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1.
Journal of Pharmaceutical Negative Results ; 13:2425-2433, 2022.
Article in English | EMBASE | ID: covidwho-2164818

ABSTRACT

Background: Hygienic mask use plays a significant role in effectively preventing contagious respiratory disease. COVID pandemic had made wearing masks mandatory for all. All need to follow mask hygienic practice to avoid respiratory infection. Though wearing a mask all time may also lead to discomfort and difficulties. Objective(s): The objective of the study was to assess the perception towards use of face mask among adults Material(s) and Method(s): Conveniently 306 adults were chosen for conducting the study from UPHC Nayapalli and CHC Mendhasala of Khordha district. Participants were asked to fill the perception towards use of face mask (PEM tool) Results: 75.8% strongly agreed that wearing mask keeps a person safe from respiratory infections. 84.3% subjects strongly agreed for wearing a mask in public spaces. . Most 51% strongly disagree that face mask can make the person feel embarrassed. . 44.4% strongly disagree that its feel like to remove mask while talking. Conclusion(s): Present study shows that people are having good perception. They know the importance of mask wearing but sometime they are not able to follow the social guidelines due to various difficulties encountered while wearing mask. Continuous awareness programme is necessary to motivate them. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

2.
The Lancet Infectious Diseases ; 22(12):1676, 2022.
Article in English | EMBASE | ID: covidwho-2150865
3.
Pacific Business Review International ; 15(2):1-8, 2022.
Article in English | Web of Science | ID: covidwho-2102139

ABSTRACT

Digitalization is the era of novel technologies where digital devices and business models are used to develop innovative opportunities for the business world amid COVID-19. In such a panicking situation, the digital platform becomes very essential for people to do online shopping. Thus, in this time of the pandemic, many digital offerings were launched and onlineshopping and digital banking are some of them. With the innovation in every sector, Digital banking is also bringing new platforms for business establishments that have a great influence on the buying behavior of customers.Perceived security is connected with innovative advancements in Digital banking,the performance of the business units and customers' purchase intentions. This study aims to investigate the correlation between Digital banking and online shopping behavior. Further, the study intends to explore the moderating role made by perceived security between digital banking and online shopping amid the COVID-19 lockdown situation. The data has been collected from customers preferring online shopping by using digital banking measures in the Jammu region of the Union Territory of Jammu and Kashmir. A two-step approach to structural equation modeling (SEM) using AMOS was applied. In the first phase,CFA was applied to judge the projected measurement model fit and also to construct validity whereas, the second step was intended at estimating and developingSEM for testing the significance of the hypothetical relationship. The results of SEM discovered that there is a direct relation between Digital Banking and online shopping behaviour, which is being moderated by Perceived security.

4.
Communications in Mathematics and Applications ; 13(2):661-669, 2022.
Article in English | Web of Science | ID: covidwho-2091524

ABSTRACT

In this paper, we have proposed a SIR fuzzy epidemic model by taking the transmission rate and recovery rate as fuzzy numbers. The basic reproduction number and the fuzzy basic reproduction number have been computed. Further by considering the initial values for the susceptible, infected and recovered population the numerical simulation has been carried out using Runge-Kutta method. We can predict the transmission of the virus and prevent the COVID-19 outbreak in India with the results obtained from the proposed SIR model.

5.
Operations Research Perspectives ; : 100258, 2022.
Article in English | ScienceDirect | ID: covidwho-2086610

ABSTRACT

Coronavirus Disease 2019 (COVID-19), a new illness caused by a novel coronavirus, a member of the corona family of viruses, is currently posing a threat to all people, and it has become a significant challenge for healthcare organizations. Robotics are used among other strategies, to lower COVID’s fatality and spread rates globally. The robot resembles the human body in shape and is a programmable mechanical device. As COVID is a highly contagious disease, the treatment for the critical stage COVID patients is decided to regulate through medication service robots (MSR). The use of service robots diminishes the spread of infection and human error and prevents frontline healthcare workers from exposing themselves to direct contact with the COVID illness. The selection of the most appropriate robot among different alternatives may be complex. So, there is a need for some mathematical tools for proper selection. Therefore, this study design the MAUT-BW Delphi method to analyze the selection of MSR for treating COVID patients using integrated fuzzy MCDM methods, and these alternatives are ranked by influencing criteria. The trapezoidal intuitionistic fuzzy numbers are beneficial and efficient for expressing vague information and are defuzzified using a novel algorithm called converting trapezoidal intuitionistic fuzzy numbers into crisp scores (CTrIFCS). The most suitable criteria are selected through the fuzzy Delphi method (FDM), and the selected criteria are weighted using the simplified best-worst method (SBWM). The performance between the alternatives and criteria is scrutinized under the multi-attribute utility theory (MAUT) method. Moreover, to assess the effectiveness of the proposed method, sensitivity and comparative analyses are conducted with the existing defuzzification techniques and distance measures. This study also adopt the idea of a correlation test to compare the performance of different defuzzification methods.

