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In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available. © 2023 Association for Computational Linguistics.
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Background During the containment of COVID-19，the traditional face-to-face interventions conducted at the rehabilitation center were plagued by many limitations，while internet-based interventions can overcome the limitations of geographic location，working hours and transportation，with less medical costs. Objective To examine the effects of internet-based interventions on knowledge，attitude/belief and practice（KAP） toward rehabilitation exercises，physical activity（PA）level，and exercise compliance inpatients after PCI. Methods The subjects were 76 patients who received their first PCI in Department of Cardiology，Tangshan Gongren Hospital from November 2021 to June 2022. They were randomly and equally divided into two groups to receive either internet-based intervention with routine nursing（experimental group） or routine nursing （control group）. Before and three months after the intervention，the Rehabilitation Exercise Knowledge-Belief-Practice Scale for Patients with Coronary Heart Disease（REKBPCHD），the International Physical Activity Questionnaire-Short Form （IPAQ-SF），and Patients' Exercise Log were used to assess the KAP level，PA level，and exercise adherence，respectively. The impact of network intervention on exercise adherence in patients after PCI by univariate Logistic regression analysis. Results After 3 months of intervention，a significant increase was found in the average total score of REKBPCHD，and the average scores of the knowledge dimension，attitude dimension and practice dimension of the scale in the experimental group（P<0.05），and the increase was more notable than that in the control group（P<0.05）. Moreover，both post-intervention low PA level and total PA level in the experimental group were higher than those in the control group（P<0.05）. Both post-intervention low PA level and total PA level were higher than the baseline levels in the experimental group（P<0.05）. The post-intervention exercise compliance of experimental group were higher than that in the control group（P=0.003）. Univariate Logistic regression analysis showed that the risk of non-adherence to exercise in the experimental group was relatively lower than that in the control group 〔OR=0.143，95%CI（0.034，0.594），P=0.007〕. Conclusion Theinternet-based intervention can effectively improve the KAP level toward rehabilitation，PA level，and exercise adherence in patients after PCI. © 2023 Chinese General Practice. All rights reserved.
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ObjectiveGrowing evidence shows that online mental health interventions for university students are a cost-effective means for addressing mental health problems among university students. This study presents data on the numbers and characteristics of students who engaged in an online mental health promotion intervention called YOLO in the context of a university-wide rollout of the program before and after the onset of the COVID-19 pandemic.MethodsParticipants completed a questionnaire assessing socio-demographics and mental health (wellbeing and distress). A total of 240 students accessed the program over a 12-month period and of these, 164 provided reliable data.ResultsYOLO was accessed by students representing diverse socio-demographics including domestic vs. international student status, degree level, faculty, ethnicity, and age, although there was an over-representation of females (77.2%). Students who accessed YOLO pre-COVID-19 did not substantially differ across most mental health dimensions from those who accessed it during-COVID-19, although more students reported mild-moderate anxiety symptoms during-COVID than pre-COVID-19. The only socio-demographics significantly associated with mental health were age and degree level. Younger age was related to higher anxiety and 3(rd) and 4(th) year undergraduate students reported poorer mental health comparative to students in other years. Additionally, a higher proportion of these students accessed YOLO during-COVID-19 than at pre-COVID-19.ConclusionThe present data along with findings from other studies that have evaluated YOLO, suggest that online mental health promotion programs that do not require in-person contact are an important and necessary resource for all university students.
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Previous studies have demonstrated that low-intensity intervention is effective in improving mental health in young people. Whilst interventions have majorly been offered online during COVID-19 pandemic, it is not known whether low-intensity interventions delivered online can also help reduce the level of distress experienced by young people. The study aimed to determine whether a low-intensity online intervention (LiON) can reduce levels of distress in young people greater than those in similar initial distress levels but received no intervention. Young people aged 15 to 24 were recruited for the 4-weekly LiON intervention consisting of three modules namely sleep and relaxation, stress-coping and problem-solving. The reductions in distress level after intervention were compared to those that occurred over a period of 3 months among community young people with similar baseline K6 distress levels. Seventy-four young people (mean age 20.24 [SD 2.26] years, 71.6% female) received the LiON intervention from December 2021 to July 2022. We observed a greater improvement in their distress levels after receiving the intervention than those with no intervention in the community (beta -4.13, 95%CI -5.12, -3.07, p < .001, Cohen's f2 0.027). The findings offered evidence that the LiON intervention significantly reduced young people's distress level in addition to the improvement that may occur naturally. The use of LiON is adaptable to a wider variety of frontline community organizations. Future evaluation of its cost-effectiveness is warranted.
