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For any Firm or organization or industry, the major asset is their employees. The importance of employees to any organization does not just depend on recruiting the talent, but also on retaining them for more period of time. The research focused on the various findings of the previous researchers and also included the present pandemic situation which effected the Indian economy and also decisions of the employees to shift their roles and organization. Various opportunities are open in the market, there by attracting the employees towards new opportunities. The present paper comprises of the Human Resource practices that make the employees stick towards a organization for longer period. The concept studied through descriptive research technique and secondary source of information is taken from various journals and articles. All the HR managers who wish to keep their good talent with in organizations must remember that just one strategy does not work for successful employee retention and it also depends on various HR elements namely the medical assistance in this pandemic, available opportunities for career development, performance recognition techniques and rewards, compensation, leadership style, management strategies, Training and development, motivation, decision making strategies. © 2023 Author(s).
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Healthcare monitoring frameworks emerged as one of the most essential frameworks and innovations established over the last decade. As a result of failing to provide adequate clinical attention to patients at the appropriate time, many people are facing the possibility of an untimely death. Ultimately, the goal was to develop an IoT-based integrated healthcare monitoring framework that could be relied upon by healthcare professionals to screen their patients, whether they were in the hospital or at home, to ensure that they were being well-cared for. A mobile phone-based remote healthcare monitoring framework has been constructed with the help of sensors, an information acquisition unit, a microcontroller (such as Arduino), and a product modification. This framework has the potential to provide continuous web-based data regarding a patient's physiological states (i.e., JAVA). Before transmitting it to the specialist's portable device along with the application, the framework examines the patient's temperature, heart rate, and EEG data. It then displays and saves this information. An Internet of Things-based patient monitoring framework may monitor a patient's health condition in an efficient manner and save the patient's life at the appropriate moment. © 2023 IEEE.
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The paper reports evidence related to peoples' perceptions and attitude during the early stages of COVID-19 related lockdown in India in four major aspects: strategies and preventive measures, long-distance travel, essential services, and post-lockdown travel. A five-stage survey instrument was designed and circulated through various online modes to make it convenient to the respondents and also to achieve a greater geographical coverage within a short period of time. The survey responses were analyzed using statistical tools and the results are translated into potential policy recommendations which may be useful to implement effective interventions during future pandemics of similar nature. The findings highlight a high rate of awareness among the people about the COVID-19, lack of supply of protective equipment such as masks, gloves, and personal protective equipment kits during the early stage of lockdown in India. However, several heterogeneities were also observed across a few socio-economic groups which emphasize the need for targeted campaigns in a diverse country such as India. The findings also suggest the need for arranging safe and hygienic long-distance trips for a section of the society when such lockdown measures are extended for long periods. The observations related to mode choice preferences during the post-lockdown recovery period indicate a potential shift of public transport patronage to the personal modes.
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The COVID-19 pandemic has forced employers and employees to re-evaluate their attitudes toward telecommuting. This induced a change in the sheer number of people who have started to work from home (WFH). While previous studies highlight differences between telecommuters based on their level of telecommuting experience, these effects have not been studied in detail. This may limit the evaluation of implications for post-pandemic times and the transferability of models and predictions based on data collected during the COVID-19 pandemic. This study expands on previous findings by comparing the characteristics and behavior of those who have started to telecommute during the pandemic and those who had already telecommuted before. Furthermore, this study addresses the uncertainty that exists about whether the findings of studies conducted before the pandemic-for example about sociodemographic characteristics of telecommuters-still hold true, or if the pandemic induced a shift in telecommuters' profiles. Telecommuters show differences when considering their previous experience in WFH. The results of this study suggest that the transition induced by the pandemic was more drastic for new telecommuters compared with experienced telecommuters. The COVID-19 pandemic had an effect on how household configurations are considered in the choice to WFH. With decreased access to child care resulting from school closings, people with children in the household were more likely to choose to telecommute during the pandemic. Also, while people living alone are generally less likely to choose to WFH, this effect was reduced as a result of the pandemic.
