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Telemedicine is a modality which utilizes technology to provide and support health care across large distances. It has redefined the practices of medicine in many specialties and continues to be a boon for clinicians on many frontiers. Its role in the branch of anesthesia remains largely unexplored but has shown to be beneficial in all the three phases: pre-operative, intra-operative, and post-operative. Now time has come that anesthesiologists across the globe reassess their strategies and utilize the telemedicine facilities in the field of anesthesia.Copyright © 2021 EDP Sciences. All rights reserved.
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Purpose: The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work. Design/methodology/approach: This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh. Findings: This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system. Originality/value: The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education. © 2023, Emerald Publishing Limited.
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The death t toll of the coronavirus disease 2019 (COVID-19) has been considerable. Several risk factors have been linked to mortality due to COVID-19 in hospitals. This study aimed to describe the clinical characteristics of patients who either died from COVID-19 at Dhaka Medical College Hospital in Bangladesh. In this retrospective study, we reviewed the hospital records of patients who died or recovered and tested positive for COVID-19 from May 3 to August 31, 2020. All patients who died during the study period were included in the analysis. A comparison group of patients who survived COVID-19 at the same hospital during the same period was systematically sampled. All available information was retrieved from the records, including demographic, clinical, and laboratory variables. Of the 3115 patients with confirmed COVID-19 during the study period, 282 died.The mean age of patients who died was higher than that of those who survived (56.7 vs 52.6 years). Approximately three-fourths of deceased patients were male. History of smoking (risk ratio 2.3;95% confidence interval: 1.6-3.4), comorbidities (risk ratio: 1.5;95% confidence interal:1.1-2.1), chronic kidney disease (risk ratio: 3.2;95% confidence interval: 1.7-6.25), and ischemic heart disease (risk ratio:1.8;95% confidence interval: 1.1-2.9) were higher among the deceased than among those who survived. Mean C-reactive protein and D-dimer levels [mean (interquartile range), 34 (21-56) vs. 24 (12-48);and D-dimer [1.43 (1-2.4) vs. 0.8 (0.44-1.55)] were higher among those who died than among those who recovered. Older age, male sex, rural residence, history of smoking, and chronic kidney disease were found to be important predictors of mortality. Early hospitalization should be considered for patients with COVID-19 who are older, male, and have chronic kidney disease. Rapid referral to tertiary care facilities is necessary for high-risk patients in rural settings.Copyright © 2023 Hoque MM.
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Objective: This study examined the characteristics and quality of publicly available COVID-19 information education and communication (IEC) materials in India between March and December 2020. Design: An explanatory sequential mixed-method design was employed to examine the characteristics and quality of 265 purposefully selected IEC materials. Setting: The IEC materials analysed were those published between March and December 2020 on the Ministry of Health and Family Welfare website, Government of India. Methods: A checklist was utilised to examine the quality and characteristics of the materials. Thereafter, qualitative analysis provided insights into the contents of the materials with specific focus on the ‘COVID-19 continuum of care'. Results: The majority (73.96%, n = 196) of the selected materials were directed towards the general public and had a focus on prevention (67.55 %, n = 179). Despite COVID-19-associated stigma, only 56 (21.13%) of the materials addressed this issue. However, most (95.47%, n = 253) of the materials adhered to quality standards for contents, readability and aesthetics. This qualitative analysis focused on the contents of selected IEC materials using the concept of ‘continuum of care'. The analysis identified three important themes: prevention to early diagnosis and treatment;mitigation of stigma and discrimination surrounding COVID-19;and addressing the infodemic caused by COVID-19. Conclusion: The quality of materials was mostly satisfactory and appropriate to the emergent requirements. Strengthening audience engagement and attractiveness of the materials might enhance readability and actionability. A bottom–up approach to the development of future IEC materials, involving the community might widen the coverage of vulnerable populations in future crisis events. © The Author(s) 2023.
