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1.
Open Access Macedonian Journal of Medical Sciences ; 9(T5):127-131, 2021.
Article in English | EMBASE | ID: covidwho-1818250

ABSTRACT

BACKGROUND: The significant increase in positive cases of COVID-19 in Indonesia has increased the number of health care personnel, nurses, and physicians who have been exposed to the virus, which raises the psychological burden on health professionals. AIM: This study aims to analyze the relationship between the psychological responses of health professionals and anxiety/depression in the hospital using the Fear of COVID-19 scales and the hospital anxiety and depression scale, respectively. METHODS: The method is quantitative with a cross-sectional survey, which uses an online questionnaire involving about 207 health professionals working at the COVID-19 referral hospital. RESULTS: The result of the Pearson correlation test showed that the highest fear level of health professionals against COVID-19 was 41.5%, while the highest anxiety and depression levels are at the usual level of 76.3% and 60.4%, respectively. There was a direct relationship between the fear of COVID-19 and anxiety or depression, with significant values of 0.000 or 0.026, respectively. CONCLUSIONS: The study showed the significance of the psychological state of health professionals during a pandemic. Therefore, the government must provide mental support to health professionals through counselling and more accurate and up-to-date information.

2.
RSC advances ; 11(43):26524-26533, 2021.
Article in English | EuropePMC | ID: covidwho-1813015

ABSTRACT

The outbreak of COVID-19, caused by SARS-COV-2, is responsible for higher mortality and morbidity rates across the globe. Until now, there is no specific treatment of the disease and hospitalized patients are treated according to the symptoms they develop. Efforts to identify drugs and/or vaccines are ongoing processes. Natural products have shown great promise in the treatment of many viral related diseases. In this work, using in silico methods, bioactive compounds from the neem tree were investigated for their ability to block viral cell entry as spike RBD-ACE2 inhibitors. Azadirachtin H, quentin and margocin were identified as potential compounds that demonstrated viral cell entry inhibition properties. The structural re-orientation of azadirachtin H was observed as the mechanism for viral cell entry inhibition. These compounds possessed good pharmacodynamic properties. The proposed molecules can serve as a starting point towards developing effective anti-SARS-COV-2 drugs targeting the inhibition of viral cell entry upon further in vitro and in vivo validation. The outbreak of COVID-19, caused by SARS-COV-2, is responsible for higher mortality and morbidity rates across the globe.

3.
Central Asia and the Caucasus ; 22(5):1072-1096, 2021.
Article in English | Scopus | ID: covidwho-1669280

ABSTRACT

This research aims to identify the most common online early education patterns and the reasons why parents choose such patterns. It also aims to identify the most significant statistical differences to be applied to parents according academic qualification, number of children they have, and their occupation, following the descriptive methodology. This has been applied to a sample consisting of 252 parents of the children in early years of education. A questionnaire of three dimensions has been used, and it has been consistent with the subject of the research. This research concluded that the most common online early education patterns are exemplified in etting education through electronic devices such as the educational tablet and mobile phones. This pattern received the first place with a percentage of 75.4%., and an arithmetic mean of 2. 26.. The least common education pattern is exemplified in education through audio platforms (The radio and the Broadcasting), receiving the 13th place with a percentage of 43.65% and an arithmetic mean of 1.31. This is because electronic devices make available the opportunity for direct interaction and communication with the learner. This research concludes that there are no significant differences between the individuals of the sample regarding being applicable owing to the research variables. This research recommends that it is necessary to get parents, and their children trained and qualified to employ and use technology in education. © 2021, CA and C Press AB. All rights reserved.

