Tourism in Bihar post COVID-19 Pandemic: Resilience and Recovery Plans

In the 21st century, tourism has arisen as the heart and soul of societies, communities and nations across the globe, for the plethora of benefits it carries for the host societies and markets. It has thus, established itself as an endeavor of immense importance facilitating enriched connections, interactions, and transactions at global as well as local levels. However, the coin of tourism has a flip side to it as well, for it has also proved to be a potential catalyst in facilitating the undue spread of coronavirus through the people carrying it, knowingly or unknowingly. Such incidences have led to the generation of stigmatising attitudes towards those who are considered to be the potential carriers of it to varied geographical regions. Stigma is the practice of derogation, exclusion, and avoidance of people deemed dangerous to the affective dynamics of public health and well-being and/or social interactions. Engrossing with the view of social vis-à-vis spatial stigmatisation at tourist destinations. This paper aimed to explore and discuss the notion and consequences of apparent stigma, based on secondary evidence collected from various sources, the perceived condition of tourism in Bihar after the homecoming of people (who are apprehended to be the fomicides of COVID-19). It also seeks to explore the likely consequential effects the tourism industry of Bihar might have to bear in the present state of pestilence, and the challenges that the region would have to overcome in order to re-establish its position in the tourism sector. ©Copyright IJHTS.

Online Education and Its Repercussions on Engineering Students During Covid-19: A Survey

The spread of Coronavirus pandemic and the resulting lockdown has significantly disrupted every facet of human life including education. The education system has never thought of such an unprecedented situation and thus, it had caused a colossal disparity within it. More than 1.2 billion children were out of the classroom, in India almost 32 crore learners stopped going to educational institutions. In India the online learning has many concerns like awareness, its effectiveness, stable internet connectivity, electricity supply, required devices etc. In this study we are trying to address such queries, constraints and to analyse impacts of COVID-19 on the students by understanding their opinion, inclinations and their mental health via an online survey of 399 engineering students in two institutions of Raipur, Chhattisgarh, India. Our results revealed that smartphone is the most popular device since 88.97% used it whereas mobile GPRS is the first choice for the Internet connectivity since 75.18% respondents used it. © 2023, Rajarambapu Institute Of Technology. All rights reserved.

Role and Usage of Social Media in COVID-19 : An Analysis of Vaccination- Related Conspiracy Theories

There are various misconceptions related to COVID-19 and the vaccine. This study attempts to identify the role of social media in spreading the misinformation related to COVID-19 and vaccination. This study will help the agencies to identify the categories of misconceptions and the vaccination -related conspiracy theories dispersed in social media. In the analysis, seven clusters were found, and the concept map presents seven general misconceptions categories;similarly, six subcategories under vaccination-related conspiracy theories were found. This study concludes that vaccination -related misconception circulated in social media is a serious issue that could affect the vaccination rate severely. Hence, a multipronged tactic should be adopted having the components of counter -information strategy, sharing information from authentic sources, educating the general population to go for rigorous review of the information, and improving the health literacy level.

Collaboration Strategies for Private COVID-19 Vaccine Supply Chain Under Demand Uncertainty: An Indian Perspective

In 2020, the COVD-19 pandemic emerged as the most severe crisis of the century. Several vaccine manufacturing firms have taken the necessary initiatives to combat this problem. However, profitability issues can bring down these firms' vaccine manufacturing efforts, thus leading to lower vaccination coverage. Motivated by this issue, we depict a private COVID-19 vaccine supply chain with a supply chain framework comprising of one vaccine manufacturer and multiple private hospitals under demand uncertainty. We incorporate a Stackelberg game-theoretic approach to demonstrate the collaboration between the vaccine manufacturer and the private hospital using wholesale price, two-part tariff and revenue sharing contracts. We determine the optimal number of vaccines and coordination criteria for each contract. Using a real-life approximation of Indian data, we conduct several numerical studies and facilitate the visual depiction of all the theoretical insights obtained from the model. We also discuss the managerial implications of this study. As per our analysis, when private hospitals procure a higher number of vaccines from the vaccine manufacturer, the two-part tariff contract-based collaboration mechanism yields a win-win situation for both the private hospitals and the vaccine manufacturer and is better than the wholesale price contract.