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Since the major COVID-19 pandemic hit the world, using face masks has become an important part of our daily lives. Not wearing masks for a moment when out¬side can be a life-threatening mistake. But the mask covers the lower portion of the face region. So we were not able to extract important features from the lower region. That is why in this paper, an efficient face recognition scheme has been presented by integrating discrete curvelet transform (DCT), compressive sensing (CS), and principal component analysis (PCA) to improve the face recognition rate of masked faces. The use of discrete curvelet transform (DCT) provides an enhancement of edge information of face images by applying an image fusion technique. To extract the feature vector in lower dimensional feature space, PCA has been applied on the fused images. Finally, the performance of this proposed technique is tested by using compressive sensing-based classifier. Extensive exper¬iments are simulated on masked and unmasked faces, and our method performs better than the conventional PCA. © 2023 Scrivener Publishing LLC. All rights reserved.
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As the healthcare response to the COVID-19 pandemic continues, providing enhanced protection to frontline healthcare personnel exposed to aerosolized infectious material is essential. The rapid spread of the COVID-19 virus across the globe in early 2020 generated an overwhelming surge in demand for effective personal protective equipment (PPE), in particular, passive personal respirators (PPR). Global manufacturing of PPR was limited, and research and development of improved respirators were restricted by the availability of accredited laboratories for timely testing at the peak of the pandemic. The authors have described a clinical method of safety and efficacy testing of a new PPR, the TopBioShield, using portable capnography for the measurement of end-tidal pCO2 (ETCO2) and bedside pulse oximetry to measure oxygen saturation (SpO2), respiratory rate (RR), and heart rate (HR) in healthy volunteers to overcome shortages of clinical testing capabilities during the height of the pandemic. Twenty-eight volunteers with a median age of 41 years (range 16–71) representing all 10 subgroups of head/face size were included. Only one participant asked to withdraw due to a feeling of claustrophobia after 30 min. Clinical monitoring while wearing TopBioShield revealed ETCO2, SpO2, respiratory rate, and heart rate measurements were within normal limits in all the subjects throughout the experiment. Bedside clinical monitoring is effective in demonstrating the physiological safety of PPR and is an important alternative to conventional mannequin testing. In this study all measured values over a 90-min experiment period were within normal limits, demonstrating the effectiveness of TopBioShield in preventing CO2 retention. Clinical testing methods must adhere to the highest standards and are essential during times of shortage. © 2023, The Institution of Engineers (India).
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Learning outcomes: After the case discussion in class, the audience is expected to:▪ Apply the use of management tools in identifying core competencies in the sustenance and growth of a venture.▪ Evaluate the sustainability of the core competencies using relevant tools and frameworks.▪ Assess using relevant criteria whether firms should diversify or not? Case overview/synopsis: The case highlights the experience and obstacles encountered by a Kazakh entrepreneur, Moldakhmetova, who is exploring her long-term business continuity choices. Moldakhmetova ran her own tailoring business, which focused mostly on designing and creating national costumes worn at weddings and concerts. However, she was confronted with a number of obstacles pertaining to the long-term viability of her enterprise, especially with the commencement of the Covid pandemic. The volume of national costume sales was affected by the declaration of the lockdown and restrictions on concerts and celebrations. As the lockdown lifted and orders started to pour in, Moldakhmetova pondered the long-term viability of her business venture. In addition, the availability of inexpensive ready-made Moldakhemetova costumes in Almaty (one of the major cities) made her question whether or not they were her competitors. Thus, Atlas contemplated many choices as potential answers to the question of the enterprise's long-term viability. She was currently faced with the dilemma of selecting the most feasible solution from the possibilities she had identified. Complexity academic level: BBA and MBA programs. Supplementary materials: Teaching notes are available for educators only. Students are recommended to watch the video about the Kazakh folk style of clothing at: https://www.youtube.com/watch?v=ddVzrUeSn64 (25 minutes). Students can watch the following video about specific embroidery styles applied in Kazakh national clothing at: https://www.youtube.com/watch?v=wB0XJE09N9w (first 10 minutes of video). The case could be used in online teaching via the Padlet platform. Subject Code: CSS: 11: Strategy. © 2022, Emerald Publishing Limited.
