Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 24
Filter
1.
Journal of Humanitarian Logistics and Supply Chain Management ; 2022.
Article in English | Scopus | ID: covidwho-1961340

ABSTRACT

Purpose: This study aims to identify key supply chain challenges and opportunities of the case of Hong Kong toy manufacturing company during the COVID-19 outbreak and develop a comprehensive structural relationship to rank them. Design/methodology/approach: In this study, a toy model company in Hong Kong is considered to discuss about what challenges and opportunities have the biggest impacts on non-necessary goods companies and how to deal with different impacts on entire supply chain flow disruption during COVID-19. A semi-structured interview with five decision-makers from the company was made to give key challenges and opportunities scores. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique is used to establish the model and rank them afterward to overcome the challenges. Findings: From the data analysis and results, “salary of employee” and “inconvenient transportation” have emerged as top and bottom key challenges respectively. The sequence of organized challenges in the list needs to mitigate one by one in this order to improve the supply chain performance. The “client's orders’ frequency, customer management” and “supplier/partner relationship management” are identified as the top and bottom respectively to develop the opportunities. Research limitations/implications: These key challenges and opportunities are identified as contributing attributes and provide the way to measure to improve production, profits and sustainable growth of the toy manufacturing company during a pandemic. Moreover, it helps to improve the distribution level and good planning with appropriate decision making to manage the supply chain performance considering humanitarian aspects during a pandemic outbreak. Originality/value: The novelty of this study is to identify the key supply chain challenges and opportunities measured by the TOPSIS method to rank them and consider the case of a Hong Kong toy manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak. © 2022, Emerald Publishing Limited.

2.
Benchmarking ; 2022.
Article in English | Scopus | ID: covidwho-1891297

ABSTRACT

Purpose: This study aims to identify how ICT appeared as an emergent business strategy and to investigate the impact of ICT adoption factors on the perceived benefits of micro, small and medium enterprises (MSMEs). Design/methodology/approach: A total of 393 responses from Indian small and mid-size enterprises (SMEs) were collected for the final analysis. The study presents the partial least-squares structural equation modeling with the Chi-square test and descriptive analysis as a methodology based on numerous independent variables and one dependent variable. Findings: The findings indicate that ICT adoption during and following the COVID-19 pandemic is constant in nature of the enterprise. Moreover, the results indicate that different adoption of ICT factors influence on perceived benefits of organizational performance of Indian MSMEs that lent good support except for the regulatory framework. Research limitations/implications: The implications of the current research help Indian MSMEs to take investment decisions in various technologies that help the organization. Furthermore, managers and practitioners help the organization in deciding which technology adoption factors are more critical to the betterment of the organization. Originality/value: The study found certain ICT adoption factors that have a significant role in organizational performance in Indian MSMEs. Moreover, during COVID-19, investigate ICTs' role as a business strategy. © 2022, Emerald Publishing Limited.

4.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:12585-12594, 2022.
Article in English | Scopus | ID: covidwho-1874849

ABSTRACT

Covid-19 pandemic has had a key effect on how people work, hang out, and prepare for the future. This social split has a substantial adverse effect on industries, affecting not just economic disruption but also instability and uncertainty. At the same time, as in any major catastrophe, clean and new ways to reinvent the e-commerce business industry in a brand new light and with a new wind will arise. The variations in the use of new technologies and more in particular the use of innovative online services on the Internet are related to the online business sector where the populace is employed and its level of training. One of the advanced services offered by the e-commerce companies is teleworking. This paper shows the results of a critical analysis of the business opportunities in e-commerce in post Covid-19 world about the practicability of teleworking within business organizations. Teleworking business opportunities in an organisation's practicability is meaningfully explained by the percentage of tasks suitable to teleworking, the employees' participation in task design and programming, the proportion of salespeople in the workforce, the degree of work-location allocation for e-commerce acctiviies, the use of information and communication technologies, and the degree of innovation. Ecommerce in post Covid-19 world and teleworking perceive a greater feasibility than regular workforce. Furthermore, this paper offers, a systemic review about the chronological disturbance due to Covid 19 and its several negative as well as positive effects which can saturate marketplace practice and intellectual study for a long time, providing prospects for long-term influence for researchers working in this area. © The Electrochemical Society

