scholarly journals Better than Nothing?: Consequence of Incomplete Treatment of COVID-19

2021 ◽  
Vol 10 (3) ◽  
pp. 11
Author(s):  
Yasunori Fujita
Keyword(s):  
Theoretical Model ◽  
High Expectations ◽  
Infected People ◽  
Global Pandemic ◽  
Incomplete Treatment ◽  
Better Than

With seemingly no end to the global pandemic in sight, high expectations are growing for the development of medicines to treat COVID-19, in addition to the vaccination which has been carried out recently. In Japan also, development of such medicines is accelerating and now four COVID-19 medicines have been approved.There is, however, concern that the COVID-19 medicines are not always effective, so that, in the present paper, we investigate the consequence of incomplete treatment of COVID-19-infected patients by constructing a simple intertemporal theoretical model. Main result we obtained is that incomplete treatment of infected patients increases number of the infected people, which is equivalent to say “worse than nothing”.

scholarly journals Limitations of modern microeconomic theory of consumer choice: Sociological perspective

Sociologija ◽  
2008 ◽  
Vol 50 (3) ◽  
pp. 313-326 ◽  
Author(s):  
Ognjen Radonjic
Keyword(s):  
Theoretical Model ◽  
Consumer Choice ◽  
Microeconomic Theory ◽  
Market Demand ◽  
Sociological Perspective ◽  
Neoclassical Theory ◽  
Demand Functions ◽  
Sociological Factors ◽  
And Behavior ◽  
Better Than

Neoclassical theory of consumer choice needs to be reformed. Assumption that consumer choice is not influenced by the choice of others is in collision with reality. New and better theory of consumer choice is unimaginable without incorporation of intersubjective factors into the model of derivation of individual and aggregate (market) demand functions. Goal of this study is to underline widely neglected sociological factors that have significant influence on motivation and behavior of consumers. Inclusion of these factors into modern microeconomic theory is of essential importance if we are about to construct theoretical model aimed to describe reality in which we daily exist better than its predecessor did.

scholarly journals Impact on Air Quality of the COVID-19 Lockdown in the Urban Area of Palermo (Italy)

2020 ◽  
Vol 17 (20) ◽  
pp. 7375 ◽  
Author(s):  
Marcello Vultaggio ◽  
Daniela Varrica ◽  
Maria Grazia Alaimo
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Area ◽  
Human Mobility ◽  
Infected People ◽  
National Crisis ◽  
Global Pandemic ◽  
Pm 10 ◽  
The Impact

At the end of 2019, the first cases of coronavirus disease (COVID-19) were reported in Wuhan, China. Thereafter, the number of infected people increased rapidly, and the outbreak turned into a national crisis, with infected individuals all over the country. The COVID-19 global pandemic produced extreme changes in human behavior that affected air quality. Human mobility and production activities decreased significantly, and many regions recorded significant reductions in air pollution. The goal of our investigation was to evaluate the impact of the COVID-19 lockdown on the concentrations of the main air pollutants in the urban area of Palermo (Italy). In this study, the trends in the average concentrations of CO, NO2, O3, and PM10 in the air from 1 January 2020 to 31 July 2020 were compared with the corresponding average values detected at the same monitoring stations in Palermo during the previous five years (2015–2019). During the lockdown period (10 March–30 April), we observed a decrease in the concentrations of CO, NO2, and particulate matter (PM)10, calculated to be about 51%, 50%, and 45%, respectively. This confirms that air pollution in an urban area is predominantly linked to vehicular traffic.

A theoretical model of jump diffusion-mean reversion

2017 ◽  
Vol 23 (3) ◽  
pp. 537-554
Author(s):  
Anindya Chakrabarty ◽  
Zongwei Luo ◽  
Rameshwar Dubey ◽  
Shan Jiang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Theoretical Model ◽  
Interest Rate ◽  
Mean Reversion ◽  
Jump Diffusion ◽  
Fixed Income ◽  
Short Term ◽  
Content Type ◽  
Better Than

