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The pandemic has raised an issue of survival for most of the micro, small, and medium enterprises (MSMEs) because of their vulnerability in terms of size, limited financial resources, and inefficiency to deal with unpredicted situations. Therefore, the present study has adopted the contingency theory in times of change and uncertainties caused by COVID-19 on MSMEs and found out the ways to enhance its resilience and sustained the growth of this sector. This study has applied descriptive statistics and probit regression analysis to estimate the resilience and sustained growth of the firms through a change in the variables like turnover, labour employed, investment, and age of the firm. Based on the survey of 225 firms, the study observed that around 90 percent of surveyed firms realized a decline in their turnover with a 25 percent reduction in employment that mostly occur in the informal category. Interestingly, there was some increase in formal employment in around 50 percent of firms because of the business commitment of firms, shortage of informal workers, and availability of workers at lower wages. Smaller and younger firms in terms of employment and investment have a higher possibility to be affected by the external shocks indicating that the firm agility increases with firm age and size. Support measures by the government during the pandemic were found to be insufficient and have limited relevance to the MSME sector in its revival. For enhancing the resilience and sustainability of MSMEs, the study suggests small firms should be encouraged to financial planning against business uncertainties and proposes financial security measures viz. Uncertainty Corpus Fund for Small Businesses and Small Business Insurance. © 2023, Small Business Institute. All rights reserved.
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Humor is a cognitive construct that predominantly evokes the feeling of mirth. During the COVID-19 pandemic, the situations that arouse out of the pandemic were so incongruous to the world we knew that even factual statements often had a humorous reaction. In this paper, we present a dataset of 2510 samples hand-annotated with labels such as humor style, type, theme, target and stereotypes formed or exploited while creating the humor in addition to 909 memes. Our dataset comprises Reddit posts, comments, Onion news headlines, real news headlines, and tweets. We evaluate the task of humor detection and maladaptive humor detection on state-of-the-art models namely RoBERTa and GPT-3. The finetuned models trained on our dataset show significant gains over zero-shot models including GPT-3 when detecting humor. Even though GPT-3 is good at generating meaningful explanations, we observed that it fails to detect maladaptive humor due to the absence of overt targets and profanities. We believe that the presented dataset will be helpful in designing computational methods for topical humor processing as it provides a unique sample set to study the theory of incongruity in a post-pandemic world. The data is available to research community at https://github.com/smritae01/Covid19-Humor. © 2023 ACM.
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Wastewater surveillance has been widely used as a supplemental method to track the community infection levels of severe acute respiratory syndrome coronavirus 2. A gap exists in standardized reporting for fecal indicator concentrations, which can be used to calibrate the primary outcome concentrations from wastewater monitoring for use in epidemiological models. To address this, measurements of fecal indicator concentration among wastewater samples collected from sewers and treatment centers in four counties of Kentucky (N = 650) were examined. Results from the untransformed wastewater data over 4 months of sampling indicated that the fecal indicator concentration of human ribonuclease P (RNase P) ranged from 5.1 × 101 to 1.15 × 106 copies/ml, pepper mild mottle virus (PMMoV) ranged from 7.23 × 103 to 3.53 × 107 copies/ml, and cross-assembly phage (CrAssphage) ranged from 9.69 × 103 to 1.85 × 108 copies/ml. The results showed both regional and temporal variability. If fecal indicators are used as normalization factors, knowing the daily sewer system flow of the sample location may matter more than rainfall. RNase P, while it may be suitable as an internal amplification and sample adequacy control, has less utility than PMMoV and CrAssphage as a fecal indicator in wastewater samples when working at different sizes of catchment area. The choice of fecal indicator will impact the results of surveillance studies using this indicator to represent fecal load. Our results contribute broadly to an applicable standard normalization factor and assist in interpreting wastewater data in epidemiological modeling and monitoring.
