ABSTRACT
The study examines how literacy affects COVID-19. It has considered state-level recovery to the total tested ratio and fully vaccinated-to-population ratio as two dependent variables;on the other hand, the state-wise literacy ratio and population density have been considered as independent variables. The success against COVID-19 in India has been achieved through digital retaliation along with the spread of information regarding social distancing, vaccinations, curfews, and lockdowns. The results reveal that the literacy rate impacts both the dependency ratios in a statistically significant and positive way. Quantification of the impact of literacy on COVID-19 is the most novel and unique. [ FROM AUTHOR] Copyright of Journal of Asian & African Studies (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Reverse migration was the trending issue in several news articles and channels during the pandemic. The authors attempt to investigate migrants? sensitivity during COVID-19. Reverse migrants are sensitive to crucial aspects that bother them during their reverse migration such as mental stress, social issues, transportation issues, job loss, and income loss. The Government of India launched several initiatives to help the reverse migrants, but it is not reaching the migrant people adequately. Hence, in this article, authors critically analyzed the Indian Government?s commitment to the post-return situation and sensitivity toward the rural reverse migrants.
ABSTRACT
Aim: Numerous drugs are being widely prescribed for COVID-19 treatment without any direct evidence for the drug safety/efficacy in patients across diverse ethnic populations. Materials & methods: We analyzed whole genomes of 1029 Indian individuals (IndiGen) to understand the extent of drug-gene (pharmacogenetic), drug-drug and drug-drug-gene interactions associated with COVID-19 therapy in the Indian population. Results: We identified 30 clinically significant pharmacogenetic variants and 73 predicted deleterious pharmacogenetic variants. COVID-19-associated pharmacogenes were substantially overlapped with those of metabolic disorder therapeutics. CYP3A4, ABCB1 and ALB are the most shared pharmacogenes. Fifteen COVID-19 therapeutics were predicted as likely drug-drug interaction candidates when used with four CYP inhibitor drugs. Conclusion: Our findings provide actionable insights for future validation studies and improved clinical decisions for COVID-19 therapy in Indians.
Subject(s)
COVID-19 Drug Treatment , COVID-19/genetics , Antiviral Agents/therapeutic use , Asian People , Drug Interactions/genetics , Genome/genetics , Genotype , Humans , India , Pharmacogenetics/methods , Pharmacogenomic Testing/methods , Pharmacogenomic Variants/genetics , SARS-CoV-2/drug effectsABSTRACT
Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequenced 200 samples from patients in Kerala using COVIDSeq protocol amplicon-based sequencing. The analysis identified 166 high-quality single-nucleotide variants encompassing four novel variants and 89 new variants in the Indian isolated SARS-CoV-2. Phylogenetic and haplotype analysis revealed that the virus was dominated by three distinct introductions followed by local spread suggesting recent outbreaks and that it belongs to the A2a clade. Further analysis of the functional variants revealed that two variants in the S gene associated with increased infectivity and five variants mapped in primer binding sites affect the efficacy of RT-PCR. To the best of our knowledge, this is the first and most comprehensive report of SARS-CoV-2 genetic epidemiology from Kerala.