scholarly journals Multi-grade fuzzy assessment framework for software professionals in work-from-home mode during and post-COVID-19 era

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
M. Suresh ◽  
Kavya Gopakumar
Keyword(s):  
Efficiency Index ◽  
Assessment Framework ◽  
Work From Home ◽  
The World ◽  
Software Professionals ◽  
Unique Framework ◽  
Novel Coronavirus ◽  
Fuzzy Assessment ◽  
The Impact ◽  
Efficiency And Productivity

AbstractThe pandemic novel Coronavirus disease and the resulting lockdowns have contributed to major economic disturbances around the world, forcing organisations to extend the work-from-home (WFH) option to their employees wherever feasible. The current major challenge of this option is maintaining the efficiency and productivity of the employees across the organisations. It is therefore important to understand the impact of this make-shift arrangement of WFH policy and their underlying effects that may affect the efficiency of employees and hence their output levels. This is a distinctive approach to develop a unique framework for efficiency index computation by evaluating the efficiency levels of WFH mode in software organisations using multi-grade fuzzy approach and importance–performance analysis. In turn, this would help to determine the crucial attributes that require improvement to increase the efficiency levels of employees concerned. In this study, a case project has been assessed and it was observed that the efficiency index of WFH accounts to 4.92, which is in between the range of (4.01–6) specified as ‘Efficient’. The framework can be used on a periodic basis to help software organisations to continuously improve their WFH efficiency level.

scholarly journals NOVEL CORONAVIRUS (COVID-19) SHOCK AND REVERBERATIONS IN PAKISTAN

2021 ◽  
Vol 04 (01) ◽  
pp. 43-55
Author(s):  
ATHER MAQSOOD AHMED ◽  
IRFAN ALI
Keyword(s):  
Well Being ◽  
Financial Deepening ◽  
Economic Activities ◽  
Work From Home ◽  
Johns Hopkins University ◽  
The World ◽  
Health Related ◽  
The One ◽  
Novel Coronavirus ◽  
The Impact

Nearly a century after the Spanish flu of 1918, the world is confronting reverberations of the pandemic caused by the novel coronavirus, labeled as COVID-19. As time passes, there has been a serious loss of life and well-being all across the world. According to the latest data issued by the Johns Hopkins University, more than 185 million people have been infected and slightly over 4 million people have already lost their lives. With some respite during the July–October 2020 period, the world economy is once again plunging down as a result of subsequent waves of the pandemic. According to the World Bank (WB) and the International Monetary Fund (IMF), the world GDP has already suffered a loss in the range of US$8–12 trillion due to disruptions in economic activities. Even though Pakistan is among those countries where a relatively mild health-related impact was recorded during the first wave, the situation is fast deteriorating on the health and economic fronts with the severity of the latest wave. The objective of this study is to capture the impact of COVID-19 on the healthcare system and the economy of Pakistan. In particular, an attempt has been made to understand how this new normal situation has encouraged e-commerce (online) commercial and trade activities, on the one hand, and inculcated the concept of work from home among the corporate and public sector employees, on the other. The initial evidence confirms that despite a limited support from the formal banking and financial sector due to insufficient financial deepening, the commerce and trade sector has recorded a substantial growth in its online transactions. Moreover, in view of the contagion hazard, a large number of corporate entities and most of the education sector employees have been allowed to work from home thereby challenging the orthodoxy about shirking and mistrust.

Association and treatment of diabetes in patients affected by Covid-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1198-1201
Author(s):  
Syed Yasir Afaque
Keyword(s):  
Diabetes Mellitus ◽  
Prognostic Value ◽  
Heart Diseases ◽  
The Novel ◽  
The World ◽  
Treatment Of Diabetes ◽  
Coronavirus Infection ◽  
Composite Outcomes ◽  
Novel Coronavirus ◽  
The Impact

