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Background: The COVID-19 pandemic impacted the delivery of cancer care and outcomes in the United States (US). We examined the association between time-varying state-level weekly COVID19 mortality and progression-free survival (rwPFS), time to progression (rwTTP), and survival (rwOS) among pts with advanced non-small cell lung cancer (advNSCLC). Method(s): This retrospective study used the nationwide Flatiron Health electronic health recordderived de-identified database. The cohort included community oncology pts diagnosed with advNSCLC between March 1, 2020 and December 31, 2021 (follow-up through March 30, 2022). We extracted US data on COVID-19 deaths from the COVID-19 Data Repository by the Center for Systems Science and Engineering at Johns Hopkins University. We calculated state-level weekly COVID-19 death rates as weekly COVID-19 deaths per state population size from the 2019 American Community Survey. We categorized rates into quintiles based on all weekly rates during the observation period. Analyses were restricted to treated pts and indexed to start of first-line therapy. For rwPFS analyses, first occurrence of progression or death was considered an event, and pts were censored at last clinic note date. For rwTTP, only progression (not death) was considered an event, and pts with no event were censored at last clinic note date. For rwOS analyses, pts who did not die were censored at last structured activity. We used Cox proportional hazards models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations between weekly time-varying state-level COVID-19 mortality rates and outcomes of rwPFS, rwTTP, and rwOS, adjusted for age at diagnosis, race/ethnicity, and state. Result(s): Among 7,813 advNSCLC pts, the median age at diagnosis was 70 years, the majority of the cohort was non-Hispanic White (59%), had non-squamous cell histology (68%) and a history of smoking (87%). Compared to pts living in states with the lowest quintile of COVID-19 mortality rates (Q1), pts living in states with the highest COVID-19 mortality (Q5) had worse rwOS (Q5 vs. Q1: HR 1.46, 95% CI 1.26-1.69) and rwPFS (Q5 vs. Q1: HR 1.18, 95% CI 1.05-1.33). No association was observed with rwTTP (Q5 vs. Q1: HR 1.05, 95% CI 0.90-1.22). Conclusion(s): In this study of real-world oncology data, we demonstrated the use of publicly-available COVID-19 mortality data to measure the time-varying impact of COVID-19 severity on outcomes in pts with advNSCLC. Higher state-level COVID-19 mortality rates were associated with worse rwOS and rwPFS among advNSCLC pts. The association with increased mortality among pts with advNSCLC may be related to COVID-19-related mortality or other factors such as pre-existing comorbidities which were not explored in this study.
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Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). The papain-like protease (PLpro) domain of Nsp3 from SARS-CoV-2 is essential for viral replication. In addition, PLpro dysregulates the host immune response by cleaving ubiquitin and interferon-stimulated gene 15 protein (ISG15) from host proteins. As a result, PLpro is a promising target for inhibition by small-molecule therapeutics. Here we have designed a series of covalent inhibitors by introducing a peptidomimetic linker and reactive electrophile onto analogs of the noncovalent PLpro inhibitor GRL0617. The most potent compound inhibited PLpro with k inact /K I = 10,000 M - 1 s - 1 , achieved sub-microM EC 50 values against three SARS-CoV-2 variants in mammalian cell lines, and did not inhibit a panel of human deubiquitinases at > 30 microM concentrations of inhibitor. An X-ray co-crystal structure of the compound bound to PLpro validated our design strategy and established the molecular basis for covalent inhibition and selectivity against structurally similar human DUBs. These findings present an opportunity for further development of covalent PLpro inhibitors.
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False claims or Fake News related to the health care or medicine field on Social Media have garnered increasing amounts of interest, especially in the aftermath of the COVID-19 pandemic. False claims about the pan-demic which spread on social media have contributed to vaccine hesitancy and lack of trust in the advise of medical professionals. If not detected and disproved early, such claims can complicate future pandemic responses. We focus on false claims in the field of Neurodevelopmental Disorders (NDDs), which is an umbrella term for a group of disorders that includes Autism, ADHD, Cerebral Palsy, etc. In this paper we present our approach to automated systems for fact-checking medical articles related to NDDs. We also present an annotated dataset of 116 web pages which we use to test our model and present our results. © 2022 IEEE.