Nanosponges: Advancement in Nanotherapeutics

The emergence of nanotechnology paves the way for improving disease therapy strategies. An investigation into the progression of the release of the medication targeting the specified predetermined location is a significant factor to consider. Due to the ability to advance existing products and to develop new products in a variety of applications, the nanotechnology industry is considered an evolving technology. Cyclodextrin-based porous nanoparticles or unique nano-sponges (NSs) which have recently been used in the pharmaceutical, biomedical, and cosmetic industries are the main elements of this growth. This superior technology can circumvent the defects of current techniques by its ability to attack and visualize tumour sites. A biodegradable and biocompatible feature along with a built-in high surface area resulting in enormous amounts of drug loading and biomimetic design, and the ability to control nanoparticles size are just a handful of good attractive attributes that find this technique as an overwhelming advantage in the field of nanomedicine. This review article is organized such that we first explored the unique features of these nanosponges and the diverse methods for synthesizing, followed by the drug loading and release principle and application based on drug delivery, targeting, boosting solubility of BCS Class II and IV drugs, others in biomedicine and more. Finally, the recent progress on the use of biomimetic nanosponge as a pandemic tool due to the SARS-CoV-2 virus briefly comes into line. Copyright © RJPT All right reserved.

Arterio-Venous Fistula Creation by Nephrologists and Its Outcome in a Tertiary Level Hospital over Two Years Including Covid-19 Pandemic Period

BACKGROUND: Currently, AVFs are created by vascular surgeons urologists and nephrologists. Nephrologists may be better placed to create AVFs and conduct follow-up as they re well versed with the usage of AVF. AIM OF THE STUDY: This observational prospective study aims to find the outcome of AVFs created by nephrologists over two years in a tertiary level hospital. METHOD(S): All the patients in whom an AVF was created by nephrologists between March 2020 and August 2022 were included. On the day of surgery vitals were recorded and vein mapping was done. Side-to-side anastomosis with 6-0 proline between artery and vein were performed under local anesthesia in a single sitting. Patients were observed for post-op complications. During the COVID-19 pandemic, RT PCR was only performed in suspected in suspected patients indentified during screening. All patients staff and surgeons wore N-95 masks in addition to usual sterile measures. Patients were followed up at 6th week and 12th week post-AVF construction to do clinical examination and evaluate blood flow diameter of AVF by high-quality Doppler. Patients were asked to use AVF for dialysis after 6th week of creation after they have matured. AVF maturation was defined radiologically as a combination of blood flow of 600 ml/min and diameter of 6 mm or more and clinically usable. Else it was considered immature. Primary failure was defined as AVFs that had not matured till 12th week of creation. All the data were analyzed by appropriate statistical tools using the SPSS software RESULTS: A total of 1323 fistulae (including 376 during COVID-19 pandemic) were created in 1102 patients. Of them 928 (84.21%) were males, and 537 (48.72%) of the patients were having underlying diabetes mellitus. A total of 1008 (76.19%) were radio-cephalic while 262 (19.8%), 19 (1.43%) were brachio-cephalic, and brachio-basilic respectively. 1013 (76.56%) fistulae were left sided. 944 (85.66%) were already on hemodialysis while 158 (14.33%) were planned for elective initiation after fistula maturation. Of the 1102 patients, 150 patients required fistula creation twice, 17 patients thrice, and 4 patients underwent fistula creation four times. Out of 556 (50.45%) patients who completed three months follow-up, 65 patients (11.69%) expired. Primary failure was observed in 107 (19.21%) fistulae and 24 (4.30%) patients developed local site infection. 8 (1.43%) and 4 (0.71%) patients developed fistula rupture and aneurysms respectively requiring admission for AVF closure. Mean AVF blood flow and diameter were 674.92 +/- 317.40 and 5.42 +/- 1.33 at 6th week and 983.60 +/- 289.41 and 9.36 +/- 54.58 at 12th week respectively. During the COVID-19 pandemic, out of 376, 15 (7.1%) patients were found to be COVID-19 positive during follow-up, and only 2 out of 18 staff and 4 nephrologists were found to COVID-19 positive. CONCLUSION(S): Nephrologists are well positioned to create AVFs successfully. However, collaboration with vascular surgeons and radiologists will further improve the success rate and management of complications. AVF creation is safe during pandemics and should be continued.