5.
Journal of Legal, Ethical and Regulatory Issues ; 24:1-14, 2021.
Article in English | ProQuest Central | ID: covidwho-1527212

ABSTRACT

The emergence of Covid-19 has accelerated digital transformation, while simultaneously disrupting traditional education. The implementation of distance education practices produced a massive amount of data generated by the deployed learning management systems. Educational data mining tools using machine learning methods can produce thorough student-level insights into what has become known as precision education. This study aims to investigate a convenient approach to analyze a data set of 480 students in the Middle East using three supervised machine learning methods (artificial neural networks, decision trees, and Naive Bayes) to predict overall performance using SPSS. The findings indicate that the naive Bayes algorithm achieved the highest accuracy of 89.85%, while the artificial neural networks algorithm achieved the lowest variance, with a standard deviation of 2.37. Besides, there are more valuable insights beyond accuracy that other Machine learning models can provide in the SPSS environment, such as visual representation and normalized importance of independent variables. Moreover, in the context of missing student data, the data set was evaluated if e-learning parameters alone can predict student performance. The findings suggest that e-learning parameters alone can predict student performance with an average accuracy of 84.49%. This study contributes to limit grade inflation in the age of online learning due to educational malpractices.

6.
J Biomol Struct Dyn ; : 1-11, 2021 Nov 09.
Article in English | MEDLINE | ID: covidwho-1506991

ABSTRACT

As the coronavirus disease 19 (COVID-19) pandemic continues to pose a health and economic crisis worldwide, the quest for drugs and/or vaccines against the virus continues. The human transmembrane protease serine 2 (TMPRSS2) has attracted attention as a target for drug discovery, as inhibition of its catalytic reaction would result in the inactivation of the proteolytic cleavage of the SARS-CoV-2 S protein. As a result, the inactivation prevents viral cell entry to the host's cell. In this work, we screened and identified two potent molecules that interact and inhibit the catalytic reaction by using computational approaches. Two docking screening experiments were performed utilizing the crystal structure and holo ensemble structure obtained from molecular dynamics in bound form. There is enhancement and sensitivity of docking results to the holo ensemble as compared to the crystal structure. Compound 1 demonstrated a similar inhibition value to nafamostat by interacting with catalytic triad residues His296 and Ser441, thereby disrupting the already established hydrogen bond interaction. The stability of the ligand-TMPRSS2 complexes was studied by molecular dynamics simulation, and the binding energy was re-scored by using molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) binding free energy. The obtained compounds may serve as an initial point toward the discovery of potent TMPRSS2 inhibitors upon further in vivo validation.Communicated by Ramaswamy H. Sarma.

7.
ASAIO Journal ; 67(SUPPL 3):13, 2021.
Article in English | EMBASE | ID: covidwho-1481755

ABSTRACT

Introduction: Over the last two decades several ECMO survival predictions scores have been developed, with varying internal and external validation. We sought to evaluate the performance of six widely available scores on both our local COVID-19 database and a large international multicenter dataset. Methods: Using an institutional dataset encompassing 15 hospitals in a bi-state region and an international dataset of 42 countries, International Severe Acute Respiratory and emerging Infections Consortium (ISARIC), we evaluated the performance of ECMOnet, Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP), PRedicting dEath for SEvere ARDS on VV-ECMO (PRESERVE), Sequential Organ Failure Assessment (SOFA), Roch and PREdiction of Survival on ECMO Therapy-Score (PRESET) scores in identifying ECMO survival for COVID-19 patients. Results: We identified a total of 67 local and 1,014 ISARIC COVID-19 patients supported on ECMO, with a mortality rates of 48% and 51% respectively. In the local cohort all scores demonstrated poor overall performance with area under the receiver operative curve (AUROC) values between 0.53-0.61;ECMOnet 0.54, RESP 0.53, PRESERVE 0.59, Roch 0.53, PRESET 0.61 and SOFA 0.59. The ISARIC database contained fewer variables, allowing 4 scores to be evaluated. Again, all scores demonstrated poor performance in identifying non-survivors with AUROC between 0.55-0.66;ECMOnet 0.59, Roch 0.66, PRESET 0.55 and SOFA 0.59. Conclusions: Current ECMO prediction scores have poor accuracy and limited clinical utility when applied to both local and international databases of COVID-19 patients. Future work should focus on developing clinically applicable models to identify COVID-19 patients most likely to benefit from ECMO.