In December 2019, a unique coronavirus infection, SARS-CoV-2, was first identified in the province of Wuhan in China. Since then, it spread rapidly all over the world and has been responsible for a large number of morbidity and mortality among humans. According to a latest study, Diabetes mellitus, heart diseases, Hypertension etc. are being considered important risk factors for the development of this infection and is also associated with unfavorable outcomes in these patients. There is little evidence concerning the trail back of these patients possibly because of a small number of participants and people who experienced primary composite outcomes (such as admission in the ICU, usage of machine-driven ventilation or even fatality of these patients). Until now, there are no academic findings that have proven independent prognostic value of diabetes on death in the novel Coronavirus patients. However, there are several conjectures linking Diabetes with the impact as well as progression of COVID-19 in these patients. The aim of this review is to acknowledge about the association amongst Diabetes and the novel Coronavirus and the result of the infection in such patients.

scholarly journals Understanding Burnout in Indian Housewives Amidst COVID-19 Pandemic

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Charvi Pareek ◽  
Nandani Agarwal ◽  
Yash Jain
Keyword(s):  
Mental Health ◽  
Emotional Health ◽  
Family Relations ◽  
Family Members ◽  
Personal Space ◽  
Well Being ◽  
Frontline Workers ◽  
Work From Home ◽  
The World ◽  
The Impact

COVID-19 Pandemic has brought the world underwaters. All over the world, people were affected. The focus during this period was mostly on patients and frontline workers, with some attention also towards working adults. One cohort that has not gained much light during this pandemic is of housewives. Housewives had to manage household chores along with managing family relations – especially in India, where societal expectations lie on the female to provide family members with care and manage the household. Dealing with uncertainty, decreased availability of personal space, increased presence of and interaction with people in the household due to work from home scenarios, shifting to the online world and adapting to the change, economic disturbances, absence of domestic help, managing parental responsibility, increased stress about one’s own and family members’ health and lack of social interaction have contributed to their inconvenience. Existing evidence supports that housewives have been experiencing burnout in their homes. This qualitative study was conducted to see how the added pressure of COVID – 19 and social isolation has affected housewives mentally, leading to burnout. This narrative study includes participants of Indian origin, between the ages of 34 to 50 years. Participants were shortlisted on the basis of their scores obtained on the COVID-19 Burnout Scale, designed by Murat Yıldırım and Fatma Solmaz. The themes generated through this research study are related to understanding the impact of burnout on the mental health of housewives along the areas of physical health, financial well-being, digitization, uncertainty regarding COVID-19, parental responsibilities, social & emotional health, relationship management, and coping mechanisms. The findings of this study suggest that the mental health of housewives has significantly worsened during the COVID-19 pandemic due to constant exposure to certain stressors.

The Impact of COVID-19 on Stock Markets

2022 ◽  
pp. 250-262
Author(s):  
Aslı Aybars ◽  
Mehtap Öner
Keyword(s):  
Literature Review ◽  
Financial Markets ◽  
Stock Returns ◽  
Empirical Studies ◽  
The Novel ◽  
The World ◽  
Fast Pace ◽  
Novel Coronavirus ◽  
Almost All ◽  
The Impact

The novel coronavirus, COVID-19, which emerged at the end of 2019 and spread to the world at a very fast pace, resulted in a pandemic affecting the finance industry besides many other industries though at varying extents. Financial markets, which can be regarded as cornerstones of each and every country's economic success, have been adversely influenced due to the fear and uncertainty arising with the emergence of the novel coronavirus at different degrees. This chapter provides a summary of a literature review based on the impact of this pandemic on stock returns and volatility in the stock exchanges of different countries and regions of the world. What has been captured as a result of this literature review is that almost all of the financial markets around the world have been influenced due to the virus. Further, industry-wise empirical studies demonstrate that not all industries are affected at the same level or even in the same direction.

scholarly journals Understanding the Anticontagion Process and Reopening of China during COVID-19 via Coevolution Network of Epidemic and Awareness

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lingbo Li ◽  
Ying Fan ◽  
An Zeng ◽  
Zengru Di
Keyword(s):  
Large Scale ◽  
The Novel ◽  
Large Scale Data ◽  
Effective Interventions ◽  
Human Movements ◽  
Simulation Based ◽  
The World ◽  
Novel Coronavirus ◽  
Prevention Methods ◽  
The Impact