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Understanding the interaction between in-home and out-of-home activity participation decisions is important, particularly at a time when opportunities for out-of-home activities such as shopping, entertainment, and so forth are limited because of the COVID-19 pandemic. The travel restrictions imposed as a result of the pandemic have had a massive impact on out-of-home activities and have changed in-home activities as well. This study investigates in-home and out-of-home activity participation during the COVID-19 pandemic. Data comes from the COVID-19 Survey for assessing Travel impact (COST), conducted from March to May in 2020. This study uses data for the Okanagan region of British Columbia, Canada to develop the following two models: a random parameter multinomial logit (RPMNL) model for out-of-home activity participation and a hazard-based random parameter duration (HRPD) model for in-home activity participation. The model results suggest that significant interactions exist between out-of-home and in-home activities. For example, a higher frequency of out-of-home work-related travel is more likely to result in a shorter duration of in-home work activities. Similarly, a longer duration of in-home leisure activities might yield a lower likelihood for recreational travel. Health care workers are more likely to engage in work-related travel and less likely to participate in personal and household maintenance activities at home. The model confirms heterogeneity among the individuals. For instance, a shorter duration of in-home online shopping yields a higher probability for participation in out-of-home shopping activity. This variable shows significant heterogeneity with a large standard deviation, which reveals that sizable variation exists for this variable.
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The Covid-19 pandemic crisis has forced many people to work from home rather than at their regular workplace. This paper explores the expected long-term changes caused by the pandemic crisis in Israel on work-related travel patterns, that is, the shifts in commuting and telecommuting post- versus pre-pandemic. Methodologically, the analysis is based on two consecutive surveys (of the same respondents) that were distributed during the pandemic (April and June 2020) to evaluate the trends in commuting and telecommuting from pre- to post-pandemic, addressing revealed preferences on work habits before and during the pandemic and stated intentions about work patterns after the pandemic. Four models were estimated based on these data: two multinomial logit models analyzing the trends in commuting and teleworking from before to after the pandemic, and two ordered logit models addressing the frequency of the intended teleworking and commuting trips in the post-pandemic era. The results showed that the Covid-19 crisis is expected to have some long-term implications, specifically, based on our sample, a 5%-6% expected reduction in commuting trips, alongside an expected increase in teleworking. While several socio-demographic, work-related, and personality traits were found to significantly influence commuting/telecommuting trends and frequency, it is interesting to note that working solely from home during the lockdown was found to have a prominent impact on increasing teleworking while decreasing commuting. Quantitative consistency evaluation of behavioral-shift statements across the consecutive surveys revealed moderate consistency, which is very reasonable given the instability associated with the Covid-19 crisis and the inherent changes in human perceptions.
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The dockless e-scooter sharing service is rapidly spreading, replacing existing transportation, and improving last-mile accessibility. User segmentation with travel regularity and segment-level behavior analysis, which are already conducted in public transit, also benefits e-scooter sharing service to enhance service quality and increase usage. In this work, we group e-scooter users according to their travel regularity and identify each group's usage characteristics. Through the dockless e-scooter usage data, as operated in six cities in South Korea, travel regularity measured by users' repetitive departure time and destination is discovered and spatiotemporal usage patterns are identified. We divide e-scooter users into three groups by type of travel regularity: irregular user, spatially regular user, and regular user. Regular users more frequently use e-scooters, travel shorter distances, and walk longer distances to find an e-scooter than other groups. It is also revealed that the use in morning peak hours only occurs in the regular user group. By decomposing the temporal patterns of spatially regular and regular users, we discover that spatially regular users are composed of daytime, evening peak, and nighttime users. In contrast, regular users are composed of morning peak, evening peak, and lockdown (restriction in response to COVID-19 pandemic) peak users. This research suggests user segmentation based on travel regularity in e-scooter sharing services, enabling multiple strategies to be drawn to retain users with high regularity and convert users with low regularity to regular users.
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Despite the considerable influence of the "Asian Century" on Australian Government policy and the purported centrality of Asia to Australian national identity, the outbreak of the COVID-19 pandemic has simultaneously highlighted and intensified the deleterious impacts of anti-Asian racism. Specifically, Orientalist discourses and a "fear of invasion" that underpin the differential racialized treatment of the Asian diaspora in Australia have manifested in both old and new racisms that have had significant impacts on the mental and physical wellbeing of Asian Australians. In response to this crisis, this autoethnographic paper acknowledges the growing methodological complexity of Critical Race Theory and advances a novel, future-focussed Asian Australian social justice agenda in solidarity with other racialized minorities by interrogating the collaborative potential of Asian Critical Race Theory (AsianCrit) and Autoethnography through an investigation of their respective theoretical and methodological intersections. [ FROM AUTHOR] Copyright of Qualitative Inquiry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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In 2019, we have seen the biggest epidemic of the century, which claimed many lives worldwide. The epidemic has in fact changed our life in many ways. It changed the way we interact with people. Wearing a mask is now the new normal. Though now the vaccine for the disease is available, still wearing a mask can save us from Covid19, its variants, and other contagious diseases.Especially at places where the large gathering is expected wearing a mask can be made mandatory and our proposed framework can do its monitoring through CCTV cameras.So in this research, we build a deep learning-based framework to detect whether some person is wearing a mask or not through the live video stream. We used a total of three state-of-The-Art transfer learning methods to train our system and used OpenCV to detect faces in the live video stream. We found that efficientnetB1 achieved the highest accuracy of 97.75%. © 2022 IEEE.