8.
Sci Rep ; 11(1): 18428, 2021 09 16.
Article in English | MEDLINE | ID: covidwho-1415954

ABSTRACT

Here we describe a homogeneous bioluminescent immunoassay based on the interaction between Fc-tagged SARS-CoV-2 Spike RBD and human ACE2, and its detection by secondary antibodies labeled with NanoLuc luciferase fragments LgBit and SmBit. The assay utility for the discovery of novel inhibitors was demonstrated with a panel of anti-RBD antibodies, ACE2-derived miniproteins and soluble ACE2. Studying the effect of RBD mutations on ACE2 binding showed that the N501Y mutation increased RBD apparent affinity toward ACE2 tenfold that resulted in escaping inhibition by some anti-RBD antibodies. In contrast, while E484K mutation did not highly change the binding affinity, it still escaped antibody inhibition likely due to changes in the epitope recognized by the antibody. Also, neutralizing antibodies (NAbs) from COVID-19 positive samples from two distinct regions (USA and Brazil) were successfully detected and the results further suggest the persistence of NAbs for at least 6 months post symptom onset. Finally, sera from vaccinated individuals were tested for NAbs and showed varying neutralizing activity after first and second doses, suggesting the assay can be used to assess immunity of vaccinated populations. Our results demonstrate the broad utility and ease of use of this methodology both for drug discovery and clinical research applications.


Subject(s)
Angiotensin-Converting Enzyme 2/metabolism , Antibodies, Neutralizing/analysis , COVID-19/prevention & control , SARS-CoV-2/metabolism , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/metabolism , Antibodies, Viral/analysis , Brazil , COVID-19/immunology , Humans , Luciferases/genetics , Luciferases/metabolism , Luminescent Measurements , Mutation , Protein Binding , Protein Domains , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Spike Glycoprotein, Coronavirus/genetics , United States , Vaccination
10.
Open Access Macedonian Journal of Medical Sciences ; 9(A):651-658, 2021.
Article in English | EMBASE | ID: covidwho-1403902

ABSTRACT

BACKGROUND: Healthcare workers (HCWs) are at the frontline defense against coronavirus disease 2019 (COVID-19) pandemic. AIM: The study aimed to describe the characteristics and appraise potential risk factors of COVID-19 transmission among HCWs who tested positive for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in one of Cairo University Hospitals. METHOD: Cross-sectional descriptive analysis of confirmed polymerase chain reaction (PCR) positive versus negative cases for COVID-19. RESULTS: Through March–June 2020, (145/846;17%) suspected HCWs were tested for COVID-19 by PCR;out of them (70/145;48.3%) were confirmed as positive, these positive cases represented (70/846;8.3%) of all HCWs of the hospital. About 33% of confirmed COVID-19 positive HCWs acquired the infection from the healthcare while only (13/70;19%) from community settings, and no clear exposure data were identified in (34/70;48%) of cases. Most of symptomatic cases showed a positive PCR test for SARS-CoV-2 versus asymptomatic cases, p < 0.001. There was no statistical significance regarding gender, age, presence of comorbidity, workload or the type of acquisition. CONCLUSION: HCWs are at an increased risk of COVID-19 infection at the workplace. Strict implementation of infection control measures is of crucial role in preventing transmission of COVID-19 infection in health-care settings.

11.
Physical Review X ; 11(3):9, 2021.
Article in English | Web of Science | ID: covidwho-1398211

ABSTRACT

The combination of nontrivial band topology and symmetry-breaking phases gives rise to novel quantum states and phenomena such as topological superconductivity, quantum anomalous Hall effect, and axion electrodynamics. Evidence of intertwined charge density wave (CDW) and superconducting order parameters has recently been observed in a novel kagome material AV(3)Sb(5) (A = K, Rb, Cs) that features a Z(2) topological invariant in the electronic structure. However, the origin of the CDW and its intricate interplay with the topological state has yet to be determined. Here, using hard-x-ray scattering, we demonstrate a three-dimensional CDW with 2 x 2 x 2 superstructure in (Rb, Cs)V3Sb5. Unexpectedly, we find that the CDW fails to induce acoustic phonon anomalies at the CDW wave vector but yields a novel Raman mode that quickly damps into a broad continuum below the CDW transition temperature. Our observations exclude strong electron-phonon-coupling-driven CDW in AV(3)Sb(5) and support an unconventional CDW that was proposed in the kagome lattice at van Hove filling.

