Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 37
Filter
1.
Western Pacific Surveillance and Response ; 13(3), 2022.
Article in English | Web of Science | ID: covidwho-2033360

ABSTRACT

Objective: Differences in clinical manifestations between strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported. This retrospective descriptive study compares the clinical and demographic characteristics of all confirmed coronavirus disease (COVID-19) cases admitted to the National Isolation Centre (NIC) in the first wave and at the beginning of the second wave of the pandemic in Brunei Darussalam. Methods: All COVID-19 cases admitted to the NIC between 9 March and 6 May 2020 (first wave) and 7-17 August 2021 (second wave) were included. Data were obtained from NIC databases and case characteristics compared using Student's t-tests and chi-squared tests, as appropriate. Results: Cases from the first wave were significantly older than those from the second wave (mean 37.2 vs 29.7 years, P<0.001), and a higher proportion reported comorbidities (30.5% vs 20.3%, P=0.019). Cases from the second wave were more likely to be symptomatic at admission (77.7% vs 63.1%, P<0.001), with a higher proportion reporting cough, anosmia, sore throat and ageusia/dysgeusia;however, myalgia and nausea/vomiting were more common among symptomatic first wave cases (all P<0.05). There was no difference in the mean number of reported symptoms (2.6 vs 2.4, P=0.890). Discussion: Our study showed clear differences in the profile of COVID-19 cases in Brunei Darussalam between the first and second waves, reflecting a shift in the predominating SARS-CoV-2 strain. Awareness of changes in COVID-19 disease manifestation can help guide adjustments to management policies such as duration of isolation, testing strategies, and criteria for admission and treatment.

2.
5th International Conference on Inventive Computation Technologies, ICICT 2022 ; : 824-830, 2022.
Article in English | Scopus | ID: covidwho-2029243

ABSTRACT

In this article, we are working on a new Pandemic Corona (COVID-19) virus. COVID-19 is an infectious disease that causes serious lung damage. COVID-19 causes a disease in humans and has killed many people around the world. However, the virus has been declared pandemic by the World Health Organization (WHO) and all countries are trying to control and block all locations. In particular, four standard forecasting models have been used: linear regression (LR), logistics regression (LOR) and polynomial regression. Many areas of application that require the identification and hierarchy of threats have long used automatic learning models. [1] Machine-based (ML) analysis methods have been shown to be useful in predicting preoperative outcomes and improving decision-making about future actions. Different forecasting methods are widely used to solve forecasting problems. The purpose of this study was to determine the function of COVID-19 research and machine learning applications and algorithms for various purposes [2]. © 2022 IEEE.

3.
Comparative Research on Educational Policy Responses to the COVID-19 Pandemic: Eastern vs. Western Perspectives ; : 1-16, 2022.
Article in English | Scopus | ID: covidwho-2024484

ABSTRACT

This study investigates Pakistani universities' responses during COVID-19. Permanent faculty members from eight different universities were interviewed for data collection. The participants reported six different strategies that were employed to continue the teaching-learning process during COVID-19: from well-developed LMS to virtually no classes. They also pointed out five main issues and challenges during COVID-19 (i.e., infrastructure and internet-related issues, students' participation and engagement issues, teachers' training and attitudinal issues, quality assurance issues, and lack of uniform policy by HEC). They also feared increased educational disparities due to the digital divide. Although this pandemic has adversely affected the higher education sector in Pakistan, if the policymakers and institutions are willing to learn and innovate, this crisis can be turned into an opportunity. © 2022, IGI Global.

4.
Comparative Research on Educational Policy Responses to the COVID-19 Pandemic: Eastern vs. Western Perspectives ; : 1-344, 2022.
Article in English | Scopus | ID: covidwho-2024483

ABSTRACT

The COVID-19 pandemic has caused unprecedented ripples throughout society, bringing many sectors and fields, including education, to a virtual halt or forcing them to change their working style abruptly. Based on technological advancements, e-learning preparedness, and human and financial resources, higher education systems and universities in Eastern and Western countries have responded differently to this crisis. Comparative Research on Educational Policy Responses to the COVID-19 Pandemic: Eastern vs. Western Perspectives presents global research on the response of higher education to the COVID-19 pandemic from both the East and the West. It sheds light on the relevant challenges, strategies, and effectiveness of the policies set in place in response to the pandemic. Covering topics such as international student-related policies, pedagogical adaptation, and student motivation, this premier reference source is an essential resource for policymakers, government officials, faculty of higher education, students and educators of higher education, libraries, researchers, and academicians. © 2022 by IGI Global. All rights reserved.

