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Since March 2020, the COVID-19 pandemic has significantly reduced the availability of global aircraft-based observations (ABOs), which has been restored later in 2021. This study focuses on the impact of ABOs on a regional reanalysis. Indian Monsoon Data Assimilation and Analysis (IMDAA) is a regional reanalysis for a period from 1979 to 2020 (originally up to 2018) over India and surrounding regions produced at the National Centre for Medium Range Weather Forecasting (NCMRWF), India, in collaboration with the UK Met Office. A comparison of the impact of ABOs on other conventional and satellite observations assimilated in the NCMRWF global model and IMDAA during 2019 and 2020 revealed the importance of ABOs, particularly in IMDAA, since it did not assimilate the latest satellite data as the IMDAA system was frozen in October 2016. A data denial experiment that removes all the ABOs from the IMDAA assimilation system for a period from March to November 2019 is designed. The results from the IMDAA reanalysis run, which assimilates ABOs during the same period, are compared with the data denial experiment. Assimilation of ABOs strengthened the upper tropospheric circulation, the Tropical Easterly Jet (TEJ), during the Indian summer monsoon compared to the data denial experiment. Analysis of the features of two cyclones that developed over the North Indian Ocean during the study period revealed that ABO assimilation played a key role in simulating the track and intensity of these cyclones when they were in the ‘severe' category. Since the sample is small, more cyclone cases need to be analysed to consolidate the result. © 2023 Royal Meteorological Society.
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This qualitative study explored the perceptions of primary grade teachers in the Indian cities of Mumbai and Sambalpur about the barriers they faced in implementing remote instruction effectively during the pandemic. Interviews were conducted over Zoom and via phone. The findings highlighted two sources of barriers. The external barriers included lack of device availability and internet data issues, professional development issues and teachers' own efforts, time commitment to prepare materials, and classroom management challenges. Teachers' lack of positive beliefs about remote instruction surfaced as an internal barrier. The findings are consistent with studies conducted by researchers globally and bear implications for early childhood teachers, parents, programs, and policymakers. While research findings have exposed global unpreparedness to implement remote instruction effectively during the pandemic, these findings have also made the field aware of the need for harnessing the potential of technology in enhancing teaching and learning processes and outcomes. Future researchers may design mixed-method studies to identify the extent of children's learning loss and evaluate the effectiveness of intervention programs offered by schools to help children achieve their current grade level competencies by the end of the academic year. Gathering teachers' and parents' voice is critical in this context. © 2023 Childhood Education International.
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The worldwide health crisis is caused by the widespread of the Covid-19 virus. The virus is transmitted through droplet infection and it causes the common cold, coughing, sneezing, and also respiratory distress in the infected person and sometimes becomes fatal causing death. As the world battles against covid-19, the proposed approach can help to contain the clustering of covid hotspot areas for the treatment of over a million affected patients. Drones/ Unmanned Aerial Vehicles (UAVs) offer a great deal of support in this pandemic. As suggested in this research, they can also be used to get to remote places more quickly and efficiently than with conventional means. In the hospital's control room, there would be a person in command of the ambulance drone. For hotspot area detection, the drone would be equipped with FLIR camera and for detection and recognition of face the video transmission is used by raspberry pi camera. The detection of face is done by Haar cascade Classifier and recognition of the face with LBPH algorithm. This is used for identify the each individual's medical history or can be verified by Aadhar Card. Face recognition between still and video photos was compared, and the average accuracy of still and video images was 99.8 percent and 99.57 percent, respectively. To find the hotspot area is to use the CNN Crowd counting algorithm. If the threshold value is less than equal to 0.5 than it is hotspot area , if it is greater than 0.5 and less than equal to 0.75 than it is semi-normal area , if it is greater than 0.75 and less than equal to 1 than it is normal area. © 2022 IEEE.