12.
Journal of Pure & Applied Microbiology ; 15(3):1634-1642, 2021.
Article in English | Academic Search Complete | ID: covidwho-1395606

ABSTRACT

A wide range of gastrointestinal (GI) illnesses is caused by foodborne bacteria that can arise from either a direct bacterial infection or bacterial toxin ingestion. The treatment of these infections has been hampered by the appearance of resistant strains. This current study aims to investigate the prevalence of Gastrointestinal tract (GIT) infections in Omani patients and their resistance pattern against commonly used antibiotics. Seven hundred and ninety fresh stool samples were obtained from Omani patients attending Sultan Qaboos University Hospital with GI manifestation from the 1st of June to the 30th of November 2019. Bacterial identification in stool samples was carried out by inoculation in culture media, microscopical examination and biochemical tests confirmed by MALDI. BD PhoenixTM. The antibiotics sensitivity testing was carried out by the Manual disk diffusion method and by MALDI. BD PhoenixTM. Out of 790 stool samples, 49 samples were positive for GIT bacterial infections. Salmonella spp. was the most prevalent isolate and more associated with children less than ten years old. Out of the 49 bacterial isolates, 3 (6.1%) were Clostridium difficili, 4 (8.2%) were Shigella flexneri, 5 (10.2%) were Campylobacter jejuni, and different Salmonella spp. serotypes were detected such as Salmonella Kentucky (8.2%), Salmonella enteritidis (6.1%), Salmonella infantis (4.1%), Salmonella welteverden (4.1%), Salmonella typhimurium (4.1%), Salmonella anatum (2.0%), Salmonella tesvia (2.0%), Salmonella Uganda (2.0%), Salmonella Arizona (2.0%) and (40.8%) of other Salmonella spp. serotypes. Eighty percent of isolated Campylobacter jejuni were resistant to Ciprofloxacin and Tetracycline. Salmonella spp. and Shigella flexneri were highly resistant to Amikacin, Gentamicin, and Cefuroxime. The low level of bacterial infection detected among screened patients in the present study indicates the excellent hand washing hygiene practice in reducing GIT infections among patients in Oman. This good hand washing hygiene practice is of great help in the efforts of controlling the spread of other severe diseases like COVID-19. However, detecting the emerging of antibiotic-resistant of GIT bacterial pathogens among patients in Oman, such as Salmonella and Shigella to a commonly used antibiotic such as Gentamicin, is alarming. [ABSTRACT FROM AUTHOR] Copyright of Journal of Pure & Applied Microbiology is the property of Dr. M. N. Khan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

13.
J Am Soc Nephrol ; 32(8): 2048-2056, 2021 08.
Article in English | MEDLINE | ID: covidwho-1305593

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected socially disadvantaged populations. Whether disparities in COVID-19 incidence related to race/ethnicity and socioeconomic factors exist in the hemodialysis population is unknown. METHODS: Our study involved patients receiving in-center hemodialysis in New York City. We used a validated index of neighborhood social vulnerability, the Social Vulnerability Index (SVI), which comprises 15 census tract-level indicators organized into four themes: socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. We examined the association of race/ethnicity and the SVI with symptomatic COVID-19 between March 1, 2020 and August 3, 2020. COVID-19 cases were ascertained using PCR testing. We performed multivariable logistic regression to adjust for demographics, individual-level social factors, dialysis-related medical history, and dialysis facility factors. RESULTS: Of the 1378 patients on hemodialysis in the study, 247 (17.9%) developed symptomatic COVID-19. In adjusted analyses, non-Hispanic Black and Hispanic patients had significantly increased odds of COVID-19 compared with non-Hispanic White patients. Census tract-level overall SVI, modeled continuously or in quintiles, was not associated with COVID-19 in unadjusted or adjusted analyses. Among non-Hispanic White patients, the socioeconomic status SVI theme, the minority status and language SVI theme, and housing crowding were significantly associated with COVID-19 in unadjusted analyses. CONCLUSIONS: Among patients on hemodialysis in New York City, there were substantial racial/ethnic disparities in COVID-19 incidence not explained by neighborhood-level social vulnerability. Neighborhood-level socioeconomic status, minority status and language, and housing crowding were positively associated with acquiring COVID-19 among non-Hispanic Whites. Our findings suggest that socially vulnerable patients on dialysis face disparate COVID-19-related exposures, requiring targeted risk-mitigation strategies.