5.
Journal of General Internal Medicine ; 37:S331, 2022.
Article in English | EMBASE | ID: covidwho-1995747

ABSTRACT

BACKGROUND: On December 31, 2019, several cases of pneumonia-like illness were attributed to a seafood wholesale market in the Wuhan province of China. On January 7, 2020, public health officials in China confirmed that these cases were caused by the novel severe acute respiratory syndrome coronavirus 2, SARS-CoV-2, also referred to as covid-19. As of December 19, 2021, there have been approximately 827,246 deaths and 51,723,483 cases in the United States. Covid-9 has disproportionately affected the underserved communities. On December 14, 2020, the first coronavirus vaccine was given in United States to Sandra Lindsey, an ICU nurse, in New York City. As of December 19, 2021, approximately 241,205,528 or 72.7% of the population has received at least one dose and overall 203,727,446 or 61.4% of the population has been fully vaccinated against the coronavirus. Mississippi has among the lowest rates of covid-19 vaccination with approximately 1,435,238 or 47% of population being fully vaccinated on December 17, 2021. METHODS: Medical records of all patients admitted at Baptist Memorial Hospital in Desoto, Mississippi. with a diagnosis of covid-19 infection between May 2021 and October 2021 were reviewed. EPIC electronic health records system was used to obtain the patient information. Covid-19 rapid antigen and PCR test results were used for analyzing the information. Patient charts were analyzed to retrieve specific vaccination information: no vaccination, one vaccine, two vaccines, time of last vaccination. Only adults aged 18 years and older were included in this study. RESULTS: 180 of 187 inpatients admitted for Covid-19 infection denied any history of Covid-19 vaccination. 5 of 7 vaccinated patients admitted for Covid19 infection were immunocompromised (cancer chemotherapy, immunosuppressive therapy, etc). Only 2 of vaccinated patients admitted for Covid-19 infection were not immunocompromised. CONCLUSIONS: The best way to prevent coronavirus infection is to get vaccinated. Vaccination prevents mortality and severe illness from Covid-19 infection requiring inpatient hospitalizations. Our study at the largest tertiary care hospital in Desoto, Mississippi, finds that nearly all patients admitted with Covid-19 infection during our study period were either unvaccinated or immunocompromised. Our study reaffirms the that if enough people get vaccinated, the viral transmission rate will slow sand there will be less morbidity and mortality. People who are fully vaccinated are at a much lower risk of getting the virus. “Fully vaccinated” means you have had all doses of the vaccine and it has been at least 2 weeks since the last dose.

6.
International Journal of Hospitality Management ; 106, 2022.
Article in English | Scopus | ID: covidwho-1930879

ABSTRACT

Purpose: This paper aims to empirically assess the impact of Dynamic Capabilities (DC) on the agility and resilience of hotel Supply Chains (SCs) during the COVID-19 pandemic. Design/methodology/approach: We adopted a covariance-based structural equation modeling (CB-SEM) approach. Survey data from 268 respondents of various hotels in the United Arab Emirates (UAE) was collected by operationalizing the theoretical constructs using established scales. Findings: Results showed complete mediation of SC agility for the relationship between seizing, transformation, and resilience. We did not find any support for the mediation of SC agility for the relationship between sensing and resilience. Besides, the moderation of Digital Orientation (DO) for the relationship between SC agility and resilience is also an interesting fining. Research limitations/implications: The primary limitation of our study is that it utilizes cross-sectional data from a single geographic location, and the data was collected at the peak of the pandemic. Practical implications: The empirical support for the generic DCs process's relationship with the adaptive response of hotels during the Covid-19 pandemic underscores the importance of developing organization-wide sensing, seizing, and transformation capabilities Originality/value: The proposed model responds to the recent literature that suggests that a direct measurement of sensing, seizing, and transforming would give a complete picture of how generic DC processes shape the organizational responses to market uncertainties. Also, our conceptualization that SC agility is a necessary intervening step between the DCs sensing seizing and transforming processes and firm resilience is a novel contribution to the literature. © 2022 Elsevier Ltd