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An international health crisis has been caused by the widespread COVID-19 epidemic. COVID-19 patient diagnoses are made using deep learning, although this necessitates a massive radiography data collection in order to efficiently deliver an optimum result. This paper presents a novel Intelligent System with IoT sensors for covid 19 and "Bilinear Resnet 18 Deep Greedy Network,"which is effective with a limited amount of datasets. Despite peculiarities brought on by a small dataset, the suggested approach could successfully combat the anomalies of over fitting and under fitting. The suggested architecture ensures a successful conclusion when the trained model is correctly evaluated using the provided X-ray datasets of COVID-19 cases. The recommended model offers accuracy of 97%, which is superior to existing methodologies. Better precision, recall, and F1 score are provided;which are 98%, 96%, and 96.94% respectively, which is better than other existing methodology. © 2022 IEEE.
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Introduction: The persistence of symptoms beyond 4 weeks of SARS-CoV-2 infection is referred to as long COVID. There is lack of data about the clinical determinants and natural history of this condition. Aims & objectives: We aimed to determine the risk factors, symptomatology, spirometric abnormalities and evolution of long COVID over a 1-year period. Method(s): We enrolled adult patients at 1-4 months after diagnosis of COVID-19. The demographics, COVID-19 history, clinical symptoms and spirometric results were recorded. Follow-up assessments were done in-person or telephonically at 4-8 months and 8-12 months, respectively. Result(s): We enrolled 128 patients (69% male) with median (IQR) age of 49 (37-56) years. Among these, 99 (77%) needed hospitalization, and 47 (37%) received oxygen for COVID-19. At the 1st assessment at median (IQR) of 64.5 (39.5-90) days after COVID-19 onset, 86 (67%) patients had symptoms, most commonly dyspnea (34%), fatigue (19%) and cough (19%). Reduced FVC (<80% of predicted) was found in 61% subjects. On multivariate analysis, the predictors of symptomatic long COVID were female gender (OR, 4.1;95% CI: 1.5-11;p=0.006) and dyspnea during acute COVID-19 (OR, 3.6;95% CI:1.1-11.3;p=0.03). The predictors of reduced FVC were dyspnea (OR, 4.4;95% CI: 1.6-12;p=0.004) and oxygen therapy (OR, 5.6;95% CI: 1.5-21;p=0.01) during acute COVID-19. The proportion of symptomatic patients reduced between 1st and 2nd assessment (67% vs 37%, p<0.001) and then plateaued at 3rd assessment (42%). Conclusion(s): Persistent symptoms are common over a 1-year follow-up among survivors of COVID-19. Female gender and dyspnea during acute COVID-19 may predict development of long COVID.
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Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration. KEY POINTS What is already known about this topic: A number of higher educational institutions (HEIs) worldwide have introduced online education, and have been continuing teaching–learning activities online from the onset of the COVID-19 pandemic. HEI teachers in developed countries have prior training and experience in conducting online education;however, several pedagogical, technical and management-related challenges have been identified. HEIs in Bangladesh do not have a specific policy regarding continuing education in an emergency. This is the first time that online education has been launched. What this study adds: This study explores how HEIs, particularly teachers, respond to continuing teaching–learning activities. It illustrates teachers' pedagogical, technical and management-related readiness necessary for online education. This study also identifies several challenges in continuing online teaching–learning activities in Bangladesh HEIs. © 2021 Australian Psychological Society.