Purpose The purpose of this paper is to develop a theoretical model of a jump diffusion-mean reversion constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor as opposed to the deterministic floor used in the previous literatures. Design/methodology/approach The paper adopts Merton’s jump diffusion (JD) model to simulate the price path followed by risky assets and the CIR mean reversion model to simulate the path followed by the short-term interest rate. The floor of the CPPI strategy is linked to the stochastic process driving the value of a fixed income instrument whose yield follows the CIR mean reversion model. The developed model is benchmarked against CNX-NIFTY 50 and is back tested during the extreme regimes in the Indian market using the scenario-based Monte Carlo simulation technique. Findings Back testing the algorithm using Monte Carlo simulation across the crisis and recovery phases of the 2008 recession regime revealed that the portfolio performs better than the risky markets during the crisis by hedging the downside risk effectively and performs better than the fixed income instruments during the growth phase by leveraging on the upside potential. This makes it a value-enhancing proposition for the risk-averse investors. Originality/value The study modifies the CPPI algorithm by re-defining the floor of the algorithm to be a stochastic mean reverting process which is guided by the movement of the short-term interest rate in the economy. This development is more relevant for two reasons: first, the short-term interest rate changes with time, and hence the constant yield during each rebalancing steps is not practically feasible; second, the historical literatures have revealed that the short-term interest rate tends to move opposite to that of the equity market. Thereby, during the bear run the floor will increase at a higher rate, whereas the growth of the floor will stagnate during the bull phase which aids the model to capitalize on the upward potential during the growth phase and to cut down on the exposure during the crisis phase.

Study on Influences Mold Shape Imposes on Bread Heating Distribution

2013 ◽  
Vol 395-396 ◽  
pp. 925-929
Author(s):  
Ze Hua Chen ◽  
Shao Bo Gao ◽  
Shang Xin Yang ◽  
Hai Yang Zhang
Keyword(s):  
Theoretical Model ◽  
Numerical Model ◽  
Great Influence ◽  
Maximum Temperature ◽  
Maximum Temperature Difference ◽  
Distribution Uniformity ◽  
Boundary Curvature ◽  
3D Numerical Model ◽  
Bread Production ◽  
Better Than

A 3D numerical model for heating distribution of bread mold in the oven is presented in this study. In the process of bread production, heat effect is influenced by the shape of the mold. Being consistent with the results of calculation, the shape of the mold imposes great influence on the heating distribution uniformity and maximum temperature difference. Because of even boundary curvature, circular mold behaves better than elliptical and rectangular mold. By utilizing the introduced theoretical model, we are able to get the spatial heating distribution of all kinds of mold. And taking three kinds of mold as example, we illustrate that the more uneven the boundary curvature is, the less uniform the heating distribution will be.

scholarly journals Overview of the first year of the SARS-CoV-2 pandemic in Serbia and the Pirot County

2021 ◽  
pp. 1-23
Author(s):  
Milena Čavić ◽  
Jelena Grahovac ◽  
Radmila Zec ◽  
Miloš Stefanović ◽  
Elizabeta Aleksić
Keyword(s):  
Scientific Community ◽  
Great Part ◽  
First Year ◽  
Infected People ◽  
Positive Effects ◽  
Treatment And Prevention ◽  
Global Pandemic ◽  
The World ◽  
Health Institutions ◽  
Registered Case

The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2, corona virus) pandemic has introduced a sudden and overwhelming change into our everyday lives, which had a significant impact on various vital aspects of our society. The first officially registered case of infection was reported on December 31st, 2019. in Wuhan, China. Since then, its worldwide spread has led to a global pandemic of the respiratory disease COVID-19 (Coronavirus Disease 19). Up to May 31st, 2021, there have been over 169 million officially reported cases of infection in the world, with over 3.5 million deaths. Since the first day of the pandemic, huge efforts have been employed by the health and scientific community to enable most efficient diagnostics, treatment and prevention by development of efficient vaccines. In Serbia, the first official SARS-CoV-2 case was registered on March 6th, 2020. Until May 31st, 2021, the total number of infected people was 712 472, total number of deaths 6 865 and the mortality rate 0.96%. The first antiSARS-CoV-2 vaccine was administered on December 24th, 2020, and by May 31st 2021 over 2 million people were successfully vaccinated in Serbia. If any positive effects of the pandemic can be highlighted, the health institutions of our country have prepared protocols and recommendations which can be modified according to specific needs in the case of future pandemics. Further dynamic of this pandemic will depend in great part on our responsibility for personal and collective health, as well as on global measures undertaken to reach a new eagerly awaited normality.

scholarly journals Natural Compounds from Djiboutian Medicinal Plants as Inhibitors of COVID-19 by in Silico Investigations