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During the COVID-19 pandemic, point-of-care genetic testing (POCT) devices were used for on-time and on-site detection of the virus, which helped to prevent and control the spread of the pandemic. Smartphones, which are widely used electronic devices with many functions, have the potential to be used as a molecular diagnostic platform for universal healthcare monitoring. Several integrated diagnostics platforms for the real-time and end-point detection of COVID-19 were developed using the functions of smartphones, such as the operating system, power, sound, camera, data storage, and display. These platforms use the 5V output power of smartphones, which can be amplified to power a micro-capillary electrophoresis system or a thin-film heater, and the CMOS camera of smartphones can capture the color change during a colorimetric loop-mediated isothermal amplification test and detect fluorescence signals. Smartphones can also be used with self-written web-based apps to enable automatic and remote pathogen analysis on POCT platforms. Our lab developed a handheld micro-capillary electrophoresis device for end-point detection of SARS-CoV-2, as well as an integrated smartphone-based genetic analyzer for the qualitative and quantitative colorimetric detection of foodborne pathogens with the help of a custom mobile app. © 2023 SPIE.
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This COVID-19 study uses a new way of looking at data to shed light on important topics and societal problems. After digesting specific interpretations, experts' points of view are looked at: We'll study and categorize these subfields based on their importance and influence in the academic world. Web-based education, cutting-edge technologies, AI, dashboards, social networking, network security, industry titans (including blockchain), safety, and inventions will be discussed. By combining chest X-ray images with machine learning, the article views provide element breadth, ideal understanding, critical issue detection, and hypothesis and practice concepts. We've used machine learning techniques in COVID-19 to help manage the pandemic flow and stop infections. Statistics show that the hybrid strategy is better than traditional ones. © 2022 IEEE.
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This rapid review provides an overview of recent literature on the nature of digital interventions for young people in terms of technologies used, substances and populations targeted, and theoretical or therapeutic models employed. A keyword search was conducted using MEDLINE and other databases for 2015-2021. Following a title/ and full-text screening of articles and consensus decision on study inclusion, data extraction proceeded using an extraction grid. Data synthesis relied on an adapted conceptual framework (Stockings et al., 2016) that involved a three-level treatment spectrum for youth substance use (prevention, early intervention, and treatment). The review identified 43 articles describing 39 digital interventions. Most were early interventions (n = 28), followed by prevention (n = 6) and treatment (n = 5). Of the five technologies identified, web-based interventions (n = 14) were most common. Digital interventions have mainly focused on alcohol use (n = 20), reflecting limited concern for other substance use and co-occurring use. Yet the rise in substance use and related harms during the Covid-19 pandemic highlights a critical need for more innovative substance use interventions. Technologies with more immersive and interactive features, such as VR and game-based interventions, call for further exploration. Only one intervention was culturally tailored and purposefully designed for gender minority youth, and another was geared to young men. As well, most interventions used a personalized or normative feedback approach, while a harm reduction approach guided only one intervention. The incorporation of culturally tailored interventions and harm reduction approaches may promote uptake and stronger engagement with digital interventions amongst youth.
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This paper provides a remote access control experiment for students who can't go to the campus because of the COVID-19 pandemic. This paper utilizes the SCADA (supervisory control and data acquisition) using LabView with the Internet of things technology to control the laboratory remotely in real-time. Remote access experiments of a Linear actuator, PID algorithm, Dynamics and Control of Second-order system response, and survey questionnaires were applied and used as an example to show how effective the research study is. The safety of the SCADA system was also considered by using the Virtual Private Network as the primary connection between the student and the server. The remote access laboratory will give a solution to the current problem of the academe for not providing a real-time laboratory equipment experiment. © 2022 IEEE.
