RESUMEN
The Internet of Things (IoT) shall be merged firmly and interact with a higher number of altered embedded sensor networks. It provides open access for the subsets of information for humankind's future aspects and on-going pandemic situations. It has changed the way of living wirelessly, with high involvement and COVID-related issues that COVID patients are facing. There is much research going on in the recent domain, like the Internet of Things. Considering the financial-economic growth, there isn't much significance as IoT is growing with industry 5.0 as the latest version. The newly spreading COVID-19 (Coronavirus Disease, 2019) will emphasize the IoT based technologies in a greater impact. It is growing with an increase in productivity. In collaboration with Cloud computing, it shows wireless communication efficiently and makes the COVID-19 eradication in a greater way. The COVID-19 issues which are faced by the COVID patients. Many patients are suffering from inhalation because of lung problems. The second wave attacks mainly on the lungs, where there is a shortage of breathing problems because of less supply of oxygen (insufficient amount of oxygen). The challenges emphasized as proposed are like the shortage of monitoring the on-going process. Readily being active in this pandemic situation, the mentioned areas are from which need to be discussed. The frameworks and services are given the correct data and information for supply of oxygen to the COVID patients to an extent. The Internet of Things also analyzes the data from the user perspective, which will later be executed for making on-demand technology more reliable. The outcome for the COVID-19 has been taken completely to help the on-going COVID patients live, which can be monitored through Oxygen Concentration based on the IoT framework. Finally, this article discusses and mentions all the parameters for COVID patients with complete information based on IoT. © 2022 IEEE.
RESUMEN
COVID-19 pandemic has been spread over a large geographical area and has affected a large proportion of the population. Maintaining social distance, quarantine, frequent hand-washing, using alcohol-based hand sanitizer and wearing medical mask are essential to protect us and others from COVID-19. To safe the people and help the government authority, several researchers have also developed many mobile applications, medical masks, drones, ventilation systems, etc. for this purpose. In this paper, an efficient android-application-controlled car for human safety against COVID-19 pandemic has been proposed. The proposed architecture can be useful for patient handling and proper transportation of COVID-19-suspected patients. This approach will be beneficial for the ambulance drivers and other emergency service providers who are playing an important role to protect the community from this infectious disease. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
RESUMEN
The purpose of the present study was to develop a scale for measuring coping strategies used in the novel COVID-19 pandemic among the adult residents of Kolkata in India. An exploratory cross-sectional study was conducted, that included - conceptualization and generation of 36 items for 16 coping strategies with five-point response categories;relevance judgment (based on item validity index) & item validation (based on item-domain total correlation) of these items;and identification & validation of the factor structure. An online survey was conducted using snowball sampling technique during three weeks of April 2020. Complete sets could be obtained from 388 participants (200 males and 188 females). The S-CVI results (relevance of overall questionnaire) indicated high content validity (0.88) for all items of coping and significant positive item-domain total correlations were found in the process of item analysis. Based on scores of sixteen coping strategies, principal component analysis resulted in five factors as indicated by eigenvalues (1.34 to 3.32) and scree plot. These five common components were identified as positive emotion focused, escape oriented, depression developing, solution generating and self-soothing coping and a unique component- catastrophizing. This factor structure was validated through confirmatory factor analysis and same factor structure of the scale was found. Satisfactory internal consistencies of all components were found (0.61-0.89). The tool would be useful for understanding adaptive and maladaptive coping strategies used by people during a pandemic situation and it will also help in planning therapeutic intervention for combating the posttraumatic stress of this pandemic situation. Copyright © Behavioral Science Research Institute