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Background: Today the world is facing an unprecedented situation owing to the effects of COVID-19, an infectious disease caused by SAR-COV-2 virus, with clinical spectrum ranging from asymptomatic to mild respiratory symptoms to rapid death. COVID-19 was first reported in a hospital in Wuhan city, China on 29th Dec 2019. Subsequently the disease spread rapidly throughout the country. The first case of COVID-19 outside of China was confirmed in Thailand in January, 2020. The disease has spread far and wide all over the world effecting almost every country in the world making it a global pandemic. As of now more than 200 million people have been effected across 213 countries and territories leading to loss of lives. As there is no treatment for the novel corona virus till date, lockdown, and social distancing and vaccination is the only practical and safe option to slow down the spread of the virus. Since the onset of the pandemic in early 2020, 35% of the population has experienced mental distress. Material(s) and Method(s): It is a community based cross-sectional study on parents having children from 0-5 years of age. The study was conducted in different municipal wards of Guwahati city, Assam. 5 municipal wards are selected randomly out of which 260 parents will be selected randomly. Based on the previous study "Impact of COVID-19 Outbreak on mental health and perceived strain among the caregivers tending children with special needs" conducted by Sapna Dhiman and Shilpa Jain, School of Psychotherapy, Delhi Pharmaceutical Sciences and Research University, New Delhi India and published in Research in Developmental Disabilities, 6th October 2020. The prevalence of anxiety was found to be 20.5%. Result(s): Out of the 260 parents that were interviewed, 77 (29.6%) reported having a family member who was diagnosed with COVID-19, while 183 (70.4%) reported not having any family member who was diagnosed with COVID-19. Among the 87 parents who are govt. sector employees, 79 (90.8%) did not suffer from stress, while 8 (9.2%) suffered from stress. Among the 125 parents who are private sector employees, 93 (74.4%) did not suffer from stress, while 32 (25.6%) suffered from stress. Among the 30 parents who own business, 19 (63.3%) did not suffer from stress, while 11 (36.7%) suffered from stress. Among the 3 parents who reported being involved in agriculture, 2 (66.7%) did not suffer from stress, while 1 (33.3%) suffered from stress. Among the 15 parents who reported being unemployed, 9 (60%) did not suffer from stress, while 6 (40%) suffered from stress. Conclusion(s): Thus, through this study, one can conclude that the ongoing pandemic has certainly taken a toll on the mental well-being of parents and as such taking measures to identify and address the issue is the need of the hour. Thus, awareness should be created about identifying signs of various mental health issues so that people can identify and seek necessary medical help at the earliest. Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
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The current study investigated the experiences of in-service teachers' at Fiji National University (FNU) during the second phase of the COVID-19 pandemic. The research aimed to contribute to the evidence base of factors affecting the effectiveness of online learning for in-service teacher education in Fiji and identify strategies for improving student experiences in Fiji and similar contexts. The study involved an online questionnaire administered to 97 in-service teachers at FNU and a follow-up one-on-one interview with six questionnaire participants. The paper is structured into three sections: outlining the literature, context and methods used to gather the data;presentation of the results about online learning experiences of in-service teachers during the COVID-19 pandemic;discussion of the challenges faced by the in-service teachers in adapting to the online learning process during the COVID-19 pandemic. The main findings indicate that the FNU in-service teachers faced challenges in transitioning from face-to-face to online instruction, but, for at least some, the transition also brought benefits. The four main challenges included poor connectivity issues, unavailability of devices, inadequate technological skills and the demands of multiple roles. The benefits of online learning comprised improving students' technical skills, upskilling higher education staff and systems, staying connected during tough times, saving money and time, flexibility and convenience. The study reveals that adaptation should focus on improving the courses and accommodating the digital gap among in-service teachers by providing mobile-friendly, synchronous and asynchronous activities.
