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The book titled ‘Prebiotics, Probiotics and Nutraceuticals' is expected to direct many emerging research pathwaysneed at local and global levels for nutrition and food supplements for developing immunity for healthy life. This volume incorporates sixteen seminal papers on issue based research and their practical applications covering latest information and progress on different area of nutritional supplement research fight against disease. The book highlights the frontier issues and applications in nutritional biotechnology with wide coverage of the themes like Potentiality of Probiotics in Inactivation of Tetrodotoxin, Therapeutic Strategy for the Deterrence of COVID-19 with Relevance to Probiotics and Prospectives of Prebiotics, Probiotics and Synbiotics for Sustainable Development in Aquaculture.Plant based Bioactive compounds in Cancer Therapeutics, Recent Trends in Natural Medicines and Nutraceuticals Research, Probiotics as efficacious therapeutic option for treating gut-related diseases: molecular and immune-biological perspectives, The progressive development of probiotics, prebiotics, synbiotics research, and its multipurpose use in the ornamental fishery, The commercial perspective of probiotics, and bioremediating components in aquaculture pond management: A Case Study andPrebiotics as promising therapeutics for treating gut-related disorders: Biochemical and Molecular Perspectives. Prebiotics and Probiotics as Functional Foods: Prospect and Promises in Metabolic Diseases, Implications of probiotics and prebiotics on immune functions. Recent Trends in Natural Medicines and Nutraceuticals Research, Nutraceuticals are alternative to modern medicines, Socio-Economic Study of Prospective of probiotic, prebiotic and synbiotic for sustainable development of aquaculture in Indian Sunderban. This book will be very useful for the scholars, biotechnologists, agricultural scientists, nutritionist, medical doctors, researchers, teachers and students in the emerging field of biotechnology. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
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Plastic recycling reduces the wastage of potentially useful materials as well as the consumption of virgin materials, thereby lowering the energy consumption, air pollution by incineration, soil and water pollution by landfilling. Plastics used in the biomedical sector have played a significant role. Reducing the transmission of the virus while protecting the human life in particular the frontline workers. Enormous volumes of plastics in biomedical waste have been observed during the outbreak of the pandemic COVID-19. This has resulted from the extensive use of personal protective equipment such as masks, gloves, face shields, bottles, sanitizers, gowns, and other medical plastics which has created challenges to the existing waste management system in the developing countries. The current review focuses on the biomedical waste and its classification, disinfection, and recycling technology of different types of plastics waste generated in the sector and their corresponding approaches toward end-of-life option and value addition. This review provides a broader overview of the process to reduce the volume of plastics from biomedical waste directly entering the landfill while providing a knowledge step toward the conversion of "waste” to "wealth.” An average of 25% of the recyclable plastics are present in biomedical waste. All the processes discussed in this article accounts for cleaner techniques and a sustainable approach to the treatment of biomedical waste. Graphical
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Background: The pandemic resulted in increased screen hours in children due to virtual education. The rate of progression of myopia was noticed to be remarkable in the past 2 years. This study is an endeavor to study the effect of increased screen hours during COVID home confinement on the degree of progression of myopia in school children and to evaluate the difference in change of refractive errors with a variation in the screen size of the digital device used. Method(s): This was prospective observational study with a retrospective comparison arm, wherein 70 school children (140 eyes) aged 4-18 years were subjected to a cycloplegic refraction test. The difference in spherical equivalent refraction from the year 2018 to 19 was compared with that of the difference observed in the pandemic year 2019-2020. A statistical analysis was also made regarding the correlation of variation in refraction between the different genders, age groups, and screen sizes. Result(s): Of the 70 children, 29 (41.42%) were girls and 41 (58.58%) were boys. The gadgets being used vary from mobiles to laptops, and the range of screens and sizes varies from 100 cm2 to 500 cm 2. Similarly, the duration of device use varied from 4 to 8 h. For 2018, the mean value of the spherical equivalent was -1.69 +/- 1.42, for 2019 it was -1.92 +/- 1.50 and for 2020 the mean value was -2.61 +/- 1.47 for the right eye. The mean value of the spherical equivalent for the left eye in 2018 was -1.68 +/- 1.51, in 2019 the value was -1.87 +/- 1.58, and in 2020, the mean value was -2.73 +/- 1.78. Conclusion(s): Increased exposure to digital devices during the COVID-19 period has a role to play in the progression of myopia in school-aged children.Copyright © 2023 Authors. All rights reserved.
