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Objectives: Severe acute respiratory syndrome-coronavirus 2/COVID-19 infection is still a global concern, with pregnant women are considered as vulnerable population. Until now, the characteristics of pregnant women in Indonesia who are infected with COVID-19, as well as pregnancy and neonatal outcomes, are still unknown. This study aims to obtain national data, which are expected to be useful for the prevention and management of COVID-19 in pregnant women in Indonesia. Method(s): There were 1,427 patients recruited in this retrospective multicenter study. This study involved 11 hospitals in 10 provinces in Indonesia and was carried out using secondary patient data from April 2020 to July 2021. COVID-19 severity was differentiated into asymptomatic-to-mild symptoms and moderate-to-severe symptoms. The collected data include maternal characteristics, laboratory examinations, imaging, pregnancy outcomes, and neonatal outcomes. Result(s): Leukocyte, platelets, basophil, neutrophils segment, lymphocytes, monocytes, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, alanine aminotransferase (ALT), aspartate aminotransferase (AST), C-reactive protein (CRP), urea, and creatinine were found to be significantly associated with severity differences (p < 0.05). Moderate-severe symptoms of COVID-19 also shown to have suggestive pneumonia findings on chest X-ray findings. Patients with asymptomatic-to-mild symptoms had significantly (p < 0.001) higher recovery rate, shorter hospital stay, less intensive care unit (ICU) admission, and had more vaginal delivery. Neonates from mother with mild symptoms also had significantly (p < 0.001) higher survival rate, higher birth weight, and higher APGAR score. Conclusion(s): Several laboratory and radiology components, as well as maternal and neonatal outcomes are related to the severity of COVID-19 in pregnant women in Indonesia.Copyright © The Author(s). 2023.
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Background: E-learning was widely used in universities during the COVID-19 epidemic to guarantee students' ongoing education and learning. This systematic review summarizes and synthesizes evidence elucidating the association between e-learning during the COVID-19 pandemic and anxiety among university students. Methods: A systematic search from five databases (PubMed, Wiley, Science Direct, EBSCO, and Scopus) was done, with the last search conducted on the 30th of November 2021. Full-text English articles published from November 2019 to November 2021. Mostly cross-sectional study designs were included, excluding non-peer-reviewed documents and non-English language studies. The data was recorded in the data extraction form, and all seven articles were assessed for quality using the Joanna Briggs Institute (JBI) Checklist for Analytical Cross-Sectional studies. Results: The search yielded seven eligible articles, with a total of 12,481 participants. Four articles aimed to determine the direct association between e-learning and anxiety levels. While three aimed to identify e-learning as a potential stressor during the COVID-19 pandemic, which is associated with anxiety levels. Five different tools were used to measure anxiety in the chosen articles. Four out of seven articles reviewed in this systematic review concluded that e-learning was significantly associated with anxiety. The remaining three found no association. Several factors were found to be associated with anxiety due to e-learning: females, sex/gender minorities, younger students, medical students, and staying alone. Conclusions: University students reported mild to high levels of anxiety during the COVID-19 pandemic. The effect of e-learning on anxiety levels is determined by the diverse socio-demographic backgrounds. Internet connectivity and facilities also contributed to anxiety levels during e-learning. Limitations of this review include selection bias, small sample size, and the cross-sectional study designs, which could not establish a causal relationship. Evidence from stronger study designs is needed to confirm the association and establish a causation link of anxiety due to e-learning methods. © Journal of Public Health and Emergency. All rights reserved.