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Background: This study was designed to investigate patterns and risk factors for substance use among obstetrical patients who gave birth during the early period of the pandemic, and their partners. Method(s): Cross-sectional survey of obstetrical patients between March 17th and June 16th, 2020, at The Ottawa Hospital, Ottawa, Canada. Substance use was a composite measure of any alcohol, tobacco, or cannabis use since COVID-19 began. Four outcomes included: any participant substance use or increase in substance use, any partner substance use or increase in substance use. Adjusted risk ratios (ARR) and 95% confidence intervals (CI) are presented. Finding(s): Of 216 participants, 113 (52.3%) and 15 (6.9%) obstetrical patients reported substance use and increased use, respectively. Those born in Canada (ARR: 2.03;95% CI: 1.27-3.23) and those with lower household income (ARR: 1.38;95% CI: 1.04-1.85) had higher risk of substance use. Those with postpartum depression (ARR: 5.78;95%CI: 2.22-15.05) had the highest risk of increased substance use. Families affected by school/daycare closure reported a higher risk of increased partner substance use (ARR: 2.46;95% CI:1.38-4.39). Conclusion(s): This study found that risk factors for substance use included demographics (i.e., being born in Canada, income), mental health (postpartum depression), and school/childcare closures.Copyright © 2023 Taylor & Francis Group, LLC.
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Various vaccine platforms are geared against COVID-19 vaccine development to produce immunogens in cells. To design a recombinant protein-based COVID-19 vaccine, Vaxine pty Ltd used computer models of the spike protein and its human receptor, ACE2, to identify how the virus infects human cells. Based on this, the COVAX-19 vaccine is synthesized. It does reduce not only COVID-19 disease but also blocks virus shedding and transmission. Researchers are optimistic that this vaccine candidate could be clinically available soon with sufficient vaccine efficacy with a considerable amount of reduction in vaccination-related side effects.Copyright © 2021
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SARS-CoV-2 was first discovered in Wuhan in late 2019 and has since spread over the world, resulting in the present epidemic. Because targeted therapeutics are unavailable, scientists have the opportunity to discover new drugs or vaccines to counter COVID-19, and a number of synthetic bioactive compounds are now being tested in clinical studies. Due to its broad therapeutic spectrum and low adverse effects, medicinal herbs have been used as traditional healing medication in that countries for ages. Due to a lack of synthetic bioactive antiviral medications, pharmaceutical and alternative therapies have been developed using a variety of herbal compositions. Due of the widespread availability of herbal and dietary products worldwide, people frequently use them. Notably, the majority of the Bangladeshi people continue to use a variety of natural plants and herbs to treat various types of disease. This review discusses about how previous research has shown that some herbs in Bangladesh have immunomodulatory and antiviral effects, and how their active ingredients have been gathered. Even though FDA-approved medications and vaccines are available for the treatment of Covid-19, the purpose is to encourage the use of herbal medicine as immuno-modulators and vaccine adjuvants for the treatments of COVID-19 prevention.
