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1.
ACS Bio & Med chem Au ; 2(6):627-641, 2022.
Article in English | MEDLINE | ID: covidwho-2185502

ABSTRACT

The SARS-CoV-2 pandemic is an ongoing threat to global health, and the continuing emergence of contagious variants highlights the urgent need for additional antiviral therapy to attenuate COVID-19 disease. The SARS-CoV-2 main protease (3CLpro) presents an attractive target for such therapy due to its high sequence conservation and key role in the viral life cycle. In this study, we designed a fluorescent-luminescent cell-based reporter for the detection and quantification of 3CLpro intracellular activity. Employing this platform, we examined the efficiency of known protease inhibitors against 3CLpro and further identified potent inhibitors through high-throughput chemical screening. Computational analysis confirmed a direct interaction of the lead compounds with the protease catalytic site and identified a prototype for efficient allosteric inhibition. These developments address a pressing need for a convenient sensor and specific targets for both virus detection and rapid discovery of potential inhibitors.

2.
Journal of Pharmaceutical Negative Results ; 13:5586-5595, 2022.
Article in English | EMBASE | ID: covidwho-2206798

ABSTRACT

The COVID-19 pandemic has disrupted the entire human race's routine and put a temporary halt to global interactions. This epidemic has also had a negative influence on academic libraries. This is one of the most serious consequences of the COVID-19 Pandemic for academic libraries, particularly at Malaysia's Institute of Teacher Training. It also, predictably, gives libraries the potential to shift their traditional role in offering services by utilizing the most up-to-date technologies. The purpose of this study was to show how academic libraries use social media platforms to deliver library services, highlighting the importance of strong and structured collaboration to reach customers during this epidemic. At the same time to increase users in the virtual world, promote library services and activities in a more engaging way. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

3.
Journal of Pharmaceutical Negative Results ; 13:5551-5560, 2022.
Article in English | EMBASE | ID: covidwho-2206796

ABSTRACT

The Covid-19 pandemic has caused a fresh shift in the global population today, requiring people to adjust their typical routines and lifestyles. In the last five years, electronic books (e-books) have become a popular reading and reference alternative, particularly for fiction (Jandri, P., et al). (2020). In the academic realm, however, e-books have not had the same level of success in terms of use and acceptability. It will take further research to determine why this is happening among academic users. Because the usage of e-books is new, it has an impact on library services. Because it is new, there is a need to improve library service quality. There are challenges in influencing user behavior in accessing e-content materials. The methodology and procedures used describe the different types of research paradigms and justify the reasons for using each in this study. Therefore, this paper discusses the influence of challenges in influencing user behavior in accessing e-content materials in terms of services in digital libraries in selected universities using questionnaires as a research tool to collect data through Survey Monkey application and Google forms. Structural Equation Model (SEM) - SmartPLS will be used in this study. The quantitative approach is used to measure factors influencing user behavior in accessing and using e-content among trainee students in Teachers' Training Institutes in Malaysia. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

4.
Hepatology ; 76:S536-S537, 2022.
Article in English | Web of Science | ID: covidwho-2156760
5.
European Psychiatry ; 65(Supplement 1):S569-S570, 2022.
Article in English | EMBASE | ID: covidwho-2154120

ABSTRACT

Introduction: The COVID-19 pandemic presented a global publichealth crisis that demanded healthcare to adapt at an unprecedented pace. While challenging, it also created opportunities for the advancement of novel electronic-treatment-modalities. Telepsychiatry has emerged as an effective method to ensure continuity of care and ensure social distancing.1 Studies indicate that mentalhealth patients have higher rates of noncompliance to follow-up,1 thus finding means to increase compliance is critical. Objective(s): The objectives of this study are to determine the impact of telepsychiatry on compliance to follow-up and to identify numbers of psychiatric/medical emergency-room visits, most common contributing factors for admission, and compliance in terms of diagnosis. Method(s): This IRB approved study is a retrospective chart-review, that aims to study children/adolescents (5-18 years) who presented to the Child&Adolescent-Psychiatry Outpatient-clinic from July- December 2020 and engaged in telepsychiatry, compared to a group of patients presented in July-December 2019-Pre-Covid19-Pandemic. A review of clinical characteristics including diagnosis, demographic information, medication, and treatment compliance will be compared as well as admissions to inpatient-psychiatry/ emergency-room visits. Result(s): Our total sample (N=252) included patients from 2019- Pre-COVID19 (N=111) and 2020 Telehealth during COVID19- Pandemic (N=141). Our data analysis using SPSF and T-test has shown that Telehealth has significantly increased follow-up compliance (Two-tailed P-value=0.04);2019-Pre-COVID outreach mean=0.06, 2020-Telehealth-during COVID outreach mean=0.02);significantly decreased ER/CPEP visits (Pvalue= 0.02), and decreased In-patient-unit admissions (Pvalue= 0.02). Conclusion(s): According to the presented study, the incorporation of telepsychiatry has increased the compliance to psychiatric-care in outpatient and decreased the emergency-room visits and inpatient admission. Sufficient resources and steps need to be taken to further strengthen telehealth services.