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We test interaction between the oil price shocks and inflation in the ASEAN5+3 countries utilizing 35 years of monthly data beginning in 1987–2022. We show that when the COVID-19 pandemic is factored into our sample, oil-specific demand shocks and aggregate demand shocks had a significant impact on inflation in these countries. These findings hint that the COVID-19 pandemic is likely the fundamental cause of the inflationary impact of these shocks. The impact of rising inflation sparked by shocks emanating from oil-specific demand and aggregate demand is evident in Malaysia, Singapore, Thailand, the Philippines, and Japan. We discover evidence that inflation responds asymmetrically to oil price shocks, depending on whether the shocks are positive or negative. Our empirical findings have significant policy implications for policymakers as they provide a reasonable explanation for the ASEAN5+3 countries' inflationary responses to various oil price shocks. © 2023 Elsevier Ltd
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Background Studies for developing diagnostics and treatments for infectious diseases usually require observing the onset of infection during the study period. However, when the infection base rate incidence is low, the cohort size required to measure an effect becomes large, and recruitment becomes costly and prolonged. We developed a model for reducing recruiting time and resources in a COVID-19 detection study by targeting recruitment to high-risk individuals. Methods We conducted an observational longitudinal cohort study at individual sites throughout the U.S., enrolling adults who were members of an online health and research platform. Through direct and longitudinal connection with research participants, we applied machine learning techniques to compute individual risk scores from individually permissioned data about socioeconomic and behavioral data, in combination with predicted local prevalence data. The modeled risk scores were then used to target candidates for enrollment in a hypothetical COVID-19 detection study. The main outcome measure was the incidence rate of COVID-19 according to the risk model compared with incidence rates in actual vaccine trials. Results When we used risk scores from 66,040 participants to recruit a balanced cohort of participants for a COVID-19 detection study, we obtained a 4- to 7-fold greater COVID-19 infection incidence rate compared with similar real-world study cohorts. Conclusion This risk model offers the possibility of reducing costs, increasing the power of analyses, and shortening study periods by targeting for recruitment participants at higher risk.
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In this paper, we will use the ordinary differential equations for the SIR model as a non-linear system with the Runge-Kutta numerical method of the 6th order and 7th order to generate default values for (susceptible people, infected people and recovered from disease) for epidemic disease COVID-19 by giving it the initial values for a population in a particular country. The MATLAB program was used to solve the two problems (6th & 7th order) and obtain the results.Through this work we notice the difference between the results of the two methods and the solution period as well as the estimated error value for the solution in each problem and the comparison between results and solutions for both methods and shown in a table for clarity.We also used the binary test (0-1) to know the behavior of the disease in terms of chaos and the results indicated that this disease(covid-19) is chaotic and irregular and by using the MATLAB program we obtained the figures and results and that illustrate its chaotic behavior (kcorr 6th =0.9212) and (kcorr 7th = 0.9560),as well as, the figures that illustrate the system's workflow in this paper. © 2023 American Institute of Physics Inc.. All rights reserved.
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Purpose: This study aims to explore the connectedness of price return index spillovers across eight economic sectors in the Malaysian stock market (Bursa Malaysia). Design/methodology/approach: The analysis uses daily data of sectoral price index from 10 May 2005 to 24 February 2021. The study uses Bayesian time-varying parameter vector autoregressive. Findings: The degree of price return index spillovers varies over time, reaching unprecedented heights during the COVID-19 pandemic in 2020. The industrial economic sector is the main transmitter of price index return shock, whereas the utilities economic sector is the dominant receiver of index return spillovers. Originality/value: The findings are critical for investors, market participants, businesses and policymakers in developing action plans for the vulnerable sectors. It further enhances investors' confidence in making investment decisions. © 2023, Emerald Publishing Limited.
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Introduction: Patients with severe COVID-19 display dysregulated lipid metabolism. Dyslipidemia is associated with damage to the immune, respiratory, and cardiovascular systems, lipid dysregulation may contribute to morbidity and mortality from COVID-19 infection. Aim(s): to detect lipid changes in COVID-19 patients and their relation to patient's outcome Patients and Methods: The current study was conducted on patients with confirmed COVID 19 infection who were admitted at Minia cardiothoracic university hospital during the period from April to August 2021. Lipid profiles (LDH, HDL, Triglyceride, Cholesterol) were measured for all patients during the first 24 hours of admission. Patients were followed up till the time of hospital discharge. Result(s): Eighty patients were included in the study, 25 (31.2%) patients were classified to have moderate disease while 55(68.2%) patients had severe disease. Patients were divided into two groups according to their discharge condition, group I (survivor group) included 59(74%) patients and group II (non-survivor) which included 21(26%) patients. Comparing lipid profiles in both groups showed that;Triglyceride was significantly higher in group II 194.71+/-81.14 versus 149.78+/-50.68 in group 1 (P = 0.004). Also, LDH was significantly higher in group II 1254.38+/-691.47 versus 853.81+/-486.44 in group I ((P 0.005). No significant differences exist between both groups regarding, HDL, Cholesterol, and LDL (P= 0.982, 0.434, 0.996) respectively. Conclusion(s): Disturbance in Lipid metabolism occur in patients with COVID 19 infection and could be useful as a mortality predictor.,.