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Background: The currently approved vaccines do not induce sterilizing immunity against SAR-CoV-2 infection, and immunity wanes over time. A robust broad spectrum topical prophylaxis strategy could protect vulnerable populations in the face of continuous evolution of SARS-CoV-2. The algal antiviral lectin Griffithsin (GRFT), and an engineered oxidation-resistant variant Q-GRFT have robust entry inhibitory activity against SARS-CoV variants of concern, in addition to other respiratory viruses with pandemic potential. We designed a nasal spray to deliver Q-GRFT to the upper respiratory tract mucosa for on-demand use as a broad-spectrum prophylactic. Two clinical trials (Phase 1a and 1b) were conducted to assess safety, tolerability, and pharmacokinetics of Q-GRFT nasal spray in healthy adults. Method(s): Healthy adult volunteers were enrolled in a Phase 1a double blinded, randomized study to receive a single dose of either intranasal Q-GRFT (3.0 mg, 2 sprays per nostril) or placebo at 2:1 ratio. Following a safety review, the Phase 1b study was initiated. Eleven volunteers in Group 1 received 3.0 mg dose once daily, for 7 days. After a safety review, 11 volunteers in Group 2 received a total of 6.0 mg Q-GRFT (3.0 mg twice daily for 7 days). Topical Q-GRFT concentrations were measured by ELISA in collected nasal and nasopharyngeal fluids. Drug levels in plasma were assayed to determine systemic exposure. Viral microneutralization cytopathic effect (CPE) assays were performed against SARS-CoV-2 Omicron BA-5 and MERS-CoV. Result(s): Eighteen adults (24-54 years;Males 58.3%, Females 41.7%;12 Q-GRFT, 6 Placebo), and 22 adults (aged 23-59 years;Males 52.4%, Females 47.6%) were enrolled in Phase 1a and 1b, respectively. In Phase 1a, a single dose of Q-GRFT maintained quantifiable levels in nasal passages and nasopharynx for up to 24 hours. Similarly, Q-GRFT was quantifiable in nasal and nasopharyngeal regions in the Phase 1b study. No dose accumulation effect or systemic exposure was observed. Nasal and nasopharyngeal swab eluates inhibited SARS-CoV-2 Omicron BA.5 and MERS-CoV in CPE assays. Q-GRFT did not modify olfactory sensation. No severe adverse events were reported. Thus, the nasal spray was deemed safe. Conclusion(s): Intranasal Q-GRFT was safe and enhanced mucosal SARSCoV-2 inhibitory activity in human volunteers. The results support further development of Q-GRFT as a broad-spectrum prophylactic against coronaviruses to curb ongoing infections, and for future pandemic preparedness.
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The majority of sewer systems in the United States and other countries are operated by public utilities. In the absence of any regulation, the public perception of wastewater monitoring for population health biomarkers is an important consideration for a public utility commission when allocating resources for this purpose. We conducted a survey in August 2021 as part of an ongoing COVID-19 community prevalence study in Louisville/Jefferson County, KY, US. The survey comprised seven questions about wastewater awareness and privacy concerns and was sent to approximately 35 000 households randomly distributed within the county. A total of 1220 adults were involved in the probability sample, and data from 981 respondents were used in the analysis. A total of 2444 adults additionally responded to the convenience sample, and data from 1751 respondents were used in the analysis. The samples were weighted to obtain estimates representative of all adults in the county. Public awareness of tracking the virus that causes COVID-19 in sewers was low. Opinions strongly support the public disclosure of monitoring results. Responses showed that people more strongly supported measurements in the largest areas (>50 000 households), typically representing population levels found in a large community wastewater treatment plant. Those with a history of COVID-19 infection were more likely to support highly localized monitoring. Understanding wastewater surveillance strategies and privacy concern thresholds requires an in-depth and comprehensive analysis of public opinion for continued success and effective public health monitoring.