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INTRODUCTION: The COVID-19 mandated lockdown created unintended outcomes in traumatic injury patterns and psychosocial behaviors compared to previous years during the same timeframe. The aim of this research is to describe a population of trauma patients during the past five years to determine particular trends in ETOH levels. METHOD(S): A retrospective cohort study on prospectively collected trauma registry data of all adult (>=18 years) trauma patients admitted to this ACS verified Level I trauma center in South Carolina, inclusive years 2017 to 2021. The data was grouped based upon the COVID-19 lockdown period, which included a time between March 15 to May 22. The five groups were compared based upon ETOH levels, patient demographics, injury patterns, morbidity, mortality, and comorbidity. Continuous variables were compared using the Kruska-Wallis test, whereas categorical variables were compared using Pearson's chi-square test of proportions, as appropriate in R software. RESULT(S): A total of 3281 adult trauma patients were included in the analysis during the lockdown periodacross five years. The ETOH mg/dL trend was in decline with a mean 138 mg/dL in 2019;however, began to significantly climb during 2020 (Mean = 164 mg/dL) and 2021 (Mean = 169 mg/dL;p < 0.01). The trauma population during the 2020 group was likely full activations (p < 0.01) with penetrating injuries (p < 0.01) who received a massive transfusion (p < 0.01). The 2020 group typically had a longer ICU length of stay (Mean = 1.77 days;p < 0.01), and longer ventilation days (Mean 0.72;p = 0.02). CONCLUSION(S): Excess alcohol consumption particularly during a pandemic year and beyond may lead to a higher incidence in trauma severity, such as penetrating injuries needing massive transfusions. The psychosocial impacts of government-mandated lockdowns may lead to increased alcohol consumption leading to a higher degree of severity and morbidity markers in the trauma population in South Carolina.
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Introduction: The COVID-19 pandemic has been a major public health concern throughout the world. Various ventures of vaccine candidates are being studied rigorously in this regard and one such candidate is the receptor binding domain (RBD) of spike protein which interacts with angiotensin converting enzyme 2 (ACE2) on the host cell's membrane. Exploiting this interaction, many scientists across the world attempted to develop mRNA vaccine against SARSCoV- 2. A major lacuna associated with mRNA vaccines is their delivery through a suitable carrier, especially given the stability issues associated with mRNA vaccines. Aims & Objectives: The aim of our research is to develop an efficient mode of delivery of the self-amplifying mRNA (saRNA) against COVID 19. We have developed small vesicles from erythrocyte ghosts, known as nanoerythrosomes, which are in the nanometre range and focussed on development of nanoerythrosomes for delivery of mRNA-based vaccines. Material(s) and Method(s): Nanoerythrosomes were prepared from erythrocytes using osmotic and ultrasonic frequency stress and loaded with saRNA vaccine candidate. Thereafter, the nanoerythrosomes were characterized using Dynamic Light Scattering (DLS) and Transmission Electron Microscopy (TEM) to confirm their homogeneity, integrity and size. The mRNA loaded nanoerythrosomes were used to deliver the mRNA in Vero E6 cells to evaluate its uptake. Result(s): The characterization of nanoerythrosomes using DLS and TEM revealed their size in the range of 100-200 nm. The delivery mediated by nanoerythrosomes was comparable to the Lipofectamine mediated uptake of saRNA indicating the excellent delivery efficacy of nanoerythrosomes. The added advantage of nanoerythrosomes mediated delivery is that they are rapidly taken up from blood by macrophages of the reticuloendothelial system (RES) that is present in liver, lung, and spleen. Thus the combination of saRNA and nanoerythrosomes can accelerate the uptake and antigen presentation in reticuloendothelial system and will provide an outstanding platform for the development of SARS-CoV2 vaccine. Conclusion(s): We developed a new approach to deliver mRNA vaccine candidates using nanoerythrosomes and successfully demonstrate its efficacy in vitro. This strategy can be further extended for the delivery of other vaccine candidates. (Figure Presented).