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Background: Studies for developing diagnostics and treatments for infectious diseases usually require observing the onset of infection during the study period. However, when the infection base rate incidence is low, the cohort size required to measure an effect becomes large, and recruitment becomes costly and prolonged. We developed a model for reducing recruiting time and resources in a COVID-19 detection study by targeting recruitment to high-risk individuals. Methods: We conducted an observational longitudinal cohort study at individual sites throughout the U.S., enrolling adults who were members of an online health and research platform. Through direct and longitudinal connection with research participants, we applied machine learning techniques to compute individual risk scores from individually permissioned data about socioeconomic and behavioral data, in combination with predicted local prevalence data. The modeled risk scores were then used to target candidates for enrollment in a hypothetical COVID-19 detection study. The main outcome measure was the incidence rate of COVID-19 according to the risk model compared with incidence rates in actual vaccine trials. Results: When we used risk scores from 66,040 participants to recruit a balanced cohort of participants for a COVID-19 detection study, we obtained a 4- to 7-fold greater COVID-19 infection incidence rate compared with similar real-world study cohorts. Conclusion: This risk model offers the possibility of reducing costs, increasing the power of analyses, and shortening study periods by targeting for recruitment participants at higher risk.
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Coronavirus disease-2019 (COVID-19) seems to be a fast spreading contagious illness that affects both humans and animals. This catastrophic deadly virus has an impact on people's daily lives, their wellbeing, and a nation's economy. According to a clinical research of COVID19 affected patients, these individuals have been most commonly infected with a lung illness after coming into touch with the virus. A chest X-ray (also known as radiography) or a chest CT scan seems to be more efficient imaging techniques for detecting lung issues. Nonetheless, when compared to a chest CT, a significant chest X-ray remains a less expensive procedure. Thus, in this research, a novel Deep convolution neural network algorithm is presented to detect the COVID19 from X-ray image. Moreover, to enhance diagnostics sensitivity and reduce error rate, a hybrid Two-step-AS clustering approach with Ensemble Bootstrap aggregating training and Multiple NN methods used. In addition, TSEBANN model has been employed to explore the qualification procedure effects. The proposed algorithm was trained before and after classification while compared to traditional Convolutional Neural Network (CNN). After, the process of pre-processing and feature extraction, the CNN strategy was adopted as an identification approach to categorize the information depending on Chest X-ray recognition. These examples were then classified using the CNN classification technique. The testing was conducted on the COVID-19 X-ray dataset, and the crossvalidation approach was used to determine the model's validity. The result indicated that a CNN system classification has attained an accuracy of 98.062 %.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
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This study seeks to explore Malaysian undergraduates' perspectives on the implementation of remote learning in their university during the period of the movement control order (MCO). Since teaching and learning activities have been impacted by the pandemic, it is imperative to consider students' perspectives on carrying out classes via the online platform as many studies claim that the pandemic has disrupted teaching and learning activities. A total of 1,028 undergraduate students participated in this voluntary study by answering an open-ended survey sent out to their student email addresses during the MCO period that restricted students and lecturers from going to the university. The qualitative responses from the students were critically analyzed for thematic patterns. The four themes emerging from the data provide future teaching and learning plans that should embed self-learning techniques that could aid students if a similar predicament should hit us in the future. Course instructors can use this information to design future lessons that could assist their learners better. © 2023, Institute of Advanced Engineering and Science. All rights reserved.
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With the worldwide threat of SARS-CoV-2 as well as the growing number of infectious agents, little is recognized about how such a virus impacts the reproductive-system of males. This new coronavirus illness (COVID-19) outbreak puts men at a greater risk than females. So far, research on the andrological effects of coronavirus has been limited. The purpose of this study was to see how COVID-19 affected sperm characteristics in infertile males. Such study includes 30 males in total. In the prospective cohort study, different demographic as well as semen parameters have been assessed. The demographic factors including age, BMI, diabetes, and hypertension have somehow little or no effect on the patients after the COVID-19 diagnosis. Furthermore, the semen characteristics include sperm count and concentration, total motility, semen volume, and progressive motility. The COVID-19 infection has a significant impact on all these parameters. We present significant experimental proof that the COVID-19 outbreak can harm and target male fertility. The long-term outcomes of coronavirus on the reproductive systems of males have yet to be determined. Infection with SARS-CoV-2 can impair men’s reproductive function. Standard treatment plans must be made timely to protect infected patients’ fertility. Fertility evaluations and competent fertility assistance should be offered concurrently for recovered individuals with fertility needs. © 2022, ResearchTrentz Academy Publishing Education Services. All rights reserved.