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Background Severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) variants, which have emerged due to several mutations in spike protein, have a potential to escape immune protection provided by the first-generation vaccines, thereby resulting in breakthrough infections. Objective To identify the socio-demographic factors, clinical features, and outcomes in both vaccinated and unvaccinated hospitalized patients infected with SARS-CoV-2. Method Socio-demographic details, clinical features, and the outcomes among fully vaccinated (double for Covishield/AstraZeneca and BBIBP-CorV and single for Janssen), partially vaccinated, and unvaccinated hospitalized patients with coronavirus disease of 2019 (COVID-19) were collected and analyzed using SPSS version 17. Result Among the hospitalized COVID-19 patients (n=299), 175 (58.5%) patients received a single-dose, 82 (27.4%) double-dose, and 124 (41.5%) did not receive any dose of the COVID-19 vaccines. The risk of SARS-CoV-2 infection when compared between vaccinated and unvaccinated patients was found to be associated among professional degree holders (23.4% versus 9.7%) (p<0.05), professional workers (43.4% vs. 25.0%) (p<0.05), hospitalization to general ward (76.6% vs. 72.6%) (p<0.05), and presence of multiple symptoms (> or equel 3) (86.8% vs. 75.0%) (p>0.05) and comorbidities (> or equal 2) (15.5% vs. 13.7%) (p>0.05). Despite such approximate incidences, the risk of in-hospital mortality among the vaccinated patients was reduced (0.6% vs. 3.2%) (p>0.05), when compared to the unvaccinated patients. The risk of in-hospital mortality was associated with the older age and the presence of multiple comorbidities including bronchial asthma, diabetes, and hypertension. Conclusion Full or partial vaccination against the SARS-CoV-2 variants of concerns might be effective in preventing in-hospital mortality among COVID-19 patients.
Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , SARS-CoV-2 , ChAdOx1 nCoV-19ABSTRACT
In Summer 2020, our university organized a two weeks summer research experience for 16 recently graduated first-generation and underrepresented high school students who would be joining University as incoming freshmen in various STEM majors. The summer camp was originally planned to be in-person with students residing in the university dorm to receive an early university experience and plan for their college life. But due to COVID-19, it had to be changed to a completely virtual format. This was the first time the faculty were organizing a two weeks camp in a complete virtual format. In this work, we discuss the overall virtual camp experience, challenges faced to provide effective experience to students in the online format, and evaluate the program based on student's feedback. We found that frequent breaks, activities that include students move around for some physical activity, interactive lesson plans, good communication tools, better planning and information tools are required to organize an efficient virtual program. In summer 2022, we plan to have second cohort of summer research camp and use the experiences from 2020 to improve the program. © 2022 IEEE.
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The change in the electricity demand pattern globally due to sudden extreme weather conditions or situations like COVID 19 pandemic has brought unanticipated challenges for the electric utilities and operators around the world. This work primarily deals with the issue of load forecasting during such type of high impact low frequency (HILF) events. In this paper, we propose a novel resilient short-term load forecasting model capable of producing good forecasting performance for normal as well as critical situations during the COVID 19 pandemic and will also be useful for load forecasting for other HILF situations like natural calamity effect on load demand of the power system. The proposed method uses a feed-forward neural network (FFNN) with an added training feature named resiliency factor to forecast load in both regular and special scenarios. The resiliency factor for any type of node in the distribution system is decided by the power utility using the historical data and declared in advance. The proposed model is tested using the smart metered data available from a real-life distribution grid of an academic cum residential campus. The model is giving satisfactory results for both normal as well as COVID scenario for the said network. © 2023 Taylor & Francis Group, LLC.