6.
International Journal of Pharmaceutical and Clinical Research ; 14(10):109-115, 2022.
Article in English | EMBASE | ID: covidwho-2072826

ABSTRACT

Background: A retrospective analysis of CSCR patient to ascertain the link between noble corona virus and CSCR disorder. Explosion of covid 19 cases inflated the use of steroid as well as stress in the patients leading to increase CSCR cases in post covid era. Aim(s): To determine the risk factors in covid 19 patients leading to the development of CSR. Material(s) and Method(s): A Retrospective Observational study was done in a tertiary care center from February 2019-January 2021 including all CSR cases and categorizing them into two groups. One pre covid CSR group with patients of CSR diagnosed between February 2019-January 2020 and Post covid CSR group with newly diagnosed CSR cases between February 2020-January 2021. Result(s): The pre-covid group had 194 patients with 132 males and 62 females ageing between 24-40 years. Post covid group had 290 patients with 170 males and 120 females ageing between 21-48 years. B/L disease increased from 2 cases to 13 cases after covid. OCT thickness ranged 290-370 m in the pre covid group in comparison post covid group ranged 319-450 m. Mean steroid intake in post covid group was 41%. Conclusion(s): The outbreak of covid 19 with an increase in stress and irrational use of corticosteroid are major causes of increment in cases of CSR in post covid patients. Copyright © 2022, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

7.
Lancet Infectious Diseases ; 22(9):1288-1288, 2022.
Article in English | Web of Science | ID: covidwho-2067962
8.
Lancet Infectious Diseases ; 22(9):1288-1288, 2022.
Article in English | Web of Science | ID: covidwho-2067961
9.
NeuroQuantology ; 20(8):7940-7952, 2022.
Article in English | EMBASE | ID: covidwho-2033464

ABSTRACT

Background: The COVID-19 had profound effects on nurses' general health. The severity and extent of the COVID-19 epidemic means it is highly likely that health personnel will suffer from psychological stress as a result the direct contact they have with patients who are infected. The goal of this research is to assess the level of anxiety and stress behaviors in B.Sc Nursing students, and to determine the relationship between stress levels and levels of coping, and socio-demographic variables. Methods: This study was cross sectional study. The sample size consisted of 500 BSc nursing students and samples were selected using convenient sampling techniques and the data was collected through self-administered COVID 19 stress scale and COVID 19 coping scale. Results: The study revealed that majority of students (22 %) were male and (78%) were female. Result showed that only (8%) has mild stress, (91%) had moderate stress and had (1%) severe stress, and (2.2%) had poor coping, (96.8%) had average coping and (1%) good coping. There was negative significant correlation (r=-0.721) between stress and coping behaviour among nursing year nursing students. There was significant association between level of stress and demographic variables such as age, education of father and mother, occupation of father and mother and family income. Conclusion: Nursing students' stress levels should be examined on a regular basis, contributing variables should be recognized, and the nurse administrators should establish a guidance, counselling, and stress management program to especially manage the stress during pandemic.

10.
Lancet Infectious Diseases ; 22(7):953-953, 2022.
Article in English | Web of Science | ID: covidwho-2003085
11.
Lancet Infectious Diseases ; 22(7):953-953, 2022.
Article in English | Web of Science | ID: covidwho-2003084
12.
International Journal of Health Sciences ; 6:5037-5047, 2022.
Article in English | Scopus | ID: covidwho-1995071

ABSTRACT

Through the survey conducted by the researchers, it can be inferred that COVID-19 pandemic followed by complete lockdown in India had its immense impact on peoples ‘economic and employment conditions. In India, a developing country, people strive hard to earn for their living where every basic need is expensive for most of the population, which ultimately resulted in people realising the fact that after lockdown is over they have to work double hard and have to start from the beginning to bring back stability in their life. From difficult times to COVID-19 pandemic, people took refuge in their religion which gave them calmness and also somewhere helped them to visualize their condition in better way without freaking out about their future. © 2022 International Journal of Health Sciences.

