The growing cost of tuning and managing computer systems is leading to out-sourcing of commercial services to hosting centers. These centers provision thousands of dense servers within a relatively small real-estate in order to host the applications/services of different customers who may have been assured by a service-level agreement (SLA). Power consumption of these servers is becoming a serious concern in the design and operation of the hosting centers. The effects of high power consumption manifest not only in the costs spent in designing effective cooling systems to ward off the generated heat, but in the cost of electricity consumption itself. It is crucial to deploy power management strategies in these hosting centers to lower these costs towards enhancing profitability. At the same time, techniques for power management that include shutting down these servers and/or modulating their operational speed, can impact the ability of the hosting center to meet SLAs. In addition, repeated on-off cycles can increase the wear-and-tear of server components, incurring costs for their procurement and replacement. This paper presents a formalism to this problem, and proposes three new online solution strategies based on steady state queuing analysis, feedback control theory, and a hybrid mechanism borrowing ideas from these two. Using real web server traces, we show that these solutions are more adaptive to workload behavior when performing server provisioning and speed control than earlier heuristics towards minimizing operational costs while meeting the SLAs.

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COVID-19 forced lockdown in India, leading to the loss of job, crisis of food, and other financial catastrophes that led to the exodus migration of internal migrant workers, operating in the private sector, back to their homes. Unavailability of transport facilities led to an inflicted need to walk back to homes barefooted without lack of any other crucial resources on the way. The woeful state of internal migrant workers walking back, with all their stuff on their back, holding their children, was trending on social media worldwide. Their problem continued even after reaching home, including misbehavior of villagers, indifferent mannerism of family members toward them, inability to fulfill family responsibility, and financial crisis, which led to stress, fear, and trauma for these internal migrant workers. The present paper aimed to assess the idiosyncratic stressors of internal migrant workers throughout the pandemic era and their responses toward those problems, which helped them cope with it. In-depth semistructured telephonic interviews were conducted with 25 internal migrant workers who were working in different cities in India before lockdown. The analyses revealed that multiple stressors include financial crisis, unavailability of food, inability to continue education, inability to pay house rent, lack of support from neighbors and family, and other psychological stressors that affected them. However, they also tried multiple strategies to deal with the problems, including a cognitive appraisal of the problem and making oneself psychologically competent to deal with the situation. Social support of family and friends played a vital role in enhancing hardiness and increasing the level of happiness at scarce times. At the same time, some of them could not deal with stressors and opted for psychiatric help to manage the physical symptoms of stress.

Background Social stigma is associated with Coronavirus Disease-2019 (COVID-19) particularly against people who have contracted the disease or have come in contact with it. There is paucity of studies regarding the prevalence of social stigma against healthcare workers (HCWs) in COVID-19 hospitals in India. The objective of this study was to measure social stigma faced by frontline HCWs of Department of Anaesthesia and Critical Care in a COVID-19 hospital and to assess the relationship between sociodemographic characteristics and social stigma. Patients and methods A cross-sectional study using a questionnaire (sociodemographic characteristics along with modified Berger HIV Stigma Scale) was conducted from October 10, 2020 to October 30, 2020, in the Department of Anaesthesia and Critical Care. The survey was distributed among frontline HCWs using Google Forms as well as Bilingual Physical Form. Total stigma and subgroups of stigma scale were measured for different sociodemographic parameters and compared. Data were presented as mean ± standard deviation. p -value <0.05 was taken as significant. Results Out of 120 frontline HCWs participated in the study, 68 (56.6%) reported severe level of COVID-19-related stigma. The mean score of COVID-19-related stigma was 41 + 7.69. Mean scores for subgroups of stigma scale, i.e., personalized stigma, disclosure concerns, negative self-image, and concerns with public attitude, were 15.60 + 4.01, 6.68 + 3.21, 5.46 + 3.22, and 13.25 + 2.44, respectively. In the univariate analysis, the overall COVID-19-related stigma scores were associated with age >30 years, male gender, lower designation (technicians and nursing orderly), lesser education, and married HCWs. In logistic regression model, only male gender was significantly associated with severity of COVID-19 stigma. Conclusion This study concluded that more than half of frontline HCWs in the Department of Anaesthesia and Critical Care experienced severe social stigma during COVID-19 pandemic, with highest stigma in concerns with public attitude subgroup. Severity of stigma was associated with age, male gender, designation, education, and marital status of HCW. Highlights Frontline HCWs of Department Anaesthesia and Critical Care experienced significant stigma related to COVID-19 How to cite this article Jain S, Das AK, Talwar V, Kishore J, Heena, Ganapathy U. Social Stigma of COVID-19 Experienced by Frontline Healthcare Workers of Department of Anaesthesia and Critical Care of a Tertiary Healthcare Institution in Delhi. Indian J Crit Care Med 2021;25(11):1241–1246.