Upsurge in biomedical waste due to COVID-19 in India: A statistical correlation, challenges and recommendations

Proper management of Biomedical Waste (BMW) is an essential component of any sustainable healthcare sector. With the burst of COVID-19 pandemic when every hospital and treatment facility was overburdened patients, efficient handling of the huge amount of generated BMW became a task for the entire world. This review compares the BMW generated before and during the second wave of COVID-19, highlights the challenges in managing the exuberated amount of COVID-19 waste and sites recommendations to promote sustainable design thinking, in order to address this grave concern in the current setting of the Indian system. The study indicated that inappropriate management of waste and the lacunae in the entire chain from segregation to collection until its disposal has posed a serious threat to the wellbeing of healthcare workers, sanitation staff as well as the operators and housekeeping staff at the hospitals, isolation centers and Municipal Corporation. Many states had inadequate number of common BMW treatment facilities (CBMWTFs) leading to inefficient treatment of the excess waste. The behavioural and attitudinal barriers of neglect and ignorance of different stakeholders further aggravated the problem of BMW management to manifolds. To achieve better management we recommend spreading awareness regarding the kind and infectious nature of waste generated by COVID-19 patients and their caregivers, segregation and decontamination of such waste at source and increasing the capacity as well as number of CBMWTFs. Creative ways to recycle the waste must be devised so as to reduce the burden on disposal sites.

Differential innate immune response and replication of SARS-CoV-2 in human diabetic corneal epithelial cells

Purpose : Diabetes predisposes an individual to severe COVID-19. Diabetic cornea is also known to have impaired wound healing, increasing the chances of infection. Earlier, we reported the ability of SARS-CoV-2 to infect conjunctival cells, and the presence of viral RNA and proteins was also detected in the corneas of COVID-19 donors. In this study, we evaluated the effect of diabetes on corneal innate immune response during SARS-CoV-2 infection and sought to determine the underlying mechanisms. Methods : Human primary corneolimbal epithelial cells (HCECs) were isolated from the corneas of three diabetic and three non-diabetic donors. In vitro studies were performed by infecting HCECs with SARS-CoV-2-USA-WA1/2020 strain at MOI 0.5. Viral replication was assessed by viral genome copy number. RNAseq analysis was performed to determine genes/pathways altered by diabetic vs non-diabetic HCECs. qPCR was used to assess the expression of innate inflammatory and antiviral genes. Western blot was performed to detect the protein expression of antiviral signaling molecules. Results : The primary HCECs were found permissive to SARS-CoV-2 infection, as evidenced by increased viral replication which peaked at day 3 p.i. along with an induction of pSTAT1. Interestingly, HCECs from diabetic cornea had higher viral RNA on all three days post-infection. SARS-CoV-2 infected HCECs exhibited induced expression of inflammatory genes and their levels were relatively higher in diabetic cells. RNA-seq analysis revealed significant differences in diabetic vs. non-diabetic SARS-CoV-2 infected cells with alteration in genes regulating viral response, inflammation, and injury. The most affected down-regulated genes are related to lipid metabolism, ferroptosis, and oxidative stress. Conclusions : Our study demonstrates increased SARS-CoV-2 replication and differential innate antiviral and inflammatory response in HCECs from diabetic corneas. These results indicate that diabetes is a potential risk for enhanced infectivity of SARS-CoV-2 for the ocular surface.