13.
Asia Pacific Journal of Health Management ; 17(2):8, 2022.
Article in English | Web of Science | ID: covidwho-1979884

ABSTRACT

INTRODUCTION: Health insurance is one of the main non-life insurance sectors, which contributes nearly 29% of general insurance premium income. Almost every industry in the world has been affected by the COVID-19 outbreak and its associated lockdowns, including the Indian insurance industry, which makes a significant contribution to a nation's Gross Domestic Product (GDP) and economic development. OBJECTIVES: This review of literature aims to critically evaluate the performance of Indian health insurance companies along with examining various opportunities and challenges during the time of COVID-19 pandemic. METHOD: The present study is a combination of both exploratory and descriptive literature review types and was entirely based on published secondary data. Literature searches were performed using Google Scholar, Research Gate, ProQuest, and Scopus databases for articles published between 2020 and 2022. The study also used various annual reports of the Insurance Regulatory and Development Authority of India (IRDAI), the internet, newspaper articles, and company websites for the study. RESULTS: Even though there was a lack of literature on this topic, 19 articles were identified for review based on the keyword search that most closely matched the topic of the study. The study assesses the effectiveness of various Indian health insurance companies using four key metrics: gross health premium income, incurred claim ratio, number of policies issued or covered and amount of claim paid. Results of the study have shown that as more people get health insurance during the COVID-19 pandemic, there is a notable growth seen in the overall performance of the health insurance business. CONCLUSION: Health insurers faced both opportunities and challenges as a result of the COVID-19 pandemic, including the imperative need to develop more customer-centric new products and services that enable them to provide a significant health insurance benefit to the large untapped population of the Indian market.

14.
Webology ; 18:368-376, 2021.
Article in English | ProQuest Central | ID: covidwho-1975432

ABSTRACT

The rise of social media has provided a means for the spread of fake news, factual false information that is used to further a financial, political or societal agenda. The response to fake news on social media can be from individual users, social media platform companies, or respective national governments. This systematic literature review was designed to determine whether there is commonality across cultures and nations as to fake news exposure, response to encountering fake news on social media, and attitudes towards mediating efforts. A total of five published journal articles were selected, each using quantitative methods and representing five distinct geographical areas. These articles formed the bases for a systematic literature review that answered the research questions concerned with attitudes towards the threat of fake news, responses to fake news encountered on social media platforms, and attitudes towards efforts to curb fake news, whether by individuals, social media platform companies, or governments. Results showed universal recognition of fake news as a potential or real threat, mixed results as to whether fake news is read or shared by respondents, and mixed results regarding which actor (people, companies or governments) should lead mitigation efforts. These results emphasize the cultural and societal differences that must be considered when investigating fake news, particularly with the intention to develop recommendations or guidelines for its reduction.

15.
LANCET INFECTIOUS DISEASES ; 22(5):599-599, 2022.
Article in English | Web of Science | ID: covidwho-1965334
16.
International Journal of Early Childhood Special Education ; 14(2):4942-4947, 2022.
Article in English | Web of Science | ID: covidwho-1897174

ABSTRACT

The COVID-19 pandemic has forever changed many people to utilise online shopping. The survey, entitled "IMPACT OF ONLINE SHOPPING AMONG THE TEACHING FACULTIES POST THE COVID RESTRICTIONS IN TAMIL NADU STATE", studied how the pandemic has affected how people shop online and employ digital solutions to meet their demands. This study covers the entire state of Tamilnadu and this survey was conducted for the period during August 2021 to December 2021. Some 51% indicated they now shop online more often because of the epidemic, while also citing it as the major source of news, health information, and digital entertainment. There are so many online service providers do exist and providing their very best to their online customers. This research mainly tries to discover the impact of online shopping during post pandemic situation and the satisfaction level provided by various online service providers. This study also provides the service providers some suggestions also still to improve in their services. Consumers in emerging markets have shifted the most to e - shopping, and they are very much used to it now of their practise. "The COVID-19 pandemic has accelerated the shift towards a more digital world. The changes we make now will have lasting effects as the world economy begins to recover," said UNCTAD Secretary-General Mukhisa Kituyi. As the globe proceeds from pandemic response to recovery, the need to ensure that all countries can benefit from digitization is highlighted by the worldwide acceleration of internet purchases, he added.