2020 ◽  
Author(s):  
abdirahman elmi ◽  
S. al jawad sayem ◽  
Mohamed Ahmed ◽  
fatouma mohamed
Keyword(s):  
Medicinal Plants ◽  
Natural Compounds ◽  
Binding Energies ◽  
Receptor Binding Domain ◽  
Global Pandemic ◽  
Main Protease ◽  
Target Sites ◽  
Better Than

The new coronavirus type SARS-Cov 2 (severe acute respiratory syndrome), which appeared in autumn 2019 in China, became a global pandemic in a few months. In this work, we looked for the potential anti SARS-Cov 2 of the compounds isolated from three Djiboutian medicinal plants namely Acacia seyal, Cymbopogon commutatus, and Indigofera caerulea. For this we carried out a docking with nine biomolecules, β-Sitosterol , Quercetin, Catechin, Lupeol, Rutin, Kaempferol, Gallic acid, Piperitone and Limonene on three target sites which are SARS-CoV-2 main protease (Mp), SARS-CoV-2 receptor binding domain (RBD) and human furin protease. These targets are chosen because of their role in the process of penetration of the virus into human cells and its multiplication. The phenolic compounds have a very good afinity on these three target sites with binding energies of up to -9.098 kcal/mol for rutin on SARS-CoV-2 Mp, much better than the two reference drugs hydroxychloroquine (-5.816 kcal / mol) and remdesivir (-7.194 kcal/mol). These natural compounds do not present toxicities and can be used pending In vitro and In vivo evaluations.

scholarly journals Early Identification of COVID-19 Using Dynamic Fuzzy Rule Based System

2021 ◽  
Vol 8 (5) ◽  
pp. 805-812
Author(s):  
Mohammed Imran Basheer Ahmed ◽  
Atta-ur Rahman ◽  
Mehwash Farooqui ◽  
Fatimah Alamoudi ◽  
Raghad Baageel ◽  
...  
Keyword(s):  
Healthcare Professionals ◽  
Fuzzy Rule ◽  
Fuzzy Membership Function ◽  
Membership Functions ◽  
Dynamic Nature ◽  
Rule Based ◽  
Infected People ◽  
Rule Based System ◽  
Global Pandemic ◽  
The Common

The undergoing research aims to address the problem of COVID-19 which has turned out to be a global pandemic. Despite developing some successful vaccines, the pace has not overcome so far. Several studies have been proposed in the literature in this regard, the present study is unique in terms of its dynamic nature to adapt the rules by reconfigurable fuzzy membership function. Based on patient’s symptoms (fever, dry cough etc.) and history related to travelling, diseases/medications and interactions with confirmed patients, the proposed dynamic fuzzy rule-based system (FRBS) identifies the presence/absence of the disease. This can greatly help the healthcare professionals as well as laymen in terms of disease identification. The main motivation of this paper is to reduce the pressure on the health services due to frequent test assessment requests, in which patients can do the test anytime without the need to make reservations. The main findings are that there is a relationship between the disease and the symptoms in which some symptoms can indicate the probability of the presence of the disease such as high difficulty of breathing, cough, sore throat, and so many more. By knowing the common symptoms, we developed membership functions for these symptoms, and a model generated to distinguish between infected and non-infected people with the help of survey data collected. The model gave an accuracy of 88.78%, precision of 72.22%, sensitivity of 68.42%, specificity of 93.67%, and an f1-score of 69.28%.

scholarly journals A Review on COVID-19: Origin, Spread, Symptoms, Treatment, and Prevention

2020 ◽  
Vol 10 (6) ◽  
pp. 7234-7242 ◽  
Keyword(s):  
Middle Eastern ◽  
The United States ◽  
World Health ◽  
Infected People ◽  
Treatment And Prevention ◽  
Global Pandemic ◽  
Health Organization ◽  
Underlying Diseases ◽  
Respiratory Coronavirus ◽  
Death Cases