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INTRODUCTION: Severe acquired brain injury(SABI) often results in the deterioration of physical, cognitive and emotional functions in the patient and a significant caregiver's distress syndrome, which is now amplified by the social isolation, depression and financial difficulties related to the COVID-19 pandemic. The use of web-based online-therapy has been shown to be useful to overcome caregiver's distress syndrome and further stimulate cognitive-motor recovery of SABI-patients. Our study aimed to investigate whether a systematic online Skype-therapy(OLST) may be of support in favoring global cognitive and sensory-motor recovery in SABI-patients and reducing caregiver distress. METHODS: Twenty-five SABI-subjects in inpatient regimen were provided with intensive OLST with the caregiver for 12 weeks in addition to standard neurorehabilitation. Each subject and caregiver was evaluated before and after the treatment by administering an ad hoc battery. Furthermore, 18 of 27 patients were provided with EEG recording in resting state. RESULTS: We found a significant reduction in caregiver's anxiety (p<0.0001) and burden(p<0.0001). Patients showed significant improvement in trunk control (p<0.0001), functional independence (p = 0.005), functional (p = 0.01) and global communication (p = 0.004), cognitive functioning (p = 0.001), and behavioral responsiveness (p = 0.0004). The training yielded a significant connectivity change within the fronto-centro-parietal areas in the delta frequency band (p<0.0001) and the centro-parieto-occipital areas in the alpha range (p = 0.004). DISCUSSION: OLST may be a useful and complementary treatment to optimize global cognitive and functional recovery in SABI-subjects and reduce caregivers' concerns in the Covid-era. OLST can foster cognitive-motor recovery potentially by favoring the plasticity-dependent functional recovery. Therefore, OLST could be proposed as a tool allowing social conversations also in the hospital setting.
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BACKGROUND: Resources such as Google Trends and Reddit provide opportunities to gauge real-time popular interest in public health issues. Despite the potential for these publicly available and free resources to help optimize public health campaigns, use for this purpose has been limited. OBJECTIVE: The purpose of this study is to determine whether early public awareness of COVID-19 correlated with elevated public interest in other infectious diseases of public health importance. METHODS: Google Trends search data and Reddit comment data were analyzed from 2018 through 2020 for the frequency of keywords "chikungunya," "Ebola," "H1N1," "MERS," "SARS," and "Zika," 6 highly publicized epidemic diseases in recent decades. After collecting Google Trends relative popularity scores for each of these 6 terms, unpaired 2-tailed t tests were used to compare the 2020 weekly scores for each term to their average level over the 3-year study period. The number of Reddit comments per month with each of these 6 terms was collected and then adjusted for the total estimated Reddit monthly comment volume to derive a measure of relative use, analogous to the Google Trends popularity score. The relative monthly incidence of comments with each search term was then compared to the corresponding search term's pre-COVID monthly comment data, again using unpaired 2-tailed t tests. P value cutoffs for statistical significance were determined a priori with a Bonferroni correction. RESULTS: Google Trends and Reddit data both demonstrate large and statistically significant increases in the usage of each evaluated disease term through at least the initial months of the pandemic. Google searches and Reddit comments that included any of the evaluated infectious disease search terms rose significantly in the first months of 2020 above their baseline usage, peaking in March 2020. Google searches for "SARS" and "MERS" remained elevated for the entirety of the 2020 calendar year, as did Reddit comments with the words "Ebola," "H1N1," "MERS," and "SARS" (P<.001, for each weekly or monthly comparison, respectively). CONCLUSIONS: Google Trends and Reddit can readily be used to evaluate real-time general interest levels in public health-related topics, providing a tool to better time and direct public health initiatives that require a receptive target audience. The start of the COVID-19 pandemic correlated with increased public interest in other epidemic infectious diseases. We have demonstrated that for 6 distinct infectious causes of epidemics over the last 2 decades, public interest rose substantially and rapidly with the outbreak of COVID-19. Our data suggests that for at least several months after the initial outbreak, the public may have been particularly receptive to dialogue on these topics. Public health officials should consider using Google Trends and social media data to identify patterns of engagement with public health topics in real time and to optimize the timing of public health campaigns.
