Balance Your Work-Life: Personal Interactive Web-Interface

The term work-life balance can be described as a path to manage stresses and burnouts in the workplace. In this Covid-19 pandemic, work-from-home practice includes both personal and professional spaces as employees, more often, stay digitally connected. As a result, personal life hardly can be separated, which will potentially create imbalanced life, which creates problems regarding physical and mental health of the employees. In such unprecedented situations, we are required to maintain and/or integrate balanced work-life. A balanced work-life gives employees a stress-free environment to work and improves employees' mental and physical health conditions and relationships. In this study, we focus on maintaining a proper work-life balance through a monitoring tool, the 'Wheel of Life.' Considering the drastic changes in work culture (due to Covid-19, for example), we introduce an interactive interface based on 'Wheel of life' concept. Our interface helps tune various important factors, such as business, creative, social, love and life purpose, and provides multiple recommendations. The purpose of the study is to assist web users to balance their work-life, improve psychological well-being and quality of life in this unforeseen situation.

Subnational governments and COVID management

In the backdrop of COVID, this paper is the first to investigate the role of different classes of indicators at the subnational (state) levels in managing the crisis, which would augment the role played by the central governments. Three distinct time periods are considered between August and November 2020. We sample three amongst the worst affected countries viz, India, Mexico and USA, belonging to three different stages of development. First, a meta frontier analysis with state level data is attempted to estimate the efficiency of COVID management using DEA. Country level efficiency scores increase over time indicating a positive role of experience in crisis management. The states in USA performed consistently better compared to states in other countries. An exploratory median analysis in the second stage shows that finance, development and governance indicators at the subnational levels prove to impact the performance in COVID management in varying degrees. © 2023

Comprehensive In silico Investigation Validates Two Flavonoid Compounds of Derris robusta (Roxb. ex DC.) Benth. to Supplant Remdesivir as Natural Therapeutic Remedy Against a Range of Coronaviruses

Diversified Coronaviruses like MERS-CoV, SARS-CoV-1, SARS-CoV-2, etc., have badly affected human life by causing various respiratory syndromes. Natural bioactive products like flavonoids are well-known for their anti-viral property. Derris robusta (Roxb. ex DC.) Benth. is a reservoir of flavonoids, which encouraged the in silico study of the signature flavonoid compounds in it towards investigating the possible inhibitory effect of those flavonoid compounds against the viral replication of MERS-CoV, SARS-CoV-1, and SARS-CoV-2. Therefore, investigating the treatment methodology for alleviating these types of diseases is the ultimate priority for public health. In our in silico study, Flavonoids like Isosinensetin and Retusin inhibited the replication of all three viruses with greater binding affinity compared to the control drug Remdesivir in multiple instances. Physicochemical characterization of the compounds by following Lipinski's rule of fi ve and the ADMET study have helped recognize these compounds as a probable natural therapeutic drug against Coronaviruses. The present study exhibits the potential of alternative drug molecules as anti-viral compounds against these three types of Coronaviruses. Further in vitro and in vivo evaluation followed by clinical trials for developing and successfully implementing these two compounds as an effective inhibitory agents against Coronaviruses can be initiated. © 2022 by the authors.

Delayed IBD diagnosis leads to worse outcomes over years, with multiple implications on service delivery