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INTRODUCTION: Persisting respiratory symptoms in COVID-19 survivors may be related to development of pulmonary fibrosis. We assessed the proportion of chest CT scans and pulmonary function tests consistent with parenchymal lung disease in the follow-up of people hospitalised with COVID-19 and viral pneumonitis. METHODS: Systematic review and random effects meta-analysis of proportions using studies of adults hospitalised with SARS-CoV-2, SARS-CoV, MERS-CoV or influenza pneumonia and followed up within 12 months. Searches performed in MEDLINE and Embase. Primary outcomes were proportion of radiological sequelae on CT scans; restrictive impairment; impaired gas transfer. Heterogeneity was explored in meta-regression. RESULTS: Ninety-five studies (98.9% observational) were included in qualitative synthesis, 70 were suitable for meta-analysis including 60 SARS-CoV-2 studies with a median follow-up of 3 months. In SARS-CoV-2, the overall estimated proportion of inflammatory sequelae was 50% during follow-up (0.50; 95% CI 0.41 to 0.58; I2=95%), fibrotic sequelae were estimated in 29% (0.29; 95% CI 0.22 to 0.37; I2=94.1%). Follow-up time was significantly associated with estimates of inflammatory sequelae (-0.036; 95% CI -0.068 to -0.004; p=0.029), associations with fibrotic sequelae did not reach significance (-0.021; 95% CI -0.051 to 0.009; p=0.176). Impaired gas transfer was estimated at 38% of lung function tests (0.38 95% CI 0.32 to 0.44; I2=92.1%), which was greater than restrictive impairment (0.17; 95% CI 0.13 to 0.23; I2=92.5%), neither were associated with follow-up time (p=0.207; p=0.864). DISCUSSION: Sequelae consistent with parenchymal lung disease were observed following COVID-19 and other viral pneumonitis. Estimates should be interpreted with caution due to high heterogeneity, differences in study casemix and initial severity. PROSPERO REGISTRATION NUMBER: CRD42020183139.
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The optimal management of small but growing nodules remains unclear. The SUMMIT study nodule management algorithm uses a specific threshold volume of 200 mm3 before referral of growing solid nodules to the multidisciplinary team for further investigation is advised, with growing nodules below this threshold kept under observation within the screening programme. Malignancy risk of growing solid nodules of size >200 mm3 at initial 3-month interval scan was 58.3% at a per-nodule level, compared with 13.3% in growing nodules of size ≤200 mm3 (relative risk 4.4, 95% CI 2.17 to 8.83). The positive predictive value of a combination of nodule growth (defined as percentage volume change of ≥25%), and size >200 mm3 was 65.9% (29/44) at a cancer-per-nodule basis, or 60.5% (23/38) on a cancer-per-participant basis. False negative rate of the protocol was 1.9% (95% CI 0.33% to 9.94%). These findings support the use of a 200 mm3 minimum volume threshold for referral as effective at reducing unnecessary multidisciplinary team referrals for small growing nodules, while maintaining early-stage lung cancer diagnosis.
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eHealth or Digital health is the pioneer project funded by Government of India and Department of Health and Family Welfare, Government of Kerala, designed to provide residents of Kerala with convenient centralized healthcare system. It describes the integration of information technology and electronic communications used for different healthcare processes for people's health and their wellbeing. It has introduced since 1920s as Telemedicine and later it expanded in 2009 as e-Health due to advancement of technology. When the countries healthcare industry was facing tough times, we observed that the e-Health came to the rescue of many times during multiple waves of the pandemic. This study mainly focusses on analysing various digital health initiatives by MHFW and an attempt has been made to know what are telemedicine schemes, web portals and mobile applications and global digital health agenda used for implementation of digital health and how far it benefited in the pandemic days. Copyright © 2022, Anka Publishers. All rights reserved.
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In 1991 with the support and efforts of Dr. P.V. Narsimha Rao and Dr. Manmohan Singh economic liberalization was initiated in India. The main purpose of liberalization was expansion in investment and industrialization. As an effect of liberalization, the Indian banking industry become more cautious while disbursing loans to its borrowers and started to take precautionary majors for not converting assets into Non-Performing Assets. In 2015 Prime Minister Shri Narendra Modi introduced Mudra Loan Concept under the flagship of the PMMY scheme to support non-agriculture/non-farm activities. The banks that disburse these loans are called Mudra Banks. These banks provide loans up to Rs. 10,00,000/- without any collateral security. Therefore, the chances of increasing Non-Performing Assets are at a high level. The study highlighted the reasons for increasing NPA concerning selective Mudra banks and also corrective majors or efforts to be taken by the Mudra banks to minimize the amount of NPA. NPA adversely affects the bank's financial solvency, profitability, and liquidity. NPA stops the income-generating source for the bank. The study analyzed the position of Gross Non-Performing Asset and Net Non-Performing Asset before and after covid-19 Pandemics crises concerning Mudra Banks. The study concluded that the repayment capacity of mudra loan borrowers is at a high level than any other loan borrowers also there is not much effect of the covid-19 pandemic on the repayment of mudra loans as they stood at the same place before and after the covid-19 pandemic crisis. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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129Xe MRI red blood cell to alveolar tissue plasma ratio (RBC:TP) abnormalities have been observed in ever-hospitalised and never-hospitalised people with postacute COVID-19 syndrome (PACS). But, it is not known if such abnormalities resolve when symptoms and quality-of-life scores improve. We evaluated 21 participants with PACS, 7±4 months (baseline) and 14±4 months (follow-up) postinfection. Significantly improved diffusing capacity of the lung for carbon monoxide (DLCO, Δ=14%pred ;95%CI 7 to 21, p<0.001), postexertional dyspnoea (Δ=-0.7; 95%CI=-0.2 to -1.2, p=0.019), St George's Respiratory Questionnaire-score (SGRQ Δ=-6; 95% CI=-1 to -11, p=0.044) but not RBC:TP (Δ=0.03; 95% CI=0.01 to 0.05, p=0.051) were observed at 14 months. DLCO correlated with RBC:TP (r=0.60, 95% CI=0.22 to 0.82, p=0.004) at 7 months. While DLCO and SGRQ measurements improved, these values did not normalise 14 months post-infection. ClinicalTrials.gov NCT04584671.