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Due to the COVID-19 pandemic, the demand for distance learning has significantly increased in higher education institutions. This type of learning is usually supported by Web-based learning systems such as Massive Open Online Courses (Coursera, edX, etc.) and Learning Management Systems (Moodle, Blackboard-Learn, etc.). However, in this remote context, students often lack feedback and support from educational staff, especially when they face difficulties or challenges. For that reason, this work presents a Prediction-Intervention approach that (a) predicts students who present difficulties during an online learning course, based on two main learning indicators, namely engagement and performance rates, and (b) offers immediate support to students, tailored to the problem they are facing. To predict students' issues, our approach considers ten machine learning algorithms of different types (standalone, ensemble, and deep learning) which are compared to determine the best performing ones. It has been experimented with a dataset collected from the Blackboard-Learn platform utilized in an engineering school called ESIEE-IT in France during 2021-2022 academic year, showing thus quite promising results. © 2022 IEEE.
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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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In recent years, the field of Narrative Pharmacy was introduced, which particularly addresses the pharmacist not only to guide a relationship of listening to and caring for the patient but also to strengthen and motivate toward the profession, improve relationships with colleagues, enhance the ability to teamwork, and understand emotions. In this paper, we report the analysis behind the construction of the Value Chart from the personal narratives of members of the Italian Society of Hospital Pharmacy. Each member's subjective professional experiences and their own view of themselves within society were collected through a semi-structured interview. Personal thinking, including experiences, feelings, opinions, desires, and regrets was classified by objective methods, from which main concepts were extracted for the Value Chart. The feedback to the survey, including activities during the Covid-19 pandemic management, is classified according to the analytical methods of Kleinman, Frank, Bury and Launer-Robinson. Regarding sentiment analysis, the emotional and subjective context of the text provides an ideal baseline to validate the result. The analysis was implemented using neural networks trained on dictionaries and natural language (i.e., Tweets). The originality of the work lies in the fact that generally value charters are built on a Society's values. In contrast, in this case, individual contributions were gathered to complement the ethical values on which the society is founded. © 2022 IEEE.
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BACKGROUND: Digital education has expanded since the COVID-19 pandemic began. A substantial amount of recent data on how students learn has become available for learning analytics (LA). LA denotes the "measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs." OBJECTIVE: This scoping review aimed to examine the use of LA in health care professions education and propose a framework for the LA life cycle. METHODS: We performed a comprehensive literature search of 10 databases: MEDLINE, Embase, Web of Science, ERIC, Cochrane Library, PsycINFO, CINAHL, ICTP, Scopus, and IEEE Explore. In total, 6 reviewers worked in pairs and performed title, abstract, and full-text screening. We resolved disagreements on study selection by consensus and discussion with other reviewers. We included papers if they met the following criteria: papers on health care professions education, papers on digital education, and papers that collected LA data from any type of digital education platform. RESULTS: We retrieved 1238 papers, of which 65 met the inclusion criteria. From those papers, we extracted some typical characteristics of the LA process and proposed a framework for the LA life cycle, including digital education content creation, data collection, data analytics, and the purposes of LA. Assignment materials were the most popular type of digital education content (47/65, 72%), whereas the most commonly collected data types were the number of connections to the learning materials (53/65, 82%). Descriptive statistics was mostly used in data analytics in 89% (58/65) of studies. Finally, among the purposes for LA, understanding learners' interactions with the digital education platform was cited most often in 86% (56/65) of papers and understanding the relationship between interactions and student performance was cited in 63% (41/65) of papers. Far less common were the purposes of optimizing learning: the provision of at-risk intervention, feedback, and adaptive learning was found in 11, 5, and 3 papers, respectively. CONCLUSIONS: We identified gaps for each of the 4 components of the LA life cycle, with the lack of an iterative approach while designing courses for health care professions being the most prevalent. We identified only 1 instance in which the authors used knowledge from a previous course to improve the next course. Only 2 studies reported that LA was used to detect at-risk students during the course's run, compared with the overwhelming majority of other studies in which data analysis was performed only after the course was completed.