Subject(s)
COVID-19/complications , COVID-19/epidemiology , Health Status Disparities , Kidney Failure, Chronic/complications , Renal Dialysis , SARS-CoV-2 , Adolescent , Adult , African Americans , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Incidence , Male , Middle Aged , New York City/epidemiology , Pandemics , Residence Characteristics , Retrospective Studies , Risk Factors , Socioeconomic Factors , Vulnerable Populations , Young Adult
14.
Sci Total Environ ; 795: 148834, 2021 Nov 15.
Article in English | MEDLINE | ID: covidwho-1301003

ABSTRACT

Studies have demonstrated that SARS-CoV-2 RNA can be detected in the feces of infected individuals. This finding spurred investigation into using wastewater-based epidemiology (WBE) to monitor SARS-CoV-2 RNA and track the appearance and spread of COVID-19 in communities. SARS-CoV-2 is present at low levels in wastewater, making sample concentration a prerequisite for sensitive detection and utility in WBE. Whereas common methods for isolating viral genetic material are biased toward intact virus isolation, it is likely that a relatively low percentage of the total SARS-CoV-2 RNA genome in wastewater is contained within intact virions. Therefore, we hypothesized that a direct unbiased total nucleic acid(TNA) extraction method could overcome the cumbersome protocols, variability and low recovery rates associated with the former methods. This led to development of a simple, rapid, and modular alternative to existing purification methods. In an initial concentration step, chaotropic agents are added to raw sewage allowing binding of nucleic acid from free nucleoprotein complexes, partially intact, and intact virions to a silica matrix. The eluted nucleic acid is then purified using manual or semi-automated methods. RT-qPCR enzyme mixes were formulated that demonstrate substantial inhibitor resistance. In addition, multiplexed probe-based RT-qPCR assays detecting the N1, N2 (nucleocapsid) and E (envelope) gene fragments of SARS-CoV-2 were developed. The RT-qPCR assays also contain primers and probes to detect Pepper Mild Mottle Virus (PMMoV), a fecal indicator RNA virus present in wastewater, and an exogenous control RNA to measure effects of RT-qPCR inhibitors. Using this workflow, we monitored wastewater samples from three wastewater treatment plants (WWTP) in Dane County, Wisconsin. We also successfully sequenced a subset of samples to ensure compatibility with a SARS-CoV-2 amplicon panel and demonstrated the potential for SARS-CoV-2 variant detection. Data obtained here underscore the potential for wastewater surveillance of SARS-CoV-2 and other infectious agents in communities.


Subject(s)
COVID-19 , Nucleic Acids , Humans , RNA, Viral , SARS-CoV-2
15.
Biosens Bioelectron ; 190: 113439, 2021 Oct 15.
Article in English | MEDLINE | ID: covidwho-1267613

ABSTRACT

The methacholine challenge test is considered to be the gold standard bronchoprovocation test used to diagnose asthma, and this test is always performed in pulmonary function labs or doctors' offices. Methacholine (MCH) acts by inducing airway tightening/bronchoconstriction, and more importantly, MCH is hydrolyzed by cholinesterase enzyme (ChE). Recently, the American Thoracic Society raised concerns about pulmonary function testing during the COVID-19 pandemic due to recently reported correlation between cholinesterase and COVID-19 pneumonia severity/mortality, and it was shown that cholinesterase levels are reduced in the acute phase of severe COVID-19 pneumonia. This work describes the microfabrication of potentiometric sensors using copper as the substrate and chemically polymerized graphene nanocomposites as the transducing layer for tracking the kinetics of MCH enzymatic degradation in real blood samples. The in-vitro estimation of the characteristic parameters of the MCH metabolism [Michaelis-Menten constant (Km) and reaction velocity (Vmax)] were found to be 241.041 µM and 56.8 µM/min, respectively. The proposed sensor is designed to be used as a companion diagnostic device that can (i) answer questions about patient eligibility to perform methacholine challenge tests, (ii) individualize/personalize medical dosing of methacholine, (iii) provide portable and inexpensive devices allowing automated readouts without the need for operator intervention (iv) recommend therapeutic interventions including intensive care during early stages and reflecting the disease state of COVID-19 pneumonia. We hope that this methacholine electrochemical sensor will help in assaying ChE activity in a "timely" manner and predict the severity and prognosis of COVID-19 to improve treatment outcomes and decrease mortality.


