Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.

Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and nasal or pharyngeal droplets. The COVID-19 database 'Our World in Data' was analyzed from February 24, 2020, to September 26, 2021, and predictions on the COVID positives and their mortality rate were made. Factors such as Vaccine data for the First and Second Dose vaccinated individuals and COVID positives that influence the fluctuations in the COVID-19 death ratio were investigated and linear regression analysis was performed. Based on vaccination doses (partial or complete vaccinated), models are created to estimate the number of patients who die from COVID infection. The estimation of variance in the datasets was investigated using Karl Pearson's coefficient. For COVID-19 cases and vaccination doses, a quartic polynomial regression model was also created. This predictor model helps to predict the number of deaths due to COVID-19 and determine the susceptibility to COVID-19 infection based on the number of vaccine doses received. SVM was used to analyze the efficacy of models generated.

Emerging Therapeutic Approaches to COVID-19.

Coronavirus disease (COVID-19) is caused by a novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), which is a positive single-stranded RNA virus having a large genome ~30 kb. SARSCoV- 2 is zoonotic and highly contagious, causing severe pneumonia-like symptoms. The efficacy of the different potential drug and drug candidates against COVID-19 has been investigated, which are under various stages of clinical trials. The drugs effective against SARS, and Middle east respiratory syndrome (MERS), have been proposed to have a high potential for the treatment of COVID-19. Here, we selected plant-based materials implicated in the prevention and therapy of COVID-19. The plant produces secondary metabolites in response to viral infection. Different classes of secondary metabolites have different mechanisms to counter virus attacks. Many nanomaterials produced by carbohydrates and lipids have been exploited for their in-vitro and in-vivo delivery of antiviral therapeutics. The vaccine has shown impressive results in producing antibodies against SARS-CoV2 and has been evaluated for safety, tolerance, and preliminary immunogenicity. Similarly, DNA/RNA-based therapy has shown high clinical significance. Various forms of vitamins, minerals, herbs, and phytonutrients help to enhance immunity and be implicated in the control of COVID-19. However, such measures should not replace social distancing, quarantine and special care.

Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach.

The sudden emergence of severe respiratory disease, caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has recently become a public health emergency. Genome sequence analysis of SARS-CoV-2 revealed its close resemblance to the earlier reported SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV). However, initial testing of the drugs used against SARS-CoV and MERS-CoV has been ineffective in controlling SARS-CoV-2. The present study highlights the genomic, proteomic, pathogenesis, and therapeutic strategies in SARS-CoV-2 infection. We have carried out sequence analysis of potential drug target proteins in SARS-CoV-2 and, compared them with SARS-CoV and MERS viruses. Analysis of mutations in the coding and non-coding regions, genetic diversity, and pathogenicity of SARS-CoV-2 has also been done. A detailed structural analysis of drug target proteins has been performed to gain insights into the mechanism of pathogenesis, structure-function relationships, and the development of structure-guided therapeutic approaches. The cytokine profiling and inflammatory signalling are different in the case of SARS-CoV-2 infection. We also highlighted possible therapies and their mechanism of action followed by clinical manifestation. Our analysis suggests a minimal variation in the genome sequence of SARS-CoV-2, may be responsible for a drastic change in the structures of target proteins, which makes available drugs ineffective.