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Introduction: The incidence of acute kidney injury (AKI) associated with hospitalized corona virus disease -19(Covid-19) patients and associated outcomes are not well determined. This study describes the presentation, risk factors and outcomes of AKI in patients hospitalized with Covid-19. Material & Methods: In this cross sectional study, we reviewed the health records for all conveniently selected patients hospitalized with Covid-19 irrespective of co morbidity from 1st May to 31st July, 2020, at combined military hospital Dhaka, Bangladesh. Patients younger than 18 years, end stage kidney disease or with a kidney transplant recipient were excluded from the study. AKI was deûned according to kidney disease improving global outcome (KDIGO) criteria. Results: A total of 470 Covid-19 patients were recruited in this current study, out of them 67.02% were male and 32.98% of were female;with male to female ratio was 2:1. The mean age of the study population was 54.71(±14.31) years. AKI developed among 106 (22.55%) patients of whom 50 patients had CKD. The peak stages of AKI were stage 3 in 58(12.34%), followed by stage 1 in 37(7.87%), and stage 2 in 11(2.34%) patients. Renal replacement therapy was required (RRT) for 37(7.87%) patients. Risk factors included older age, hypertension, diabetes mellitus, cardiovascular disease, and chronic kidney disease and those who presented with prolong fever and breathlessness.AKI was commonly seen in patients with severe disease. Considerable number of patient had proteinuria 222(47.23%) and haematuria in 63 (13.40%) and were significantly associated with AKI. Elevated level of ferritin, D-dimer and procalcitonin were observed among 249(52.98%), 179(38.08%) and 138(35, 88%) patients respectively which were substantially correlated with AKI. COVID-19 patients complicated to acute kidney injury were strongly associated with higher mortality19 of 23 (82.60%). Conclusion: Renal involvement in COVID-19 (Corona virus-nephropathy) has a complex etiology. It is closely associated with severity of disease and indicating poor prognosis. Further study will be needed for better understanding the causes of AKI and patient outcomes. [ FROM AUTHOR] Copyright of Journal of Bangladesh College of Physicians & Surgeons is the property of Bangladesh College of Physicians & Surgeons 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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Background: COVID-19 pandemic has caused an unprecedented strike on humanity around the world. The scenario in Bangladesh is getting worse day by day, and every aspect of the society is observing its impact. Health care professionals are at a greater risk of contracting the disease while caring for patients. Objective: The research objective is to explore knowledge, awareness, and practices of registered dentists regarding COVID-19 epidemiology and transmission during the rapid outbreak of this highly contagious virus in Bangladesh. Material and Methods: A cross-sectional web-based survey was conducted among the dentists who were enrolled with their valid unique Bangladesh Medical and Dental Council (BMDC) registration number. A structured questionnaire was distributed among the dentists through different social media platforms. A total of 184 dentists participated in the survey between March and April 2020. Both descriptive analysis and multivariable logistic regression analysis was performed. Results: The dentists' mean age was 31.75 years, with a standard deviation of 6.5 years. About 29.3% of dentists completed their postgraduate qualification, and 76% of them were engaged in private practice at the time of data collection. Compared to the dentists with undergraduate education, the dentists with a postgraduate education are three times (OR=3.1, 95%CI 1.2-7.9 and over 5 times (OR=5.3, 95% CI: 1.2-23.3) more likely to have) better knowledge and practices toward COVID-19 respectively. Dentists aged 26-30 years are less likely to have good practices than the younger dentists (OR:.1;95% CI:.01-.5). However, dentists with less than five years experience are 10.3 (1.6-68.9) times more likely to have good practices compared to the dentists with more experience. Conclusion: Majority of the dentists from Bangladesh have shown good knowledge, awareness, and practice regarding COVID-19. We recommend that the healthcare authorities, professional organizations, and hospitals coordinate, and conduct mandatory advanced infectious disease training for all the practicing dentists in the country. © 2021, Universidad de Concepcion. All rights reserved.
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Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration.
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In resource-constrained settings, High-Flow Nasal Cannula (HFNC) can reduce the burden on mechanical ventilation in COVID-19 induced Acute Hypoxemic Respiratory Failure (AHRF). The aim was to observe the factors those might affect the outcome of the usage of HFNC on severe/critically ill COVID-19 patients. This is a multicentric prospective observational study. We observed rRT-PCR positive severe/critically ill ICU patients requiring HFNC for more than six hours. Statistical analysis was done to correlate between factors and outcome. Weaning from HFNC was successful in 47.5% of patients. The death rate was higher in 50 years older (56.50%), and patients with asthma (60.57%), COPD (60.00%), and CKD (68.42%). Fever (91.67%), cough (72.5%), and dyspnea (67.5%) were the most common symptoms. Mortality rates were higher for patients with raised blood sugar, creatinine levels. Severely systemic inflammatory response was seen very high for the expired patients. On HFNC, percent saturation of oxygen (SpO2) and partial pressure of oxygen (PaO2) progression was significantly high for the surviving patients requiring less inspired fraction of oxygen (FiO2%). The survival rate was higher for the patients using both HFNC and non-rebreather mask (NRM) concomitantly. While after HFNC- SpO2% and FiO2% were significantly related with outcome of the HFNC only treated patients, duration of hospital stay and on HFNC- FiO2% affected the HFNC + NRM treated patients' outcome. HFNC could save more lives of critically ill AHRF patients who otherwise might need invasive or noninvasive ventilation. Some biochemical tests were observed to have association with the prognosis of the disease though HFNC was given to all. Survival benefit of dual HFNC and NRM therapy needs future study.