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Purpose: Between 2008 and 2014 approximately 32.5 million adults in the United States reported a diagnosis of osteoarthritis (OA). The 2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis (OA) of the hand, hip and knee recommend treating pain due to OA with analgesic therapy as part of multi-modal treatment program. A national survey conducted by the Centers for Disease Control found that patients with OA were likely to delay care during the pandemic. Given this new barrier to healthcare, access to analgesic therapy may have become even more limited. This study aimed to evaluate changes in analgesic prescribing practices for OA as a result of the COVID-19 pandemic. Method(s): A retrospective analysis was performed to identify new prescriptions, number of doses per order and refills of 73 topical and oral analgesics from encounters for OA. OA encounters were identified using 206 ICD-10 codes for OA from July 2019 to June 2021 at UC Davis Hospital and affiliated outpatient centers. Pre-pandemic data corresponds to 2019 data and data collected after this occurred during the pandemic. Counts of new prescriptions, number of doses per order and refills by fiscal quarter were analyzed using a two-factor Poisson Regression with an interaction between quarter and year with corresponding contrasts to detect a difference between 2019 and 2020 as well as 2019 and 2021 and quarters between these years. A follow-up Sidak step-down p-value adjustment was used to correct for type I error. All statistical analyses were done with a two-sided alpha of 0.05. The Poisson Regression was performed with SAS software for Windows version 9.4 (SAS Institute Inc., Cary, NC). Result(s): A total of 31,532 encounters with a primary diagnosis of OA occurred from July 2019 to June 2021. There was an increase in the number encounters with a primary diagnosis of OA (Figure 1) but there was no statistical difference in the medications ordered from 2019 to 2020, 2019 to 2021, and the quarters between these years as well. After adjusting for Type I error, there was a significant decrease in medication refills from 2019 to 2020 (p-value 0.0031, adjusted p-value 0.0425) as well as from 2019 to 2021 (p-value <0.0001, adjusted p-value 0.003) (Figure 2), and there was a significant decrease in number of doses of analgesia from 2019 to 2020 and an increase in number of doses from 2019 to 2021 (p-value <0.0001, adjusted p-value 0.003) (Figure 3). Conclusion(s): The COVID-19 pandemic has persistent impacts on the prescribing practices of analgesics for the treatment of OA. Our data suggests that since the COVID-19 pandemic, patients with OA were overall provided with more doses of analgesics and fewer refills. It is likely that barriers imposed by COVID-19 resulted in these changes in the way analgesics are provided for the treatment of OA. [Formula presented] [Formula presented] [Formula presented]Copyright © 2023
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The early detection and diagnosis of novel coronavirus disease 2019 (COVID-19) are required to cure the disease. Metaheuristic techniques can be used to develop an automated tool for detecting the symptoms of an infected person and provide appropriate precautionary measures. The metaheuristic-based software can be designed to analyze the radiographic patterns of infected individuals and determine the severity of COVID-19 infection. The genome structure of coronavirus can be easily understood through metaheuristic techniques. Based on the genome structure, an ef-fective drug combination can be explored by using metaheuristics for the treatment of COVID-19.Copyright © 2021 Bentham Science Publishers.
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The COVID-19 epidemic has caused an unprecedented level of difficulty for the entire world, stopping life and taking thousands of lives. Since COVID-19 has spread to 212 countries and territories and has resulted in 5,212,172 infected cases and 334,915 fatalities, it continues to pose a serious threat to public health. This study proposes a solution to battle the infection using Artificial Intelligence. It has been shown that some Deep Learning techniques, including Long-Short Term Memory, Extreme Learning Machines, and Generative Adversarial Networks, can accomplish this goal. It is informatics techniques in various informational facets from numerous structured & unstructured Data-Sources are combined to produce user-friendly platforms for medical professionals & researchers. The primary benefit of these AI-based platforms is that they speed up the process of diagnosing and treating COVID-19 illness. The most recent related publications and medical reports were examined in order to identify network sources & objectives that might assist in the construction of a feasible Artificial Neural Network based solution for COVID-19 issues. © 2022 IEEE.