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Background: The word asphyxia is of Greek derivation and means "a stopping of the pulse". Any death is asphyxial in nature. But forensic pathology understands asphyxia as the interference with the exchange of oxygen and carbon dioxide in the body. Hanging and strangulation constitute asphyxia by compressing vital structures within the neck. Hanging is one of the ten leading causes of death in the world accounting for more than a million deaths annually. In India, hanging is one of the common methods of committing suicide. 2021 NCRB report also depicts the alarming rate of increase of suicide in the country. Over the past 30 years specially during and after the COVID-era the incidence of suicide by hanging is on increase, especially among young adults. 2021 NCRB report also depicts the alarming rate of increase of suicide in the country. Material(s) and Method(s): A cross-sectional study was conducted following the complete enumeration method over the body of deceased died due to hanging and came for medico-legal autopsy in Burdwan police morgue of West Bengal with specific Inclusion and Exclusion criteria. Study done on total 129 (N= 129) bodies of hanging cases Detailed information regarding the deceased, circumstances of death, its different sociodemographic parameters hanging were collected from the inquest, investigating officer and relatives. Result(s): Results showed that most of the victims of hanging were males. Highest incidence was in the age group of 21 to 30 years. Most of the victims were Hindus by faith. Conclusion(s): In Covid and Post-Covid era number of hanging cases has been increased mostly due to familial and socio-economical constrains. Copyright © 2022 Ubiquity Press. All rights reserved.
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In this paper, a novel framework is introduced by combining compressive sensing(CS) theory, digital curvelet transform, and Principal Component Analysis to improve the performance of face recognition method. CS is a highly attractive approach in the field of signal processing, which provides an efficient way of data sampling at a lower rate than the Nyquist sampling rate. CS offers numerous advantages, like less memory storage, less power consumption and higher data transmission rate etc. Here, CS is used on the face images, which offers reduction in storage space and computational time. The use of curvelet transform provides dual benefits: (i) sparse representation (ii) improvement on detailed content. To extract the feature vector, the Principal Component Analysis is then applied. The Performance of the proposed face recognition method is computed by applying cross-validation technique, compressive sensing based classifier, neural network, Naive Bayes and Support Vector Machine classifier. The proposed technique can efficiently perform the face recognition, at a low computational cost. Extensive experiments, on ORL and AR face databases, are conducted to validate our claim. The proposed technique also recognizes face images more efficiently than the traditional PCA, with a 1.5% higher recognition rate, if a person wears a face mask, as protection from COVID-19
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Introduction: COVID-19 has now become a pandemic. It has spread from Wuhan, China in 2019 to all over the world. The outbreak and spread of Severe Acute Respiratory Illness related to COVID-19 has let to global health and economic crisis. Aim : The present study was done to understand the clinical epidemiological and laboratory characteristics of COVID-19 patients that could give an insight of the disease and help in evolving management strategies in terms of diagnosis, isolation and prevention of further spread. Methodology : This is a descriptive cross sectional study of COVID-19 patients admitted in 2 COVID care centres from 1-6-2020 t o 31-7-2020. The patients were diagnosed with RT-PCR. Demographic clinical and laboratory data were collected. Presence of fear, awareness, emotional and financial impact was interrogated. Results : There was a male preponderance with the disease mainly infecting adolescent and younger adults. There was positive correlation of the disease exposure with travel history, occupation and, disease severity with co-morbidities, vaccination and leucocyte counts. Extra pulmonary symptoms like anosmia, diarrhoea, myalgia and also predominance of fear emotion and financial insecurity were present among the study subjects. Conclusion : Active targeted surveillance among elderly and those with comorbidities for early detection and avoiding COVID-19 complications, adequate awareness in public and workplace with proper SOP (standard operating procedure), early isolation with medications for suspected patients with extra pulmonary symptoms and total counts based on clinical epidemiological guidance even before arrival of COVID-19 reports should be done Addressing the psychological aspects of the disease with due equality.