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The study provides medium-term estimates of recovery paths for Indian economy using a dynamic factor (DF)-based approach that employs data on high-frequency indicators à la Bhadury, Ghosh, and Kumar (2020). The DFs are used to analyze the post-pandemic recovery and convergence with its pre-COVID-19 trend for India between March 2021 and March 2022. A broad sectoral assessment of the impact of COVID-19 is also conducted. In addition, forward-looking measures based on stock returns are used to analyze the transmission of additional banking sector risks to the real sectors by constructing daily delta conditional value-at-risk (CoVaR) estimates. Our estimates based on the DFs suggest that the aggregate economic activities may catch up to the estimated pre-COVID trend by March 2021 predominantly driven by the growth in services sector. The industrial sector and consumer goods sector continue to show moderate signs of recovery. Our CoVaR estimates corroborate these findings. Banking sector transmission risk is among the lowest for services such as healthcare and information technology (IT), for both the lockdown period between March 25 and June 8, 2020, and for the latter months. The transmission risk continues to remain high for metal, oil and gas, and capital goods sector. Broadly, the evidence on forward-looking banking sector risk transmission for major sectors is in alignment with our finding on their recovery based on DF models, after easing of COVID-19 lockdown. © 2022 by Emerald Publishing Limited.
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INTRODUCTION: Coronavirus disease 2019 (COVID-19) can be associated with coagulopathy and a high incidence of thromboembolic events. These events were associated with worse clinical outcomes, especially in critically ill patients. Our study investigated the safety of full dose anticoagulation (AC), in ventilated, predominantly Black patients with COVID-19 infection. METHODS: This is a retrospective observational study based on a chart review of patients admitted to the University Hospital of Brooklyn in New York City from March 23rd through April 23rd, 2020. Inclusion criteria included age ≥ 18 years, confirmed COVID-19 infection, and need for mechanical ventilation. The variables collected included demographics, comorbidities, laboratory results, type of anticoagulation, and Sepsis- Induced Coagulopathy (SIC) score RESULTS: A total of 48 hospitalized patients met the inclusion criteria. 41 (85.4%) were Black, 26 (54%) were males, 22 (46%) were females, and the average age was 68 years. Average days on mechanical ventilation was 13.6 days. D-Dimer was elevated in all patients, with an average of 5.8 mcg/ml. Almost all patients (47/48) had elevated SIC score, defined as SIC score of 2 or above. AC agent used was Heparin in 13 patients (27.1%), low molecular weight heparin (LMWH) in 12 (25%), direct oral anticoagulants (DOAC) in 8 (16.7%), and multiple AC agents in 15 (31.3%). AC was stopped because of major bleed in 5 patients. Overall mortality was 62.5%. AC discontinuation was not associated with increased overall mortality (Pearson Chi-Square= 0.228;p=0.633) CONCLUSIONS: Our study showed that full dose anticoagulation was administered in high risk ICU patients with COVID-19 infection, and significantly elevated D-Dimer level and SIC score. Most patients received heparin or LMWH, or a combination of heparin products with transition to DOAC. However only 5 patients had a major bleed, that was not a significant contributor to overall mortality. Based on our results, administration of full dose anticoagulation in ventilated predominantly black patients with COVID-19 infection, was overall safe and well tolerated.