7.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925367

ABSTRACT

Objective: To assess the patient satisfaction and access metrics associated with tele-neurology visits during the COVID-19 pandemic in community-based outpatient neurology practice. Background: Tele-neurology implementation during COVID-19 improved patient care, access, and decreased cost to health care, but with certain limitations, including technological barriers and communication issues which are likely to be more prevalent in a rural setting. Design/Methods: Our study was a retrospective analysis of patient access metrics obtained from our EMR and patient satisfaction data obtained from “Press Ganey” software which was ranked based on 22 questions. The data was divided into the pre-COVID 19 (03/2019) and post-COVID 19 phase (03/2020). The tele neurology visits were divided according to each specialty subtype to which the referral was placed. Results: The total volume of tele-neurology visits in the pre-COVID 19 phase was 901, with 687 (76%) completion rates and 277 (59%) female patients. In contrast, the volume increased to 25,825 visits during the post-COVID phase with a completion rate of 21,638 (85%), with 10,141 (62%) female patients. Neurology was able to adopt 48% of the visit type to telemedicine, with 52% being an in-person visit during the post-COVID 19 phase. The over-all score patient satisfaction score in the pre-COVID 19 phase was 91.9% (2744), with the highest rank being ease of scheduling, coming at 11th rank in the national facilities ranking, while the worst being wait time in the clinic at 52. The post-COVID 19 phase showed an overall patient satisfaction score of 91.8% (1627), with recommended clinical practice at 10th rank, while wait time in the clinic came in at 54. Conclusions: Telemedicine was adopted successfully in the neurology outpatient clinic with a statistically significant increase in the tele-neurology visits during the post-COVID 19 phase while keeping patient satisfaction score in the high 90 percentile.

8.
Quantum Science and Technology ; 7(3):6, 2022.
Article in English | Web of Science | ID: covidwho-1915503

ABSTRACT

Historically, science has benefited greatly through the mobility of researchers, whether it has been due to large-scale conflict, the search for new opportunities or a lack thereof. Today's world of strict global immigration policies, exacerbated by the COVID-19 pandemic, places inordinate hurdles on the mobility of all researchers, let alone quantum ones. Exorbitant visa fees, the difficulty of navigating a foreign immigration system, lack of support for researchers' families, and explicit government policy targeting selected groups of immigrants are all examples of things that have severely impacted the ability of quantum researchers to cross both physical and scientific borders. Here we clearly identify some key problems affecting quantum researcher mobility and discuss examples of good practice on the governmental, institutional, and societal level that have helped, or might help, overcome these hurdles. The adoption of such practices worldwide can ensure that quantum scientists can reach their fullest potential, irrespective of where they were born.

9.
Diabetic Medicine ; 39(SUPPL 1):121-122, 2022.
Article in English | EMBASE | ID: covidwho-1868631

ABSTRACT

Objective: The effects of the covid-19 pandemic on mental health have been profound. There is a complex bi-directional relationship between mental health and diabetes self-care. We examined whether covid-19 anxiety syndrome, depression and health anxiety predicted domains of diabetes self-management and investigated whether greater covid-19 anxiety syndrome would independently contribute to poorer diabetes self-care. Methods: We sent surveys to patients attending a London hospital diabetes clinic. Participants (n = 369, mean age 50.5 years, 52.9% female) completed the diabetes self-management questionnaire (DSMQ), the covid-19 anxiety syndrome scale (C-19ASS), which measures perseveration and avoidant maladaptive coping behaviour, assessed with measures of co-existent depression and health anxiety, controlling for age, gender, and social deprivation. Clinical data including pre-and post-lockdown HbA1c measures were obtained from hospital records. Results: Depression scores were much higher than pre-pandemic reports, although the prevalence of covid-19 anxiety syndrome was not higher than measured elsewhere. Both pre-existing health anxiety and depression independently predicted poorer measures of diabetes care, as did lower socioeconomic rank. However, avoidant covid-19 anxiety responses were independently associated with higher diabetes self-care scores. HbA1c levels improved significantly over the UK lockdown in our cohort (p < 0.001). Conclusion: During the height of lockdown our research suggests that avoidant coping behaviours characteristic of the covid-19 anxiety syndrome could work to improve diabetes self-care, at least in the short term. We recommend screening for depression, and we should be aware of the significant minority of patients with covid-19 anxiety syndrome who may now find it difficult to re-engage with face-to- face clinic opportunities.

10.
Frontiers in Education ; 7:13, 2022.
Article in English | Web of Science | ID: covidwho-1855332

ABSTRACT

This descriptive study was conducted to evaluate the factors affecting the quality of online learning of Pakistani students during the COVID-19 pandemic. Developing economies such as Pakistan present a unique context to online education as there is limited access to technology, ITC services, and the internet for the general public. This paper integrates the factors affecting the online learning process of students while taking the situational factors as a boundary condition (moderating variable). Data were collected through a Appendix Questionnaire administered to students studying in different universities in Pakistan. Stepwise linear regression and PROCESS Macro by Hayes (2013) was used for data analysis. Results revealed that university support, instructors' support, and motivational factors predicted the quality of online learning. The situational factors negatively influenced the relationship of instructors' support and motivational factors and the quality of online learning. University support and the quality of online learning relationships were not moderated by situational factors.