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During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a standstill in a very short span like never before. The prime reason for this unexpected outburst of COVID-19 is lack of effective medicine and lack of proper understanding of the influencing factors. Here, the authors aim to find the effect of epidemiological factors that influence its spread using a fuzzy approach. For the same, a total of nine factors have been considered which are classified into risk and preventive factors. This fuzzy model supports to understand and evaluate the impact of these factors on the spread of COVID-19. Also, the model establishes a basis for understanding the effect of risk factors on preventive factors and vice versa. It is worth mentioning that this is the first attempt to analyze the effect of clinical and epidemiological factors with respect to COVID-19 using a fuzzy approach.
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The COVID-19 outbreak turned the world upside down by infecting hundred million people, killing more than five million and disrupting everyday life across the planet. The Wuhan virus shattered the global economy and brought daily life to a grinding halt in much of the world. The second largest populated country India had no escape as well. Since the very beginning of 20th century, machine learning based methodologies have been largely applied in epidemiological data analysis in order to control diseases and other health issues. In this regard, researchers have come up with various predictor models to forecast the future impact of the Wuhan virus, so that further spreading of virus can be controlled by implementing precautionary measures. The purpose behind this work is to investigate the prediction capability of Legendre Polynomial Neural Network (LEPNN) trained using the very popular bio-inspired Flower Pollination Algorithm on the real data set of three categories of COVID cases in India as well as Odisha. The three types are the confirmed, deceased and recovery cases of daily basis. The prediction performance of the LEPNN-FPA model has been assessed with respect to the performance of two other models. © 2022 IEEE.
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Background: COVID-19 vaccine was launched in India on 16 January 2021, prioritizing health care workers. There is lot of apprehensions and anxiety regarding uptake of the vaccine among them. So, determining the acceptability of a COVID-19 vaccine by healthcare professionals will also guide future vaccination studies. Objective: To know the willingness for COVID-19 vaccination among healthcare workers in a tertiary care hospital and to explore the factors responsible for unwillingness of COVID-19 vaccination. Methods: A cross-sectional study was conducted among health care workers of a tertiary care hospital of Odisha. Those who refused to participate in the study, pregnant & lactating mothers and those who participated in COVID 19 vaccine clinical trial were excluded from the study. Data was collected from 746 HCWs for a period of three months i.e., from January 2021 to April 2021. Results: 78.8% HCWs were willing to get vaccinated with COVID 19 vaccine. Also 78.6% HCWs were willing to get their family members vaccinated with COVID 19 vaccine. But 53.6% study participants were not willing for COVID 19 vaccination if they do not get the option of free vaccine. Major reasons for COVID-19 vaccine hesitancy were concerns about the safety (60.8%) and efficacy of the vaccine (58.8%). Vaccine acceptance was more in older age group, Hindus, rural residents and those who have already suffered from COVID 19. Conclusion: Effort should be made to eliminate the doubts and concerns regarding the COVID 19 vaccine. © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Medical specialists are primarily interested in researching health care as a potential replacement for conventional healthcare methods nowadays. COVID-19 creates chaos in society regardless of the modern technological evaluation involved in this sector. Due to inadequate medical care and timely, accurate prognoses, many unexpected fatalities occur. As medical applications have expanded in their reaches along with their technical revolution, therefore patient monitoring systems are getting more popular among the medical actors. The