5.
2022 IEEE Delhi Section Conference, DELCON 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1846077

ABSTRACT

Since COVID 19, there have been significant advancements in the field of teaching and learning. Academic institutions are going digital to provide their students more resources. Due to technology, students now have more alternatives to study and improve skills at their own pace. In terms of assessments, there has been a shift toward online tests. The absence of a physical invigilator is perhaps the most significant impediment in online mode. Henceforth, online proctoring services are becoming more popular, and AI-powered proctoring solutions are becoming demanding. In this project, we describe a strategy for avoiding the physical presence of a proctor during the test by developing a multi-modal system. We captured video using a webcam along active window capture. The face of the test taker is identified and analyzed to forecast his emotions. To identify his head pose, his feature points are identified. Furthermore, aspects including a phone, a book, or the presence of another person are detected. This combination of models creates an intelligent rule-based inference system which is capable of determining if any malpractice took place during the examination. © 2022 IEEE.

6.
International Conference on Computational Techniques and Applications, ICCTA 2021 ; 426:79-87, 2022.
Article in English | Scopus | ID: covidwho-1844332

ABSTRACT

COVID-19 is spreading widely across the globe right now. India just went through the second wave of COVID-19 pandemic and has lost more than 425,000 people to this pandemic till date. Most of the other countries have gone through the second wave, with some countries experiencing third and fourth waves. In such difficult times, there is a shortage of resources everywhere. Planning is the need of the hour, and all the countries are expanding their resources, keeping future demands in mind. Some of the states of India, like Kerala, are also expecting imminent danger of the third wave. In this study, we are predicting the arrival and peak of the third wave in Kerala. We also provide the mathematical models and theoretical background to reach such expected dates. Prediction of this type helps to suggest the preparation needed to tackle the upcoming disaster. Governments can prepare themselves so that there is minimal damage to life in future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
Computers, Materials and Continua ; 72(3):6029-6044, 2022.
Article in English | Scopus | ID: covidwho-1836520

ABSTRACT

Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a rare/special situation where people can express their feelings on Internet-based social networks. Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions. This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown. The research is based on the logic expressed by people in this perspective and emotions for the suffering of COVID-19 and lockdown. In this research, we have used a Long Short-Term Memory (LSTM) network model with Convolutional Neural Network using Keras python deep-learning library to determine whether social media platform users are depressed in terms of positive, negative, or neutral emotional out bust based on their Twitter posts. The results showed that the model has 88.14% accuracy (representation of the correct prediction over the test dataset) after 10 epochs which most tweets showed had neutral polarity. The evaluation shows interesting results in positive (1), negative (-1), and neutral (0) emotions through different visualization. © 2022 Tech Science Press. All rights reserved.

8.
Computers, Materials and Continua ; 72(3):4453-4466, 2022.
Article in English | Scopus | ID: covidwho-1836519

ABSTRACT

In December 2019, a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia. The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9, 2020, named Novel Coronavirus 2019 (nCoV-2019). This nCoV-2019 is now known as COVID-19. There is a big list of infections of this coronavirus which is present in the form of a big family. This virus can cause several diseases that usually develop with a serious problem. According to the World Health Organization (WHO), 2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) coronaviruses, so COVID-19 can repeatedly change its internal genome structure to extend its existence. Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus. In this research paper, an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’ complete genome. This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties. This paper identifies five main clusters of mutations with k = 5 as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. © 2022 Tech Science Press. All rights reserved.