Subject(s)
Biosensing Techniques , COVID-19 , Bronchoconstrictor Agents , Humans , Methacholine Chloride , Pandemics , SARS-CoV-2
16.
Informatics ; 8(2):32, 2021.
Article in English | MDPI | ID: covidwho-1224031

ABSTRACT

Recent years have seen an increasingly widespread use of online learning technologies. This has prompted universities to make huge investments in technology to augment their position in the face of extensive competition and to enhance their students’ learning experience and efficiency. Numerous studies have been carried out regarding the use of online and mobile phone learning platforms. However, there are very few studies focusing on how university students will accept and adopt smartphones as a new platform for taking examinations. Many reasons, but most recently and importantly the COVID-19 pandemic, have prompted educational institutions to move toward using both online and mobile learning techniques. This study is a pioneer in examining the intention to use mobile exam platforms and the prerequisites of such intention. The purpose of this study is to expand the Technology Acceptance Model (TAM) by including four additional constructs: namely, content quality, service quality, information quality, and system quality. A self-survey method was prepared and carried out to obtain the necessary basic data. In total, 566 students from universities in the United Arab Emirates took part in this survey. Smart PLS was used to test the study constructs and the structural model. Results showed that all study hypotheses are supported and confirmed the effect of the TAM extension factors within the UAE higher education setting. These outcomes suggest that the policymakers and education developers should consider mobile exam platforms as a new assessment platform and a possible technological solution, especially when considering the distance learning concept. It is good to bear in mind that this study is initial and designed to explore using smartphones as a new platform for student examinations. Furthermore, mixed-method research is needed to check the effectiveness and the suitability of using the examination platforms, especially for postgraduate higher educational levels.

17.
Preprint in English | medRxiv | ID: ppmedrxiv-21256753

ABSTRACT

Studies have demonstrated that SARS-CoV-2 RNA can be detected in the feces of infected individuals. This finding spurred investigation into using wastewater-based epidemiology (WBE) to monitor SARS-CoV-2 RNA and track the appearance and spread of COVID-19 in communities. SARS-CoV-2 is present at low levels in wastewater, making sample concentration a prerequisite for sensitive detection and utility in WBE. Whereas common methods for isolating viral genetic material are biased toward intact virus isolation, it is likely that a relatively low percentage of the total SARS-CoV-2 RNA genome in wastewater is contained within intact virions. Therefore, we hypothesized that a direct unbiased total nucleic acid extraction method could overcome the cumbersome protocols, variability and low recovery rates associated with the former methods. This led to development of a simple, rapid, and modular alternative to existing purification methods. In an initial concentration step, chaotropic agents are added to raw sewage allowing binding of nucleic acid from free nucleoprotein complexes, partially intact, and intact virions to a silica matrix. The eluted nucleic acid is then purified using manual or semi-automated methods. RT-qPCR enzyme mixes were formulated that demonstrate substantial inhibitor resistance. In addition, multiplexed probe-based RT-qPCR assays detecting the N1, N2 (nucleocapsid) and E (envelope) gene fragments of SARS-CoV-2 were developed. The RT-qPCR assays also contain primers and probes to detect Pepper Mild Mottle Virus (PMMoV), a fecal indicator RNA virus present in wastewater, and an exogenous control RNA to measure effects of RT-qPCR inhibitors. Using this workflow, we monitored wastewater samples from three wastewater treatment plants (WWTP) in Dane County, Wisconsin. We also successfully sequenced a subset of samples to ensure compatibility with a SARS-CoV-2 amplicon panel and demonstrated the potential for SARS-CoV-2 variant detection. Data obtained here underscore the potential for wastewater surveillance of SARS-CoV-2 and other infectious agents in communities.