Subject(s)
COVID-19 , Humans , Follow-Up Studies , Lung/diagnostic imaging , Magnetic Resonance Imaging , Quality of Life , Pulmonary Diffusing CapacityABSTRACT
An IoT-based system for monitoring the quality of the air within a building, which includes a "Smart-Air"air quality sensor on a web server. IoT and cloud storage are used to evaluate the quality of the air at any time and from any place. Smart-Air is a product of the Internet of Things (IoT), a device that uses LTE to broadcast real-time data on air quality to a web server. Today, air pollution is a leading cause of preventable mortality and disease across the world. Pollution has become a major concern all around the globe. The discharge of chemicals or unfriendly compounds has a devastating impact on human, animal, and plant life. This is referred to as pollution. Many studies have been conducted on different air purification techniques because of this. Air purifiers that utilize HEPA filters, activated carbon, and UV light are discussed in this paper. The water and chemicals that an air purifier sprays into the air will spread out contaminants. © 2022 IEEE.
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Every day more and more it is accepted the idea that the Covid-19 pandemic is the biggest historical event of the last 30 years that is bringing socio-economic change all over the world. This situation is bringing concepts transformation of the theoretical bases, as well as economic policies which are undergoing radical transformations, changes that are the subject of this paper. In the article is analyzed in theoretical and practical terms, the expected effects of policies used in this situation, to overcome it. Special place has taken the changes in the economic relations of the world powers, the change of development models in general and economic systems in particular. In terms of study methodology, the paper tries to prove statistically the consequences of using economic leverage in economies of developed countries, changes in the labor market, the effects of the local economic situation of each country, as well as the role of economic groups and international organizations in overcoming the consequences of pandemics. It identifies macroeconomic forecast targets, new forms of development risk assessment, the role of digitalization in economy, health market restructuring, etc. As the conclusions I have been trying to give answers questions: Are we facing unthinkable changes? Is the role of Central Banks changing? What is going to be with debt, deficit or inflation? How it will be resolved unemployment problem and what are the changes in the labor market? Is it going to change the economic model, or social inequality?
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Covid has changed our lives in many ways. People are scared to even step out of their houses, but health care workers have no option but to continue to work and care for the sick. Health care workers play a vital role in providing care to the infected persons, working beyond their capacities and risking their own lives. There is a lot of stress involved in the medical profession, and the pandemic made it worse. Each frontline health worker is at risk of getting infected with Covid during work and carrying it to their families, causing a lot of anxiety and mental health issues among the health care workers. According to a recent by the US Centers for Disease Control and Prevention (CDC), more than half of public health workers have reported symptoms of at least one mental health condition like depression, anxiety, and post-traumatic stress disorder (PTSD) in the recent past. A recent study among 422 doctors revealed 63.5% symptoms of depression, and 45% symptoms of stress, among frontline COVID-19 doctors. Physicians who perceived organizational problems related to procedural and informational justice were exposed to high levels of occupational stress. Every physician should have a personal doctor, and he or she has to seek suitable help as needed. The health care workers' stress is mainly associated with work stress as they are expected to work on a war footing and get very little time to spend with their families. There is a need to set up good psychiatric care for the medical professionals in the hospitals. The administrators of the hospitals should frequently check on the health and well-being of their employees. This article attempts to provide strategies to hospital administrators to help medical professionals reduce their stress levels.