9.
Medical Journal of Dr. D.Y. Patil Vidyapeeth ; 15(2):247-251, 2022.
Article in English | Scopus | ID: covidwho-1753806

ABSTRACT

Background: WHO declared SARS-CoV-2 infection as pandemic on March 11, 2020. As cases recovered, it became important to know the rate of re-infection from the same virus and its severity. Therefore, the study was done to find out re-infection rate among the previously infected individuals. Aim: To find out re-infection rate among already exposed and nonexposed individuals. Materials and Methods: A cohort study was done over 5000 previously serosurveyed individual. They were followed up via telephone. Data was collected using a questionnaire with questions regarding infection post-serosurvey, severity of infection among relatives and vaccination status. Thus information collected was uploaded in Google form. Results: Re-infection rate among previously exposed individuals was 1.2%;at the same time period, 6% of nonexposed individuals got infected. All the re-infection cases were mild, whereas 80.74% of individuals who got infected for the first time had mild symptoms. Exposure to SARS-CoV-2 in relatives who were staying with participants was found to be 3.23% and 4.22% among previously exposed and non-exposed individuals respectively. 17% of previously nonexposed individuals were fully vaccinated, whereas 0.65% of exposed individual got fully vaccinated. Conclusion: Re-infection rate in the study was less and mild on the basis of severity. Infection rate among the nonexposed was at a higher side stating that chances of getting re-infected are much lesser. Previously exposed individuals did not show the same type of interest for vaccination compared to previously nonexposed individuals. © 2022 International Journal of Nutrition, Pharmacology, Neurological Diseases ;Published by Wolters Kluwer - Medknow.

10.
Indian Journal of Medical Microbiology ; 39:S57-S58, 2021.
Article in English | EMBASE | ID: covidwho-1734465

ABSTRACT

Background: Almost a year has passed since the start for Covid 19 pandemic, however with no human immunity and no vaccine for prevention early diagnosis remains the mainstay to contain the infection and prevent the spread of the vi- rus. RT-PCR is said to be the most sensitive test currently. However, Truenat is also widely used being approved by ICMR, hence a comparative study of RT-PCR & Truenat was taken up in this study. Methods: A total of 200 samples were taken from patients having signs and symptoms (clinically suspected) of COVID 19. Samples obtained via oropharyngeal and nasopharyngeal swabs were analyzed on both RT-PCR and Truenat. Viral load in samples were evaluated using Ct value of targeted genes by both the techniques. Results: Out of 200 samples, 184 showed similar results via RT-PCR and Truenat i.e., 61 positive and 123 negatives. 16 samples showed discordant results. Out of 16 samples, 5 were positive and 11 were negative by RT -PCR. However, by Truenat 11 were positive and 5 were negative. The Ct values of targeted genes range between 13-30 for E-gene and 16-32 for RdRp gene. Conclusions: The detection of SARS COV-2 patients with mild form of disease (which were persistently negative by RT- PCR) was higher by Truenat. P value being 0.077 which is significant at 90% level of significance. Hence though identifi- cation of viral RNA by RT-PCR is the gold standard, its sensitivity is lower compared to Truenat. Hence, we can suggest that Truenat is a diagnostic method with higher sensitivity, closed system hence lower chances of contamination and at the same time providing faster results at low cost, easy to perform as a point of care test, portable and requiring lower expertise to operate compared to RT-PCR