6.
Information Sciences Letters ; 12(2):889-899, 2023.
Article in English | Scopus | ID: covidwho-2145823

ABSTRACT

This study aims to understand the accounting effects of the Corona pandemic in more depth and clarity, where the study explores the accounting choices during the pandemic period and the impact of the firm's strategic orientation and its social responsibility performance on those choices. Using data from non-financial Saudi companies, the accounting choices divided into aggressive accounting strategy and conservative accounting strategy, and regression models used to examine the study hypotheses. The results of the study provide a clearer and in-depth vision about the nature of accounting practices during the pandemic and indicated that business strategy affects accounting choices, while corporate social responsibility does not affect. The results can imply useful information for the market regulators that help them in controlling and stabilizing the market, as well as for professional accounting organizations to help them issue guidelines for accounting work during crises. © 2023 NSP Natural Sciences Publishing Cor.

7.
Medical Journal of Malaysia ; 77(Supplement 3):50, 2022.
Article in English | EMBASE | ID: covidwho-2092217

ABSTRACT

Introduction: COVID-19 was the most feared infectious disease in the last few years which caused a high number of mortalities. Hospital Sungai Buloh was the main COVID-19 referral centre since the pandemic started. A large database of COVID-19 patients was available for this study and used to describe the rate of mortality among patients who were 40 years and above;who were admitted to Hospital Sungai Buloh during periods of Delta and Omicron predominance. Material(s) and Method(s): Medical records of COVID-19 patients who were admitted in Hospital Sungai Buloh during the period of Delta and Omicron predominance were reviewed retrospectively and analyzed. Result(s): Patient mortality during the period of Delta predominance from May-July 2021 (755 patients) was higher com[pared to the period of Omicron predominance from January-April 2022 (180 cases). Majority of the deceased patients were male (59.1%). Conclusion(s): This descriptive study serves as a baseline research for more studies in future using the same dataset. More data cleaning is required to produce more results.

8.
Medical Journal of Malaysia ; 77(Supplement 3):29, 2022.
Article in English | EMBASE | ID: covidwho-2092216

ABSTRACT

Introduction: During the COVID-19 pandemic, numerous variants of SARS-CoV-2 have emerged that have been found to differ in transmissibility and severity. Assessments of the severity of the SARS-CoV-2 delta and omicron variant are vital to evaluate the public health influence related to its rapid global dissemination. Material(s) and Method(s): Medical records of COVID-19 patients who were hospitalized in Hospital Sungai Buloh during the period of Delta and Omicron predominance were reviewed retrospectively and analyzed. Result(s): Delta wave was studied between May 2021 and July 2021, among the 5815 individuals with SARS-CoV-2 infection, the highest number of cases were seen in May which was 2410 (41.4%) cases followed by 1762 (30.3%) in June and 1643 (28.2%) cases in July. Individuals were vaccinated, and vaccination was associated with a lower risk of hospitalization compared with cases with no doses or only one dose of vaccine. Compared with delta infection, omicron infection was lesser. The Omicron wave was studied between January 2022 and March 2022. Among the 2820 individuals with SARS-CoV-2 infection, the highest number of cases were seen in March which was 1173 (41.5%), followed by 985 (34.9%) cases in February and 662 (23.4%) cases in January. The booster vaccine was started to be administered during this period and reduced equally the risk of symptomatic and asymptomatic infection. Conclusion(s): This descriptive study aids as a baseline study for more studies in the future using the same dataset. Laborious data cleaning is currently in the process to produce more forceful and steadfast results.

