scholarly journals COVID-19 : Detailed Analytics & Predictive Modelling using Deep Learning

2020 ◽  
pp. 95-104
Author(s):  
Arjun Dutta ◽  
Aman Gupta ◽  
Farhan Hai Khan
Keyword(s):  
Deep Learning ◽  
Predictive Modelling ◽  
Mortality Rates ◽  
Infection Frequency ◽  
The Novel ◽  
Current Spread ◽  
The World ◽  
Novel Coronavirus ◽  
Death Cases ◽  
Future Growth

The rise of COVID-19 pandemic is alarmingly exponential in nature, and there is no certain predictability in the patterns of its future growth. This research aims at providing suitable insights into the current spread of the novel coronavirus (COVID 19) and conveys detailed analysis into current statistical growth rates of the infection frequency for diverse cases. We also provide schematic visualizations contrast and compare trends between various countries and India. We inspect closely and differentiate between the curves for the mortality rates globally. Also projected categorically most affected states of India.Finally, this research proposes methodologies for design and implementation of deep learning models for the predictive modelling of the various cases around the world and delivers predictions till March 2021 for confirmed and death cases.

Face masks are an essential tool to mitigate the ongoing SARS-CoV-2 pandemic: a call to action

2020 ◽  
Vol 3 (3) ◽  
pp. 157-159
Author(s):  
P. Dehgani-Mobaraki ◽  
A. Kamber Zaidi ◽  
J.M. Levy ◽  
Keyword(s):  
Upper Airway ◽  
World Health ◽  
Contact Tracing ◽  
The Novel ◽  
Call To Action ◽  
Public Health Emergencies ◽  
Current Spread ◽  
The World ◽  
Health And Disease ◽  
Novel Coronavirus

Over the past several months, an increasing volume of infor- mation has expanded awareness regarding the transmission of SARS-CoV-2, the novel coronavirus associated with COVID-19. Following the pandemic declaration by the World Health Orga- nization (WHO), global authorities immediately took measures to reduce the transmission and subsequent morbidity associa- ted with this highly contagious disease. However, despite initial success in “flattening the curve” of viral transmission, many areas of the world are currently experiencing an increase in com- munity transmission, threatening to replicate the early public health emergencies experienced by Italy (1,2). In addition, the possibility of contact tracing through geosocial applications and public service platforms have been met with variable interest (3). Given current spread and the upcoming influenza season, it is essential that we use our voices as experts in upper airway health and disease to educate and encourage all communities to adopt appropriate protective measures, including the routine use of facemasks.

scholarly journals Covid- 19 Confirmed, Recovered, Death Cases In India: Ratio Analysis

2020 ◽  
pp. 208-212
Keyword(s):  
Public Health ◽  
Public Health Emergency ◽  
Ratio Analysis ◽  
The Novel ◽  
Analysis Technique ◽  
The World ◽  
Novel Coronavirus ◽  
Death Cases

: The novel coronavirus (COVID-19) has effected the 213 countries around the world.It has declared a Public Health Emergency of International Concern on 30 January 2020 by WHO and created tremendous chaos around the world, affecting people’s lives and causing a large number of deaths. On the date of 21st April 2020 total covid confirmed cases are 5,090,977,recovered cases are 2,025,878 and death cases are 329,757. To study the relation between the confirmed ,recovered and death cases in India this study has been undertaken . For the same Ratio analysis technique is used. Here will trying to find that the number of recovered cases will have effect the number of death cases.

scholarly journals A Deep Learning Based Approach for Patient Pulmonary CT Image Screening to Predict Coronavirus (SARS-CoV-2) Infection

Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1735
Author(s):  
Parag Verma ◽  
Ankur Dumka ◽  
Rajesh Singh ◽  
Alaknanda Ashok ◽  
Aman Singh ◽  
...  
Keyword(s):  
Deep Learning ◽  
Influenza A ◽  
Human Life ◽  
Ct Images ◽  
Learning Technology ◽  
Ct Image ◽  
The Novel ◽  
Early Screening ◽  
The World ◽  
Novel Coronavirus

The novel coronavirus (nCoV-2019) is responsible for the acute respiratory disease in humans known as COVID-19. This infection was found in the Wuhan and Hubei provinces of China in the month of December 2019, after which it spread all over the world. By March, 2020, this epidemic had spread to about 117 countries and its different variants continue to disturb human life all over the world, causing great damage to the economy. Through this paper, we have attempted to identify and predict the novel coronavirus from influenza-A viral cases and healthy patients without infection through applying deep learning technology over patient pulmonary computed tomography (CT) images, as well as by the model that has been evaluated. The CT image data used under this method has been collected from various radiopedia data from online sources with a total of 548 CT images, of which 232 are from 12 patients infected with COVID-19, 186 from 17 patients with influenza A virus, and 130 are from 15 healthy candidates without infection. From the results of examination of the reference data determined from the point of view of CT imaging cases in general, the accuracy of the proposed model is 79.39%. Thus, this deep learning model will help in establishing early screening of COVID-19 patients and thus prove to be an analytically robust method for clinical experts.