11.
Benchmarking-an International Journal ; : 28, 2022.
Article in English | Web of Science | ID: covidwho-1713833

ABSTRACT

Purpose Micro, small and medium enterprise (MSME) is the kingpin of Indian economy. It contributes to 48% of India's exports and provides employment to 110 million people. As a result, it is critical to evaluate the obstacles, expose them and find a way to overcome the crisis due to the pandemic. The study aims to analyse the impact of financial and non-financial measures for the revival of MSME and its impact on firm sustainability and future opportunity as perceived by MSME owners/heads during the COVID-19 outbreak. Design/methodology/approach This study, based on a cross-sectional survey of 197 export-oriented Indian MSMEs, attempts to investigate covid crisis mitigation strategies/measures in the context of the COVID-19 crisis. The confirmatory factor analysis (CFA) model was applied to check model fit, and structural equation modelling (SEM) was employed for data analysis. Findings The results of this study show the financial and non-financial revival measures such as firm revival, marketing training, customer relationship management (CRM), financial incentive and firm support, extending worker social security and financial access and price control positively impact MSMEs' business sustainability and future opportunity as perceived by the respondents that lent good support to the hypothesis. Research limitations/implications The study emphasizes management in association with government and financial institutions to design short-term as well as long-term strategies that may enhance their sustainability in the market. MSMEs are being forced to reassess their business strategy and modify their operating model as a result of the uncertain/unpredictable climate. Many levels of strategy aid in revitalizing the company and providing future possibilities to move forward if the government schemes positively impact the perception of entrepreneurs. Further, the study identifies the immediate measures to tide over the crisis over this sector and then furnishes recommendations for closing the identified gaps in the present understanding. Originality/value The impact of COVID-19 on Indian MSMEs and how these MSMEs are dealing with it are highlighted in this paper, which is quite scarce and insufficient to cover the gap. It also provides a comprehensive view of firm sustainability and perceived opportunity among MSMEs.

12.
Journal of Cellular Biotechnology ; 7(2):85-98, 2021.
Article in English | Scopus | ID: covidwho-1633902

ABSTRACT

Coronavirus disease (COVID 19) which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) was first reported in Wuhan, China in December 2019. The disease transformed to a pandemic and affected people's lives all over the world. It caused death to millions of people all over the world. In this project we focused on finding out the correlation of SARS-CoV2 with other respiratory diseases causing viruses like MERS and H1N1 influenza viruses. We further investigated to understand the mutations that occur in the sequences of the SARS-CoV2 during the spread of the disease and correlated it with the functional domains of proteins. The resulted phylogenetic tree indicated that SARS-CoV2 is closely related to the MERS and H1N1 viruses are distantly related. The mutation analysis of 10 different proteins of the SARS-CoV2 shows that there were more than 50 point-mutations among 34 countries sequences for six proteins. Interestingly, four proteins did not any mutation during the analysis. Therefore, these four proteins may be taken into consideration during the development of the diagnostics or therapeutics against this disease. © 2021 - IOS Press. All rights reserved.

13.
International Journal of Logistics Management ; 2021.
Article in English | Scopus | ID: covidwho-1515134

ABSTRACT

Purpose: This study prioritizes the supply chain risks (SCRs) and determines risk mitigation strategies (RMSs) for the Indian apparel industry to mitigate the shock of the COVID-19 pandemic disruption. Design/methodology/approach: Initially, 23 SCRs within the apparel industry are identified through an extant literature review. Further, a fuzzy analytical hierarchy process (FAHP) is utilized to prioritize the SCRs considering the epidemic situations to understand the criticality of SCRs and determine appropriate RMSs to mitigate the shock of SCRs during COVID-19. Findings: This study prioritized and ranked the SCRs within the Indian apparel industry based on their severity during the COVID-19 disruption. Results indicate that the demand uncertainty and pandemic disruption risks are the most critical. Based on the SCRs, the present work evaluated and suggested the flexibility and postponement mitigation strategies for the case under study. Research limitations/implications: This study has novel implications to the existing literature on supply chain risk management in the form of the FAHP framework. Supply chain practitioners from the other industrial sectors can extend the proposed FAHP framework to assess the SCRs and identify suitable mitigation strategies. The results aid the practitioners working in an apparel industry to benchmark and deploy the proposed RMSs in their firm. Originality/value: The present study is a unique and earlier attempt to develop a quantitative framework using FAHP to evaluate and determine the risk mitigation strategy for managing the SCRs during the coronavirus epidemic. © 2021, Emerald Publishing Limited.

14.
Thorax ; 76(Suppl 2):A142, 2021.
Article in English | ProQuest Central | ID: covidwho-1506120

ABSTRACT

P138 Table 1Employment status of COVID-19 dischargesN 138 Essential services 41 (30) Office/admin 37 (27) Healthcare 16 (12) Non essential services 15 (11) Public transport 10 (7) Enforcement 4 (3) Heavy Goods Vehicle driver 3 (2) Carers 2 (1) Unknown 10 (7) ConclusionOur preliminary data suggests significant symptom burden within 6 weeks post discharge after a COVID-19 infection admission, which may impact on the ability of patients to return to work. In the present analysis there was no significant interaction between return-to-work status and covid severity.

