also been linked to GBS pathogenesis. The aim of this systematic review and meta-analysis was to establish the prevalence of GBS following vaccination against the SARS-CoV-2 virus, which causes COVID-19, describe the clinical and neurophysiological characteristics, and identify potential determinants. A systematic review of the literature regarding post-vaccination GBS was conducted using the PubMed database. Seventy papers were included. The pooled prevalence of GBS after vaccination against COVID-19 per has been established to be 8.1 (95% CI 30-220) per 1,000,000 vaccinations. Vaccination with vector vaccines - but not mRNA - has been associated with an increased risk of GBS. More than 80% of the patients developed GBS within 21 days following the first dose of the vaccination. The interval between the vaccination and GBS was shorter in patients who were vaccinated with mRNA versus vector vaccines (9.7±6.7 days versus 14.2±6.6 days). Epidemiological findings regarding post-vaccination GBS revealed a higher prevalence in males and people between the ages of 40 and 60 years, with a mean age of 56.8±16.1 years. The most common type was the acute inflammatory demyelinating polyneuropathy type. Most cases responded well to treatment. In conclusion, vaccination against COVID-19 with vector vaccines seems to increase the risk of GBS. GBS occurring following vaccination does differ in characteristics from GBS during the pre-COVID-19 era.

Acute abducens nerve palsy with acute disseminated encephalomyelitis-like presentation following COVID-19 vaccination.

We report two adult cases of abducens nerve palsy presenting immediately (within weeks) after they received the first dose of Covishield vaccination. Magnetic resonance imaging (MRI) of the brain obtained after the onset of diplopia demonstrated demyelinating changes. The patients had associated systemic symptoms. Post-vaccination demyelination typically known as acute disseminated encephalomyelitis (ADEM) associated with several vaccines is more common in children. Although the mechanism of the nerve palsy remains unclear, it is suspected to be related to the post-vaccine neuroinflammatory syndrome. Cranial nerve palsies and ADEM-like presentations may represent part of the neurologic spectrum following COVID-vaccination in adults, and ophthalmologists should be aware of these sequelae. Although cases of sixth nerve palsy following COVID vaccination are already reported, associated MRI changes have not been reported from India.

Risk factors and characteristics influencing humoral response to COVID-19 vaccination in patients after allogeneic stem cell transplantation.

Introduction: Vaccination against severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is approved and recommended for immunocompromised patients such as patients after allogeneic stem cell transplantation (allo-SCT). Since infections represent a relevant cause of transplant related mortality we analyzed the advent of immunization to SARS-CoV-2 vaccination in a bicentric population of allogeneic transplanted patients. Methods: We retrospectively analyzed data of allo-SCT recipients in two German transplantation centers for safety and serologic response after two and three SARS-CoV-2 vaccinations. Patients received mRNA vaccines or vector-based vaccines. All patients were monitored for antibodies against SARS-CoV2-spike protein (anti-S-IgG) with an IgG ELISA assay or an EIA Assay after two and three doses of vaccination. Results: A total of 243 allo-SCT patients underwent SARS-CoV-2 vaccination. The median age was 59 years (range 22-81). While 85% of patients received two doses of mRNA vaccines, 10% had vector-based vaccines and 5% received a mixed vaccination. The two vaccine doses were well tolerated with only 3% patients developing a reactivation of graft versus host disease (GvHD). Overall, 72% of patients showed a humoral response after two vaccinations. In the multivariate analysis age at time of allo-SCT (p=0.0065), ongoing immunosuppressive therapy (p= 0.029) and lack of immune reconstitution (CD4-T-cell counts <200/µl, p< 0.001) were associated with no response. Sex, intensity of conditioning and the use of ATG showed no influence on seroconversion. Finally, 44 out of 69 patients that did not respond after the second dose received a booster and 57% (25/44) showed a seroconversion. Discussion: We showed in our bicentric allo-SCT patient cohort, that a humoral response could be achieve after the regular approved schedule, especially for those patients who underwent immune reconstitution and were free from immunosuppressive drugs. In over 50% of the initial non-responders after 2-dose vaccination, a seroconversion can be achieved by boostering with a third dose.

Corrigendum: Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: an individual-level analysis within 13 months in the ORCHESTRA cohort.

[This corrects the article DOI: 10.3389/fimmu.2022.1079884.].

Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study.

