ABSTRACT
Vaccine hesitancy is an important feature of every vaccination and COVID-19 vaccination is not an exception. During the COVID-19 pandemic, vaccine hesitancy has exhibited different phases and has shown both temporal and spatial variation in these phases. This has likely arisen due to varied socio-behavioural characteristics of humans and their response towards COVID 19 pandemic and its vaccination strategies. This commentary highlights that there are multiple phases of vaccine hesitancy: Vaccine Eagerness, Vaccine Ignorance, Vaccine Resistance, Vaccine Confidence, Vaccine Complacency and Vaccine Apathy. Though the phases seem to be sequential, they may co-exist at the same time in different regions and at different times in the same region. This may be attributed to several factors influencing the phases of vaccine hesitancy. The complexities of the societal reactions need to be understood in full to be addressed better. There is a dire need of different strategies of communication to deal with the various nuances of all of the phases. To address of vaccine hesitancy, an understanding of the societal reactions leading to various phases of vaccine hesitancy is of utmost importance.
Subject(s)
COVID-19 , COVID-19/prevention & control , COVID-19 Vaccines , Humans , Israel , Pandemics , Patient Acceptance of Health Care , Vaccination HesitancyABSTRACT
Background The COVID-19 vaccination was launched in a phased manner by the government of India prioritizing healthcare workers. This study assessed the perception of healthcare workers regarding COVID-19 vaccination. Methods This cross-sectional study was conducted among healthcare workers vaccinated at a tertiary care center of southern Rajasthan. Logistic regression analysis was used to note the association of perception regarding vaccine safety and other variables. Results Out of 3,102, 56.8% were male, and the majority (73.7%) were in the age range of 20-35 years. Out of the total, 80.7% and 73.2% of subjects perceived the vaccine as safe and effective, respectively. The perception regarding the timing of rolling out of vaccine and readiness for COVID-19 appropriate behavior after vaccination was statistically significant (p<0.001). The commonest undesirable effect following vaccination was pain at the injection site. Most of the subjects did not report undesirable effects following vaccination. Logistic regression analysis showed that the involvement in the direct care of COVID-19 patients (OR: 1.58;95% CI: 1.29, 1.94), the experience of COVID-19 infection in the past (OR: 0.68;95% CI: 0.50, 0.91), the timing of the rollout of vaccine (OR: 3.60;95% CI: 3.24, 4.10) showed a significant association with perception of the safety of COVID-19 vaccine. Conclusions The vaccine was perceived safe and effective by healthcare workers and reported minimal undesirable effects. The COVID-19 vaccine safety is also dependent on the past COVID-19 infection, involvement in patient care, and time of rollout of the vaccine.
ABSTRACT
BACKGROUND: It has been over a year since the declaration of novel coronavirus disease (COVID-19) as pandemic by World Health Organization on March 11, 2020. Although mortality in India is low, as compared to western countries, the steady increase in the number of cases is still a worrying sign. The objectives of this study were to identify and quantify the association between sociodemographic and clinical characteristics with mortality among patients, suffering from COVID-19 at a tertiary care hospital in Udaipur, Rajasthan. MATERIAL AND METHODS: This retrospective observational study involved 824 patients hospitalized for COVID 19 at a tertiary hospital in Udaipur, who were discharged or had died. Electronic health records of the patients were accessed to retrieve the sociodemographic information (age, gender, residence, religion, socioeconomic status), history of exposure, clinical characteristics on admission, comorbidities, and outcomes (recovery or death). The Cox regression model was used to calculate associations between mortality and baseline characteristics in the form of hazard ratios (HRs). RESULTS: Mortality in this study was found to be 5.82%. The mean age of the patients was 48.14 ± 16.2 years. The median time from time of admission to discharge was 8 days (interquartile range (IQR) 5-11), whereas the median time to death was 5 days (IQR 4-10). The variables found to be associated with higher mortality were age (HR 1.17; 95% confidence interval (CI) 1.15-1.24), residing in urban area (HR 1.29; 95% CI 1.17-2.15), diabetes mellitus (HR 1.3; CI 1.02-5.57), and patients having both diabetes and hypertension (HR 2.4; CI 1.69-3.14). CONCLUSION: Sociodemographic variables and comorbidities impact the mortality among COVID 19 patients. The variables most clearly associated with a greater hazard of death were older age, urban area, diabetes, and having both diabetes and hypertension.
ABSTRACT
The world is having COVID 19 pandemic currently. Early diagnosis is a challenge as the COVID 19 illness has variety of presentations. In this regard knowledge about spectrum of clinical presentation may be very helpful. This case report was about presentation of COVID 19 illness as isolated left eye conjunctivitis in a 58 years old male patient. By early diagnosis and appropriate treatment, the patient was recovered completely as well as his positive contacts were also isolated immediately. The study also highlighted the need of awareness among clinicians about isolated left eye conjunctivitis presentation of COVID 19.