11.
Pakistan Armed Forces Medical Journal ; 71(6):2024-2028, 2021.
Article in English | Scopus | ID: covidwho-1841854

ABSTRACT

Objective: To ascertain the immunogenicity and short-term safety of inactivated SARS-CoV-2 Vaccine (Vero Cell), BBIBP-CorV (Sinopharm) in our setup. Study Design: Cross-sectional study. Place and Duration of Study: Combined Military Hospital Sialkot Pakistan, from Feb to Apr 2021. Methodology: A total of 227 health care workers (HCWs) between 18 to 59 years of age were included in the study. Two doses of Inactivated SARS-CoV-2 Vaccine (Vero Cell), BBIBP-CorV were administered to all individuals 21 days apart and they were monitored for any vaccine-related adverse reactions for 7 days after each dose. Neutralizing antibodies (NAbs) in study subjects were detected in three samples i.e. before 1st dose of vaccine, 21 days after 1st dose and 14 days after 2nd dose by Elecsys Anti- SARS-CoV-2 S (Roche Diagnostics). Results: Mean age of individuals in the study was 36.70 ± 18.08 years and most individuals were in the 31-45 years age group. Fatigue and drowsiness were the most common adverse effects experienced by study subjects after 1st and 2nd dose of the vaccine followed by malaise and headache. Only 42 (39%) individuals developed positive neutralizing antibody titers in a sample taken 21 days after 1st dose while all individuals except one (99%) developed positive neutralizing antibody titers in a sample taken 2 weeks after 2nd vaccine dose. Conclusion: Inactivated SARS-CoV-2 Vaccine (Vero Cell), BBIBP-CorV is safe and well-tolerated with very few adverse reactions. Immunogenicity was well achieved as the seroconversion rate was 99% two weeks after 2nd dose of the vaccine. © 2021, Army Medical College. All rights reserved.

12.
ChemBioEng Reviews ; 9(2):212-226, 2022.
Article in English | EuropePMC | ID: covidwho-1837751

ABSTRACT

COVID‐19 has swept across the globe and disrupted all vectors of social life. Every informed measure must be taken to stop its spread, bring down number of new infections and move to normalization of daily life. Contemporary research has not identified waste management as one of the critical transmission vectors for COVID‐19 virus. However, most underdeveloped countries are facing problems in waste management processes due to the general inadequacy and inability of waste management. In that context, smart intervention will be needed to contain possibility of the COVID‐19 spread due to inadequate waste management. This paper presents a comparative study of the artificial intelligence/machine learning based techniques, and potential applications in the COVID‐19 waste management cycle (WMC). A general integrated solid waste management (ISWM) strategy is mapped for both short‐term and long‐term goals of COVID‐19 WMC, making use of the techniques investigated. By aligning current health/waste‐related guidelines from health organizations and governments worldwide and contemporary, relevant research in area, the challenge of COVID‐19 waste management and, subsequently, slowing the pandemic down may be assisted. Pandemic like COVID‐19, call for a greater emphasis on the waste management processes and strategies. This can be efficiently managed by the introduction of technology including artificial intelligence (AI) and machine learning (ML), were made to address the gigantic challenge of halting the spread of the viral disease at a global scale as well as on industry work layouts.