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The COVID-19 pandemic has significantly impacted increasing mental health problems in Indonesia. People were haunted by anxiety, fear, and mental stress resulting from isolation activities, as well as physical restrictions and conditions of uncertainty. Even data before the pandemic showed that mental health problems were a task that had not been entirely resolved, both in Indonesia nationally and internationally. According to data from the Ministry of Health of the Republic of Indonesia, in 2016, there were 1,800 data on suicides in one year. This is equivalent to a total of 5 people who commit suicide in one day. Even sadder, it is known that 47.7% of suicide victims are aged 10 to 39 years, namely teenagers and productive age, including university students. Therefore, this study aims to design an e-counseling-based expressive writing therapy platform for college students. The expressive writing therapy method was chosen because it has a positive effect on depressive symptoms. The final result of this research is a system design in the form of a UML diagram that describes the actors, process flows, and system components, and also the prototype of the system. © 2022 Institute of Advanced Engineering and Science (IAES).
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Introduction: In the earlier days of COVID-19 pandemic, the cases grew rapidly in an increasing number of countries, triggering bold policy responses. The impact of different containment strategies had yet to show any relationship with the cases. It became a question that would strict restriction in any way impact the spread of infection significantly and should it be a common practice among everywhere else in the world. Therefore, policy makers wondered if strict restrictions would impact the spread significantly and should this be practiced elsewhere in the world. Material(s) and Method(s): This rapid review assessed the effectiveness of different containment strategies used in suppressing COVID-19 infection in different countries from January 2020 to November 2020. Searches were done in PubMed, Cochrane Central Register of Clinical Trials, WHO database, ResearchGate. We identified 492 studies and screened for duplication. Using the inclusion and exclusion criteria, 25 studies were included. Result(s) and Conclusion(s): Different countries instituted containment strategies in different ways, such as Movement Control Order in Malaysia, Circuit Breaker in Singapore, COVID-19 Alert System Levels in New Zealand, etc. Most containment strategies had different success levels that depended on the time of implementation and whether the community accepted these new lifestyles and regulation. Sweden and New Zealand showed a high degree of success in combating COVID-19 despite their big population and less personal invasive methods in terms of containment strategies. Countries like United States, Japan, Singapore, Malaysia, and South Korean's responses to COVID-19 could be hard to replicate. However, all countries needed to improve on three main competencies, namely, technology enforcement, strong public health governance and public partnership. A nationwide lockdown could not promise a country to be free from the outbreak, but the response time and early detection with active surveillance was critical in slowing the spread and growth of new cases in managing this pandemic.
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Introduction: Ventilation system serves as one of the methods for infection control within patient treatment areas amongst patients and staff. The High infectivity in confined areas raised concerns for patients and staff safety especially during the COVID-19 pandemic. Objective(s): To describe the ventilation system design approach applied in patient areas of a public hospital. Material(s) and Method(s): Four (4) patient-related areas in a 76 bed non-specialist hospital was assessed. The variables included are the airflow, supply air, return air and air filtration. Result(s) and Conclusion(s): The airborne infection isolation room has air flow from the staff area to the patient area. The air inlet provides 100% non-circulating fresh air with 12 air change rate per hour (ACH) located at entrance. The outlet is located on the lower left side of the patient's head. High-efficiency particulate air (HEPA) filter placed at the outlet with negative room pressure. The air conditioned multi bed area has air inlet at the entry point and outlet located farther away from patients and staff. While, the clinical examination room air inlet was placed near the staff area and outlet above the patient treatment area. Both the common multi-bed inpatient and clinical examination rooms have normal pressure. The ventilation system is served from central Air Handling Unit (AHU) and recirculated, however, MERV 13 grade filter is employed as recommended by American Standard Heating and Refrigeration Engineer (ASHRAE) in both multi-bed inpatient area and clinical examination room. Finally, the operation room was provided with laminar air flow from above the patient towards the lower four corners of the room. The room pressure would be relatively positive compared to the surrounding rooms. The HEPA filter is placed at the inlet. The ventilation system design approach in the public hospital assessed caters for airborne-related infectious diseases control. However, further assessment of its effectiveness is required particularly in the operation theater where the room pressure is relatively positive.