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COVID-19 , Pandemics , Humans , COVID-19/prevention & control , Learning , Delivery of Health Care , Power, PsychologicalABSTRACT
BACKGROUND: Near-peer teaching (NPT) is becoming an increasingly popular pedagogical tool in health professions education. Despite the shift in formal medical education from face-to-face teaching toward encompassing web-based learning activities, NPT has not experienced a similar transition. Apart from the few reports on NPT programs hastily converted to web-based learning in light of the COVID-19 pandemic, no studies to date have explored web-based learning in the specific context of NPT. OBJECTIVE: This qualitative study examined the nature of interactions among peer learners (PLs), peer teachers (PTs), and the learning content in a student-led, web-based NPT program for medical students. METHODS: A 5-month-long voluntary NPT program to support first- and second-year medical students' biomedical science learning in the undergraduate medical curriculum was designed by 2 senior-year medical students and delivered by 25 PTs with 84 PLs participating. In total, 9 PLs and 3 PTs underwent individual semistructured interviews at the end of the program to explore general NPT experience, reasons for joining NPT, the effectiveness of NPT, the demand and importance of NPT, and the feasibility of incorporating NPT in the formal curriculum. Interview transcripts were analyzed using a thematic analysis approach. RESULTS: The first general theme focused on the nature of student-student, student-teacher, and student-content interactions. Although PLs were engaged in web-based NPT, there was minimal interaction between students, as most PLs preferred to learn passively and remain anonymous. PLs believed the web-based NPT learning process to be a unidirectional transmission of knowledge from teacher to learner, with the teacher responsible for driving the interactions. This was in sharp contrast to PTs' expectation that both parties shared responsibility for learning in a collaborative effort. The second general theme identified the advantages and disadvantages of delivering NPT on a web platform, which were mainly convenience and teaching skills development and poor interactivity, respectively. CONCLUSIONS: Student-led, web-based NPT offers a flexible and comfortable means of delivering academic and nonacademic guidance to medical students. However, the web-based mode of delivery presents unique challenges in facilitating meaningful interactions among PLs, PTs, and subject content. A blended learning approach may be best suited for this form of student-led NPT program to optimize its efficacy.
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BACKGROUND: The participation of children with disabilities in leisure activities is a key determinant of their physical and mental health. The COVID-19 pandemic has limited participation in leisure activities for all children, particularly those with disabilities. As a result, children with disabilities may be less active while feeling more isolated and stressed. Web-based communities and activities have become increasingly important. Understanding how web-based activities include or exclude children with disabilities can contribute to the development of inclusive communities that may support participation after the pandemic. OBJECTIVE: This study aimed to identify factors that may facilitate or prevent the participation of children with disabilities in web-based leisure activities. METHODS: We adopted a qualitative descriptive interpretative methodology and conducted interviews with 2 groups of participants: service providers offering inclusive web-based leisure activities and parents of children with disabilities who have engaged in web-based leisure activities during the COVID-19 pandemic. A semistructured interview format was created based on the Theoretical Domains Framework. The questions focused on the description of the web-based activities offered by the service provider (eg, age range, frequency, cost, target population, and type of activity offered) and any adaptations to make the web-based activity accessible to children and youth with disabilities, and their perceptions and beliefs about what supported or deterred participation in the activities. RESULTS: A total of 17 participants described their experiences in participating in and creating web-based leisure programs and the factors preventing or facilitating children's participation in web-based activities. Environment and context factors included accommodations, the format of activities and the web-based setting, stakeholder involvement, and materials and resources available. Activities that had flexible schedules, both recorded and live options for joining, and that provided clear instructions and information were perceived as more accessible. Beliefs involved the characteristics of the child and the family environment, as well as the characteristics of the organizations providing the activity. Activity facilitators who were familiar with the web-based environment and knew the specific characteristics of the child facilitated their participation. Engagement in community champions and respect for children's individual preferences were perceived as positive. Access to technology, funding, and caregivers' ability to facilitate child engagement are crucial factors that must be considered when offering web-based programs. CONCLUSIONS: Web-based environments offer an accessible and safe option for leisure participation when public health conditions prevent children with disabilities from participating in in-person activities. However, to make web-based activities accessible to children with a variety of disabilities, there needs to be a clear plan toward universal web-based accessibility that accounts for individual needs and collective approaches to web-based leisure. Future work should consider developing and testing guidelines for web-based accessibility, equity, public policy, and programming considerations in offering these activities for all children.
