ABSTRACT
The corona virus (COVID-19) pandemic has impacted industries across the globe. Lockdown was imposed to curb the spread of the deadly virus. This resulted in closure of the factories and manufacturing units. Few sectors switched to work from home (WFH) for the first time. The present study aims to understand and analyze the way in which Information Technology (IT) sector communicated on Twitter during the pandemic. The top ten IT companies in India were selected on the basis of net sales. Qualitative data analysis was employed to extract tweets, understand and analyze them. Tweets were extracted from the official Twitter handles of these top ten IT companies using N-Capture extension tool of NVivo 12 software from April 1, 2020 to April 30, 2021. To get insights out of collected data, Word Cloud, TreeMap and Sentiment Analysis of tweets were carried out using NVivo 12 software. The research found that IT companies focussed on digital transformation, business development, customer satisfaction and enriching customer experience, new product development for healthcare and insurance and organizational resilience. They also focussed on effective communication through Twitter in times of crisis. Most of the companies tweeted moderately positive. Very small numbers of tweets were found to be very negative.
ABSTRACT
The COVID-19 outbreak has distorted employee and manager's attitudes toward work, impacting businesses, industries, and organizations worldwide. Organizations have begun implementing well-managed work-from-home, teleworking, flexible working, or digital working strategies to respond to these trends effectively. The study's main purpose is to investigate the importance of organizational and supervisory support in promoting employee psychological well-being by providing well-proportioned work-from-home experience to IT employees. Using an empirical research approach, the study collected data from 282 IT professionals forced to work from home fully and partially throughout India's first three waves of covid-19. The responses were analyzed using descriptive statistics and regression analysis using SPSS and AMOS. The study's findings revealed that supervisory/managers support demonstrated a significant positive association with psychological well-being compared with organizational support practices. However, employees perceived that well-balanced work-from-home experiences require major support from organizations than managers. The study identified that both organizational and supervisory support plays an important role in establishing positive work-from-home experience and the psychological well-being of IT professionals. In response, organizations and supervisors/ managers collective approach is needed in establishing flexible work settings. Flexible work settings have been researched from the perspective of an information technology professional. However, there is a dearth of research on the influence of forced work from home on the psychological well-being of IT employees. Understanding how organizational and supervisory support plays an important role in establishing resilience between work-from-home practices and psychological well-being during covid and beyond would be helpful.
ABSTRACT
Objective: This study aimed to assess the exclusive breastfeeding and contraceptive methods among women delivering within 1-week of a positive test for severe acute respiratory syndrome coronavirus- 2 (SARS-CoV-2) infection. Materials and methods: In this study, 106 women with SARS-CoV-2 infection who were either asymptomatic or had mild disease were included. They were admitted for maternity care at a tertiary center between May to September 2020. The data was collected during their hospital stay and subsequently by telephonic or in-person interviews at 4-6 weeks and 8-10 weeks postpartum for contraceptive use, breastfeeding and use of facemask and hand-hygiene. Results: Sixty-three (59.4%) women had vaginal delivery and 43 (40.6%) required cesarean-section. Only one of the 98 newborns who were tested for SARS-CoV-2 turned out positive. Initiation of breastfeeding was delayed by an average of three days due to preparing the Reverse transcription polymerase chain reaction (RT-PCR) report. Exclusive breastfeeding was practiced by 69% and mixed feeding by 26%.Pre breastfeeding hand hygiene and facemask use declined after discharge (100% to 53.75% at 8-10 weeks postpartum). Out of 106, 86 (81%) women used no contraception at 8-10 weeks postpartum, continued with post-placental-IUD in 8/106 (7.5%) and tubal-sterilization during cesarean in 8/106 (7.5%) cases. Only 4/106 (4%) adopted alternative methods like barrier contraception. Conclusion: The practice of exclusive breastfeeding remains unchanged among women who suffered from SARS-CoV-2 infection in the peripartum period while uptake of postpartum contraception was minimal except for the women who opted for long term contraceptive methods in the immediate postpartum period.
ABSTRACT
COVID (Corona Virus) 2019 proved to be a pandemic worldwide, with more than 30 lakhs of life's in danger and more than 2 lakh people dead as of 01 May 2020. The disease is spreading across the world in various phases, with assumptions of having an impact based on the weather conditions, where the true reason is not yet confirmed. However, several precautionary measures such as maintaining social distancing, covering mouth and hands using masks and gloves, avoiding huge public gatherings to attend conferences, meetings, worship places, etc proved to put a pause on the spread of this air-borne contagious disease. Though there is an impact on the overall economy world-wide, lockdown is strictly implemented in countries like India and also at various other places to control the spread and save several lives. There is a necessity to track the spread to find out the rate at which the virus is spreading and accordingly taking measures to control the same. This work presents an analysis of the growth rate and death rate of the COVID pandemic in developing countries like India using the Auto regression-based Moving Average method. The results presented in this work show the future predictions analyzed via the proposed model and drives a path to take preventive measures accordingly and curb the COVID spread.