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Background: The severe acute respiratory syndrome coronavirus called the novel coronavirus caused the pandemic coronavirus disease 19 (COVID-19). All over the world, SARS-CoV-2 pneumonia is causing significant short-term morbidity and mortality, but the medium-term impact on lung function and quality of life of affected patients is still unknown. Aims: To assess clinical, laboratory, and radiological parameters of COVID-19 Patients and to correlate radiological findings and disease severity among patients. Methodology: In this retrospective observational study a total of 630 patients with radiologically confirmed pneumonia and COVID-19 RT PCR positive were included from a tertiary care centre in Pune, Maharashtra, following their voluntary informed consent. Patients underwent clinical, laboratory, and radiological investigations. Results: It was observed that the majority 174 (27.6%) were in the age group of 31 to 40 years and male predominance was observed compared to female. The majority of the patients 314 (49.8%) had mild, 232 (36.8%) were moderate and 84 (13.3%) had severe illness as per CT scores (HRCT Chest score). Mean BSL levels were 181 +or- 81.44, mean pulse rate was 94.03 +or- 14.93 bpm, mean respiratory rate was 22.84 +or- 3.71cpm, systolic blood pressure was 129.09 +or- 13.18 mmHg, diastolic blood pressure was 82.80 +or- 9.67 mmHg and mean temperature was 98.56 +or- 1.67 degrees F. The mean ferritin levels were 181 +or- 81.44, the mean LDH level was 94.03 +or- 14.93, mean HbA1C was 7.45 +or- 1.68. The mean NLR was 5.51 +or- 2.41, the mean WBC count was 7238.38 +or- 4942.23 and the mean hematocrit was 39.69 +or- 4.80. The mean D dimer level was 402.29 +or- 424.70, median levels were 260 (170-450). 503 (79.8%) had CRP levels more than 5 and 127 (20.2%) had levels less than 5. The mean duration of hospital stay was 9.18 days +or- 4.34 days. Majority 570 (90.5%) had fever, 493 (78.3%) had cough, 286 (45.4%) had breathlessness, 66 (10.5%) had sore throat. Other symptoms include vomiting, and loose motion in 17 (2.7%). Among 630 subjects included in the present study, the majority 584 (92.7%) have recovered/were discharged from the hospital and 46 (7.3%) succumbed to the illness. The mean SGOT and SGPT levels were 44.86+or- 31.29 and 43.60 +or- 31.25 respectively. Mean serum creatinine and BUN levels were 0.87+or- 0.80 and 13.96 +or- 9.46 respectively. The mean values of pulse rate, systolic blood pressure, diastolic blood pressure, respiratory rate and temperature showed an increasing trend across the grades of severity. Conclusion: We concluded that age, gender, blood sugar level, blood pressure, clinical symptoms, comorbidities, inflammatory biomarkers and CT severity score were independently associated with the severity and mortality based on our findings.
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A new variant of coronavirus (2019-nCoV) causing acute respiratory distress in humans was identified for the first time in 2019, in Wuhan, China. One of the many complications of infection with this coronavirus is hypercoagulopathy, resulting in acute thrombosis;often leading to acute limb ischaemia. Herein, we report 20 cases of COVID-19 with peripheral arterial thrombosis involving either upper or lower limbs. Some patients underwent vascular procedures and most had to undergo amputation at some level. All the cases (n=20) were referred to us during the 8-month period June 2020 to March 2021. The most common age group was between 51 and 60 years, of whom 80% were males;all the patients had diabetes. The right lower limb was most affected (50%);15 patients underwent embolectomy. Twenty-five per cent of patients presented with wet gangrene. One patient with upper limb thrombosis recovered after embolectomy and did not require any amputation. Eighty-five per cent of patients underwent some form of amputation and the mortality rate was 10%. Arterial thrombosis is one complication patients may develop during COVID-19 illness, which may affect the outcome. Patients with comorbid conditions like diabetes are at higher risk of developing arterial thrombosis during COVID-19 infection. Susceptibility to coagulopathy may continue even after patient discharge and it is important that both patients and treating physicians are aware of this limb-threatening complication and seek early medical attention.