18.
Informatics ; 8(2):24, 2021.
Article in English | MDPI | ID: covidwho-1158927

ABSTRACT

The COVID-19 pandemic not only affected our health and medical systems but also has created large disruption of education systems at school and universities levels. According to the United Nation’s report, COVID-19 has influenced more than 1.6 billion learners from all over the world (190 countries or more). To tackle this problem, universities and colleges have implemented various technologically based platforms to replace the physical classrooms during the spread of Coronavirus. The effectiveness of these technologies and their educational impact on the educational sector has been the concern of researchers during the spread of the pandemic. Consequently, the current study is an attempt to explore the effect of Google Meet acceptance among Arab students during the pandemic in Oman, UAE, and Jordan. The perceived fear factor is integrated into a hybrid model that combines crucial factors in TAM (Technology acceptance Model) and VAM (Value-based Adoption Model). The integration embraces perceived fear factor with other important factors in TAM perceived ease of use (PEOU) and perceived usefulness (PU) on the one hand and technically influential factor of VAM, which are perceived technicality (PTE) and perceived enjoyment (PE) on the other hand. The data, collected from 475 participants (49% males and 51% females students), were analyzed using the partial least squares-structural equation modelling (PLS-SEM). The results have shown that TAM hypotheses of usefulness and easy to use have been supported. Similarly, the results have supported the hypotheses related to VAM factors of being technically useful and enjoying, which helps in reducing the atmosphere of fear that is created due to the spread of Coronavirus.

19.
Medico-Legal Update ; 21(2):36-41, 2021.
Article in English | EMBASE | ID: covidwho-1158706

ABSTRACT

Background: COVID-19 it is the new coronavirus and most cases appeared in the Chinese city, Wuhan at the end of December 2019 in the form of acute pneumonia. It was identified through genetic sequences. It is believed that the originated in animals and most cases appeared in the seafood and animal market in Wuhan. The virus can spread from the infected person to another person through close contact without protection. Aim was to evaluate the effect of an educational intervention nurses’ knowledge and practices regarding Corona virus (COVID-19). Quasi-experimental design (pre and post intervention) was utilized. A total sample of (70) staff nurses were recruited in the study. The study was conducted at General Farasan Hospital. Data were collected through two main tools: A structured self-administered questionnaire, and nurses’ practices toward COVID-19. Results: Revealed that 55.7% of nurses had poor knowledge before intervention. However, 88.6% of them had good knowledge after intervention. As well as, only 7.1% of the studied nurses had competent practices toward covid 19 before training. Meanwhile, after training the competent practices changed to 94.3%. Conclusion: The implementation of an educational intervention was effective and significantly improved nurses’ knowledge and practices towards covid 19.

20.
Studies in Systems, Decision and Control ; 348:223-244, 2021.
Article in English | PMC | ID: covidwho-1156927

ABSTRACT

The recent decade has included huge achievements in the development for information technologies in healthcare. Now, these technologies can be employed as part of the response to the COVID-19 pandemic. Information technologies in healthcare are crucial to store, manage and exchange the clinical data. On the other hand, the success or failure of a specific technology relies on the acceptance to use that technology. There is a need to assess the user’s technology acceptance prior to the development or improvements for that technology. The study objective is to systematically review the studies that empirically had evaluated the acceptance of technology in healthcare through the technology acceptance model (TAM), its extensions and integrated models based on it. Also, the study will highlight the various studied technologies in healthcare arena, and how these technologies can be utilized to provide the health services, as a respond to the on-going pandemic. PRISMA guidelines were used to perform the review;and the search process has been completed using six digital libraries: Google Scholar, PubMed, IEEE Xplore, Springer Link, ACM, and Science Direct. Out of 1768 studies, a total of 99 empirical studies were found to be eligible and included in this study. A thorough statistical analysis was achieved, to understand the situation of technology acceptance as in the recent decade. The analysis included the key factors, as they were extensively utilized to clarify the technology acceptance, along with the key confirmed hypotheses to build robust and valid technology acceptance models in healthcare. It was found that electronic records, tele-medicine and mobile health solutions have attracted the most of researchers in the last ten years. Where the acceptance of those solutions was explored, through various user types and settings, within different countries particularly Taiwan and the United States;who are leading this research domain.

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