ABSTRACT
In recent years, due to the widespread of COVID-19 pandemic, a large amount of data set is available about the various types of vaccines used by different countries for the protection of their citizens. So it is very important and useful if one is able to perform effective analysis of the same to make the awareness and the effectiveness of each vaccine known to mankind. It is found that COVID-19 vaccines increase the immune system, prepare the body to fight against the virus, and reduce the probability of contracting COVID-19.this can be done with the help of regression techniques such as The MAE, MSE, RMSE values to predict and evaluate the observations with more efficiency. The RMSE technique measures the standard deviation of results and provides more accuracy. This analysis helps to find out how COVID-19 vaccines are provided in various countries and the countries where 80% of the population is vaccinated. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The global outbreak of SARS-CoV-2 has spurred a reassessment of Municipal Solid Waste management strategies and approaches. A significant need for sanitation and hygiene was accentuated for disease prevention and control with the onset of the pandemic. With an alteration of the status quo in waste management system, an unprecedented amount of face masks, protective equipment, and other biological wastes was generated in the form of Municipal Solid Waste. This upsurge of potentially infected wastes originated a risk of transmission amongst frontline workers. Furthermore, the potential contamination of Municipal Solid Waste was rendered as a legitimate threat due to improper collection practices, disposal and handling of solid waste. Several novel waste disposal techniques and waste management policies were also introduced during this period. However, the sanitation-policy making-occupational safety nexus remains inadequately explored under the prevalent COVID-19 scenario. Through the prism of shifting waste composition, this review offers a global assessment of existing solid waste management systems during the COVID-19 pandemic. The physiological and psychological hazards faced by the frontline workers were explored and instances of best-case and worst-case policies on solid waste handling were recorded. Modern methods of waste disposal and latest trends of policymaking were evaluated. A model study of unsupervised learning via Partition Around Medoids cluster analysis was undertaken to reveal underlying patterns of waste management policies. Although, the clusters were formed devoid of any socio-economic parameters, this study strives to indicate proof of concept and can serve as a precursor to advanced clustering studies. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
Due to the multifaceted life that humans have, mental health has come to be of significant concern. With work hours spanning for over 8 hours, COVID invading the world and people working from home-the balance between professional and personal life has lost balance and more than ever we see the necessity to put oneself first and to indulge in self-care. This leads to cognitive-load due to the mental strain from multiple frontiers at the same time. The increase in cases of people suffering from mental health and the "new normal"in the post-pandemic world, we see the ever more necessity of Cognitive Behavioural Therapy. Through this paper, we propose a design-led intervention in Cognitive Behavioural Therapy (CBT) through user study to understand the different aspects of CBT and how the user experience of the same can be improved. © 2020 ACM.