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During the COVID-19 pandemic, wastewater-based epidemiology has emerged as a promising approach for monitoring SARS-CoV-2 prevalence on a community-level. Despite much being known about the utility of making these measurements in large wastewater treatment plants, little is known about the correlation with finer geographic resolution, such as those obtained through sewershed sub-area catchments. This study aims to identify community wastewater surveillance characteristics between sewershed areas that affect the strength of the association of SARS-CoV-2 RNA detection in a metropolitan area. For this, wastewater from 17 sewershed areas were sampled in Louisville/Jefferson County, Kentucky (USA), from August 2020 to April 2021 (N = 727), which covered approximately 97% of the county's households. Solids were collected from the treatment plants from November 2020 to December 2020 (N = 42). Our results indicate that the sewersheds differ in SARS-CoV-2 trends;however, high pairwise correlation spatial trends were not observed, and the mean SARS-CoV-2 RNA concentrations of smaller upstream community sewershed areas did not differ from their respective treatment centers. Solid samples could only be collected at treatment plants, therefore not allowing us to evaluate SARS-CoV-2 abundance as a function of the sewershed scale. The population size sensitivity of SARS-CoV-2 concentration detection is non-linear: at low population levels the measures are either too sensitive and generate a high level of variability, or at high population levels the estimates are dampened making small changes in community infection levels more difficult to discern. Our results suggest selecting sampling sites that include a wide population range. This study and its findings may inform other system-wide strategies for sampling wastewater for estimating non-SARS-CoV-2 targets.
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Vaccine hesitancy and uptake have been important issues in controlling the current COVID-19 pandemic in many regions around the globe, but the increase in vaccination rates has been slow or even halted in some countries. Therefore, people who have hesitated in getting the vaccine need to be addressed. One driver influencing vaccination uptake is closing the knowledge gap among the public by equipping them with a deeper understanding of how a vaccine works inside our cells to activate the immune system and develop immunity. Viral immunology is highly conceptual and requires an appreciation of molecular biology in the cell. To give individuals an intuitive awareness of the operation of a mRNA-type virus vaccine for COVID-19, we designed and developed a Virtual Reality (VR) based serious game called 'Cell Traveler'. Through this innovative VR serious game, the player can control and interact with a sequence of critical real-life events inside a cell triggered by the injected mRNA COVID-19 vaccine. In this paper, we describe the prototype of the 'Cell Traveler'. We utilize the concepts of serious game to create an experience to encourage students and the public to develop deeper mRNA vaccine knowledge through a memorable and fun experience. © 2022 IEEE.
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The COVID-19 pandemic has had a devastating economic impact globally and Nepal is no exception. Tourism and migration abroad to work— two of the important sectors that have significantly contributed to the Nepali economy — have suffered tremendously in the face of lockdown and other restrictions related to the COVID-19 pandemic. In this context, this paper aims to understand how COVID-19 impacted Nepalis while focusing on Nepal's tourism and migration sector. The paper is based on the review of secondary resources, including newspaper articles available in the public sphere. Data in this paper comes from the period prior to February 2021. The COVID-19 pandemic has exacerbated the situation of Nepalis who were recovering from social and economic destruction caused by the global earthquake of 2015. The resulting lockdowns, the closing of land ports and airports, and the limitation of people's mobility have significantly affected Nepal's tourism sector. In addition, thousands of Nepali migrants lost their jobs and incomes in Gulf Cooperation Council (GCC) nations, Malaysia, India, and other destination countries as the pandemic struck the global economy. However, Nepali people appear to remain resilient in the face of yet another disaster. © 2022 Pulla et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Background: To control the COVID-19 