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Background: Thyroid storm is an acute, potentially fatal complication of hyperthyroidism, usually manifested with tachycardia, hyperthermia, and altered mental status. Despite medical advancements, the mortality associated with thyroid storms remained 5% to 25%. Previously, cases of thyroiditis following COVID-19 infection have been reported. But the manifestation of COVID-19 infection as a thyroid storm is infrequent, and less than 5 cases have been reported to date. Case: A 72-year-old female with a remote history of breast cancer status post-mastectomy presented to the emergency department with the chief complaint of shortness of breath. She was found to have a history of fever eight days before the presentation;she was also complaining of non-productive cough, non-bloody, and non- bilious vomiting, myalgia, and fatigue. Home Covid Test was positive. On the day of the presentation, she received Regeneron infusion (casirivimab and imdevimab) and was discharged home. After a few hours, she represented to the hospital with chills and worsening of shortness of breath. She was found to be hypoxic on the presentation, was started on O2 supply, and transferred to the ICU. She received IV dexamethasone 6 mg and IV Remdesivir 200 mg on the first day, followed by 100mg for the next four days. On the fourth day following admission, she developed Atrial Fibrillation with a rapid ventricular response. The patient was somnolent and had loose bowel movements. Thyroid function tests were ordered;TSH was 0.02 and free T4 of 2.9. She stated she was never diagnosed with a thyroid disorder in the past. Thyroid function tests were ordered, which are mentioned in the table below. A thyroid-stimulating antibody assay was ordered to rule out Graves thyrotoxicosis, which turned out to be normal. Ultrasound of the thyroid gland didn't reveal any abnormalities. Conclusion: Although most patients remain euthyroid during COVID-19 infection, some may have shown transient thyroid derangements during the illness, which later turns out to be normal. Our case shows that a clinician should not take the thyroid derangements in COVID-19 lightly, as they can be the early signs of an impending thyroid storm. Our case guides the clinician to evaluate the thyroid function as soon as possible in any signs of overt hyperthyroidism. Due to the high mortality associated with thyroid storm, a clinician should have a high index of suspicion to diagnose the storm, such as in our case where other signs of hyperthyroidism are absent. Early treatment of thyroid storms becomes necessary to mitigate the mortality in such cases.Presentation: Saturday, June 11, 2022 1:00 p.m. - 3:00 p.m.
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"With the progress of telecommunications and capabilities of technological gadgets, a sea change has arrived in the consumer behaviour of Indians especially with regard to media products. The COVID 19 and the ensuing lockdown have made consumers eager regarding ""Over The Top"" (OTT) players. This eagerness has led to a battle between different OTT players to get a slice of the consumer's wallet. This paper has attempted to study student study consumer behavior in OTT space with special emphasis on the Indian state of West Bengal. It has tried to delve into different OTT features, their impact on student consumer behaviour and their willingness to consume OTT products.With the pandemic still looming on our planet, it can be hoped that this paper will be a reflector for OTT players to understand West Bengal's student consumer behaviour in a better manner. Copyright © 2022, Anka Publishers. All rights reserved."
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Due to the emergence of IoT-cloud based infrastructure and the wide availability of smart handheld devices, a novel group of societal applications is coming up. Most of these applications are data intensive and consumer driven. Machine learning and deep learning techniques fuelled the success of such applications in making a better-connected society. The recent pandemic caused by COVID-19 further emphasizes the need for such applications not only to the healthcare domain but also for fitness tracking, entertainment and many other domains. These applications heavily rely on the cloud infrastructure for providing sophisticated user experience. So, the presentation will cover a comprehensive view of this group of societal applications and the research challenges associated to it along with the implementation aspects. The discussion will revolve around three representative research directions-overview of machine learning and deep learning techniques used in this field, challenges and solutions of smartphone and wearable sensing data, and case studies on health monitoring and indoor localization. The presentation will conclude with a discussion on the open research issues in this area. © 2022 Owner/Author.
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Deadly COVID-19 viruses have raised a pandemic situation in the year 2019, causing serious and contagious respiratory infections in humans. SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) is the main causative agent for this disease outbreak. The pandemic created a critical impact on the global economy. The emergence of SARS-CoV-2 in late 2019 was followed by a period of relative evolutionary stasis that lasted about 11 months. Since, late 2020, SARS-CoV-2 evolution has been characterized by the emergence of sets of mutations. This resulted so far, in over 2.7 million deaths and near about 122 million infection cases. Most mutations in the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) genome are either deleterious and swiftly purged or relatively neutral. As far as the concern is the variants it impacts the virus characteristics, including antigenicity and transmissibility in response to the modification of the human immune profile. In recent days, COVID-19 affected cases are rapidly increasing and it became difficult to inhibit this virus as they are continuously mutated in the host cell forming various new strains like B.1.1.7, B.1.351, P.1, P.2, B.1.1.529, etc. These monitoring, surveillance of variation, and sequencing efforts within the SARS-CoV-2 genome enabled the rapid identification of the first some of Variants of Concern (VOCs) in late 2020, where genome changes became the most observable impact on virus biology and disease transmission. In this review article, we tried to focus and spot the light on the genetic diversification of various strains, their nature, similarities and dissimilarities, mechanism of action, and the prophylactic interventions which could prevent this life-threatening disease in the long run.