The novel coronavirus (COVID-19) pandemic is intensifying all over the world, but some countries, including China, have developed extensive and successful experience in controlling this pandemic. In this context, some questions arise naturally: What can countries caught up in the epidemic learn from China’s experience? In regions where the outbreak is under control, what would lead to a resurgence of the epidemic? To address these issues, we investigate China’s experience in anticontagion interventions and reopening process, focusing on the coevolution of epidemic and awareness during COVID-19 outbreak. Through an empirical analysis based on large-scale data and simulation based on a metapopulation and multilayer network model, we ascertain the impact of human movements and awareness diffusion on the epidemic, elucidate the inherent patterns and effective interventions of different epidemic prevention methods, and highlight the crunch time of each measure. The results are also employed to analyze COVID-19 evolution in other countries so as to find unified rules in complex situations around the world and provide advice on anticontagion and reopening policies. Our findings explain some key mechanisms of epidemic prevention and may help the epidemic analysis and decision-making in various countries suffering from COVID-19.

scholarly journals A Review of Contact Tracing Approaches for Controlling COVID-19 Pandemic

2021 ◽  
pp. 31-38
Author(s):  
Md. Tanvir Rahman ◽  
Taslima Ferdaus Shuva ◽  
Risala Tasin Khan ◽  
Mostofa Kamal Nasir
Keyword(s):  
System Architecture ◽  
Data Privacy ◽  
Contact Tracing ◽  
Research Directions ◽  
Attribute Data ◽  
Work From Home ◽  
The World ◽  
History Of ◽  
Novel Coronavirus ◽  
Close Contacts

The year 2020 will always be in the history of mankind due to the deadly outbreak of COVID-19. Many people are already infected around the world due to the spreading of this novel coronavirus. The virus mainly replicates through close contacts, so there are no other alternatives than to keep social distance, use proper safety gear, and maintain self-quarantine. As a result, the growth of the virus has changed the lifestyle of every individual to a great extent. It is also compelling the Governments to dictate strict lock-downs of the highly affected areas, impose work-from-home approaches where applicable, enforce strict social distancing standards, and so on. Some of the countries are also using smartphone-based applications for contact tracing to track the possibly infected individuals. However, there is a lot of discussion around the world about these contact tracing applications and also about their architecture, attribute, data privacy, and so on. In this paper, we have provided a comprehensive review of these contact tracing approaches in terms of their system architecture, key attributes, and data privacy. We have also outlined a list of potential research directions that can improvise the tracing performance while maintaining the privacy of the user to a great extent.

scholarly journals Brief Report of Guidelines and Protocols for the Management of COVID-19

2020 ◽  
Vol 3 (2) ◽  
pp. 124-133
Author(s):  
Fabricia Oliveira Oliveira ◽  
Larissa Moraes dos Santos Fonseca ◽  
Roberto Badaró ◽  
Bruna Aparecida Souza Machado
Keyword(s):  
Management Strategies ◽  
Virus Transmission ◽  
The Novel ◽  
Data Flows ◽  
The World ◽  
Control And Prevention ◽  
Novel Coronavirus ◽  
Guidelines And Recommendations ◽  
The Impact ◽  
Coordinate Data

In less than a year, the novel coronavirus rapidly changed the world scenario. To dealing with the fast spread of the disease, health associations coordinate data flows and issue guidelines to better mitigate the impact of the threat. Also, scientific groups around the world are working to ensure that all information about the mechanisms of the virus, transmission, and disease clinics is updated as the disease progresses. The objective of this study was to present the guidelines and recommendations for preventing, management strategies, clarifications about pandemics disinformation, and diagnosing COVID-19 infection in human specimens adopted from the main health centers and institutions in the world, such as WHO and Centers for Disease Control and Prevention (CDC). It is important to highlight that the rapid and effective enforcement of existing international and national action plans, as well as parallel review and improvisation, is facilitating the affected countries to contain transmission and possibly delay the peak of outbreak and mortality.

scholarly journals The Impact of Postponing 2020 Tokyo Olympics on The Happiness of O-MO-TE-NA-SHI Workers in Tourism: A Consequence of COVID-19