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Objectives: Over the past 2 years, many infection prevention and control (IPC) resources have been diverted to manage the COVID-19 pandemic. Its impact on the incidence of antimicrobial-resistant organisms has not been adequately studied. We investigated the impact of the pandemic on the incidence of carbapenem-resistant Enterobacterales (CRE) in Singapore. Methods: We extracted data on unique CRE isolates (clinical and/or surveillance cultures) and patient days for 6 public hospitals in Singapore from the carbapenemase-producing Enterobacteriaceae (CaPES) study group database, and we calculated the monthly incidence of CRE (per 10,000 patient days). Interrupted time-series (ITS) analysis was conducted with the pre–COVID-19 period defined as before February 2020, and the COVID-19 period defined as after February 2020. Statistical analyses were performed using Stata version 15 software. Results: From January 2017 to March 2021, 6,770 CRE isolates and 9,126,704 patient days were documented. The trend in CRE monthly incidence increased significantly during the pre–COVID-19 period (0.060;95% CI, 0.033–0.094;P < .001) but decreased during the COVID-19 period (−0.183;95% CI, −0.390 to 0.023;P = .080) without stepwise change in the incidence (−1.496;95% CI, −3.477 to 0.485;P = .135). The trend in monthly incidence rate of CRE clinical cultures increased significantly during the pre–COVID-19 period (0.046;95% CI, 0.028–0.064;P < .001) and decreased significantly during COVID-19 period (−0.148;95% CI, −0.249 to −0.048;P = .048) with no stepwise change in the incidence (−0.063;95% CI, −0.803 to 0.677;P = .864). The trend in monthly incidence rate of CRE surveillance cultures decreased during the pre–COVID-19 period (−0.020;95% CI, −0.062 to 0.022;P = .341) and the COVID-19 period (−0.067;95% CI, −0.291to 0.158;P = .552) without stepwise change in the incidence (−1.327;95% CI, −3.535 to 0.881;P = .233). Conclusions: The rate of CRE in clinical cultures decreased during COVID-19 but not the rate in surveillance cultures. Further studies are warranted to study the impact of COVID-19 on CREs.(DUPLICATE DELETED)
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During any emergency, a donation is considered a moral responsibility all over the globe. The lack of transparency and oversight in charity donations hurts people’s enthusiasm to donate. Donors are distrustful about how their funds are utilized. The use of blockchain technology (BCT) will provide a solution to make the donation procedure more viable. It is a distributed technology that offers a secure and transparent environment by avoiding the involvement of third parties between contributors and charities. This article proposed a blockchain-based donation mechanism for the convenience of charity organizations, donors, and beneficiaries during disasters, pandemics such as Covid-19, and other emergencies. All transactions can be traced in blockchain, giving donors visibility into where and how their funds are utilized. This article contributes to improving donations’openness to strengthen public interest in donations and encourage BCT in charity. Ethereum blockchain is used to implement the proposed framework and provides a convenient donation platform. Smart contracts are used to make donations, which build trust between contributors, beneficiaries, and charity organizations. The blockchain-based donation method saves time, lowers donation costs, and eliminates the chances of dubious campaign funds. This study will contribute to improving emergency recovery efforts. IEEE
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COVID-19 is the highly communicable disease which is being announced as pandemic by WHO. The disease has already impacted the economies of big nations like China, Italy, United states etc and now this disease is hitting our developing country i.e. India too. COVID-19 or Corona virus is human to human spread disease and thus social distancing is the only measure which everyone can take to minimize its spread. National lockdown is the measure taken by Government to create distance among people. But what will be the probable impact of this lockdown on different sectors of our country. This paper aims to analyze impact of COVID-19 on the educational sector of India. Copyright © 2023 Authors. All rights reserved.
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COVID-19 is the highly communicable disease which is being announced as pandemic by WHO. The disease has already impacted the economies of big nations like China, Italy, United states etc and now this disease is hitting our developing country i.e. India too. COVID-19 or Corona virus is human to human spread disease and thus social distancing is the only measure which everyone can take to minimize its spread. National lockdown is the measure taken by Government to create distance among people. But what will be the probable impact of this lockdown on different sectors of our country. This paper aims to analyze impact of COVID-19 on the educational sector of India. Copyright © 2023 Authors. All rights reserved.