13.
Drugs Context ; 112022.
Article in English | MEDLINE | ID: covidwho-1811229

ABSTRACT

Background: Inhaled nitric oxide (iNO) has been studied in patients with severe acute respiratory distress syndrome (ARDS) due to COVID-19 when it may be too late to impact disease course. This article aims to describe real-world iNO use and outcomes in patients with COVID-19 with mild-to-moderate ARDS in the United States. Methods: This was a retrospective medical chart review study that included patients who were ≥18 years old, hospitalized for COVID-19, met the Berlin ARDS definition, received iNO for ≥24 hours continuously during hospitalization, and had a partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio (P/F ratio) of >100 to ≤300 mmHg at iNO initiation. Outcomes included oxygenation parameters, physician-rated Clinical Global Impression-Improvement (CGI-I) scale scores, and adverse events. Response to iNO was defined as >20% improvement in P/F ratio. Results: Thirty-seven patients at six sites were included. A P/F ratio of ≤100 was the most common reason for exclusion (n=146; 83% of excluded patients). The mean P/F ratio (SD) increased from 136.7 (34.4) at baseline to 140.3 (53.2) at 48 hours and 151.8 (50.0) at 72 hours after iNO initiation. The response rate was 62% (n=23). During hospitalization, no patient experienced adverse events, including methemoglobinaemia, airway injury, or worsening pulmonary oedema associated with iNO. At discharge, 54.0% (n=20) of patients improved or remained stable according to the CGI-I. Conclusion: In patients hospitalized with COVID-19 and mild-to-moderate ARDS, iNO was associated with improvement in the P/F ratio with no reported toxicity. This study provides additional evidence supporting a favourable benefit-risk profile for iNO in the treatment of mild-to-moderate ARDS in patients with COVID-19 infection.

14.
3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 2014-2020, 2021.
Article in English | Scopus | ID: covidwho-1774595

ABSTRACT

Corona Virus Disease (COVID-19) has triggered a global disaster by affecting over 200 countries in a short period of time. It has had a significant impact on both social and economic activities all over the world. Panic selling has been prompted by investors' herd behaviour. As a result, stock markets worldwide have plummeted. The market data is nonlinear and chaotic. Predicting the behaviour of the market in current circumstances is a challenging task.. In this work, improved quality of input data and enhanced feature engineering mechanism is adapted to predict the stock market trend amid COVID-19. Here both classical, as well as ensemble regression models are used to investigate the impact of predictors. The models are evaluated using R- squared metric. The findings of this study highlight that the opening price of the market and total positive cases in India significantly impact the closing price of the Nifty50 index. Furthermore, the linear regression model performed better than other models and achieved an R-squared value of 0.999 for both training and test sets. © 2021 IEEE.

15.
Br J Psychiatry ; 220(3):139, 2022.
Article in English | PubMed | ID: covidwho-1703919
16.
Bioscience Research ; 18:1-9, 2021.
Article in English | Web of Science | ID: covidwho-1619262

ABSTRACT

The novel Corona Virus Disease 2019 (COVID-19) has been spread from the Wuhan city of China has now affected many countries;it is still circulating worldwide. Consecutive studies of finding the RNA of this virus in sewage systems increase renewed interest about COVID-19 faucal transmission and its pathogenic issue on sanitation and wastewater systems. Municipal wastewater is typically remarked as one of the major end routes of different types of emerging contaminants such as pharmaceuticals, endocrine disruptors, antibiotics, micro plastics, pesticide and heavy metal residues associated with antimicrobial resistance. Currently all available, antibodies based and molecular base testing have some limitations for this purpose: whole coronavirus particles instead of pure antigen proteins need to be tested in a short time and take control of the pandemic of COVID-19. The current study helped in understanding, concept and demonstrated the potential of graphene Field Effect Transistor (FET) technology for sensitive and rapid detection of corona viruses. Therefore, extra trustworthy, quick response, economical and broadly accessible analytical devices or diagnostic approaches are crucially required. We have critically reviewed and argued the biomarkers and indicators used for COVID-19 diagnostics or SARS-CoV-2 detection. In this regard, ultrasensitive graphene FET biosensors are powerful tools in early diagnosis of COVID-19 infection via targeting virus S1 protein to assess the clinical progress and offer awareness on severity and critical trends of infection.

17.
Pakistan Journal of Medical and Health Sciences ; 15(11):3132-3135, 2021.
Article in English | EMBASE | ID: covidwho-1614672