Transfer Learning for COVID-19 and Pneumonia Detection using Chest X-Rays

Chest X-rays (CXR) images are a useful noninvasive diagnostic tool for assessing various lung diseases. In this paper, we propose transfer learning with a fine-tuning-based model to detect and classify COVID-19 and pneumonia using CXR images to assist the radiologist with diagnosis. One of the difficulties with the medical imaging classification is the limited number of available datasets, and hence training a deep Convolutional Neural Network (CNN) model for medical image classification on a small dataset is challenging. We address this issue by exploiting transfer learning via fine-tuning. In this paper, we use a pre-trained deep CNN model and then fine-tune the layers of the neural network to perform multi-class classification using CXR images. The model is trained to perform multi-class classification, such as two-class (COVID-19 vs normal), three-class (COVID-19 vs Bacterial Pneumonia vs normal), four-class (COVID-19 vs Bacterial Pneumonia vs lung opacity vs normal), and five-class (COVID-19 vs Bacterial Pneumonia vs Viral Pneumonia vs lung opacity vs normal) classification. The performance of the model is evaluated in terms of accuracy, precision, recall, and F1-score. © 2022 IEEE.

Indoor air quality fuelling India's COVID-19 infection

Just as the smell gets diluted by ventilation, the dangerous concentration of the virus can also get reduced by ensuring appropriate amount of outdoor air flows in. In closed and stale space droplets and aerosol gets quickly concentrated and greatly increases the risk of transmission of virus in that area. Visit to any nearby shopping malls, newly furnished coaching classes, modern residential buildings, government offices, hotels, restaurants and even hospitals shows that they are nothing but an assortment of closed and unventilated spaces. These closed space acts as Super spreader of the virus. Peak test positive rate of 22.6% per hundred test is observed during the month of May, which is a result of high humidity particulate matter concentration temperature CO2 concentration.

Clinical Image: CT Findings in severe cases of COVID-19

Chest CT has a potential role in the diagnosis, detection of complications, and prognostication of corona virus disease 2019 (COVID-19). Implementation of appropriate precautionary safety measures, chest CT protocol optimization, and a standardized reporting system based on the pulmonary findings in this disease will enhance the clinical utility of chest CT However, chest CT examinations may lead to both false-negative and false-positive results. Furthermore, the added value of chest CT in diagnostic decision making is dependent on several dynamic variables, most notably available resources (real-time reverse transcription-polymerase chain reaction [RT-PCR] tests, personal protective equipment, CT scanners, hospital and radiology personnel availability, and isolation room capacity) and the prevalence of both COVID-19 and other diseases with overlapping manifestations at chest CT.

To talk or not?: An analysis of firm-initiated social media communication's impact on firm value preservation during a massive disruption across multiple firms and industries

We examine the role of firm-initiated social media communication using Twitter in mitigating the negative impact of large-scale disruptions, such as the Covid-19 pandemic, on the shareholder value of firms. We develop our hypotheses using signaling theory and test them using data collected from Twitter and Bloomberg (R). Our data set consists of 121,988 firm-generated tweets from 467 S&P 500 firms collected in March 2020 at the time of the lockdown announcement in the United States. We find that frequent and relevant communication reduces latency and increases the observability of messages, preserving a firm's shareholder value. We also find that a positive outlook and extent of interest from stakeholders results in preserving shareholder value. On average, firms lost about 1.08% of their market value per day (about 9.72% during the 9-day period around the lockdown announcement). Our study contributes to the extant literature in three ways: (1) adds to the literature on disruptions-shareholder value by considering large-scale disruptions such as the Covid-19 pandemic, (2) highlights informational and communication elements of risk management strategy, and (3) adds to the growing body of literature on Twitter by considering firm-generated tweets. The results of our study are of importance to managers as well. For instance, firms tweeted about 57 times per week, and each additional tweet could preserve about $5.85 million of a firm's market valuation, on average. Also, it is not enough that the firms took appropriate actions during a large-scale disruption;they also need to communicate their actions and its implications to their stakeholders effectively. These results can help managers devise their Twitter communication strategy during large-scale disruptions.

