Super-rapid race for saving lives by developing COVID-19 vaccines.

The pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people and claimed thousands of lives. Starting in China, it is arguably the most precipitous global health calamity of modern times. The entire world has rocked back to fight against the disease and the COVID-19 vaccine is the prime weapon. Even though the conventional vaccine development pipeline usually takes more than a decade, the escalating daily death rates due to COVID-19 infections have resulted in the development of fast-track strategies to bring in the vaccine under a year's time. Governments, companies, and universities have networked to pool resources and have come up with a number of vaccine candidates. Also, international consortia have emerged to address the distribution of successful candidates. Herein, we summarize these unprecedented developments in vaccine science and discuss the types of COVID-19 vaccines, their developmental strategies, and their roles as well as their limitations.

Cognitive assessment in asymptomatic COVID-19 subjects.

Neurological features of COVID-19 have been reported in addition to the respiratory manifestations, but cognitive dysfunction has been scarcely described. And cognitive assessment has not been studied in asymptomatic subjects. We compared the cognitive assessment scores between asymptomatic SARS-CoV-2 infected subjects with that of controls to detect mild cognitive impairment by the Montreal Cognitive Assessment test. Asymptomatic COVID-19 subjects secured lower scores in certain domains of the MoCA in comparison with the controls. The domains were visuoperception (2.4 ± 0.7 vs2.8 ± 0.7, p = 0.032), naming (3.6 ± 0.5 vs3.9 ± 0.2, p = 0.016) and fluency (0.9 ± 0.6 vs1.6 ± 0.7, p = < 0.001). Also, older aged COVID-19 positive subjects scored lower in the MoCA when compared to the younger people. Our study shows that even otherwise asymptomatic COVID-19 subjects have cognitive deficits in certain subdomains and suggests the need for a detailed psychometric assessment especially in the elderly population. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s13337-021-00663-w).

Gender and occupation predict Coronavirus Disease 2019 knowledge, attitude and practices of a cohort of a South Indian state population.

CONTEXT: Coronavirus disease 2019 (CoViD 19) pandemic has induced the government to initiate strict control measures. Improvements to these measures and shortcomings could be gleaned with the understanding of the knowledge, attitude and practices (KAP) of the public. AIMS: The aim of this study the CoViD 19 KAP of a south Indian state population. SETTINGS AND DESIGN: This was a Cross-sectional observational study. SUBJECTS AND METHODS: We conducted an online survey to elicit this information. STATISTICAL ANALYSIS USED: Mean, Standard deviation, Binomial and Multinomial logistic regression. RESULTS: Of the 1837 subjects who answered the survey, 70% were youth (16-29 years), 54% were postgraduates and 47.8% were desk jobholders. The mean knowledge score was 9.92 ± 2.37/14 and 94.44% secured at least above-average score. The subjects had a positive (70%) attitude towards the CoViD 19 situation and 77% of subjects followed good preventive practices. However, we found that women, people with low education and nonmedical background were associated with poor knowledge and practices. The attitude was poor in subjects occupant in physical works. CONCLUSIONS: The health policy would better serve the purpose of the groups with poor scores are targeted.