2020 ◽  
Author(s):  
Eiji Yamamura ◽  
Yoshiro Tsutsui
Keyword(s):  
Panel Data ◽  
The Novel ◽  
Individual Level ◽  
Sporting Event ◽  
Japanese Workers ◽  
The World ◽  
Novel Coronavirus ◽  
The Impact ◽  
The Postponement ◽  
Happiness Level

The 2020 Tokyo Olympics has been postponed due to the novel coronavirus (COVID-19) pandemic. The implications for industries related to the Olympics—tourism, hotels and restaurants, and others—are expected to be affected by reduced demand. Japanese workers in these industries were prepared to offer their hospitality to visitors from around the world. They would be satisfied from not only an increase in income but also in offering visitors a taste of Tokyo’s great hospitality if the Olympics had been held in 2020. However, postponement of the sporting event is likely to have a significant impact on their happiness level. We independently collected individual-level panel data from March to April 2020. Based on this, we found that the happiness level of workers in the tourism and restaurant sectors declined drastically after the announcement of the postponement. Only two weeks later, their happiness level did not alter from the pre-announcement level. This tendency was strongly observed in Tokyo and the surrounding prefectures, but not in other prefectures. However, workers engaged in the tourism and restaurant sectors did not predict a decrease in their income even after the postponement. Combined, these findings indicate that loss of extending hospitality, rather than reduction in income, temporarily reduces the happiness level of workers.

scholarly journals Did COVID-19 Lockdown Brew “Amphan” into a Super Cyclone?

2020 ◽  
Author(s):  
Velu Vinoj ◽  
Debadatta Swain
Keyword(s):  
West Bengal ◽  
The Novel ◽  
Wind Speeds ◽  
The World ◽  
History Of ◽  
The Indian Ocean ◽  
Super Cyclone ◽  
Novel Coronavirus ◽  
The Impact ◽  
Joint Typhoon Warning Center

The world witnessed one of the largest lockdowns in the history of mankind ever, spread over months in an attempt to contain the contact spreading of the novel coronavirus induced COVID-19. As billions around the world stood witness to the staggered lockdown measures, a storm brewed up in the urns of the rather hot Bay of Bengal (BoB) in the Indian Ocean realm. When Thailand proposed the name “Amphan” (pronounced as “Um-pun” meaning ‘the sky’), way back in 2004, little did they realize that it was the christening of the 1st super cyclone (Category-5 hurricane) of the century in this region and the strongest on the globe this year. At the peak, Amphan clocked wind speeds of 168 mph (Joint Typhoon Warning Center) with the pressure drop to 925 h.Pa. What started as a depression in the southeast BoB at 00 UTC on 16th May 2020 developed into a Super Cyclone in less than 48 hours and finally made landfall in the evening hours of 20th May 2020 through the Sundarbans between West Bengal and Bangladesh. Did the impact of the COVID-19 induced lockdown drive an otherwise typical pre-monsoon tropical depression into a super cyclone?

scholarly journals Data Visualization and Analyzation of COVID-19

2020 ◽  
pp. 42-52
Author(s):  
Fahima Khanam ◽  
Itisha Nowrin ◽  
M. Rubaiyat Hossain Mondal
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Data Visualization ◽  
Data Analytics ◽  
Relative Number ◽  
Swine Flu ◽  
The World ◽  
The Difference ◽  
Novel Coronavirus ◽  
The Impact ◽  
Death Cases

Since December 2019 the world is experiencing a deadly disease caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease associated with this virus is known as COVID-19. This paper focuses on COVID-19 based on freely available datasets including the ones in Kaggle repository. Data analytics is provided on a number of aspects of COVID-19 including the symptoms of this disease, the difference of COVID-19 with other diseases caused by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and swine flu. The impact of temperature on the spread of COVID-19 is also discussed based on the datasets. Moreover, data visualization is provided on the comparison of infections in males/females which shows that males are more prone to this disease and the older people are more at risk. Based on the data, the pattern in the increase of confirmed cases is found to be an exponential curve in nature. Finally, the relative number of confirmed, recovered and death cases in different countries are shown with data visualization.

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