Internet of Things (IoT) has met the requirements for the solution to deliver such a vast service globally at any time and in any location. The suggested model shows a wearable sensor node that the patients will wear. Monitoring client metrics like blood pressure, heart rate, temperature, etc., is the responsibility of the sensor nodes, which send the data to the cloud via an intermediary node. The sensor-acquired data are stored in the cloud storage for detailed analysis. Further, the stored data will be normalized and processed across various predictive models. Among the different cloud-based predictive models now being used, the model having the highest accuracy will be treated as the resultant model. This resultant model will be further used for the data dissemination mechanism by which the concerned medical actors will be provided an alert message for a proper medication in a desirable manner. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The first epidemic of the modern world that has changed the course of the current civilization & turned out to be a pandemic (i.e. COVID-19) has tremendously affected several industries including that of tourism & hospitality. Due to the multilevel impact, the whole world struggled to overcome this situation but with almost two years of its co-existence, people have now managed to change their style of living & social habits including that of the food habits. One of such food habits i.e. 'Eating out/ Dining out' was bound to change in the post-pandemic period due to the health advisories & closure of several hotels, restaurants and food outlets. The present research tries to find out the changes in the Eating out behaviour of the residents of Dharamshala (H.P.) in the pre & post-pandemic period. Further, it tries to identify the factors which affect the eating out behaviour of the residents & measure their importance in different periods (pre &post pandemic). The data were collected from 286 residents of Dharamshala region, through a structured questionnaire & analysed through reliability checks (Cronbach's Alpha-α), KMO & Bartlett's test, factor analysis, paired sample t-test and analysis of frequency & mean values. The results showed a significant decrease in the frequency of visits, purchasing/ordering, percentage of outside meals consumed, average spending etc, whereas the level of priority given by the residents to hygiene, food safety, quality, service & distribution etc has increased in the post-pandemic period. Hence various strategies were suggested for the restaurants/local eateries like, (1) Use of technology (automatic doors, sensor & timer enabled soap & sanitiser dispenser, online payments), (2) cost reduction tactics (controlling of food wastage, reduction in menu items), (3) training of employees (sanitisation rules, HACCP rules) etc which were if adopted will certainly help them revive from the crisis slowly & steadily over the period. © 2022 Editura Universitatii din Oradea. All rights reserved.
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Corona Virus Disease 2019 (COVID-19) has emerged as a supreme challenge for the whole world as well as India. As of now approximately 6.5 million people died in the world. However, the major setback to the world was in 2021 as a result of the second and third waves of COVID-19, which were caused by a different variation of COVID-19 than the first variant. The governments and health sectors were not aware of the subsequent possible waves due to the lack of data analysis competency and improper forecasting models. Hence finding an inflection point of this epidemic curve for COVID-19 infection and death is very imperative to understand different waves and variants instigating these waves. Similarly predicting the epidemic curve for the future is vital to make the government and the systems aware of the impending situation and make them prepare accordingly. Hence this work attempts to demonstrate conditions for finding inflection points and intervals which helps in finding the number of waves and the variants of COVID-19. Simultaneously the forecasting of the number of infections in forthcoming wave is also done using the auto-regressive integrated moving average model to identify the number of waves in India. The prediction of the two months data was compared with actual data for proper analysis. © 2022 IEEE.