15.
Fabad Journal of Pharmaceutical Sciences ; 46(2):147-158, 2021.
Article in English | EMBASE | ID: covidwho-1486901

ABSTRACT

The current eruption of the novel severe acute respiratory syndrom causing coronavirus 2 (SARS-CoV-2) is an atrocious health tragedy. In this virulent disease, the computational approach appears to be the most hopeful choice to make out an efficient remedial medicinal agent for the treatment of an infected population. This current exploration inclined to analyze the similar druggable compounds as hydroxychloroquine to combat unworn coronavirus (COVID-19), using a pharmacoinformatics study. Docking-based virtual screening was carried-out using Glide, followed by Absorption Distribution Metabolism Excretion (ADME) anticipation. Hydroxychloroquine is being used as the criterion for comparison as it showed potential effect for symptomatic relief. Target-based virtual screening study divulged 28 top-ranked compounds based on their binding energy and dock score from 10695 PubChem compounds. In the additional weed-out process, 07 compounds were selected based on their similar interactions as hydroxychloroquine, comparable binding energy, and shape complementarity of the binding pocket of 6LU7. The three-dimensional binding pose of screened 07 hits and their chemo-essential features were successfully matched with reference compound. These candidates showed potential interactions with the amino acid residues of the active site of SARS-CoV-2 (PDB ID 6LU7). Therefore, they may have the capability as lead compound(s) against COVID-19.

16.
J. Pure Appl. Microbiol. ; 1(14): 775-788, 20200523.
Article in English | WHO COVID, ELSEVIER | ID: covidwho-1395571

ABSTRACT

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2), a new enveloped RNA virus known as Coronavirus (COvID-19) are most prevalent in humans and wild animals. All four species that is alpha, beta, delta and theta have been identified till date and are responsible for human disease; causing influenza like illness (ILI). This virus has similar lineage of Middle East Respiratory Syndrome coronavirus (MERS-CoV) and related Coronavirus (SARS-CoV). This outbreak initially presented as pneumonia-like illness in a group of people in Wuhan, China. The infection was said to be caused by seafood and unusual animals in the wholesale markets of this city. SARS-CoV-2 is highly infectious and has resulted in a rapid pandemic. As of now it has spread to 197 countries with total no of cases in the world being 3.76 million as of early march. The mortality till now is 7.11% . The cases have been increasing since its first discovery in China. In India also the number has been increased. Till now India has total of 39,980 cases and mortality is attributed to be 3.26%. As per data from Ministry of health and family welfare (MoHFW) death is more commonly seen in males with age >60years. Among these most of the deaths were related to other co-morbid conditions. This article will help the readers with an overview of novel Coronavirus spanning around the clinical features, diagnostic modalities, treatment strategies and infection control measures. It will also help in raising awareness among healthcare workers regarding COVID-19 and aid in early recognition of these patients. Moreover, this review will also focus on the most recent information for the effective management, prevention, and treatment of patients worldwide.

17.
International Journal of Modeling, Simulation, and Scientific Computing ; 2021.
Article in English | Scopus | ID: covidwho-1394221

ABSTRACT

This work provides a new fuzzy variable fractional COVID-19 model and uses a variable fractional operator, namely, the fuzzy variable Atangana-Baleanu fractional derivatives in the Caputo sense. Next, we explore the proposed fuzzy variable fractional COVID-19 model using the fixed point theory approach and determine the solution's existence and uniqueness conditions. We choose an appropriate mapping and with the help of the upper/lower solutions method. We prove the existence of a positive solution for the proposed fuzzy variable fractional COVID-19 model and also obtain the result on the existence of a unique positive solution. Moreover, we discuss the generalized Hyers-Ulam stability and generalized Hyers-Ulam-Rassias stability. Further, we investigate the results on maximum and minimum solutions for the fuzzy variable fractional COVID-19 model. © 2021 World Scientific Publishing Company.