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We have developed a “Self Sanitizing Voice Controlled Intelligent Wheelchair.” The wheelchair will be totally voice controlled. There will be sanitizing system for both the wheelchair and the surrounding area. In Covid-19situation, maintaining social distance is very important. Keep this in mind we will add the alert system in the wheelchair. When any person will come very close to the wheelchair it will announce a voice alert. Also this wheelchair will climb the stair without anyone’s help. This wheelchair will be developed for the disabled person as well as for the Corona patient. The assistant of the disabled person or the disabled person can be Corona affected. As the wheelchair is voice controlled, it will not need someone to push the wheelchair. It will also helpful to carry the Corona patient, where the nurse or assistant can move the wheelchair by giving voice command from a safe distance. The wheelchair will have voice controlled sanitizing system where it will be able to sanitize itself and its surrounding area. After carrying the Corona patient this wheelchair can be sanitized without going near to it. Also this wheelchair will help to sanitize the patient’s room. So, before entering the patient’s room, by giving voice command the room can be sanitized. © 2021 Institute of Physics Publishing. All rights reserved.
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Copernicus Atmosphere Monitoring Service (CAMS) data are used to evaluate the impact of the lockdown (24 March-3 May 2020) on the concentrations of surface O-3, NOx, CO, SO2, PM and BC compared to those measured during the same period in 2015-2019 over northeast India and adjoining areas. Measurements made at Dibrugarh complements the CAMS observations. The NOx, NO2, CO, SO2, BC and PM concentrations dipped appreciably over northeast India and nearby countries. Similar decrement is observed in Dibrugarh in 2020 over their reference levels. Reduction of precursor gases triggered an increase in O-3 concentration across northeast India and adjoining South Asia and at Dibrugarh. The air quality over the region improved from moderate to satisfactory levels due to the lockdown.
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The extensive outbreak of COVID-19 has created a worldwide health crisis. Transmission of this disease occurs among people through droplets which causes severe respiratory distress and in turn can also lead to fatal death. At the pinnacle of this pandemic, scientists endeavor to discover the medication for the COVID-19 victims. Artificial Intelligence algorithms, especially, deep learning, on the other hand, is used for the diagnosis of the COVID-19 patients but this requires an enormous radiographic data set to effectively provide an optimized outcome for a particular scenario. This work presents a new technique called 'Deep Greedy Network' which will work efficiently with a finite number of datasets. In spite of peculiarity caused due to limited dataset, the anomaly of overfitting and underfitting could be effectively overcome using the proposed algorithm. This, in turn, is simultaneously going to be both cost-effective and efficient. The proposed architecture ensures the efficacious result after the proper judgement of the trained model on the given X-ray datasets of COVID-19 cases. © 2020 IEEE.
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Background: Corona Virus Disease-19 (CoVID-19) infection associated with AKI and ARDS results in a mortality of 80%. In AA population COVID 19 presentations and outcomes are worse. NIH and Interim WHO guidelines suggest against steroids use unless in the context of clinical trials. We conducted a retrospective analysis on the impact of 2 different doses of IV steroids in AA adult population. Methods: 75 patients between March 1 and April 30, 2020 were enrolled. Primary outcomes (21-day mortality) and secondary outcomes (improvement in lung function and renal function) were analyzed. Comparisons between the steroid doses (methylprednisolone 1 mg/kg/day or 2 mg/kg/day) and no-steroid groups were performed with the Wilcoxon, Kruskal-Wallis, and Chi-Square tests. Factors affecting the recovery of AKI or ARDS were analyzed. AKI recovery was defined as 50% increase of GFR, and cessation of RRT;lung function recovery was defined as improved oxygenation by P/F ratio > 200 and extubation. Results: 38 out 75 patients received steroids. Survival in the steroids group reached 73% at 21 days compared to 36% in the non-steroids group (p<0.0006). Steroids improved the likelihood of renal function improvement by 300% (p=0.06). Lung functionwas 73% in the steroids group versus 45% in the other (p=0.01). Use of anticoagulants (16% vs 51%, p= 0.001) seemed to be interacting with steroids on outcomes. Low dose steroids had the most beneficial impact. Conclusions: In patients with COVID-19 infection and ARDS with AKI, low dose IV methylprednisolone was associated with a significantly lower incidence of mortality and higher likelihood of renal and lung function recovery. Further investigation with a randomized control trial consisting of low dose steroids seems warranted. (Figure Presented).