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Medical specialists are primarily interested in researching health care as a potential replacement for conventional healthcare methods nowadays. COVID-19 creates chaos in society regardless of the modern technological evaluation involved in this sector. Due to inadequate medical care and timely, accurate prognoses, many unexpected fatalities occur. As medical applications have expanded in their reaches along with their technical revolution, therefore patient monitoring systems are getting more popular among the medical actors. The Internet of Things (IoT) has met the requirements for the solution to deliver such a vast service globally at any time and in any location. The suggested model shows a wearable sensor node that the patients will wear. Monitoring client metrics like blood pressure, heart rate, temperature, etc., is the responsibility of the sensor nodes, which send the data to the cloud via an intermediary node. The sensor-acquired data are stored in the cloud storage for detailed analysis. Further, the stored data will be normalized and processed across various predictive models. Among the different cloud-based predictive models now being used, the model having the highest accuracy will be treated as the resultant model. This resultant model will be further used for the data dissemination mechanism by which the concerned medical actors will be provided an alert message for a proper medication in a desirable manner. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Waste Management has become a big problem in India as a result of rapid urbanization. The urban population is around 377 million spread over 7,935 cities and towns who generates 62 million tones municipal solid waste per year. Only 43 million tons (MT) of the waste is collected, 11.9 MT is treated, and 31 MT is dumped in landfill sites. One of the essential services provided by Municipal Corporation is Solid Waste Management in order to keep the urban area clean. Further, The COVID-19 pandemic-induced catastrophe has altered the dynamics of waste generation in practically every sector around the world, necessitating specific attention. Unpredictable changes in trash quantity and composition also put pressure on policymakers to react quickly. Nevertheless, almost all the solid waste is dumped within the city haphazardly. It is believed that India had an unsound system of waste disposal management. This study was carried out to find out the issues if any regarding the solid waste management practices undertaken by Bhubaneswar Municipal Corporation and suggest certain remedial measures to improve the system. © 2022 by ASERS® Publishing. All rights reserved.
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The COVID-19 pandemic has posed a challenge to healthcare management systems around the globe. The communicability and pathogenicity of the virus are unmatched and extensive. The most common symptoms in mild cases include cough, cold, fever, headaches, shortness of breath, while in serious cases it can lead to sepsis, multiple organ failure, and ultimately death. The management of this disease has caused extreme shortness of medical aids, hospital beds, oxygen availability, and drug availability. Even though many approaches have been tried, none of them have fully catered to the therapeutic needs against this disease. This had led to the failure of all pretested therapeutic aids and drugs and made the world almost succumb to despair. The formulation and manufacturing of vaccines are still underway, and their credibility against different mutated variants of SARS-CoV-2 is another dubious factor. Under such unpredictable circumstances, the evidenced immunomodulatory abilities of mesenchymal stem cells (MSCs) have risen to popularity. There have been several trials registered for the testing of MSC therapy against COVID-19 and they have demonstrated safety and efficacy. MSCs exhibit various molecular mechanisms which are responsible for their regenerative abilities and help in combating COVID-19. However the risk of transplanting whole cells still remains a concern due to a probability of causing emboli formation due to the high dose of cell infusion, moreover the need for repetitive doses due to viability issues with MSCs is another problematic factor. Due to this there has been a shift in the focus of therapy from whole cells toward the use of their derivative extracellular vesicles (EVs). The small size, membrane bound structure, and functionality of EVs has the potential to lead to a medical revolution and assist in combating the COVID-19 pandemic holistically. © 2022 Elsevier Inc. All rights reserved.
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Study question To compare role of intra-ovarian platelet rich plasma (PRP) versus marrow derived stem cell (SC) instillation for improvement in ovarian reserve (AFC, AMH and FSH) Summary answer Both PRP and SC therapy improves the ovarian reserve however, response to PRP is superior to SC post intervention What is known already With increasing incidence of females with diminished ovarian reserve (DOR), posing a serious challenge in terms of limited treatment options for these couples. Clinicians are trying to find effective strategies besides oocyte donation or adoption Of late, novel ovarian rejuvenation approaches has been investigated which are currently available for research purposes only. Multiple studies are evaluating effect of intra-ovarian PRP or autologous SC instillation, the results are encouraging as they are showing improvement in ovarian reserve thus bringing a paradigm shift in treatment options. None of the published studies so far have compared PRP versus SC in DOR population. Study design, size, duration A prospective comparative study was conducted at Division of Reproductive Medicine of a tertiary care institute. 