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This study examined the status and factors of postgraduate students' utilization of Web-based library and information services on output and outcome dimensions. During COVID-19, an online survey was conducted using stratified sampling, collecting 527 respondents from 20 Malaysian public universities. Library technology, support, and environment were the factors affecting WBLIS utilization. Each factor scored highly on usefulness, research support, and virtual space dimensions. Electronic databases were utilized heavily, and digital reference services were used the least. Most respondents' results, research skills and strategies improved with WBLIS utilization. Overall, the paper presents the descriptive findings to benefit academic libraries and universities.
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Objective: This study investigated nursing students' views of the effect of a web-based tracheostomy care game on their knowledge levels during the COVID-19 pandemic.Methods:This pretest-posttest single-group quasi-experimental study was conducted between April and July 2021. The study population consisted of all nursing students in Turkey. The sample consisted of 125 students who filled out the pretest and posttest forms. Participation was voluntary. Participants were recruited using snowball sampling method. Participants entered the website "trakeostomibakimi.com" They filled out the demographic characteristics questionnaire and the tracheostomy care knowledge test (TCKT) on the website. They downloaded the virtual tracheostomy care game on their computers. They played the game as much as they wanted and then filled out the posttest and the student opinion forms.Results: Participants had a higher mean posttest TCKT score than pretest score (p<.05). They stated that the game helped them enjoy learning tracheostomy care and remember their prior knowledge and made them feel like they practiced in a real-life clinical setting. Conclusion: The web-based tracheostomy care game improved nursing students' knowledge levels. There should also be online educational games tailored to other nursing areas.
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With the advent of the coronavirus disease 2019 (COVID-19), several institutions worldwide have adopted the blended mode of teaching and learning. However, literature on this concept in South Africa and on the African continent is scarce. This scoping review explores the concept of blended approach to training and how to design resources for the blended teaching and learning approach. In addition, the review investigates barriers to the implementation of blended learning. The findings of this study demonstrate that the understanding of the concept of blended teaching and learning is not homogenous and is often left to individual academics to decide on the approach. The review identified several hurdles that need to be addressed for successful implementation of blended teaching and learning, however these are not specific to South African institutions. Available literature on studies done elsewhere and in South African, suggest that some of the identified barriers to adoption of blended teaching and learning are real, while others are perceived or imagined. Lastly, the authors observed that there are several approaches to designing learning resources for the blended mode of teaching and learning. The choice of approach is dependent on the intended purpose for which the specific design is adopted. There is a need for studies that specifically investigate blended learning in Universities in South Africa and on the continent to help identify barriers to adopting blended teaching and learning among institutions that are specific to the South African and African context. Institutions adopting the blended teaching and learning mode of delivery, need to be unambiguous in their philosophy of blending teaching and learning and not leave it to the implementing academics. Policymakers can use the information generated in this review to recommend minimum requirements for a blended delivery mode in public institutions of higher learning.
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Objectives The psychological and physiological distress and social isolation could adversely affect sleep. As sleep disturbances may persist and deteriorate health, it is important to assess prevalence and related factors of sleep disturbances among the residents of Karnataka state during the coronavirus disease 2019 (COVID-19) infection.Methods In this study, 250 responders across the state of Karnataka accessed the survey voluntarily during September 2021 and January 2022. Pittsburgh Sleep Quality Index, Insomnia Severity Index scales, features that are related to sleep quality, and some hypothesized risk factors of sleep disturbances in context of COVID-19 infection are employed to format a self-reported questionnaire.Results In this study, females 27(19.1%) experienced more sleep disturbances than males 9 (8.3%). The study revealed the participants who received both the doses of vaccination (126;54.3%) had better sleep. The participants who reported themselves to be stressed (182;72.8%) had more disturbances in sleep. A total number of 45 participants (18.4%) experienced difficulty in breathing and out of all the responders 11 (47.8%) were actually worried about their current sleep problem.Conclusion COVID-19 infection and changes imposed during the pandemic have led to a surge in individuals reporting sleep problems across the globe. The findings raise the need to screen for worsening sleep patterns to create more awareness about the secondary consequences of COVID-19 infection.