A novel type of coronavirus, identified as 2019-nCoV or COVID-19, appeared in Wuhan, China, in late 2019 and continued to spread in 2020. On January 24th, 2020, about 830 cases were reported in nine countries, namely: China, Japan, Singapore, Thailand, South Korea, Nepal, Vietnam, the United States, and Taiwan. Also, about 26 confirmed deaths have been recorded, especially for patients with serious underlying diseases. On March 11th, 2020, the World Health Organization (WHO) declared COVID-19 as a global pandemic. Until June 3rd, 2020, this outbreak virus caused over 6,500,000 detected infection cases in 210 countries and territories and around 383,000 confirmed death cases. Although information about the appearance of the virus, i.e., its origin and capacity to spread among people, is still unclear, there are growing numbers of cases that are occurring from the communication of infected people with uninfected ones. 2019-nCoV is the third coronavirus which was detected in humans in the past two decades, after SARS-CoV and Middle Eastern Respiratory Coronavirus (MERS-CoV) that appeared in 2002 and 2012, respectively. In this review, we summarized the up-to-date information regarding COVID-19’s origin, ways of spread, patients’ symptoms, treatment, and prevention.

DAMPAK COVID -19 TERHADAP PENERAPAN PENDIDIKAN KARAKTER DAN PENDIDIKAN ISLAM

2021 ◽  
Vol 5 (1) ◽  
pp. 114-124
Author(s):  
Miftahul Ulfah
Keyword(s):  
Character Education ◽  
Islamic Education ◽  
World Health ◽  
Literature Study ◽  
Infected People ◽  
Global Pandemic ◽  
The World ◽  
Even Order ◽  
Health Organization ◽  
Almost All

ABSTRACTThe spreading of a new corona virus named Covid-19 has caused so many death tolls to almost all countries in the world. Researchers suspect that this virus originated from the traditional market in China's Wuhan City selling a wide variety of fresh wet animals traded for consumption, including bats and pangolins which ultimately transmit the virus to humans. The World Health Organization has confirmed that Covid-19 transmission through droplets or sparks from infected people through talking, sneezing or coughing. With such causes, world governments recommend and even order the citizens to always maintain health and hygiene by washing hands, wearing masks, and covering mouths when sneezing or coughing. While in Islam, there are also procedures for behaving to maintain health and cleanliness. This literature study used qualitative method to examine the relevance of the global pandemic to the Islamic character education. This study then found that the influence of Covid-19 on the application of character education and Islamic education. This conclusion could be seen from the factors that influence the majority of characters carried out during the Covid-19 plague including instincts, habits, wills and conscience.Keywords: Application, Character Education, Covid-19, Islamic Education

scholarly journals NATURAL COMPOUNDS FROM DJIBOUTIAN MEDICINAL PLANTS AS INHIBITORS OF COVID-19 BY IN SILICO INVESTIGATIONS

2020 ◽  
pp. 52-57
Author(s):  
ABDIRAHMAN ELMI ◽  
S. AL-JAWAD SAYEM ◽  
MOHAMED AHMED ◽  
FATOUMA ABDOUL-LATIF
Keyword(s):  
Medicinal Plants ◽  
Natural Compounds ◽  
Binding Energies ◽  
Pharmacokinetic Parameters ◽  
Global Pandemic ◽  
Main Protease ◽  
Target Sites ◽  
Better Than

Objective: The new coronavirus type SARS-Cov 2 (severe acute respiratory syndrome), which appeared in autumn 2019 in China, became a global pandemic in a few months. In this work, we looked for the potential anti SARS-Cov 2 of the compounds isolated from three Djiboutian medicinal plants, namely Acacia seyal, Cymbopogon commutatus, and Indigofera caerulea. Methods: We carried out a molecular docking with nine biomolecules, β-Sitosterol, Quercetin, Catechin, Lupeol, Rutin, Kaempferol, Gallic acid, Piperitone and Limonene on three target sites which are SARS-CoV-2 main protease (Mp), SARS-CoV-2 receptor-binding domain (RBD) and human furin protease. These targets are chosen because of their role in the process of penetration of the virus into human cells and its multiplication. Moreover, the predictions of pharmacokinetic parameters as well as toxicological properties have been determined using an online bioinformatics tool named SwissADME and AdmetSAR respectively. Results: The phenolic compounds have a very good affinity on these three target sites with binding energies of up to-9.098 kcal/mol for rutin on SARS-CoV-2 Mp, much better than the two reference drugs hydroxychloroquine (-5.816 kcal/mol) and remdesivir (-7.194 kcal/mol). Except for β-Sitosterol, the tested biomolecules have weak toxicity. Conclusion: These natural compounds can be used against covid 19 pending In vitro and In vivo evaluations.

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