9.
Medical Journal of Malaysia ; 77(Supplement 3):45, 2022.
Article in English | EMBASE | ID: covidwho-2092215

ABSTRACT

Introduction: Hospital Sungai Buloh is the main COVID-19 referral centre since the pandemic started. Having a large database of COVID-19 patients, this study describes the demographic characteristics of patients who were admitted to Hospital Sungai Buloh during periods of Delta and Omicron predominance. Material(s) and Method(s): Medical records of COVID-19 patients who were hospitalized in Hospital Sungai Buloh during the period of Delta and Omicron predominance were reviewed retrospectively and analyzed. Result(s): Patient admissions during the period of Delta predominance from May-July 2021 (5815 patients) are higher than during the period of Omicron predominance from January-April 2022 (3144 subjects). Among 8959 COVID-19 patients, 55.6% of them were in the age group 60-79 years old (4977 patients). Majority were male (50.7%), Malaysian (98.5%) and diagnosed as Category 4 COVID-19 upon admission (48.6%). A total of 935 (10.4%) patients died during hospitalisation. Conclusion(s): This descriptive study serves as a baseline research for more studies in future using the same dataset. Rigorous data cleaning is currently being performed to produce more robust and reliable results.

10.
European psychiatry : the journal of the Association of European Psychiatrists ; 65(Suppl 1):S569-S570, 2022.
Article in English | EuropePMC | ID: covidwho-2072748

ABSTRACT

Introduction The COVID-19 pandemic presented a global public-health crisis that demanded healthcare to adapt at an unprecedented pace. While challenging, it also created opportunities for the advancement of novel electronic-treatment-modalities. Telepsychiatry has emerged as an effective method to ensure continuity of care and ensure social distancing.1 Studies indicate that mental-health patients have higher rates of noncompliance to follow-up, 1 thus finding means to increase compliance is critical. Objectives The objectives of this study are to determine the impact of telepsychiatry on compliance to follow-up and to identify numbers of psychiatric/medical emergency-room visits, most common contributing factors for admission, and compliance in terms of diagnosis. Methods This IRB approved study is a retrospective chart-review, that aims to study children/adolescents (5-18 years) who presented to the Child&Adolescent-Psychiatry Outpatient-clinic from July-December 2020 and engaged in telepsychiatry, compared to a group of patients presented in July-December 2019-Pre-Covid19-Pandemic. A review of clinical characteristics including diagnosis, demographic information, medication, and treatment compliance will be compared as well as admissions to inpatient-psychiatry/emergency-room visits. Results Our total sample (N=252) included patients from 2019-Pre-COVID19 (N=111) and 2020 Telehealth during COVID19-Pandemic (N=141). Our data analysis using SPSF and T-test has shown that Telehealth has significantly increased follow-up compliance (Two-tailed P-value=0.04);2019-Pre-COVID outreach mean=0.06, 2020-Telehealth-during COVID outreach mean=0.02);significantly decreased ER/CPEP visits (P-value=0.02), and decreased In-patient-unit admissions (P-value=0.02). Conclusions According to the presented study, the incorporation of telepsychiatry has increased the compliance to psychiatric-care in outpatient and decreased the emergency-room visits and inpatient admission. Sufficient resources and steps need to be taken to further strengthen telehealth services. Disclosure No significant relationships.

11.
Research Journal of Pharmacy and Technology ; 15(8):3717-3724, 2022.
Article in English | EMBASE | ID: covidwho-2067732

ABSTRACT

Background: Health care workers (HCWs), being in the front line dealing with COVID-19 patients, are facing various challenges. Therefore, being aware about COVID-19 is of high importance. The overall aim of this study is to evaluate the HCWs' knowledge and attitude about COVID-19. The objectives of the study are assessment of HCWs' knowledge and attitude about COVID-19 and determining the significant factors that influence their knowledge. Methods and Materials: a descriptive cross-sectional study was carried out among convenient sample (n=353) of HCWs in the UAE by using an online self-administrated questionnaire. The data was analyzed using the SPSS version 26. Mann Whitney u test and Kruskal Wallis test were used to test the differences in quantitative variables across groups. Multivariate logistic regression analysis was used to investigate the association between the knowledge about COVID-19 and significant factors. A p value <0.05 was chosen as the criteria to make decisions regarding statistical significance. Result(s): A total of (353) HCWs participated in the study and completed the whole questionnaire. The average knowledge score was 76.3% with a 95% confidence interval (CI) [75.2%, 77.5%]. Of the total participants, 122 (34.6%) have poor knowledge, 81 (22.9%) have acceptable knowledge and 150(42.5%) have good knowledge. In the present study, significantly higher knowledge scores were observed in Western participants (OR 2.83;95% CI 1.51 - 5.29), General practitioners (OR 1.319;95% CI 1.03 - 1.69), participants working in Dubai (OR 1.47;95 % CI 1.28- 1.69) and participants who had been in contact with suspected or confirmed COVID-19 cases (OR 1.235;95% CI 1.11- 1.37). On the other hand, significantly lower knowledge scores were observed in participants aged 30-39 years (OR 0.760;95% CI 0.647- 0.893), Arabian participants (OR 0.76;95 % CI 0.58- 0.98) and participants with less than 1year experience (OR 0.729;95% CI 0.601- 0.883). Conclusion(s): This study revealed that HCWs working in the UAE have a good level of general knowledge about COVID-19 symptoms, transmission, progression, and prevention. Questions about deeper knowledge revealed a lower level of knowledge. Therefore, tailored awareness campaigns may be required in order to meet HCWs' needs and enhance their levels of deep knowledge. Copyright © RJPT All right reserved.