pandemic, the only measure could be vaccination drive among country individuals. Pathetically, immunization refusal has been a common story in the media for well longer than 10 years. The study aimed to enlist the reasons for COVID-19 vaccine refusal among health workers of L3 level hospital and also to study the reasons for COVID-19 vaccination refusal by health care workers of L3 level hospital. To carry out this present study research question, the objectives were to prepare a detail list comprising of refusal reasons and also to find out correlations between refusal reasons and selected demographical variables like age/sex. Material(s) and Method(s): The present study consisted of 192 subjects from the Out-Patient Department at the Department of Medicine of Era's Lucknow Medical College and Hospital, Lucknow, U.P. conducted between late December 2020 and March 2021. Informed written consent were obtained from all the study group subjects. A Questionnaire based research design was adopted for this study to assess the reasons for COVID -19 vaccination refusal by Health care workers of L3 level hospital. Result(s): The total study subjects involved in the present project were 192 with the mean age of the study population being 26.33 +/- 5.31 years. Majority of the hesitant respondents were females (56.8%). Out of all the 192 healthcare workers involved in the study, maximum (n=75) were from the allied courses followed by paramedical staff (n=61) and clinical doctors (n=56). Out of all the reasons enlisted for refusal of vaccination, sickness (n=51, 26.6%) was the single most dominant reason followed by drug allergy (n=23;12%), pregnancy (n=18;9.4%), food allergy (n=12;6.2%) and lactation (n=8;4.2%), with 79 respondents giving various other reasons for refusal like parents' denial (n=26), followed by presence of a medical condition (n=18), travel and scheduled appointments for personal/official tasks (n=4 each). A total of 27 respondents had failed to cite any specific reason for refusal. Reasons for refusal showed a significant variation for different age groups, sexes and professional categories (p<0.001). In effect, there was a statistically significant difference among different professional categories with respect to reasons for vaccine hesitancy (p=0.001). Conclusion(s): Improving intention to vaccinate against COVID-19 in India is influenced by the effectiveness of the vaccine. To retard the progress of the pandemic, it will require acceptance of COVID-19 vaccine along with targeted health communication strategies that effectively reach the populace. Copyright © 2022 Necati Ozpinar. All right reserved.
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Background Severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) variants, which have emerged due to several mutations in spike protein, have a potential to escape immune protection provided by the first-generation vaccines, thereby resulting in breakthrough infections. Objective To identify the socio-demographic factors, clinical features, and outcomes in both vaccinated and unvaccinated hospitalized patients infected with SARS-CoV-2. Method Socio-demographic details, clinical features, and the outcomes among fully vaccinated (double for Covishield/AstraZeneca and BBIBP-CorV and single for Janssen), partially vaccinated, and unvaccinated hospitalized patients with coronavirus disease of 2019 (COVID-19) were collected and analyzed using SPSS version 17. Result Among the hospitalized COVID-19 patients (n=299), 175 (58.5%) patients received a single-dose, 82 (27.4%) double-dose, and 124 (41.5%) did not receive any dose of the COVID-19 vaccines. The risk of SARS-CoV-2 infection when compared between vaccinated and unvaccinated patients was found to be associated among professional degree holders (23.4% versus 9.7%) (p<0.05), professional workers (43.4% vs. 25.0%) (p<0.05), hospitalization to general ward (76.6% vs. 72.6%) (p<0.05), and presence of multiple symptoms (>=3) (86.8% vs. 75.0%) (p>0.05) and comorbidities (>=2) (15.5% vs. 13.7%) (p>0.05). Despite such approximate incidences, the risk of in-hospital mortality among the vaccinated patients was reduced (0.6% vs. 3.2%) (p>0.05), when compared to the unvaccinated patients. The risk of in-hospital mortality was associated with the older age and the presence of multiple comorbidities including bronchial asthma, diabetes, and hypertension. Conclusion Full or partial vaccination against the SARS-CoV-2 variants of concerns might be effective in preventing in-hospital mortality among COVID-19 patients. Copyright © 2022, Kathmandu University. All rights reserved.