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During any emergency, a donation is considered a moral responsibility all over the globe. The lack of transparency and oversight in charity donations hurts people's enthusiasm to donate. Donors are distrustful about how their funds are utilized. The use of blockchain technology (BCT) will provide a solution to make the donation procedure more viable. It is a distributed technology that offers a secure and transparent environment by avoiding the involvement of third parties between contributors and charities. This article proposed a blockchain-based donation mechanism for the convenience of charity organizations, donors, and beneficiaries during disasters, pandemics such as Covid-19, and other emergencies. All transactions can be traced in blockchain, giving donors visibility into where and how their funds are utilized. This article contributes to improving donations' openness to strengthen public interest in donations and encourage BCT in charity. Ethereum blockchain is used to implement the proposed framework and provides a convenient donation platform. Smart contracts are used to make donations, which build trust between contributors, beneficiaries, and charity organizations. The blockchain-based donation method saves time, lowers donation costs, and eliminates the chances of dubious campaign funds. This study will contribute to improving emergency recovery efforts.
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The aim of this study is to understand the effects of covid-19 on docile relationships and mental health. The pandemic was an unacceptable development in people's lives throughout the globe. The pandemic had a major impact on the social behavior of the people. This study explores the social relationship and mental health domain of individuals and how it changed after the pandemic. The impact of being isolated from the world. And social interactions will also be explored in this paper. The study shows that the world will never be the same after the pandemic and that the lockdown has changed people emotionally and mentally. Copyright © 2022, Anka Publishers. All rights reserved.
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Rhino-orbital mucormycosis is a rare life threatening invasive fungal infection that has recently shown a very high mortality rate in India during COVID-19 pandemic. We have designed the present study to find out associations between COVID-19 induced rhino-orbital mucormycosis and concentrations of inflammatory markers, i.e. D-dimer, Ferritin, IL-6, CRP and PCT, in blood serum of Indian population. There were four groups in the study, viz. control group with healthy subjects, treatment group-1 with patients suffering from SARS-COV-2 infection, treatment group-2 with patients suffering from both SARS-COV-2 infection and rhino-orbital mucormycosis, and treatment group-3 with patients suffering from rhino-orbital mucormycosis after SARS-COV-2 infection recovery. Inflammatory markers were quantified with standard protocols, and recorded data were subjected to statistical analyses. We found that patients suffering from SARS-COV-2 infection were more susceptible to rhino-orbital mucormycosis, as they had higher concentrations of inflammatory markers in their blood than the other subjects. Diabetes mellitus, hypertension, cardiovascular diseases and renal disorders were the associated comorbidities with the patients. We also found higher concentrations of inflammatory markers in males than the females, indicating towards their higher susceptibility in developing rhino-orbital mucormycosis than females. Present study therefore suggests that the frequent occurrence of rhino-orbital mucormycosis in India during second wave of COVID-19 was possibly due to indiscriminate use of corticosteroids by COVID-19 patients. Subjects with previous history of comorbidities like diabetes mellitus, hypertension, cardiovascular disorders and renal diseases are the most susceptible population groups for developing infection. Moreover, males are at higher risk of developing mucormycosis than the females. © 2022 Innovative Publication, All rights reserved.
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Background: The COVID-19 pandemic has affected almost 100 million people worldwide. Although the disease spectrum has still not been fully understood, there have been the reports of the persistence of symptoms well beyond the acute stage or after discharge from the hospital. Therefore, there is a need to document the persistence of symptoms to identify and provide physical as well as psychosocial support for ensuring the complete recovery of COVID-19 survivors. The present study examines the postacute stage persistence of symptoms in severe acute respiratory syndrome-coronavirus-2 patients. Materials and Methods: A longitudinal follow-up study was conducted on 1170 patients discharged from COVID hospital. All the study participants were contacted after discharge and at 7-day intervals for 42 days, and details of the persistence of symptoms were sought from them. Results: It was found that 43.8% of patients had persistence of symptoms, and 12.4% had symptoms even after 30 days of discharge from the hospital. Among symptoms, the most common persisting symptom was found to be fatigue (26%) followed by respiratory difficulty. The presence of comorbidity (odds ratio 1.61, 95% confidence interval 1.56-2.25, P < 0.01) and moderate/severe disease were found to be independent risk factors for the persistence of COVID-related symptoms. Conclusion: The findings of the study indicate that a large number of COVID-19 survivors continue to suffer from COVID-19 symptoms well after the recovery from the acute stage (discharge from hospital). Therefore, there is a genuine need for instituting measures for the monitoring of patients postdischarge and if required providing treatment to those having persistent symptoms of COVID-19. © 2022 by the Author(s).
