COVID in Post Vaccinated individuals- Beacon of Light
Sashindran, V. K.; Rajesh, K.; Nigam, A.; Mohakuda, S. S.; Bhati, N.; D, M.
10.1101/2021.06.18.21258796 medRxivShow abstract
IntroductionCOVISHIELD and COVAXIN have been introduced post rapid approval as COVID vaccines in India, which has the second most COVID cases across countries. These vaccines are being administered in a two-dose schedule from 16 Jan 2021. This study deals with the clinical profile of individuals who developed COVID infection post-COVID vaccination. This is the first study of similar nature in India. MethodologyThe study population comprised of individuals who were detected to be COVID positive 04 weeks post-vaccination and were compared with individuals detected positive within the first 04 weeks of vaccination. Data was collected in a digital questionnaire format and analyzed with SPSS v-23 software. Clinical features were profiled in detail. Chi-square analysis was done to find out the association of various demographic features with the severity of the disease. ResultsIn the study population, fever was the commonest symptom (75.1%) followed by anosmia (72.1%), and shortness of breath (16.3%). There was a lower incidence of fever, cough, dyspnea, and requirement of hospitalization in the study population as compared to the control group and previous epidemiological data. The time required for complete recovery and disease severity was favorable in our study population. There was a significant correlation in the rate of hospitalization among the study group and the comparative group (p=0.0001) and between the number of dosage of COVID vaccine with the lowest SpO2 recorded (p=0.001). ConclusionThis study will boost the ongoing initiative of having a maximal vaccinated population countrywide and emphasize the need for two doses of vaccination.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Seroprevalence of anti-SARS-CoV-2 specific antibodies in vaccinated and vaccine naïve adult Nigerians 97%
- Understanding COVID-19 vaccine hesitancy in Pakistan: The paradigm of Confidence, Convenience, and Complacency; A Cross-sectional study 96%
- Acceptance of COVID-19 Vaccine in Pakistan Among Health Care Workers 96%
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%
- Experience from a COVID-19 screening centre of a tertiary care institution: A retrospective hospital-based study 97%
- Serological prevalence of SARS-CoV-2 antibody among children and young age (between age 2-17 years) group in India: An interim result from a large multi-centric population-based seroepidemiological study 96%
Similar papers in this journal
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 96%
- SARS-CoV-2 seroprevalence in Delhi, India - September-October 2021 – a population based seroepidemiological study 96%
- Clinical Characteristics and Outcomes of Laboratory-Confirmed SARS-CoV-2 Cases Infected with Omicron subvariants and XBB recombinant variant 95%
Similar papers in this journal
- ChAdOx1 n-COV-19 Vaccine Side Effects Among Health Care Workers in Trinidad and Tobago 96%
- Awareness, Acceptance and Associated Factors of Human Papillomavirus Vaccine Among Parents of Daughters in Hadiya Zone, Southern Ethiopia: A Cross-Sectional Study 96%
- Utility of IL-6 in the diagnosis, treatment and prognosis of COVID-19 patients: A longitudinal study 95%
Similar papers in this journal
- When it is available, will we take it? Public perception of hypothetical COVID-19 vaccine in Nigeria 97%
- COVID-19 in Hospitalized Ethiopian Children: Characteristics and Outcome Profile 96%
- Predictors of Death in Severe COVID-19 Patients at Millennium COVID-19 Care Center in Ethiopia: A Case-Control Study 94%
"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.