ABSTRACT
New SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus Type-2) variant termed to be “B.1.1.529” subtype mutation, which is a primary concern, might heavily influence further transmission, virulence and even affect the functioning of test methods and efficacy medications (vaccines). It is still not clear on the timeline for the Omicron (B.1.1.529) subtype to develop protective immunity or even when normal activities will rebound in our everyday lives. Computational analysis on the available big dataset of the Omicron variants’ and their effects on the unvaccinated population indicate that the concerned variant seemed to have a stronger propensity for the vulnerable group (unvaccinated community). In consequence of the terrible COVID-19 epidemic, scientific research on vaccine development and their future enhancement throughout the world have been stepped up significantly. We assessed approved vaccines’ effect on morbidity, hospital stays, and fatalities worldwide. Through available big datasets, an Ensemble learning strategy was used to estimate the likelihood of an unvaccinated person contracting a virus. Overall incidence rates dropped from 18.56 per cent to 2.8 per cent for the vaccinated community during the observation period. People ≥ 60 years had the most remarkable percentage drop (~ 15 per cent). In addition, about 70.4 per cent, immunization through vaccines lowered the number of hospitalizations (both ICU and non-ICUs) and fatalities. Through our research observations, the facts clear that immunization through vaccination has a significant influence on decreasing COVID-19 rapid transmission, even if it provides only a modest level of protection. However, to accomplish this effect, non-pharmaceutical therapies must be maintained indefinitely.
ABSTRACT
The outbreak of the Pandemic in last few months, rapid increase in the transmission of the virus and also the new emerging various strains of COVID-19 corona virus has led to complete Iockdown in the entire world. Meanwhile Iockdown imposed on various countries for longer duration has affected almost every sector of the society causing loss leading to hunger and poverty in the world. By considering all the situations and difficulties underwent by the human society a clear scenario where country not only needs Iockdown as it cannot be the effective solution in slowing down the rate of disease affecting people, So Society is Constantly looking for the alternatives that could help every sector in their business without loss is the topic of the hour. An alternative which could satisfy the above conditions is by Social Distancing and Wearing the Face mask. There by proposing our Real Time System which will detect whether required distance is maintained between two people and detect whether the face mask is worn or not by people with the aid of Web Camera using the most trending technologies Artificial Intelligence, Machine Learning Algorithms, Deep Learning, CNN and few more. © 2021 IEEE.