72 infertile females (20-39 years) with poor ovarian reserve (AMH <1.2 ng /ml;AFC<5) were enrolled in the study between January 2020 to December 2021. The two comparative groups underwent either intra-ovarian PRP instillation (n = 42) or autologous SC transplantation (n = 30). Participants/materials, setting, methods After the two groups were matched (PRP vs SC) for baseline characteristics (Age, AMH, AFC, FSH, Estradiol), 30 subjects in each group were compared for change in serum FSH/AMH/Estradiol levels, AFC, right and left ovarian volume at 1st month and 3rd month post intervention from the baseline. This was also compared between the two groups using Student t-test. The cost and procedural pain measured using Visual analog scale (VAS) were also compared between the groups. Main results and the role of chance After matching for baseline characteristics, significant ∼ 1.8/2 and ∼1.5/1.6 fold increase in AFC at 1st/3rd month post intervention (p<0.001) was observed after PRP instillation and SC transplantation respectively. This significant improvement was observed more in PRP group than SC group at 3rd month post intervention (7.07 vs 5.60, p=0.02), while no significant difference existed at 1st month of follow up. However, there was no significant improvement in serum FSH, AMH and Estradiol levels (p0.05) from the baseline at 1st and 3rd month post intervention in both the groups. Similarly, there was no significant difference between the two groups in serum FSH level (7.98 IU/ml vs 9.62 IU/ml, p=0.062;8.26 IU/ml vs 9.50 IU/ml, p=0.15), AMH level (1.62 ng/ml vs 1.02 ng/ml, p=0.27;1.35 ng/ml vs 0.95 ng/ml, p=0.24), Estradiol level (49.12 pg/ml vs 56.48 pg/ml p=0.443;54.7 pg/ml vs 61.12 pg/ml, p=0.44), right ovarian volume (3.13 cm3 vs 2.49 cm3, p=0.06;3.37 cm3 vs 2.74 cm3,p=0.063) and left ovarian volume (2.98 cm3 vs 2.47 cm3, p=0.102;2.87 cm3 vs 2.34 cm3,p=0.103) at 1st and 3rd month post intervention respectively. PRP was more cost-effective and associated with less pain (32.5 mm vs 28.13 mm, p=0.02), and better patient compliance. Limitations, reasons for caution This was a comparative study and the participants were not randomized but were matched for the baseline characteristics. Also due to impact of Covid-19 causing intermittent pause in nonessential facilities like IVF services, a smaller sample size could be enrolled and also clinical outcomes could not be evaluated Wider implications of the findings This study, although comparative, for the first time highlights the beneficial role of PRP over SC, thus can establish superiority of PRP as minimally invasive, economical, patient friendly and a recommended therapy for ovarian rejuvenation and folliculogenesis, providing the DOR females an opportunity to produce their own offspring Trial registration number CTRI/2020/01/022726
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Objective: To compare the role of intra-ovarian Platelet-Rich Plasma (PRP) versus marrow derived Stem-Cells (SC) instillation for improvement in ovarian-reserve (AFC,AMH, FSH). Design: A prospective comparative study. Method: 72 infertile females (20-39 years) with poor ovarian reserve (AMH <1.2 ng/ml;AFC < 5) (POSEIDON criterion) were enrolled for study between January 2020 -December 2021. The two comparative groups underwent either intra-ovarian PRP instillation (n = 42) or autologous SC transplantation (n = 30). After the two groups were matched (PRP vs. SC) for baseline characteristics (Age, AMH, AFC, FSH, Estradiol), 30 subjects in each group were compared for change in serum FSH/AMH/Estradiol levels and AFC at 1st month and 3rd month post intervention from the baseline. This was also compared between the two groups using Student t-test. The cost and procedural pain measured using Visual analog scale (VAS) were also compared. Results: After matching for baseline characteristics, significant ∼ 1.8/2 and ∼1.5/1.6fold increase in AFC at 1st/3rd month post intervention (p < 0.001) was observed after PRP instillation and SC transplantation respectively. However, PRP group fared better than SC group at 3rd month post intervention (7.07 vs. 5.60, p = 0.02), while no significant difference existed amongst the two at 1st month of follow up. Levels of Serum FSH, AMH and Estradiol (p > 0.05) did not differ significantly from the baseline at 1st and 3rd month post intervention in both the groups. Similarly, there was no significant difference between the two groups in serum FSH level (7.98 IU/ml vs. 9.62 IU/ml, p = 0.062;8.26 IU/ml vs. 9.50 IU/ml, p = 0.15), AMH level (1.62 ng/ml vs. 1.02 ng/ ml, p = 0.27;1.35 ng/ml vs. 0.95 ng/ml, p = 0.24), Estradiol level (49.12 pg/ml vs. 56.48 pg/ml p = 0.443;54.7 pg/ml vs. 61.12 pg/ml, p = 0.44) at 1st and 3rd month post intervention respectively. PRP is comparatively more cost effective and is associated with lesser pain (32.5 mm vs. 28.13 mm, p = 0.02) then SC group thus showing better compliance and acceptability. Conclusion: Both PRP and SC therapies improves the ovarian reserve markers however, response to PRP is superior to SC. Also, further to note that PRP is minimally invasive and has better compliance and acceptability. The main limitation of this study is small sample size and due to Covid pandemic inability to perform the IVF cycles to show improvement in clinical pregnancies and live births. Therefore, a large randomized trial is required to validate these results.