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Context: Coronavirus Disease 2019 (COVID-19) has profound hematopoietic manifestations reflected in complete blood count (CBC) parameters and peripheral blood morphology. Aims: We aimed to evaluate CBC and peripheral blood morphology in COVID-19 patients and correlated them with severity, progression, and mortality. Settings and Design: Prospective observational study. Methods and Materials: Baseline and sequential blood samples were collected in 197 hospitalized COVID-19 patients, and CBC and morphology were assessed and compared with severity, progression, and survival. Statistical Analysis Used: Independent samples t-test for parametric continuous and Chi-Square and Fisher Exact for categorical variables. Results: Of the 197 patients, 84 (42.6%) were non-severe and 113 (57.4%) severe. The severe group displayed higher mean Total leukocyte count (TLC) (mean 11,772/μL SD 5445 vs. mean 7872/μL SD 3789, P < 0.0001), neutrophils (mean 81.2% SD 17.01 vs. mean 59.8% SD 14.55, P < 0.0001), and Red Cell Distribution Width-Standard Deviation (RDW-SD) (mean 30.04 SD 17.1 vs. mean 16.95 SD 6.63, P < 0.0001) with lymphopenia (mean 12.86% SD 15.41 vs. mean 30.64% SD 13.23, P < 0.0001) and monocytopenia (mean 4.62% SD 3.56 vs. mean 7.23% SD 3.06, P < 0.0001). The severe group had significantly more pseudo Pelger-Huet (62.8% (71/113) vs. 22.9% (14/61), P < 0.0001), abnormal nuclear projections (27.4% (31/113) vs. 3.3% (2/61), P < 0.0001), elongated nucleoplasm (17.7% (20/113) vs. 3.3% (2/61), P = 0.0073), shift to left (100% (113/113) vs. 21.3% (13/61), P < 0.0001), prominent granules (100% (113/113) vs. 85.2% (52/61), P < 0.0001), cytoplasmic vacuolations (100% (113/113) vs. 50.8% (31/61), P < 0.0001), ring (8.3% (3/113) vs. 4.9% (3/61), P = 0.0117), fetoid (15.04% (17/113) vs. 1.6% (1/61), P = 0.039), and nucleolated forms (53.9% (61/113) vs. 21.3% (13/61), P < 0.0001) with red cell agglutination (8.8% (10/113) vs. 0% (0/61), P = 0.0154) than non-severe patients. The non-severe group showed lympho-plasmacytoid (98.4% (60/61) vs. 37.2% (42/113), P < 0.0001), monocytoid (96.7% (59/61) vs. 25.7% (29/113), P < 0.0001), apoptotic (100% (61/61) vs. 17.6% (20/113), P < 0.0001), and nucleolated lymphocytes (78.7% (48/61) vs. 5.3% (6/113), P < 0.0001) with prominent granules (80.3% (49/61) vs. 12.4% (14/113), P < 0.0001), cytoplasmic vacuolations (83.6% (51/61) vs. 30.1% (34/113), P < 0.0001), and plasma cells (45.9% (28/61) vs. 19.5% (22/113), P = 0.0004). The progressors (9/84) had baseline leukocytosis (TLC mean 15,889/cu mm SD 4163.96 vs. mean 6940.27/cu mm SD 2381.59, P < 0.0001) and lymphopenia (lymphocyte% mean 18.11% SD 10.75 vs. mean 32.1% SD 12.75, P = 0.0022) with elevated RDW-SD (P = 0.032) at 7 th to 10 th day of illness. The 14 non-survivors had significant thrombocytopenia (mean 63.35 × 10 3 /μL SD 30.72 vs. mean 230.77 × 10 3 /μL SD 98.77, P < 0.0001) with lymphocytes nadir at day 9 without recovery versus day 7 to 8 nadir before recovery in survivors. Conclusions: The peripheral blood morphological features are distinct in severe and non-severe COVID-19 patients and baseline leukocytosis, lymphopenia, and elevated RDW-SD at day 7 of illness are useful indicators of disease progression. © 2022 Medical Journal of Dr. D.Y. Patil Vidyapeeth ;Published by Wolters Kluwer - Medknow.