Background: Delays in diagnosis can be patient and health-system related. Such delays have been reported to increase overall complications in Inflammatory Bowel Diseases (IBD). The aim of our study was to report on the impact of delays on IBD-related adverse outcomes (AOs), as hospitals currently face challenges with long waiting lists in the post-COVID-19 era. Method(s): New patients referred for suspected IBD to a single tertiary care centre between Jan 2013 to Dec 2017 were identified using EMR. A cut-off time was set for each delay-type based on best average hospital waiting times. Reasons for delays until start of treatment and data on pre-defined AOs (steroid & other rescue therapies, hospitalisations, surgery) were recorded for each patient until end of June 2021. Data was analysed using multiple Pearson correlations and Cox proportional Hazard model to determine if there was a difference in survival without AOs between patients with and without delay. Result(s): 105 patients were identified using strict criteria (M=58;median age=32y) with a median follow-up of 55 months. The most frequent presenting complaints were abdominal pain (44, 41.9%), loose stools (40, 38.1%), bloody diarrhoea (37, 35.2%) and bleeding perrectum (33, 31.4%). 65, 27 and 13 patients had a final diagnosis of Ulcerative colitis, Crohn's disease and Unclassified colitis respectively, and were analysed jointly. The longest delay-types noted: Patients seeking medical attention (median= 4 months;range 1 to 84 months);arranging gastroenterology clinic review after GP referral (median=5 weeks;1 to 30 weeks);and waiting for index endoscopy (median=3 weeks;1 to 36 weeks). Patient stratification based on delay-type, using specific cut-off times for each showed a statistically significant difference in survival without AOs for all (when comparing delay vs no delay). - delay in seeking medical attention (cut-off=1m;p=0.004) (Fig 1A) - delay in GP referral to specialty review (cut-off=1w;p=0.048) - delay in index endoscopy (cut-off=4w;p=0.01) (Fig 1B) - delay in starting treatment (cut-off=4w;p=0.03) Conclusion(s): Several bottlenecks of delays increase AOs in IBD over the follow-up period. A delay as short as a week, between GP referral to specialty review, is significant in determining AOs, relevant for specialist IBD centres particularly in the post-Covid period. Endoscopy units should prioritise suspected IBD patients to reduce AOs, which is likely to have implications on service delivery and planning. Long delays observed in patients seeking medical attention highlights the need for better patient education in the community.

A Bibliometric and Co-Occurrence Analysis of Work-Life Balance: Related Literature Published Pre- and During COVID-19 Pandemic

Work-life balance helps to maintain an attractive organizational culture and remove work-life conflicts and show the path to employees of how to be more efficient in different work roles. This balanced practice is giving a care and feeling of protection to the employees. It motivates better performance that contributes to employee engagement indices. The main purpose of this study is to report work-life balance pre- and during the COVID-19 pandemic by bibliometric analysis. This study analyzed 4,030 "work-life balance” studies published between January 1, 2010 and December 31, 2019, from the pre-pandemic era, and 1,143 studies published during the pandemic (between January 1, 2020-March 24, 2021). The data were extracted from the Scopus database using keywords "work-life balance” and keywords in titles (items) analyzed using VOSviewer software. Co-occurrence connection between keywords in titles and density visualization based on the total link strength clearly shows that COVID-19 significantly impacted work-life balance and related research. © 2023 IGI Global. All rights reserved.

A Framework for Infectious Disease Monitoring With Automated Contact Tracing-A Case Study of COVID-19

Throughout human history, deadly infectious diseases emerged occasionally. Even with the present-day advanced healthcare systems, the COVID-19 has caused more than six million deaths worldwide (as of 27 July 2022). Currently, researchers are working to develop tools for better and effective management of the pandemic. "Contact tracing " is one such tool to monitor and control the spread of the disease. However, manual contact tracing is labor-intensive and time-consuming. Therefore, manually tracking all potentially infected individuals is a great challenge, especially for an infectious disease like COVID-19. To date, many digital contact tracing applications were developed and used globally to restrain the spread of COVID-19. In this work, we perform a detailed review of the current digital contact tracing technologies. We mention some of their key limitations and propose a fully integrated system for contact tracing of infectious diseases using COVID-19 as a case study. Our system has four main modules-1) case maps;2) exposure detection;3) screening;and 4) health indicators that take multiple inputs like users' self-reported information, measurement of physiological parameters, and information of the confirmed cases from the public health, and keeps a record of contact histories using Bluetooth technology. The system can potentially evaluate the users' risk of getting infected and generate notifications to alert them about the exposure events, risk of infection, or abnormal health indicators. The system further integrates the Web-based information on confirmed COVID-19 cases and screening tools, which potentially increases the adoption rate of the system.

