Early Side Effects after Administration of the 1st Dose of Oxford-AstraZeneca Vaccine
Singh, P.; Faisal, A. R.; Shah, M. H.; Saeed, A.; Younas, H.; Butt, U. S.; Pudasaini, S.; Pasha, A. R.; Rehman, U.
Show abstract
Vaccines have played a central role in minimizing new infections, the rate of hospitalizations, and the overall burden on the health sector. Fear of side-effects is the biggest and commonest reason for avoiding getting vaccinated. It is, therefore, essential to maintain the clarity and consistency of message, to support and encourage people to get vaccinated. This study aims to contribute in that regard, by registering and quantifying the early side-effects of the Oxford-AstraZeneca COVID-19 vaccine in Pakistan. This study employs a non-random cross-sectional design. Data collected from 477 participants using a structured questionnaire was used to investigate the relationship between socio-demographic characteristics and side effect profiles of the participants. Binomial Logistic Regression was used to analyze the data. Odds Ratio (OR) gives the likelihood of having a side effect versus the reference group. Significance level () for the probability value (p-value) is set at 0.05. Fever (30.19%) was the most commonly experienced side effect, followed closely by fatigue (22.01%). 71.11% of those with fever experienced low grade fever (99-100F) while 62.69% of body aches experienced were moderate in intensity (Grades 4-6). In general, younger people are significantly more likely (p=0.023) to experience side effects (OR-1 = 1.023: interpreted as 1.023 times increase per unit decrease in age). Similarly, they are more likely (p= 0.029) to have a headache (OR-1 =1.039). Also, they are more likely (p= 0.007) to have a body ache (OR-1 =1.038). The Oxford-AstraZeneca COVID-19 vaccine side-effects seem to be more prevalent among younger age groups, which points to increased vaccine safety among older individuals that are usually more susceptible to severe COVID-19 infection. In addition, we found a substantially reduced number of side-effects, as compared to the clinical trials, which is an encouraging indicator for vaccine safety.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Understanding COVID-19 vaccine hesitancy in Pakistan: The paradigm of Confidence, Convenience, and Complacency; A Cross-sectional study 97%
- Acceptance and Attitudes Toward COVID-19 Vaccines: A Cross-Sectional Study from Jordan 97%
- Seroprevalence of anti-SARS-CoV-2 specific antibodies in vaccinated and vaccine naïve adult Nigerians 97%
Similar papers in this journal
Similar papers in this journal
- Assessment of the knowledge, preferences and concern regarding the prospective COVID- 19 vaccine among adults residing in New Delhi, India-A cross sectional study 98%
- COVID-19 Vaccination-Infection Status And Immunological Profile: Identification Of High Risk Population For Targeted Booster Immunization In India 95%
- Experience from a COVID-19 screening centre of a tertiary care institution: A retrospective hospital-based study 94%
Similar papers in this journal
- COVID-19 vaccine uptake among healthcare workers in the fourth country to authorize BNT162b2 during the first month of rollout 95%
- Immunogenicity and reactogenicity after booster dose with AZD1222 via intradermal route among adult who had received CoronaVac 95%
- The effect of Health Literacy on COVID-19 Vaccine Hesitancy: The Moderating Role of Stress 94%
Similar papers in this journal
- The International Classification of Functioning, Disability and Health to map leprosy-related disability in rural and remote areas in Indonesia 93%
- Health professionals over estimation of knowledge on snakebite management, a threat to survival of snake bite victims - A cross-sectional study in Ghana. 93%
- Health-Related Quality of Life of Adults with Cutaneous Leishmaniasis at ALERT Hospital, Addis Ababa, Ethiopia 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.