Effectiveness of BBV152/Covaxin and AZD1222/Covishield vaccines against severe COVID-19 and B.1.617.2/Delta variant in India, 2021: a multi-centric hospital-based case-control study.

OBJECTIVES: India introduced BBV152/Covaxin and AZD1222/Covishield vaccines in January 2021. We estimated the effectiveness of these vaccines against severe COVID-19 among individuals aged ≥45 years. METHODS: We did a multi-centric, hospital-based, case-control study between May and July 2021. Cases were severe COVID-19 patients, and controls were COVID-19 negative individuals from 11 hospitals. Vaccine effectiveness (VE) was estimated for complete (2 doses ≥ 14 days) and partial (1 dose ≥ 21 days) vaccination; interval between two vaccine doses and vaccination against the Delta variant. We used the random effects logistic regression model to calculate the adjusted odds ratios (aOR) with a 95% confidence interval (CI) after adjusting for relevant known confounders. RESULTS: We enrolled 1143 cases and 2541 control patients. The VE of complete vaccination was 85% (95% CI: 79-89%) with AZD1222/Covishield and 71% (95% CI: 57-81%) with BBV152/Covaxin. The VE was highest for 6-8 weeks between two doses of AZD1222/Covishield (94%, 95% CI: 86-97%) and BBV152/Covaxin (93%, 95% CI: 34-99%). The VE estimates were similar against the Delta strain and sub-lineages. CONCLUSION: BBV152/Covaxin and AZD1222/Covishield were effective against severe COVID-19 among the Indian population during the period of dominance of the highly transmissible Delta variant in the second wave of the pandemic. An escalation of two-dose coverage with COVID-19 vaccines is critical to reduce severe COVID-19 and further mitigate the pandemic in the country.

Awareness and Satisfaction About COVAXIN Vaccination Services at an Immunization Clinic in Nagpur: A Cross-Sectional Study.

Introduction Initially, coronavirus disease 2019 (COVID-19) vaccination was started in India for the elderly above 60 years of age. Adults with any comorbidity have been gradually included in the vaccination drive. It is empirical to gain insight into the satisfaction of these beneficiaries with the vaccination as it may act as an influencing factor for receiving the vaccine. Materials and methods This was a descriptive cross-sectional study carried out at the COVID-19 vaccination clinic of the Government Medical College and Hospital, Nagpur, among individuals above 60 years of age and those from 45 to 60 years of age with comorbidity. The survey tool was a predesigned structured questionnaire that had close-ended questions on various aspects of awareness about the COVID-19 vaccines and their satisfaction with the immunization center. Interviews were conducted by two interviewers on each day. Data were analyzed using open software Epi Info (CDC, Atlanta, Georgia). The chi-square test was applied as a test of significance. Results A total of 290 subjects participated in the study. The majority had correct knowledge about COVID-19 vaccination and appropriate COVID-19 behavior after vaccination. Fever and body ache were known to most of the subjects as adverse effects following immunization. Social media was the most common source of knowledge. The majority of the subjects were satisfied with the services provided at the vaccination center, but there was no difference as per age, gender, or residential status of the subjects. Conclusion Despite mixed rumors about the COVID-19 vaccine, the majority of the study subjects were well satisfied with the vaccination. They were apparently having fair awareness about the vaccine.

Independent association of meteorological characteristics with initial spread of Covid-19 in India.

Whether weather plays a part in the transmissibility of the novel Coronavirus Disease-19 (COVID-19) is still not established. We tested the hypothesis that meteorological factors (air temperature, relative humidity, air pressure, wind speed and rainfall) are independently associated with transmissibility of COVID-19 quantified using the basic reproduction rate (R0). We used publicly available datasets on daily COVID-19 case counts (total n = 108,308), three-hourly meteorological data and community mobility data over a three-month period. Estimated R0 varied between 1.15 and 1.28. Mean daily air temperature (inversely), wind speed (positively) and countrywide lockdown (inversely) were significantly associated with time dependent R0, but the contribution of countrywide lockdown to variability in R0 was over three times stronger as compared to that of temperature and wind speed combined. Thus, abating temperatures and easing lockdown may concur with increased transmissibility of COVID-19 in India.