Evaluation of severity of Covid-19 inpatient by Computed tomography in tertiary centre of Bihar

Introduction- COVID -19 now become pandemic disease and Chest computed tomography (CT) has very important role in diagnosis and characterizing the Covid patient severity by CT severity score. Objectives: The main purpose of this study was to evaluate the performance of MDCT in identifying & categorising the severity of COVID-19 inpatients. Methods: This is retrospective cohort study and is performed on about 512 hospitalized COVID19 patients in IGIMS from 15 April to July 2021. The CT severity score was assessed by two independent radiologists by involvement of percentage of area of each lobe of both lung parenchyma on HRCT lung. All admitted RT-PCR positive patient whose HRCT chest done in IGIMS were included in this study and OPD RT-PCR positive patient (COVID positive) & RTPCR positive (COVID positive) patient with previous history of chronic lung disease, Tuberculosis, Lung mass, bronchiectasis etc were excluded in this study. Results- In our study, Male (72.5%) are more affected in comparison to female (27.5%) and most of the patient are above the forth decade (69.5 %). Most patients are presented with severe CT severity score, i.e. > 15 CT severity score (about 41 percent) and about 20 percent & 22 percent present with mild & moderate CT severity score. Males are present with more CT severity than female. Conclusion- Our studies show that older age group male patient (> 40 year) more affected in second peak of covid-19 and patient with chest involvement presented with severe CT severity score, so more mortality was noted , however this study is retrospective, needs prospective study for better correlation.

Mindfulness-Based Attention Training to Bolster Small Team Performance

The overarching aim of this proposal is to develop, deliver, and investigate the efficacy of MBAT-Team (MBAT-T) as a tool to promoteindividual cognitive performance, resilience, interpersonal interactions, and team-level operational performance. The MBAT-T programwill be tested and compared to the standard MBAT for individuals (MBAT-I) and a no-training control group. We hypothesize thatMBAT-T will benefit squads across all 3 key domains: cognitive performance and resilience, interpersonal interactions, and team-leveloperational performance. We have received approval from the University of Miami IRB and HRPO (Army), have secured a site for theproject, and are on track regarding the coordination with the testing sites, research consultants and delivery of the practicum to the trainerswho will be delivering the MBAT program. The creation of the MBAT-Team course materials and trainer materials are near completion,and significant progress has been made on the preparation and development of the neurobehavioral testing battery for the project. Insummary, our timely success reaching our project milestones over this past year leave us well positioned for continued success in theexecution of this project in the coming year(s).

Prevalence of Liver Dysfunction in COVID-19 Infections and Its Correlation with Severity and Mortality

Aim: To evaluate the prevalence of liver dysfunction and its correlation with severity and mortality in patients with Covid-19 infection. Materials and methods: Total 120 patients fulfilled the inclusion criteria were enrolled for the study after giving informed consent and were divided into two groups (moderate and severe Covid-19 infection). Patients were treated as per national guideline for Covid-19 infection as mentioned in flow chart above. Hemogram and Liver function test and inflammatory markers (C-reactive protein, Lactate dehydrogenase, D-dimer and ferritin) were performed on every alternate day of hospitalization. Patients were followed during whole hospitalization course and weekly for 1 month after discharge with these tests. Approval for the study was sought from Institutional Ethical committee. Results: The median levels of ALT, AST, ALP, GGT, LDH, TBIL, DBIL, and albumin were 20 U/L (IQR, 14–31), 20 U/L (IQR, 17–26), 75 U/L (IQR, 55–193), 21 U/L (IQR, 14–36), 198 U/L (IQR, 172–232), 8.4 umol/L (IQR, 6.5–11.3), 3.4 umol/L (IQR, 2.3–4.6), and 45 g/L (IQR, 41–47), respectively. Severe patients had significantly higher levels of ALT (26 vs 20 U/L, p=0.017), AST (31 vs 20 U/L, p < 0.001), GGT (30 vs 21 U/L, p < 0.001), LDH (334 vs 197 U/L, p < 0.001), TBIL (10.2 vs 8.3 umol/L, p=0.029), DBIL (4.9 vs 3.3 umol/L, p < 0.001), but significantly lower albumin (37 vs 45 g/L, p < 0.001) than non-severe patients. Abnormal AST (40% vs 7%, p < 0.001), LDH (90% vs 35%, p < 0.001), DBIL (20% vs 7%, p < 0.001), and albumin (50% vs 8%, p < 0.001) were commonly observed in severe patients, compared with non-severe patients. On multivariate analysis, age >60 years, male gender, BMI > 30 kg/m2, comorbidity, abnormal LDH and albumin on hospital admission, and abnormal peak hospitalization LDH and albumin were associated with progression to severe COVID-19 (OR > 1;p < 0.05). Conclusion: This large sample retrospective cohort study, we described the longitudinal changes of liver function parameters in patients with COVID-19. In addition, we con-firmed patients with abnormal liver function parameters were at increased risk of severe COVID-19 and death.

