ABSTRACT
Background: COVID-19 pandemic has exacerbated symptoms in existing diagnosed cases of anxiety. Its impact on people with mental illness is expected to be significant, leading to an increase in relapse rates and expectedly inducing or exacerbating death anxiety. Aims & Objectives: This study aimed to assess the impact of Covid 19 fear on general anxiety and wellbeing and death anxiety and compare people with anxiety spectrum disorders on perceived fear, autonomic anxiety symptoms, and death anxiety with those without these disorders. Materials & Methods: We recruited 36 participants with anxiety spectrum disorder (generalized anxiety disorder (n=6), obsessive-compulsive disorder (n=17), panic disorder (n=5) and mixed anxiety and depression (n=8) and 36 individuals free from any psychiatric illness. Tools used include General Health Questionnaire, Fear of COVID-19 Scale, Perceived Stress Scale, Beck Anxiety Inventory and Multidimensional Fear of Death Scale. Results: A statistically significant correlation was noted between many variables in both the study groups. The regression analysis showed a significant difference in general well-being and anxiety & death anxiety in the clinical group. Study outcomes indicated that the current pandemic has triggered significant fear and anxiety in anxiety patients and among healthy controls and has triggered significant death anxiety in the clinical and healthy control group. Conclusion: The study showed that fear of covid-19 is a predictive factor for stress, death anxiety, and general well-being. These findings may be helpful to plan preventive measures, tailored intervention focusing on death anxiety and relapse plans effectively. © 2022 by the Author(s).
ABSTRACT
The rise of multiple company competitors during the COVID-19 outbreak resulted in fierce competition among competing firms for new clients and the retention of current ones. As a result of the foregoing, exceptional customer service is required, regardless of the size of the organization. Furthermore, any company's ability to know each of its customers' desires will provide it an advantage when it comes to providing specialized customer care and establishing customized marketing plans for them. The term 'Consumer Buying Behavior Analysis' refers to a comprehensive assessment of the company's ideal clients/customers. In this project, we're utilizing the K-Means Algorithm to divide clients into two groups: 'Highly Active Customers' and 'Least Active Customers.' Then, utilizing the Apriori Algorithm, we use Association Rule Mining to recommend the best goods to clients based on their purchasing history and associations. We take one step further and use Logistic Regression to validate our Clustering operation by doing Binary Classification with our clusters as the label, resulting in accuracy and an F1 score of 91%. © 2022 IEEE.
ABSTRACT
COVID-19 has created a pandemic worldwide, paused the path of building the future, and is still ongoing without any long-term solution. The time taken in vaccine distribution is too slow compared to the spread of COVID-19. Hence, it is important to be aware and take precautions on time without delaying and waiting for long-duration after getting infected with the virus. Technology nowadays is more advanced than ever before. Almost everyone has access to at least one mobile device with internet connection. Therefore, we propose a Fog Server (FS) based system that helps create awareness about the spread of COVID-19 within the surroundings of an individual, utilizing the concept of Hidden Markov Model (HMM) and Bluetooth contact tracing in polynomial computational time complexity. Moreover, we evaluate the effectiveness of the proposed model through real-world data analysis on different simulation settings. © 2023 ACM.
ABSTRACT
Mechanical ventilation is a life-saver in the development of modern ICUs. This paper provides an idea of origin of modern mechanical ventilators. Based on reviewed literature, a simple, easy-To-use and easy-To-build design of low-cost portable ventilator is proposed in this paper. The proposed ventilator prototype is assumed to have better working performance than already available in market in very low cost. This ventilator will help in the situation like COVID-19 when the whole world facing the difficulties related to ventilators. © 2021 IEEE.
ABSTRACT
Background: SARS-COV-2 causes a highly pathogenic disease called COVID-19. This disease leads to a variety of respiratory infections like pneumonia, cold, sneezing, etc. As this disease is being transmitted via airborne droplets, it is highly essential to use PPEs, including masks, gloves, etc. This virus interacts with the ACE2 receptor and further makes its entry into host cells leading to viral pathogenesis. This viral is reported to be originated from the Wuhan market, China. Despite on-going efforts to control the spread, a number of cases of COVID-19 are increasing on a daily basis. Objective: This study aims to collect more information about aspects of nanotechnology-based applications towards COVID-19 management. Methods: A systemic search has been carried out using PubMed, Google Scholar, CNKI, etc., for relevant studies. Results and Conclusion: Nanotechnology-based various approaches like nanomedicines, surface coatings with nanoparticles, nanoparticle coated PPEs, and nanosensors could significantly reduce the healthcare burden by reducing the spread. The current review focuses on various approaches of nanotechnology during the pandemic COVID-19. © 2021 Bentham Science Publishers.
ABSTRACT
The recent catastrophic outbreak of a novel coronavirus (COVID-19), currently renamed as COVID-19;recalled us the earlier memories created by the Severe Acute Respiratory Syndrome Human coronavirus (SARS-CoV) from nearly two decades ago. With the new advancements in earlier detection techniques for infections and better treatments;now we are better supported to deal this recent infestation of 2B coronavirus.