ABSTRACT

Introduction: Frontline medical workers are at risk of not just adverse physical outcomes from Corona Virus Disease 2019 (COVID-19) but psychological ones too. Healthcare workers might develop symptoms of Post-traumatic stress disorder, depression, anxiety and substance use disorders. Objective: To assess the mental health status of health care professionals during COVID-19 Pandemic at a tertiary care hospital of Central Punjab. Methodology: Study design: Cross-Sectional study. Study setting: Sheikh Zayed Medical College/Hospital, R.Y.Khan. Study Duration: 20th May 2020 to 20th August 2020. Study subjects: Healthcare professionals including medical and paramedical staff. Sample size: A total of 215 Subjects were included in the study. Sampling technique: Convenient sampling technique. Inclusion criteria: Male and female health care professionals of SZMC/H, R.Y.Khan present in a single working shift. Exclusion criteria: Subjects who refused to give informed verbal consent and those absent from the shift of data collection. Data collection method: Data was collected on pre-designed questionnaire. The questionnaire included information regarding age, sex, job title, working station, etc. Data analysis: Data was entered in and analyzed by using SPSS Version. 21. Numerical variables like age was presented as mean ± standard deviation. Categorical variables like sex, job title, working station were shown as percentages. Results: Our study shows that sex ratio was Male (41.4%) and Female (58.6%). We compared the subjects on variables of Sex, Job title and Ward/Department. The prevalence of depression among Males was Normal 69.7%, Borderline 18.0% and Abnormal 12.4% while in Females it was Normal 56.3%, Borderline 20.6% and Abnormal 23.0%. The prevalence of anxiety among Males was Normal 67.4%, Borderline 18.0% and Abnormal 14.6% while in Females it was Normal 38.1%, Borderline 28.6% and Abnormal 33.3%. Our study on the basis of Job title showed that Medical Staff has prevalence of depression of Normal 67.8%, Borderline 18.3% and Abnormal 13.9% while in Paramedical Staff it was Normal 31.4%, Borderline 25.7% and Abnormal 42.9%. The prevalence of anxiety among Medical Staff was Normal 55.6%, Borderline 22.8% and Abnormal 21.7% while in Paramedical Staff it was Normal 22.9%, Borderline 31.4% and Abnormal 45.7%. On the basis of Wards/Department, the prevalence of Depression in Medicine and Allied was Normal 62.7%, Borderline 23.9% and Abnormal 13.4%;in Surgery and Allied was Normal 67.2%, Borderline 22.4% and Abnormal 10.3%;in Paeds and Gynae/Obs. was Normal 63.5%, Borderline 11.5% and Abnormal 25.0%;in Flu Filter Clinic/Isolation Ward/ICU was Normal 50.0%, Borderline 18.4% and Abnormal 31.6%. The prevalence of Anxiety in Medicine and Allied was Normal 52.2%, Borderline 20.9% and Abnormal 26.9%;in Surgery and Allied was Normal 55.2%, Borderline 24.1% and Abnormal 20.7%;in Paeds and Gynae/Obs. was Normal 46.2%, Borderline 26.9% and Abnormal 26.9%;in Flu Filter Clinic/Isolation Ward/ICU was Normal 44.7%, Borderline 26.3% and Abnormal 28.9%. Conclusion: COVID-19 Pandemic has some major effects on the mental health status of health care professionals in terms of depression and anxiety that need to be addressed by providing better health care facilities, by arranging awareness seminars and counseling sessions.

19.
Arab J Chem ; 13(11): 8069-8079, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-1573726

ABSTRACT

The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that originated in Chinese city of Wuhan has caused around 906,092 deaths and 28,040,853 confirmed cases worldwide (https://covid19.who.int/, 11 September 2020). In a life-threatening situation, where there is no specific and licensed anti-COVID-19 vaccine or medicine available; the repurposed drug might act as a silver bullet. Currently, more than 211 vaccines, 80 antibodies, 31 antiviral drugs, 35 cell-based, 6 RNA-based and 131 other drugs are in clinical trials. It is therefore utter need of the hour to develop an effective drug that can be used for the treatment of COVID-19 before a vaccine can be developed. One of the best-characterized and attractive drug targets among coronaviruses is the main protease (3CLpro). Therefore, the current study focuses on the molecular docking analysis of TAT-peptide47-57 (GRKKRRQRRRP)-conjugated repurposed drugs (i.e., lopinavir, ritonavir, favipiravir, and hydroxychloroquine) with SARS-CoV-2 main protease (3CLpro) to discover potential efficacy of TAT-peptide (TP) - conjugated repurposing drugs against SARS-CoV-2. The molecular docking results validated that TP-conjugated ritonavir, lopinavir, favipiravir, and hydroxychloroquine have superior and significantly enhanced interactions with the target SARS-CoV-2 main protease. In-silico approach employed in this study suggests that the combination of the drug with TP is an excelling alternative to develop a novel drug for the treatment of SARS-CoV-2 infected patients. The development of TP based delivery of repurposing drugs might be an excellent approach to enhance the efficacy of the existing drugs for the treatment of COVID-19. The predictions from the results obtained provide invaluable information that can be utilized for the choice of candidate drugs for in vitro, in vivo and clinical trials. The outcome from this work prove crucial for exploring and developing novel cost-effective and biocompatible TP conjugated anti-SARS-CoV-2 therapeutic agents in immediate future.

SELECTION OF CITATIONS
SEARCH DETAIL