12.
BMC Gastroenterol ; 22(1): 433, 2022 Oct 13.
Article in English | MEDLINE | ID: covidwho-2064737

ABSTRACT

BACKGROUND: Liver diseases post-COVID-19 vaccination is extremely rare but can occur. A growing body of evidence has indicated that portal vein thrombosis, autoimmune hepatitis, raised liver enzymes and liver injuries, etc., may be potential consequence of COVID-19 vaccines. OBJECTIVES: To describe the results of a systematic review for new-onset and relapsed liver disease following COVID-19 vaccination. METHODS: For this systematic review, we searched Proquest, Medline, Embase, PubMed, CINAHL, Wiley online library, Scopus and Nature through the Preferred Reporting Items for Systematic Reviews and Meta Analyses PRISMA guideline for studies on the incidence of new onset or relapsed liver diseases post-COVID-19 vaccination, published from December 1, 2020 to July 31, 2022, with English language restriction. RESULTS: Two hundred seventy-five cases from one hundred and eighteen articles were included in the qualitative synthesis of this systematic review. Autoimmune hepatitis (138 cases) was the most frequent pathology observed post-COVID-19 vaccination, followed by portal vein thrombosis (52 cases), raised liver enzymes (26 cases) and liver injury (21 cases). Other cases include splanchnic vein thrombosis, acute cellular rejection of the liver, jaundice, hepatomegaly, acute hepatic failure and hepatic porphyria. Mortality was reported in any of the included cases for acute hepatic failure (n = 4, 50%), portal vein thrombosis (n = 25, 48.1%), splanchnic vein thrombosis (n = 6, 42.8%), jaundice (n = 1, 12.5%), raised liver enzymes (n = 2, 7.7%), and autoimmune hepatitis (n = 3, 2.2%). Most patients were easily treated without any serious complications, recovered and did not require long-term hepatic therapy. CONCLUSION: Reported evidence of liver diseases post-COIVD-19 vaccination should not discourage vaccination against this worldwide pandemic. The number of reported cases is relatively very small in relation to the hundreds of millions of vaccinations that have occurred and the protective benefits offered by COVID-19 vaccination far outweigh the risks.


Subject(s)
COVID-19 Vaccines , COVID-19 , Hepatitis, Autoimmune , Liver Failure, Acute , Venous Thrombosis , Humans , Chronic Disease , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , Hepatitis, Autoimmune/complications , Hepatitis, Autoimmune/etiology , Liver Failure, Acute/complications , Vaccination/adverse effects , Venous Thrombosis/complications , Venous Thrombosis/etiology
13.
4th International Conference on Smart Sensors and Application, ICSSA 2022 ; : 114-119, 2022.
Article in English | Scopus | ID: covidwho-2052022

ABSTRACT

Cyberspace is essential for e-business, including small and medium enterprises (SMEs). In reality, SMEs have limited resources for cybersecurity. Furthermore, dealing with the fourth industrial revolution and the post-COVID-19 era, the challenges are not limited to cybersecurity only but also cyber resilience. Over 200 cyber resilience assessment frameworks have been proposed. Thus, SMEs need help to operate cyber resilience as a simple. This paper reviews the technical architectures behind the cyber resilience (CR) to detect processes and monitor assets continuously from incidents in the modeling level. The technical architectures of the CR model are built on five layers. The five layers are services, data, generative models, data analysis, and resilience scale. Machine learning and data mining based a probabilistic model approach works to solve the problem of the CR model. The approach is taken to ensure that the probabilistic model is adaptive in the face of uncertainty. The CR model helps to explain the technical architecture of each layer to realize the probabilistic model in practice. © 2022 IEEE.