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This cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online self-administered questionnaire. Partial least squares structural equation modelling (PLS-SEM) was employed to examine the hypothesized relationships. We found that students' online class intention is significantly influenced by their attitude towards online classes (AOC), perceived usefulness (PU), and facilitating conditions (FC). We further identified that external antecedents have significant indirect effects on the outcome variables. Our findings provide new insights and contribute to a learners' community on online classes during the COVID-19 pandemic. This study extends the technology acceptance model (TAM) and the theory of planned behavior (TPB) to depict the factors influencing undergraduate students' intention to attend online classes (IOC) during the COVID-19 pandemic.
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Four compounds, hippacine, 4,2'-dihydroxy-4'-methoxychalcone, 2',5'-dihydroxy-4-methoxychalcone, and wighteone, were selected from 4924 African natural metabolites as potential inhibitors against SARS-CoV-2 papain-like protease (PLpro, PDB ID: 3E9S). A multi-phased in silico approach was employed to select the most similar metabolites to the co-crystallized ligand (TTT) of the PLpro through molecular fingerprints and structural similarity studies. Followingly, to examine the binding of the selected metabolites with the PLpro (molecular docking. Further, to confirm this binding through molecular dynamics simulations. Finally, in silico ADMET and toxicity studies were carried out to prefer the most convenient compounds and their drug-likeness. The obtained results could be a weapon in the battle against COVID-19 via more in vitro and in vivo studies.
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Background: Therapeutic plasma exchange (TPE) or interchangeably termed as plasmapheresis is a process involving extracorporeal removal of plasma from other components of blood and replacing it with physiological fluids. this procedure aimed at removes circulating antibodies, immune complexes and toxins from the blood. TPE has been effectively used in numerous disorders. Aim of the study: to assess TPE in our nephrology unit at Nephrology &Urology Minia University Hospital after the 1st year experience, including indications, doses, complications and outcome. Method(s): This is a descriptive study, carried out through one year on patients who were treated using TPE;clinical data, investigations, number of sessions, type of used fluid for exchange, outcomes and complications were recorded and analyzed statistically. Result(s): Thirty seven patients were included to this study;8 patients had Systemic lupus erytheromatosus (SLE), 4 patients had Thrombotic Thrombocytopenic Purpura (TTP), 4 patients had multiple sclerosis (MS),3 patients had Myasthenia Gravis (MG), 3 patients had nephrotic syndrome(NS), 3patients had pre transplant elevated autoantibobodies,2 patients had posttransplant Immune mediated rejection, 2 patients had autoimmune encephalitis, 2patient had Heamolytic Uremic Syndrome(HUS),1 patients had covid-19 infection,1 patient had Staff man syndrome,1 patient had RH-Alloimmunization with pregnancy,1 patient had Thrombotic Microangiopathy(TMA), 1 patient had neuromyelitis optica and 1 patient had Guillane Baree syndrome(GBs) . the total number of sessions of TPE Throughout this year were 192 session, As regard complications;the most common complication was chest infection, twenty nine patients were improved and 3patients showed no improvement while 5 patients un fortunately died during the treatment course of disease. Conclusion(s): TPE is a safe and effective adjuvant therapy for many diseases especially immune mediated disorders. Copyright © 2022, Anka Publishers. All rights reserved.
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The main goal of the present study is to examine the performance of novel draw solutions to extract high-quality water from simulated brackish water. Three different types of draw solutions namely L-ascorbic acid, L-aspartic acid, and thiourea. The current draw solutions’ performance was measured in terms of average water flux (LMH) and average reverse solute flux (g/m2h). The impact of several parameters on FO desalination performance, such as draw solution type, feed water concentration, draw solution concentration, and membrane orientation mode, was investigated. Ascorbic acid (vitamin C) was shown to have better FO performance in terms of high water flow up to 7.5 LMH and negligible reverse solute flux among the various types of draw solutions studied. The suggested FO technique can extract clean water to dilute the vitamin C draw solution up to the daily vitamin C in drinking water dose limit. Immune system deficits, cardiovascular illness, maternal health difficulties, eye disease, and even skin wrinkling may be protected by the supplemented vitamin C drinking water created. Some specialists recently recommended taking 200 mg of vitamin C daily for COVID-19 prophylaxis or 1-2 grams for COVID-19 treatment, according to some experts. © The Author(’s).