17.
Comput Electr Eng ; 102: 108166, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1885708

ABSTRACT

In January 2020, the World Health Organization (WHO) identified a world-threatening virus, SARS-CoV-2. To diminish the virus spread rate, India implemented a six-month-long lockdown. During this period, the Indian government lifted certain restrictions. Therefore, this study investigates the efficacy of India's lockdown relaxation protocols using fuzzy decision-making. The decision-making trial and evaluation laboratory (DEMATEL) is one of the fuzzy MCDM methods. When it is associated with intuitionistic fuzzy circumstances, it is known as the intuitionistic fuzzy DEMATEL (IF-DEMATEL) method. Moreover, converting intuitionistic fuzzy into a crisp score (CIFCS) algorithm is an aggregation technique utilized for the intuitionistic fuzzy set. By using IF-DEMATEL and CIFCS, the most efficient lockdown relaxation protocols for COVID-19 are determined. It also provides the cause and effect relationship of the lockdown relaxation protocols. Additionally, the comparative study is carried out through various DEMATEL methods to see the effectiveness of the result. The findings would be helpful to the government's decision-making process in the fight against the pandemic.

18.
Journal of Physics: Conference Series ; 2267(1):012136, 2022.
Article in English | ProQuest Central | ID: covidwho-1876889

ABSTRACT

The virus that arises from Wuhan, popularly called as “coronavirus” has been spread all over the world in a short period. India has also taken preventive measures to control this threatening virus. In addition to precautions, it is necessary to analyze the risk factors of COVID-19 in overpopulated countries to reduce the impact of the virus. As India is the second-populated country, analyzing the risk factor of COVID-19 helps in categorizing the likely and non-likely people affect by the virus. The work manages the fuzziness through intuitionistic fuzzy sets combine with the VIKOR decision-making process to find the most influencing risk factors of COVID-19. The objective weights of the criteria are evaluated by entropy as it measures the randomness in discrete distribution. Moreover, sensitivity analysis is conducted to verify the robustness of the results of the proposed method.

19.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:1475-1485, 2022.
Article in English | Scopus | ID: covidwho-1874753

ABSTRACT

The article is regarding infectious disease which has been affecting people all around the world since December 2019. Write-up gives a brief introduction of the coronavirus from its emergence to the final solution of its exit. It gives us a glimpse of the biological structure of the virus, precautions to be taken in care to reduce the spread of the disease. The description shows us the consequences of the virus-like the mortality rate and the life expectancy rate. The article also presents a few vaccines development projects as a whole to fight COVID-19. It also describes the efficacy of vaccination and the post-vaccination symptoms. In the end, the write-up presents real-time neural network-based applications to fight COVID-19 and a few machine learning and deep learning techniques to diagnose a COVID-19 infected person. The final part of the article concludes with an artificial neural network and statistical neural network-based approaches to identify the rate of infection risk in a country. © The Electrochemical Society

20.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:721-732, 2022.
Article in English | Scopus | ID: covidwho-1874747

ABSTRACT

The spread of COVID-19 has been statistically analyzed with meteorological factors such as varying ecogeographical regions and climatic conditions i.e., the temperature of India. Although the transmission of the virus can be mainly detected by the humidity, still the temperature imparts a moderate effect on the COVID-19 pandemic. The number of confirmed COVID-19 cases in coastal and non-coastal regions of Kerala have been analyzed statistically with the change in climatic condition and its interaction during the pandemic period i.e., March 2020 to May 2021. The analysis is carried out by bifurcating the number of confirmed COVID-19 cases based on different regions. The data spectrum of the regions under consideration has shown the impact with temperature by ANOVA analysis. The present study can be utilized to frame a strict guideline to restrict the spread of COVID-19 cases. The intellectual awareness developed among the individuals could overcome the pandemic situation. © The Electrochemical Society

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