Interleukin-6 and Ferritin Levels and their Clinical Correlation in COVID-19 Patients: A Quantitative Assessment

Aim: Quantitative Assessment of Interleukin-6 and Ferritin Levels and its Clinical Correlation among COVID-19 Patients. Methods: The cross-sectional analytical study was conducted in the Department of Pathology, Darbhanga Medical College and Hospital, Darbhanga, Bihar, India for 1 year after taking the approval of the protocol review committee and Institutional Ethics Committee. 120 COVID-19 positive patients, diagnosed upon admission by RT-PCR of oropharyngeal swabs with or without respiratory symptoms were included in the study group. Results: Group A had 55 patients among which 7 patients were asymptomatic and 48 had mild symptoms with RR <24/m and SpO2 >94% in room air, the number of patients with co-morbidities like type 2 diabetes mellitus were 15, with hypertension and cardiac disorders were 10 and with respiratory disorders were 5 in Group A, Group B there were 30 patients among which 9 had mild symptoms and 21 patients had moderate symptoms with RR: 24-30/m (or) SpO2: 90%-94% at room air. The mean levels with standard deviation of Serum IL-6 and serum ferritin in Group A, Group B and Group C patients, respectively has depicted in. table 2. On pairwise comparison by Mann-Whitney U test among the groups it shows that the mean IL-6 levels are significantly different in all the three groups. Kruskal Wallis pairwise comparison shows IL-6 levels to be significantly increased in Group C (35) patients with severe disease compared to Group A and Group B patients with mild and moderate disease respectively (p-value <0.001). Serum Ferritin levels did not show any statistically significant difference among Group A, Group B and Group C;however, ferritin levels were markedly increased in Group C patients with severe disease (p-value=0.44). Conclusion: Serum IL-6 levels independently showed a good correlation with disease severity among COVID-19 patients, and serum ferritin levels was elevated only in severely symptomatic individuals with COVID-19 infections. Hence, Serum IL-6 could have a significant role in assessment of disease severity and Prognosis among COVID-19 patients.

Online, Interactive Tool for Studying How Students Troubleshoot Circuits

We have developed a new tool to look at how students interact with circuits during the troubleshooting process. The online tool was originally designed to analyze individual troubleshooting strategy for large classes, but it also works well in the COVID-era to facilitate remote learning. While there are a number of tools that allow students to virtually interact with circuits, none supported both breadboard graphics and recording all student interactions, which were necessary to create an authentic troubleshooting situation that could be analyzed by the researchers afterwards. Therefore, we created our own circuit and data analysis tool using HTML5, CSS, and JavaScript, which utilizes breadboard imagery from Fritzing and runs on most modern browsers. Unlike a traditional paper-and-pencil test, the interactive, online tool allows us to see how students react to new information and measure domain knowledge beyond theory-including interpreting physical circuits and making measurements. Instead of relying on students to tell us everything on their mind, we can use their actions as a proxy for their thought processes. This paper describes how we developed the tool and some preliminary data on how students debug. © American Society for Engineering Education, 2021

Innovational duality and sustainable development: finding optima amidst socio-ecological policy trade-off in post-COVID-19 era

Purpose This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs). Design/methodology/approach Study is done for 100 countries over 1991-2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO2) emissions and social dimension is captured by unemployment. Findings Innovation-CO2 emissions association is found to be inverted U-shaped and innovation-unemployment association is found to be U-shaped. Research limitations/implications The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation. Practical implications The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period. Social implications Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation. Originality/value This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.

Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions

Purpose The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research. Design/methodology/approach The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy. Findings The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers. Practical implications The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic. Originality/value The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.