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Trop Med Health ; 50(1): 59, 2022 Aug 30.
Article in English | MEDLINE | ID: covidwho-2021353

ABSTRACT

BACKGROUND: Vaccination can be an essential protective measure against Coronavirus disease 2019 (COVID-19) if well received by the public. Various factors affect the acceptance or refusal of vaccines. Several waves of COVID-19 caused much death in Iran. This study aimed to evaluate the acceptance of the COVID-19 vaccine in the general population of Asadabad in 2021. METHODS: In this cross-sectional study, 650 people from the general population of Asadabad with a mean age of 34.6 (SD = 15.1) years were selected and included. In addition to socio-economic and demographic data, data were collected using the COVID-19 fear scale. Univariate and multiple logistic regression models were used to investigate the relationship between the tendency to get the COVID-19 vaccine (the dependent variable) and other variables. RESULTS: About 42.3% of participants were reluctant to receive the available COVID-19 vaccines. After adjusting for several covariates, there was a significant relationship between willingness to get vaccinated and family history of COVID-19 infection (AOR = 1.86, 95% CI 1.06-3.27, p = 0.032), trust in healthcare workers (AOR = 2.07, 95% CI 1.13-3.79, p = 0.019), trust in existing vaccines (AOR = 3.94, 95% CI 2.15-7.23, p < 0.001), encouraging family members to get vaccinated (AOR = 7.6, 95% CI 4.12-14.01, p < 0.0001). Also, people infected with COVID-19 are less likely to accept vaccination (AOR = 0.55, 95% CI 0.33-0.93, p = 0.025). Also, a unit increase in the score of fear of getting the COVID-19 virus increased the odds of getting the COVID-19 vaccine by 6% (AOR = 1.06, 95% CI 1.02-1.10, p = 0.002). CONCLUSION: The culture and context of different societies can affect the acceptance or refusal of the COVID-19 vaccine. Based on these characteristics and providing extensive education to the people, the health authorities in each community should build trust and better communicate all health information to clear any fear and remove all obstacles to increase willingness to get COVID-19 vaccination.

2.
Indian J Nucl Med ; 36(3): 343-346, 2021.
Article in English | MEDLINE | ID: covidwho-1468590

ABSTRACT

Benign metabolic uptake on fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET) is not uncommonly seen after immunization. We report a case of 30-year-old man with Hodgkin's lymphoma who underwent two cycles of chemotherapy. Interim 18F-FDG PET/computed tomography demonstrated complete metabolic response of prior hypermetabolic bilateral supraclavicular and mediastinal lymph nodes. Although multiple new normal-sized hypermetabolic left axillary and subpectoral lymph nodes are noted, relevant history revealed COVID vaccine 7 days prior scan with mild FDG uptake at the left deltoid muscle. These new findings at the left axilla are likely related to recent vaccination. 18F-FDG PET uptake in the lymph nodes is not so uncommon after immunization; relevant history is very important especially in the phase of massive immunization to avoid false interpretation.

3.
Clin Nucl Med ; 46(5): 435-436, 2021 May 01.
Article in English | MEDLINE | ID: covidwho-1116482

ABSTRACT

ABSTRACT: Benign uptake on 18F-FDG PET can be seen with inflammatory conditions. We report a case of an 86-year-old woman with successfully treated nasal melanoma who underwent routine follow-up 18F-FDG PET, day 6 after the second dose of Pfizer-BioNTech COVID-19 vaccine inoculated in the left deltoid muscle. 18F-FDG PET showed increase tracer uptake in the left deltoid muscle and in 2 normal-sized left subpectoral nodes. These findings were considered secondary to vaccination. With the current drive of global COVID-19 immunization, this case highlights the importance of documenting vaccination history at the time of scanning to avoid false-positive results.


Subject(s)
COVID-19 Vaccines/adverse effects , COVID-19 Vaccines/metabolism , Fluorodeoxyglucose F18 , Lymph Nodes/immunology , Lymph Nodes/metabolism , Positron Emission Tomography Computed Tomography , Vaccination , Aged, 80 and over , Biological Transport , COVID-19 Vaccines/immunology , Female , Humans , Lymph Nodes/diagnostic imaging , Melanoma/diagnostic imaging , Melanoma/immunology
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