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Transmission of coronavirus disease 2019 (COVID-19) is attributed to direct or indirect unguarded contact with infected subjects or inanimate objects. Currently only supportive treatment is available and disease-specific medication or vaccines are yet to be implemented. In such a critical situation, the only choice left is to control the rapid dissemination of the disease through government-enforced strategies and self-imposed precautionary measures across all the afflicted countries around the world. In this chapter, we have appraised in detail the different nonpharmaceutical interventions adapted by government, common people, and health workers to prevent disease spread from one person to another and from one place to another. © 2022 Elsevier Inc. All rights reserved.
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The use of Artificial Intelligence (AI) in combination with Internet of Things (IoT) drastically reduces the need to test the COVID samples manually, saving not only time but money and ultimately lives. In this paper, the authors have proposed a novel methodology to identify the COVID-19 patients with an annotated stage to enable the medical staff to manually activate a geo-fence around the subject thus ensuring early detection and isolation. The use of radiography images with pathology data used for COVID-19 identification forms the first-ever contribution by any research group globally. The novelty lies in the correct stage classification of COVID-19 subjects as well. The present analysis would bring this AI Model on the edge to make the facility an IoT-enabled unit. The developed system has been compared and extensively verified thoroughly with those of clinical observations. The significance of radiography imaging for detecting and identification of COVID-19 subjects with severity score tag for stage classification is mathematically established. In a Nutshell, this entire algorithmic workflow can be used not only for predictive analytics but also for prescriptive analytics to complete the entire pipeline from the diagnostic viewpoint of a doctor. As a matter of fact, the authors have used a supervised based learning approach aided by a multiple hypothesis based decision fusion based technique to increase the overall system’s accuracy and prediction. The end to end value chain has been put under an IoT based ecosystem to leverage the combined power of AI and IoT to not only detect but also to isolate the coronavirus affected individuals. To emphasize further, the developed AI model predicts the respective categories of a coronavirus affected patients and the IoT system helps the point of care facilities to isolate and prescribe the need of hospitalization for the COVID patients © 2021. the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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High temperature can be a symptom of various critical and semi-critical diseases. In the present COVID-19 pandemic, the demand for non contact based body temperature measurement devices are quite high. However, such devices are not only costlier than their contact based counterparts, but also their accuracy greatly depends on the distance and the location of the subject from the sensor (usually within 2–4 cm). To increase the accuracy of the measurement, researchers usually couple an ultrasonic sensor that can measure the distance of the object and instruct the sensor to take the reading only when the object is within the acceptable distance. However, the measurement of distance by the ultrasonic sensor depends on various aspects such as the impurities (such as sweat), location of the measurement area (forehead, hand etc.)and the initial distance. To overcome these limitations, the present work designed a low cost working prototype based on Arduino together with MLX90614ESF infrared temperature sensor and HC-SR04 ultrasonic sensor with an automatic distance correction mechanism for improved accuracy in temperature measurement. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Mucormycosis is an infection that occurs due to the presence of filamentous molds. Rhizopus delemar is a major cause of mucormycosis. The infection may be due to the inoculation of spores into wounds, inhalation of the spores, or the consumption of contaminated food. Mucormycosis cases have risen during the second wave of COVID-19 infections in India. Therefore, there is an urgent requirement for a vaccine against mucormycosis. The development of these vaccines is costly and time-consuming. Different methods have been used to decrease the expense and duration of time required for the development of a vaccine. One such method is the use of bioinformatics techniques for the development of vaccines. In this paper, the screening of epitopes through the bioinformatic tools predicts that the RO3G_11882 protein of Rhizopus delemar can be used for preparing immunological constructs. Binding and molecular simulation tests predict that the nanomeric epitope VLALHNFLL has low energy minimization values which provide stability to the peptide-MHC complex and sufficient binding with MHC class II molecules. This peptide sequence needs to further go through wet lab tests, for developing a vaccine against Mucormycosis. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.