Balance Your Work-Life: Personal Interactive Web-Interface

The term work-life balance can be described as a path to manage stresses and burnouts in the workplace. In this Covid-19 pandemic, work-from-home practice includes both personal and professional spaces as employees, more often, stay digitally connected. As a result, personal life hardly can be separated, which will potentially create imbalanced life, which creates problems regarding physical and mental health of the employees. In such unprecedented situations, we are required to maintain and/or integrate balanced work-life. A balanced work-life gives employees a stress-free environment to work and improves employees' mental and physical health conditions and relationships. In this study, we focus on maintaining a proper work-life balance through a monitoring tool, the ‘Wheel of Life.' Considering the drastic changes in work culture (due to Covid-19, for example), we introduce an interactive interface based on ‘Wheel of life' concept. Our interface helps tune various important factors, such as business, creative, social, love and life purpose, and provides multiple recommendations. The purpose of the study is to assist web users to balance their work-life, improve psychological well-being and quality of life in this unforeseen situation. © 2022, Universidad Internacional de la Rioja. All rights reserved.

A Framework for Infectious Disease Monitoring with Automated Contact Tracing - A Case Study of COVID-19

Throughout human history, deadly infectious diseases emerged occasionally. Even with the present-day advanced healthcare systems, the COVID-19 has caused more than six million deaths worldwide (as of 27 July 2022). Currently, researchers are working to develop tools for better and effective management of the pandemic. ’Contact tracing’is one such tool to monitor and control the spread of the disease. However, manual contact tracing is labor-intensive and time-consuming. Therefore, manually tracking all potentially infected individuals is a great challenge, especially for an infectious disease like COIVD-19. To date, many digital contact tracing applications were developed and used globally to restrain the spread of COVID-19. In this work, we perform a detailed review of the current digital contact tracing technologies. We mention some of their key limitations and propose a fully integrated system for contact tracing of infectious diseases using COVID-19 as a case study. Our system has four main modules -Case Maps, Exposure Detection, Screening, and Health Indicators that takes multiple inputs like users’self-reported information, measurement of physiological parameters, and information of the confirmed cases from the public health, and keeps a record of contact histories using Bluetooth technology. The system can potentially evaluate the users’risk of getting infected and generate notifications to alert them about the exposure events, risk of infection, or abnormal health indicators. The system further integrates the web-based information on confirmed Covid-19 cases and screening tools, which potentially increases the adoption rate of the system. IEEE

DELAYED IBD DIAGNOSIS LEADS TO WORSE OUTCOMES OVER YEARS, WITH MULTIPLE IMPLICATIONS ON SERVICE DELIVERY

Background Delays in diagnosis could be patient-related and health-system related. It has been reported that such delays increase overall complications in Inflammatory Bowel Diseases (IBD). The aim of our study was to report on the impact of delays on IBD-related adverse outcomes (AOs), as most hospitals currently face challenges with long waiting lists in the post-Covid-19 era. Methods New patients referred for suspected IBD to a single tertiary care centre between Jan 2013 to Dec 2017 were identified using EMR. For purposes of the study, a cut-off time was set by investigators for each delay-type based on best average hospital waiting times. The reasons for delays in patient journey until start of treatment and data on predefined AOs (steroid & other rescue therapies, hospitalisations, surgery) were recorded for each patient until end of June 2021. The data were analysed using multiple Pearson correlations and Cox proportional Hazard model to determine whether there is a difference in survival without AOs between patients with and without a delay. Results Total of 105 patients were identified using stringent criteria (M=58 ;median age=32y) with a long median followup of 55 months. The most frequent presenting complaints were abdominal pain (44, 41,9%), loose stools (40, 38,1%), bloody diarrhoea (37, 35,2%) and bleeding per-rectum (33, 31,4%) and only 16% declared a family history. 65, 27 and 13 patients had final diagnosis of Ulcerative colitis, Crohn's disease and Unclassified colitis respectively, and analysed collectively. In our cohort, the longest delay-types noted were - patients seeking medical attention (median= 4 months;range 1 to 84 months), arranging gastroenterology clinic review after referral from primary care (median=5 weeks;range 1 to 30 weeks), and waiting for index endoscopy (median=3 weeks;1 to 36 weeks). Patient stratification based on delay-type, using specific cutoff times for each showed a statistically significant difference in survival without AOs for all (when comparing delay v/s no delay). 1. delay in seeking medical attention (cut-off=1m;p=0.004) (figure 1A) . delay in GP referral specialty review (cut-off=1w;p=0.048) . delay in index endoscopy (cut-off= 4w;p=0.01) (Fig 1B) . delay in starting treatment (cut-off= 4w;p=0.03) Conclusion . Several bottlenecks of delays increase AOs in IBD over the follow-up period. . A delay as short as a week, between GP referral specialty review, is significant in determining AOs;this has implications on specialist IBD centres particularly in the post-Covid period. . Endoscopy units should prioritise suspected IBD patients to reduce AOs, which is likely to have implications on service delivery and planning. . Long delays observed in patients seeking medical attention highlights the need for both primary and secondary care to undertake patient education in the community.