Background: Social media plays a pivotal role in disseminating news globally and acts as a platform for people to express their opinions on various topics. A wide variety of views accompany COVID-19 vaccination drives across the globe, often colored by emotions that change along with rising cases, approval of vaccines, and multiple factors discussed online. Objective: This study aims to analyze the temporal evolution of different emotions and the related influencing factors in tweets belonging to 5 countries with vital vaccine rollout programs, namely India, the United States, Brazil, the United Kingdom, and Australia. Methods: We extracted a corpus of nearly 1.8 million Twitter posts related to COVID-19 vaccination and created 2 classes of lexical categories-emotions and influencing factors. Using cosine distance from selected seed words' embeddings, we expanded the vocabulary of each category and tracked the longitudinal change in their strength from June 2020 to April 2021 in each country. Community detection algorithms were used to find modules in positive correlation networks. Results: Our findings indicated the varying relationship among emotions and influencing factors across countries. Tweets expressing hesitancy toward vaccines represented the highest mentions of health-related effects in all countries, which reduced from 41% to 39% in India. We also observed a significant change (P<.001) in the linear trends of categories like hesitation and contentment before and after approval of vaccines. After the vaccine approval, 42% of tweets coming from India and 45% of tweets from the United States represented the "vaccine_rollout" category. Negative emotions like rage and sorrow gained the highest importance in the alluvial diagram and formed a significant module with all the influencing factors in April 2021, when India observed the second wave of COVID-19 cases. Conclusions: By extracting and visualizing these tweets, we propose that such a framework may help guide the design of effective vaccine campaigns and be used by policy makers to model vaccine uptake and targeted interventions.

Exploring the underlying factors of COVID-19 vaccination hesitancy in Ahvaz, Iran: a comprehensive cross-sectional study.

Purpose: Around 70% of the Iranian population had received two doses of coronavirus disease 2019 (COVID-19) vaccines by the end of 2021. In this study, we evaluated the reasons for vaccination refusal among people in Ahvaz, Iran. Materials and Methods: In this cross-sectional study, 800 participants (400 vaccinated and 400 unvaccinated) were recruited. A demographic questionnaire was completed through interviews. The unvaccinated participants were asked about the reasons for their refusal. The Shapiro-Wilk test, independent t-test, chi-square test, and logistic regression were used for analyzing data. Results: Older people were 1.018 times more likely to refrain from vaccination (95% confidence interval [CI], 1.001-1.039; p=043). People who were manual workers as well as those who were unemployed/housewives were 0.288 and 0.423 times less likely to receive vaccination, respectively. Those with high school education and married women were 0.319 and 0.280 times less likely to receive vaccination, respectively (95% CI, 198-0.515; p<0.001; 95% CI, 0.186-0.422; p<0.001). Participants who had hypertension or suffered from neurological disorders were more likely to receive the vaccination. Finally, people affected with severe COVID-19 infection were 3.157 times more likely to get vaccinated (95% CI, 1.672-5.961; p<0.001). Conclusion: The results of this study showed that lower level of education and older age were contributed to reluctance for vaccination, while having chronic diseases or being already infected with severe COVID-19 infection were associated with more acceptance of vaccination.

Acute Myocardial Infarction and Myocarditis following COVID-19 Vaccination.

BACKGROUND: Emerging reports raise concerns on the potential association between the COVID-19 vaccines and cardiac manifestations. We sought to evaluate cardiac complications associated with COVID-19 vaccination in a pooled analysis from our institution's cohort study and systematic review. METHODS: Consecutive patients admitted in a tertiary hospital in Singapore between 1 January 2021 and 31 March 2021, with onset of cardiac manifestations within 14 days following COVID-19 vaccination were studied. Furthermore, a systematic review was performed, with PubMed, Embase, Research Square, MedRxiv, and LitCovid databases accessed from inception up to 29 June 2021. Relevant manuscripts reporting individual patient data on cardiac complications following COVID-19 vaccination were included. RESULTS: Thirty patients were included in the study cohort, with 29 diagnosed with acute myocardial infarction (AMI) and 1 with myocarditis. Five patients developed heart failure, two had cardiogenic shock, three intubated, and one had cardiovascular-related mortality. In the systematic review, 16 studies were included with 41 myocarditis and six AMI cases. In the pooled analysis of the study cohort and the systematic review, 35 patients had AMI and 42 had myocarditis. Majority were men, and myocarditis patients were younger than AMI patients. Myocarditis patients tended to present 72 hours post-vaccination, while AMI patients were older and typically presented 24 hours post-vaccination. Majority with AMI or myocarditis developed symptoms after the first and second vaccination dose respectively. CONCLUSIONS: This pooled analysis of patients presenting with cardiac manifestations following COVID-19 vaccination highlights the differences between myocarditis and AMI presentations in temporal association with the vaccination.