14.
International Journal of Electrical and Computer Engineering ; 12(5):5427-5434, 2022.
Article in English | Scopus | ID: covidwho-1988502

ABSTRACT

In December 2019, the coronavirus pandemic started. Coronavirus desease-19 (COVID-19) is transmitted directly from contaminated surfaces via direct touch. To combat the virus, a multitude of equipment is needed. Masks are a vital element of personal protection in crowded places. As a result, determining if a person is wearing a face mask is critical to assimilating to contemporary society. To accomplish the objective, the model presented in this paper used deep learning libraries and OpenCV. This approach was chosen for safety concerns due to its high resource efficiency during deployment. The classifier was built using the MobileNetV2 structure, which was designed to be lightweight and capable of being utilized in embedded devices such as the NVIDIA Jetson Nano to do real-time mask recognition. The stages of model construction were collecting, pre-processing, splitting data, creating the model, training the model, and applying the model. This system utilized image processing techniques and deep learning to process a live video feed. When someone is not wearing a mask, the output eventually produces an alarm sound through a built-in buzzer. Experimental results and testing were used to verify the suggested system's performance. Including both training and testing, the achieved recognition rate was 99%. © 2022 Institute of Advanced Engineering and Science. All rights reserved.

15.
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 ; : 779-783, 2022.
Article in English | Scopus | ID: covidwho-1874169

ABSTRACT

During the COVID-19 pandemic, governments are facing challenges in determining the optimal time to exit the lockdown in their countries. A trade-off between health-related aspects and economic aspects should be achieved.This paper uses a discrete-time Markov Chain (DTMC) SIS model to find the optimal time to stop the lockdown. Two models are proposed: Model 1 assumes that the reproduction number R is constant over time, while Model 2 considers that R is time-dependent. The analysis of Model 1 leads to simple optimal policies. © 2022 IEEE.

16.
International Journal of Early Childhood Special Education ; 14(2):1288-1295, 2022.
Article in English | Web of Science | ID: covidwho-1856282

ABSTRACT

Background: The elevated neutrophil to lymphocyte ratio (NLR) is significantly associated with the mortality and severity of patients with infectious diseases in general.Recent studies have suggested that NLR could be an effective predictor for the mortality of patients with COVID-19 Objective: to assess NLR that can be used as prognostic marker in COVID-19 in order to help physicians to set up early treatment strategies. Methods:A cross-sectional study in isolation hospital of Zagazig University Hospitals after approval by institutional research board (IRB) conducted on 48 confirmed COVID-19 patients,we divided patients into two groups according to severity of symptoms into (mild and severe) Severe patients met at least one of the following conditions: (1) Shortness of breath, RR >= 30 times/min, (2) Oxygen saturation (Resting state) <= 93%. All patients underwent a laboratory investigation with assessment of NLR. Results:There is statistically significant negative correlation between NLR and each of lymphocyte, platelet count, and serum albumin.Regarding respiratory rate and oxygen saturation, there is statistically significant positive correlation between NLR and respiratory rate, whereas negative correlation between NLR and oxygen saturation (r= 0.676, -0.632) respectively.NLR was found to be the strongest predictor 92.3%, accuracy 85.4% (p<0.001). So, according to our study NLR could discriminate COVID-19 severe patients from mild patients. The optimal cutoff of NLR in prediction of severe disease was >= 5.1464 in our study. Conclusion: Elevated NLR was an independent prognostic biomarker for COVID-19 patients. Therefore, the usable NLR are recommended as practical tools to assess prognosis and to evaluate the severity of clinical symptoms in COVID-19 patients.

18.
European Respiratory Journal ; 58:2, 2021.
Article in English | Web of Science | ID: covidwho-1708974
19.
European Respiratory Journal ; 58:2, 2021.
Article in English | Web of Science | ID: covidwho-1701236
20.
Search-Journal of Media and Communication Research ; : 83-89, 2021.
Article in English | Web of Science | ID: covidwho-1695464

ABSTRACT

The media plays many important roles in providing information to the public through various platforms, both in traditional and digital forms. In March 2020, the Malaysian government announced the Movement Control Order (MCO) due to the outbreak of COVID-19. COVID-19 is an infectious disease caused by a newly discovered coronavirus which continues to affect millions of people across the world. Social media platforms have been working diligently in making sure that communities are updated with news regarding personal safety and information on the MCO. The study aims to identify the effectiveness of social media in promoting awareness of the MCO. The study involved 440 respondents from different backgrounds across Malaysia and the data collected was analysed using Statistical Package of Social Science (SPSS) Version 23. Findings indicate that social media has a significant impact in promoting MCO awareness with 34.9% of the variance of MCO awareness explained by the proposed model.

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