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Background: Traditionally, patients were kept intubated for 48 hours in the postoperative period. Living donor liver transplantation poses a different set of challenges. Most of the predictors mentioned in the literature were, low MELD, low BMI, and with stable comorbidities etc. for early extubation following living donor liver transplantation. We assessed the feasibility of fast tracking and early extubation in our patients, who were not fitting in those mentioned predictors in the literature. Methods: We present a case series of 6 patients who were fast tracked and extubated early, following living donor liver transplantation, out of 22 patients over the last 6 months. Results: All these patients were aged more than 45 yrs, with an average age of 55.8 yrs, average MELD score of 20.8, Child status C, some of our patients had cardio pulmonary comorbidities. patient 2, was COPD, post asymptomatic COVID, with CoRad score3 on HRCT, patient 5, was class 3 obese with no OSA, patient 6, had Hypertension, CAD- triple vessel disease, post CABG 7 yrs back, The intraoperative metabolic parameters like base excess and Lactates were showing good correction and all of them had very minimal inotropic support at the time of extubation, with Norepinephrine < 0.05mcg/kg/minutes. There was no post reperfusion hemodynamic instability or PRS in our patients, the average GRWR in our patients was 0.94, the mean anhepatic period, warm ischemia and cold ischemia times were pretty low. None of them had any significant postoperative complications. Conclusions: We propose, we can safely fast track and extubate early, following living donor liver transplantation with high MELD scores, and stable comorbidities. Further, large studies are needed to look for the feasibility of expanding the criteria for early extubation.
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Continuing our antecedent work against COVID-19, a set of 5956 compounds of traditional Chinese medicine have been virtually screened for their potential against SARS-CoV-2 helicase (PDB ID: 5RMM). Initially, a fingerprint study with VXG, the ligand of the target enzyme, disclosed the similarity of 187 compounds. Then, a molecular similarity study declared the most similar 40 compounds. Subsequently, molecular docking studies were carried out to examine the binding modes and energies. Then, the most appropriate 26 compounds were subjected to in silico ADMET and toxicity studies to select the most convenient inhibitors to be: (1R,2S)-ephedrine (57), (1R,2S)-norephedrine (59), 2-(4-(pyrrolidin-1-yl)phenyl)acetic acid (84), 1-phenylpropane-1,2-dione (195), 2-methoxycinnamic acid (246), 2-methoxybenzoic acid (364), (R)-2-((R)-5-oxopyrrolidin-3-yl)-2-phenylacetic acid (405), (Z)-6-(3-hydroxy-4-methoxystyryl)-4-methoxy-2H-pyran-2-one (533), 8-chloro-2-(2-phenylethyl)-5,6,7-trihydroxy-5,6,7,8-tetrahydrochromone (637), 3-((1R,2S)-2-(dimethylamino)-1-hydroxypropyl)phenol (818), (R)-2-ethyl-4-(1-hydroxy-2-(methylamino)ethyl)phenol (5159), and (R)-2-((1S,2S,5S)-2-benzyl-5-hydroxy-4-methylcyclohex-3-en-1-yl)propane-1,2-diol (5168). Among the selected 12 compounds, the metabolites, compound 533 showed the best docking scores. Interestingly, the MD simulation studies for compound 533, the one with the highest docking score, over 100 ns showed its correct binding to SARS-CoV-2 helicase with low energy and optimum dynamics. Finally, MM-PBSA studies showed that 533 bonded favorably to SARS-CoV-2 helicase with a free energy value of −83 kJ/mol. Further, the free energy decomposition study determined the essential amino acid residues that contributed favorably to the binding process. The obtained results give a huge hope to find a cure for COVID-19 through further in vitro and in vivo studies for the selected compounds. [ FROM AUTHOR] Copyright of Journal of Chemistry is the property of Hindawi Limited 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 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 . (Copyright applies to all s.)