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COVID-19 (Corona Virus Disease 2019) is a pandemic which has been spreading exponentially around the globe. Many countries had adopted stay-at-home or lockdown policies to control its spreading. However, prolonged stay-at-home can cause worse effects like economic crises, unemployment, food scarcity, and mental health problems of individuals. EasyBand2.0 is a wearable personal safety device that helps in social distancing and also helps in safe mobility. Under the IoMT (Internet of Medical Things) framework the wearable EasyBand2.0 device helps in social distancing, it avoids human-to-human contact and helps maintain a safer distance. EasyBand2.0 uses the Low Power BLE technology to sense distance between two user devices and alert them based on the distance and time spent in proximity. Safe mobility of people is also important as travel is resumed in all forms. This paper proposes a software application along with the easy band to further be integrated with a system that works based on GPS (Global Positioning System) or GIS (Geographic Information System) to provide travel logging for contact tracing without exposing personal data. A CARS (Context Aware Recommendation System) based safe zone recommender system is proposed in this paper to aid safe mobility. © 2022 IEEE.
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COVID-19 pandemic has created chaos all over the world thereby reducing productivity and affecting day to day life of people. Wearing a face mask has become the need of the hour. In the future, it is expected that masks will become an integral part of human lifestyle and people have to wear masks to avail certain services. Therefore, the detection of face mask has become a global problem to avoid the spread of this virus. This paper presents a deep learning approach to detect faces with masks from an image or from a video stream, which can be used in surveillance tasks. The method attains accuracy up to 99% on Simulated Face Mask Dataset. We have manually tested this model on webcam, and it detects the presence of masks correctly without overfitting. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Background: Atypical category of COVID-19 could not be differentiated from tuberculosis (TB) in high-resolution computed tomography (HRCT) of the chest because of similar imaging features. This study aims to distinguish between the HRCT features of TB and atypical COVID-19. Methodology: Interferon-gamma release assay (IGRA) was performed in all the 54 COVID-positive patients, showing atypical COVID features that are suspicious of TB on the HRCT chest. Atypical imaging features such as a tree in bud nodules, patchy consolidations, cavitation with surrounding consolidation, discrete nodules, mediastinal lymphadenopathy, and pleural effusion were analyzed in 50 IGRA-negative patients. Results: We found trees in bud nodules (93%) and consolidations (56%) involving predominantly lower lobes, i.e., superior and posterobasal segments. Discrete nodules and cavitation with surrounding consolidation were seen involving predominantly upper lobes (78 and 57% cases, respectively), i.e., apicoposterior and lingular segments of the left upper lobe. The maximum number (67%) of right paratracheal enlarged nodes and bilateral pleural effusions (71%) were found in IGRA-negative COVID-19 patients. Conclusions: It is not always possible to differentiate features of atypical COVID-19 from TB based on HRCT chest alone because of similar appearances and distribution of tree in bud nodules, consolidation, cavitation, and lymphadenopathy in HRCT chest. Since both bilateral and unilateral pleural effusions may be seen in TB, it is impossible to differentiate COVID-19 from TB based on pleural effusion. Therefore, exclusion of TB will need supportive, relevant laboratory investigations (Sputum acid fast bacilli, cartridge-based nucleic acid amplification test, and IGRA) for appropriate diagnosis and management.