An Extended LBWA Framework in Picture Fuzzy Environment Using Actual Score Measures Application in Social Enterprise Systems

Level-based weight assessment (LBWA) model is a recently introduced algorithm for determining criteria weights for multi-criteria group decision making. In this paper, the authors aim to extend the basic framework of LBWA in the picture fuzzy (PF) environment using actual score (AS) measures of the picture fuzzy numbers (PFN). They apply this extended framework in addressing a real-life problem pertaining to social entrepreneurship or social entrepreneurs (SE) in the context of COVID-19. They endeavor to identify the critical challenging factors of SE in the new normal. They list the challenges as revealed through literature review and take the opinion of a group of SEs using PF linguistic scale. They then apply the proposed framework, actual score-based picture fuzzy LBWA. They notice that ability to withstand disruption risk and show resilience and fund availability and creation of a supporting business ecosystems are the major challenges that SEs face in the new normal. They carry out validity checking and sensitivity analysis, which show reasonable consistency and stability in the result.

Data Analytics for Quality-of-Life Monitoring and Control in the Era of Covid-19 Pandemic

Quality-of-life (QoL) is a multidimensional and complex issue that helps to develop an improved human civilization. In the era of COVID-19, a heightened negative impact has been observed in human lifestyle-related behaviors. A detailed analysis is required for the understanding of the mixed effect on human QoL in the ongoing pandemic outbreak. This study aims to establish an interrelationship between life evaluation factors and their effects on human QoL. Additionally, the role of data analytics has been discussed for monitoring and control of human QoL with the association of AI and statistical tools. However, AI-based analysis has provided a way to understand the mental state during this pandemic. In a similar fashion, the statistical-based analysis has helped to identify the most effective parameters that can improve overall human QoL. © 2021 ACM.

SUCCESS STORY OF CONTROLLING COVID-19 IN EAST ASIA: LESSONS FOR SOUTH ASIA

The novel coronavirus is an issue of life and death. The main purpose of the study is to know the East Asian success story of controlling Covid-19 and identify which strategies could be a lesson for South Asia and to examine the influence of good governance on controlling COVID-19. Total daily cases of COVID-19 are collected from March 10 to June 15 for East Asian and March 4 to June 15 for South Asian countries. ARIMA forecasting, ADF test, stability test, and diagnostic tests are applied. The minimum value of AIC and BIC shows the appropriate model is ARIMA (0, 1, 1) for both regions. In the East and South Asian model, the coefficients of the constant term are -0.759451 and 198.0155, and coefficients of MA (1) are -0.715686 and -0.339701 respectively for both regions. It's significant at a 1% significance level and support our hypotheses that the total daily cases of COVID-19 decreasing into East Asia but increasing into South Asia and prove that the South Asia region has faced a lot of difficulties to tackle COVID-19 as most of the countries have not enough government capacity, weak institutions, limited resources, narrow government reaches to the vulnerable people and corruption compare to East Asian region and no actual strategies are yet noticeable from the governments of South Asia as a result transmission increases day by day. That is why;we think that South Asian countries could take lessons from East Asian countries as these countries are more successful to control COVID-19.