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Aims: In qualitative research, descriptive text with or without excerpts or patient quotes is used to highlight key findings. Data visualization techniques can be used to efficiently communicate insights from large amounts of text data. However, their use in the context of qualitative research for patient-reported outcome measure (PROM) development is still scarce. The primary purpose of this study was to review the recent literature to get a sense of the data visualization techniques most used to illustrate PROM development studies. Method(s): A PubMed search (2010-2021) with the search terms ''patient-reported outcomes'' or ''self-report measures'' and ''development'' was conducted to identify the top 10 journals (by frequency of relevant publications) that were not specific to therapeutic areas). Studies published in the aforementioned journals that reported qualitative methods to develop a PROM were included in the review. Studies that used qualitative approach to develop conceptual frameworks for quality of life or well-being relative to a health condition or treatment or overall, with the objective of developing a PROM were also included. The title and , full-text screening, and data extraction were completed in duplicate by two independent reviewers using the software package Covidence. Information pertaining to form (e.g., word clouds, bar charts) and the effectiveness (e.g., simplicity of visuals, captioning, use of text) of the visualization approach was extracted. Result(s): The search yielded 3816 unique s. After the eligibility criteria were applied, 355 were screened for full text, out of which 323 were included in the review. A total of 142 studies included some form of visualization of the qualitative data. We found bar charts were most used to describe the frequency of a concept being elicited in an interview at the level of the participant sample and few studies used flow charts to illustrate the relationship between concepts. Most studies failed to meet the good data visualization principles for effective communication of text data. Computational approaches to categorizing and visualizing text data (e.g., sentiment analysis, topic modeling) were largely underused. Conclusion(s): This review highlights the urgent need for using effective data visualization techniques for qualitative research for PROM development.
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Sudden change in education system from offline to online educating system due to pandemic (Covid 19) had a drastically impact on way of teaching methodologies in school and colleges. Black board teaching is replaced by a online teaching by using of various app or software program like-blackboard, Google meet and zoom etc. It was a new experience for teachers and as well as for student. Instant transformation of in-person teaching to e-learning has increased the academic demand of school student's entails rigorous work (assignments, tests and writing examinations). These academic tasks involve the constant use of the computers;as such students spend most of their times in computer laboratories. Several reasons could be advanced to explain the prevalence of musculoskeletal problems among the school students. Copyright © 2022, Anka Publishers. All rights reserved.
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With the emergence of the pandemic disease covid 19 in the year 2019, disease had a devastating and life-threatening impression in the second wave that has calamitously ascended the number of cases of the disease called Mucormycosis all over the world and including our country, India. Being the most infrequent fungal infection, it was seen as the most rapidly occurring fulminating disease among the patients who were recovering from recent SARS-CoV-2 infection. The most common form of this infection is seen in the rhinomaxillary region and in patients who were immunocompromised such as diabetes. This article will highlight the various characteristic oral features of Mucormycosis with the CBCT characteristic features that have been observed in 6 different cases of recovered COVID-19 patients, with few patients having a history of diabetes.
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Prolonged high-flow nasal oxygenation (HFNO), or non-invasive ventilation (NIV), or endotracheal intubation with prone ventilation in COVID-19 patients may result in pressure sores or ulcers at points on sustained pressure at patient-equipment interphase. Expert nursing care and following the relevant guidelines can prevent the development of such injuries. Copyright © 2022 Faculty of Anaesthesia, Pain and Intensive Care, AFMS. All rights reserved.
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The extended periods of absence from physical laboratories due to school closures in COVID-19 pandemic has shortened the contact hours required to develop essential practical skills. This research investigates the perceived effectiveness of upper secondary teachers on virtual labs due to this circumstance. The research participants are subject-matter physics specialists who have been teaching upper secondary students in both learning environments, physical and online. The instruments used in this research are survey, an open-ended questionnaire, and a semi-structured interview protocol. The findings of this research postulated that teaching physics practical skills using virtual laboratories has its limitations, however, the disruption caused by the COVID-19 pandemic has encouraged teachers to explore opportunities that are more effective in teaching physics practical skills. Nevertheless, the effectiveness of teaching physics practical skills using virtual laboratories is confined by the inability to provide students with a similar experience to the traditional labs. Despite its limitations, teaching physics practical skills using virtual laboratories is effective in supporting students through memorizing and comprehending practical skills. The research also revealed that teaching physics practical skills using virtual laboratories is an effective method of encouraging students to apply their existing knowledge and comprehension to unfamiliar situations and draw connections to analyze the physics phenomena. © 2022, International Journal of Information and Education Technology. All rights reserved.