18.
Medical Science ; 25(114):1821-1826, 2021.
Article in English | Web of Science | ID: covidwho-1372307

ABSTRACT

Background: A new coronavirus (severe acute respiratory syndrome coronavirus 2;SARS-CoV-2) infection began to spread in China, in early December 2019 and has rapidly spread around the globe. While its effects on respiratory symptoms are well recognized, but its effect on thyroid function test is still unclear. We initiated this study with the aim of comparison of thyroid function of Covid-19 affected individuals with that of unaffected individuals. Methods: Clinical examination, laboratory investigation and computed tomography study (CT severity score) of 50 patients with RT-PCR confirmed covid-19 infection who were tested for thyroid function test during their course of hospitalization in covid positive ward in the department of medicine. Other 50 individual who were admitted in covid negative section of the hospital with acute respiratory symptoms during the same period and were found RTPCR negative were also included in the study as control group. Thyroid profile of these two groups were analysed and compared to each other. Result: During the course of COVID-19, of the patients with COVID-19, 74% (37/50) had more-than normal TSH levels, with a p value of < 0.001. As compared with non-COVID-19 pneumonia patients with the serum TSH levels of the patients with COVID-19 were significantly higher. Conclusion: This supports the effects of SARS-Cov2 on Thyroid gland, thus proving the postulate that COVID19 may be inducing hypothyroidism which is majorly subclinical. None of the patients received thyroid hormone replacement therapy during the course of our study.

19.
2021 International Conference on Innovative Trends in Information Technology ; 2021.
Article in English | Web of Science | ID: covidwho-1324944

ABSTRACT

The entire human life is passing through a very bad and unprecedented phase of the pandemic called COVID-19. It is a chronic disease that occurs because of "severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)". The entire world has witnessed a very bad phase of life which has never happened before on this massive scale. COVID-19 has made the entire human life challenging. Millions of people got affected around the globe and many lost their loving ones while fighting with the deadly disease. The two critical challenges of the pandemic are: there are no known treatments for COVID-19 and secondly, its transmission from one person to another is very prompt. Therefore, to control the deadly spread of the pandemic the countries have adopted complete lockdown for months, people were isolated and quarantined to control the spread of the disease. Several terminologies such as lockdown, quarantine, social-distancing, home isolation, and Corona waves can be heard around. In all these necessary measures to control the virus taken by the government the entire humankind suffered and still suffering from several challenges towards living a normal life. In this entire disaster, information communication technologies (ICTs) have shown a significant contribution in mitigating the effects and challenges caused due to COVID-19. In the present study, efforts have been given on highlighting the role of ICT in overcoming the challenges of life caused due to COVID-19 with the help of studies that took place in the pandemic duration. The study has also shown that how the extensive inclination of the people towards the use of ICTs helped in emerging new business opportunities. The present study is a conceptual study that will help in leading to another study. A research model has been proposed in the study which can be further tested in upcoming studies. The outcomes of the study can be helpful for the decision and policymakers especially those who are working in the area of ICT. The ICT industry can learn many things that can help focus more on the expansion of business opportunities.

20.
International Journal of Modeling Simulation and Scientific Computing ; 12(03):17, 2021.
Article in English | Web of Science | ID: covidwho-1304262

ABSTRACT

The fuzzy variable fractional differential equations (FVFDEs) play a very important role in mathematical modeling of COVID-19. The scientists are studying and developing several aspects of these COVID-19 models. The existence and uniqueness of the solution, stability analysis are the most common and important study aspects. There is no study in the literature to establish the existence, uniqueness, and UH stability for fuzzy variable fractional (FVF) order COVID-19 models. Due to high demand of this study, we investigate results for the existence, uniqueness, and UH stability for the considered COVID-19 model based on FVFDEs using a fixed point theory approach with the singular operator. Additionally, discuss the maximal/minimal solution for the FVFDE of the COVID-19 model.

SELECTION OF CITATIONS
SEARCH DETAIL