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Aims: Low doctor morale and mental well-being is associated with poor patient care, especially during The COVID-19 pandemic. We report on a local initiative, Feel Good Factor (FGF), and its impact on doctors and The department. Method(s): FGF is a monthly presentation at The departmental meeting implemented at WHH, started in December 2019;where kind acts are applauded. A 10-item questionnaire was distributed to doctors working in two Surgery Departments (WHH and QEQM) in May 2021. Questionnaires collected demographic data, awareness of both positive/negative events and mental well-being using Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS). Data was collected on audits, QIp's, sickness due to mental health, junior progression and publications. Result(s): 48 doctors responded (58.3% QEQM). There was no significant difference in overall WEMWBS score. Doctors in The WHH Department were more decisive (70% vs 25%, P = 0.043);positive incident reporting was higher at WHH (25.0% vs 0.0%, P = 0.025). A trust-wide record number of 45 audits, 22 publications, 6 national studies and 11 juniors progressed in 2020. Patient clinical marker of NELA mortality was one of The leaSt. There was no sickness leave due to mental health. FGF was also shortlisted for The annual BMJ awards. Conclusion(s): FGF is associated with increased awareness of positive events. Improved doctor morale led to widespread participation in projects and departmental output leading to national recognition. Initiatives such as FGF should be encouraged and advertised to other departments, to improve The hospital rating.
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Pandemic challenges demanded immediate solutions and continues improvement in solutions on field which motivated the entire world's research community to find an opportunity to provide speedy solutions to problems. Agile developments provide immediate improvements which functioned on the grounds of assorted health care units, medical facilities, pharmaceuticals and variants of COVID 19 cases. Agile developments proved its effectiveness for immediate solutions which take full advantage of aids to health and pharmaceutical organizations and also exploits worth rapport with health stakeholders. This springs a thirst for carrying out the study on agile developments and its effectiveness for health and pharmaceuticals so, the study focuses to design generic adaptive emergency agile model for Health care and pharmaceuticals to deal with Crisis pressure which will support COVID 19 medical research field.
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Introduction: Colon Capsule Endoscopy (CCE) is a painless, minimally invasive camera in a capsule (PillCam Colon 2) that can be swallowed to examine the colon with reliable accuracy. Because of the risk of COVID -19 transmission, renewed interest in CCE has emerged. However, concerns remain about the subsequent need for invasive colonoscopy. Method(s): Our Trust is one of the 42 centers taking part in this NHS-England sponsored pilot study. Patients with moderate risk of colon cancer returning a fecal immunochemical test (FIT) value of 10 to 100 mug/g and willing to participate will be included in the study. Bowel preparation is standardized as per the study guidelines. Our initial experience includes data from 52 patients recruited over the past 6 months. Result(s): There were 52 patients who consented for the study (16 males and 36 females) with mean age of 60 (24-80) years. Complete CCE, with capsule elimination during recording, was achieved in 38 (73%) patients. Fourteen (27%) patients had an incomplete examination, of which 7 (13.5%) patients underwent colonoscopy, 4 of whom needed colonoscopy anyway due to the presence of polyps and IBD. The remaining 7 (13.5%) required only flexible sigmoidoscopy.Of those who underwent a full CCE, 13 (25%) needed colonoscopy and 2 (4%) needed flexible sigmoidoscopy only, due to findings noted on CCE. Thus, altogether CCE avoided colonoscopy in 32 (62%) patients. Conclusion(s): Colon capsule endoscopy reduces the need for invasive colonoscopy. It is a safe, reliable, and noninvasive diagnostic tool.
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In this paper, we present a minimally-supervised approach to identify human needs expressed in tweets. Taking inspiration from Frustration-Aggression theory, we trained RoBERTa model to classify tweets expressing frustration which serves as an indicator of unmet needs. Although the notion of frustration is highly subjective and complex, the findings support the use of pretrained language model in identifying tweets with unmet needs. Our study reveals the major causes behind feeling frustrated during the lockdown and the second wave of the COVID-19 pandemic in India. Our proposed approach can be useful in timely identification and prioritization of emerging human needs in the event of a crisis. © 2022 Association for Computational Linguistics.