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Barotrauma has many different presentations, including pneumothorax, subcutaneous emphysema, pneumoperitoneum, and pneumomediastinum. We have presented and analyzed some interesting cases of barotrauma in this case series. Case 1 in our series developed a thin-walled new cavity due to barotrauma, mimicking pneumatocele and fungal cavity. Case 2 presented with coexistence of pneumothorax and cavity with fungal infestation. Severity of barotrauma due to positive pressure ventilation has been shown in case 3. An interesting case of barotrauma in a 36-week primigravida, post cesarean section, causing dehiscence of scar, presented as case 4 in our series. Early and rapid imaging diagnosis of barotrauma should be pursued. In patients with mechanical ventilation, identifying small changes in imaging characteristics of cavitary lesions, such as fungal, bacterial, or transient cavities, would aid physicians in offering a correct treatment plan.
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Background: The occurrence of invasive fungal infections in COVID-19 patients is on surge in countries like India. Several reports related to rhino-nasal-sinus mucormycosis in COVID patients have been published in recent times;however, very less has been reported about invasive pulmonary fungal infections caused mainly by mucor, aspergillus or invasive candida species. We aimed to present 6 sputum culture proved cases of invasive pulmonary fungal infection (four mucormycosis and two invasive candidiasis) in COVID patients, the clues for the diagnosis of fungal invasion as well as difficulties in diagnosing it due to superimposed COVID imaging features. Case presentation: The HRCT imaging features of the all 6 patients showed signs of fungal invasion in the form of cavities formation in the pre-existing reverse halo lesions or development of new irregular margined soft tissue attenuating growth within the pre-existing or in newly formed cavities. Five out of six patients were diabetics. Cavities in cases 1, 2, 3 and 4 of mucormycosis were aggressive and relatively larger and showed relatively faster progression into cavities in comparison with cases 5 and 6 of invasive candidiasis. Conclusion: In poorly managed diabetics or with other immunosuppressed conditions, invasive fungal infection (mucormycosis, invasive aspergillosis and invasive candidiasis) should be considered in the differential diagnosis of cavitary lung lesions.
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The emotional dimensions of health workers are emerging as a serious issue in academic discourse in the current decade. The World Health Organization (WHO) report underscores the significance of Emotional Stability among health workers as a factor affecting the performance of the health sector organization. Purpose. This study investigates the role of Emotional Intelligence on Performance through Psychological resilience in this pandemic situation of COVID19 in the Health sector Organization in Odisha, India. Method. Taking samples from public and private hospitals in Odisha 103 nurses’ were administered Schutte’s Self Report Emotional Intelligence Scale. The questionnaire has dimensions as Emotional Perception, Facilitating Cognition, Emotional Understanding, and Emotional Management. Findings. Regression analysis showed that the Emotional intelligence of health workers can be a predictive factor of Organization performance in the health industry. The nurses of different hospitals are proficient in taking on new challenges, they are also competent in adapting to any situation, they can recognize their strengths and weaknesses, and also they can treasure good humor during bad times. Principal component factor analysis showed that emotional perception and understanding as well as facilitating cognition used in regulating the overall performance of the hospital. Value of results. The amount of EI a nurse of a hospital has developed significantly impacts organization performance as a major part of the hospital nurses act as the central pillar of hospitals so they have a sense of understanding and can critically analyze patient behaviors and minimizes issues within the territory. This study going to help the hospital managers for managing the emotions of nurses who work under him / them. © 2021 Organizatsionnaya Psikhologiya. All rights reserved.