Impact of Corona Virus on Knowledge Service Centers in West Bengal

Purpose: The significance of this article is to know about the existing situations of the different libraries and information centers in West Bengal and to understand the changing initiatives taken by those libraries to serve the purpose of the users and to motivate them to use library resources and for that provide remote access to Electronic Resources available through their library and information centers at anywhere any time. Methodology: Questionnaires were prepared online by using Google Form and were distributed among different library professionals throughout West Bengal by using e-mails and different social networking sites and snowball sampling method is used for data collection. After returning the filled questionnaires, the data were analyzed by using graphical presentation method. Findings: The crisis situation during COVID-19 period leads to the development of more and more virtual libraries. The libraries are serving online information services as per the user’s requirements. The library professionals have taken different initiatives to solve the requirements of the users of the libraries. Among them most recent and very useful is organizing the online lectures through online meeting platforms for the users. Value: The study has drawn the picture of the virtualization of different libraries. Library is the gateway of various learning resources, but in the hard condition of lockdown period it is not possible for the users to physically visit in the library and access library documents, the librarians come forward and do all the necessary activities to serve the users require services. © 2021, Library Philosophy and Practice. All Rights Reserved.

Design and development of IoT based smart security system in COVID19 situation

In COVID19 pandemic situation social distancing and proper thermal screening is very much essential for restrict the spreading of virus. In security purpose human beings directly contacts with several known and unknown persons that is tremendously thoughtful matter. That problem will be overcome by a prototype device which can detect the temperature of the body and the collected data will be uploaded to the server as well as to the predefined consumer mobile number thorough IoT system. This system very much fruitful for office, factory, school even multi stored building security system. Instantly all related data regarding body temperature, image capturing, coming from area, area details scenario during any pandemic situation will be detect to the consumer mobile or computer. Using this it can keep a record to the number of visitors along with their temperature of the body. And in this current situation using this we can avoid human touch and the chances of getting affected will be less and a huge number of people can save their life. Solar powered IoT based smart security system will be automatically notified to the consumer when visitor come to meet in their premises. It will also give an alert if the visitor coming from containment zone or highly affected area. © 2021 Institute of Physics Publishing. All rights reserved.

COVID-19 monitoring application for better human life

COVID-19 –a panic –a threat to human has changed the total world’s normal flow of life. In this disease patient having mild cough and cold but if not identified at early stage and properly treated the patient would be died. So early state diagnosis is very crucial in this virus infection. In this paper a monitoring system model has been proposed with automated instant messaging, alarm generating and call facility. As we know COVID-19 patient has certain kind of symptoms like- high temperature, cold cough, loss of sense of smell, low oxygen saturation level along with that presence of diabetes, renal infection, pneumonia, hypertension, cardiovascular disease and obesity will influence the risk more. The application will measure oxygen saturation level, blood pressure and taking input for symptoms related questions and identifying the risk will either provide suggestions to patients and if oxygen saturation level is less then will send automated message to local COVID control units, police station and hospitals for arrangement of beds so the process for migrating the patient would be easy. © 2021 Institute of Physics Publishing. All rights reserved.

An intelligent system for prediction of COVID-19 case using machine learning framework-logistic regression

World is now at a critical condition. Covid-19 is the disease caused by corona virus newly identified [1], the pandemic affecting the human being a lot. As on date the total active cases in India are 3.23 Million and death cases are 59,449. Many scientists and medical practitioners are working hard to fight against this, in search of proper medicine and vaccine. Research is also going on in the field of machine learning and AI to predict the spread of disease and also in identification of the presence of the virus in human body, which will help the field of medical science. In this paper we have proposed a method to identify whether a patient has risk of COVID-19 using Logistic Regression model, considering multiple symptoms. © 2021 Institute of Physics Publishing. All rights reserved.

COVID-19 Impacts Construction Industry: Now, then and Future

The construction industry is one of the most important industries for national development in the world. It is an unorganized sector and most of the time human-driven;a large number of people are working in this sector. In the pandemic of COVID-19 most of the construction sites are being halted due to fear about the infection of Coronavirus. The projects are already delayed in relation to completion and handover. The developers are not facing the cost escalation risk only, also afraid of the spreading of COVID-19 in projects. The model of Work Health and Safety (WHS) laws says that it is the duty of the employers to take care of the health and safety of their workers in the workplace. In the building and construction industry where workers work closely together, there is a high risk of exposure to COVID-19. During this epidemic situation, all the employers and constructors should implement the control measures to minimize the spread of COVID-19 and provide a safe work environment to the workers. In this study, we are highlighting the impact of novel Coronavirus in the construction industry associated with risk assessment and how to implement the safety measures for the workers during and post pandemic. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.