Comparative docking of SARS-CoV-2 receptors antagonists from repurposing drugs

2020 ◽  
Author(s):  
Micael Davi Lima de Oliveira ◽  
Kelson Mota Teixeira de Oliveira
Keyword(s):  
World Health Organisation ◽  
World Health ◽  
Lung Cells ◽  
The Novel ◽  
High Modulation ◽  
Main Protease ◽  
The World ◽  
Novel Coronavirus ◽  
Viral Receptors ◽  
Theoretical Results

According to the World Health Organisation, until 16 June, 2020, the number of confirmed and notified cases of COVID-19 has already exceeded 7.9 million with approximately 434 thousand deaths worldwide. This research aimed to find repurposing antagonists, that may inhibit the activity of the main protease (Mpro) of the SARS-CoV-2 virus, as well as partially modulate the ACE2 receptors largely found in lung cells, and reduce viral replication by inhibiting Nsp12 RNA polymerase. Docking molecular simulations were performed among a total of 60 structures, most of all, published in the literature against the novel coronavirus. The theoretical results indicated that, in comparative terms, paritaprevir, ivermectin, ledipasvir, and simeprevir, are among the most theoretical promising drugs in remission of symptoms from the disease. Furthermore, also corroborate indinavir to the high modulation in viral receptors. The second group of promising drugs includes remdesivir and azithromycin. The repurposing drugs HCQ and chloroquine were not effective in comparative terms to other drugs, as monotherapies, against SARS-CoV-2 infection.

Association and treatment of diabetes in patients affected by Covid-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1198-1201
Author(s):  
Syed Yasir Afaque
Keyword(s):  
Diabetes Mellitus ◽  
Prognostic Value ◽  
Heart Diseases ◽  
The Novel ◽  
The World ◽  
Treatment Of Diabetes ◽  
Coronavirus Infection ◽  
Composite Outcomes ◽  
Novel Coronavirus ◽  
The Impact

In December 2019, a unique coronavirus infection, SARS-CoV-2, was first identified in the province of Wuhan in China. Since then, it spread rapidly all over the world and has been responsible for a large number of morbidity and mortality among humans. According to a latest study, Diabetes mellitus, heart diseases, Hypertension etc. are being considered important risk factors for the development of this infection and is also associated with unfavorable outcomes in these patients. There is little evidence concerning the trail back of these patients possibly because of a small number of participants and people who experienced primary composite outcomes (such as admission in the ICU, usage of machine-driven ventilation or even fatality of these patients). Until now, there are no academic findings that have proven independent prognostic value of diabetes on death in the novel Coronavirus patients. However, there are several conjectures linking Diabetes with the impact as well as progression of COVID-19 in these patients. The aim of this review is to acknowledge about the association amongst Diabetes and the novel Coronavirus and the result of the infection in such patients.

Synthetic and semi-synthetic drugs as promising therapeutic option for the treatment of COVID-19

2020 ◽  
Vol 20 ◽  
Author(s):  
Ekta Shirbhate ◽  
Preeti Patel ◽  
Vijay K Patel ◽  
Ravichandran Veerasamy ◽  
Prabodh C Sharma ◽  
...  
Keyword(s):  
Therapeutic Option ◽  
Antiviral Treatment ◽  
The Novel ◽  
Clinical Experiences ◽  
Synthetic Compounds ◽  
Synthetic Drugs ◽  
Global Pandemic ◽  
The World ◽  
Novel Coronavirus

: The novel coronavirus disease-19 (COVID-19), a global pandemic that emerged from Wuhan, China has today travelled all around the world, so far 216 countries or territories with 21,732,472 people infected and 770,866 deaths globally (as per WHO COVID-19 update dated August 18, 2020). Continuous efforts are being made to repurpose the existing drugs and develop vaccines for combating this infection. Despite, to date, no certified antiviral treatment or vaccine prevails. Although, few candidates have displayed their efficacy in in vitro studies and are being repurposed for COVID-19 treatment. This article summarizes synthetic and semi-synthetic compounds displaying potent activity in their clinical experiences or studies against COVID-19 and also focuses on mode of action of drugs being repositioned against COVID-19.

scholarly journals An outline of SARS-CoV-2 pathogenesis and the complement cascade of immune system

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Padmalochan Hembram
Keyword(s):  
Immune System ◽  
Dark Side ◽  
Main Body ◽  
The Novel ◽  
Transmission Chain ◽  
The World ◽  
Therapeutic Molecules ◽  
Rapid Transmission ◽  
Novel Coronavirus ◽  
Near Future

Abstract Background Coronavirus disease 19 is a viral infection caused by a novel coronavirus, SARS-CoV-2. It was first notified in Wuhan, China, is now spread into numerous part of the world. Thus, the world needs urgent support and encouragement to develop a vaccine or antiviral treatments to combat the atrocious outbreak. Main body of the abstract The origin of this virus is yet unknown; however, rapid transmission from human-to-human “Anthroponosis” has widely confirmed. The world is witnessing a continuous hike in SARS-CoV-2 infection. In light of the outbreak of coronavirus disease 19, we have aimed to highlight the basic and vital information about the novel coronavirus. We provide an overview of SARS-CoV-2 transmission, timeline and its pathophysiological properties which would be an aid for the development of therapeutic molecules and antiviral drugs. Immune system plays a crucial role in virus infection in order to control but may have dark side when becomes uncontrollable. The host and SARS-CoV-2 interaction describe how the virus exploits host machinery and how overactive host immune response can cause disease severity also addressed in this review. Short conclusion Safe and effective vaccines may be the game-changing tools, but in the near future wearing mask, washing hands at regular intervals, avoiding crowed, maintaining physical distancing and hygienic surrounding, must be good practices to reduce and break the transmission chain. Still, research is ongoing not only on how vaccines protect against disease, but also against infection and transmission.

scholarly journals COVID-19 Vaccination: From Interesting Agent to the Patient

Vaccines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 120
Author(s):  
Anis Daou
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Gastrointestinal Tract ◽  
Circulatory System ◽  
The Novel ◽  
Lead Compound ◽  
Fda Approval ◽  
The World ◽  
The Central Nervous System ◽  
Novel Coronavirus

The vaccination for the novel Coronavirus (COVID-19) is undergoing its final stages of analysis and testing. It is an impressive feat under the circumstances that we are on the verge of a potential breakthrough vaccination. This will help reduce the stress for millions of people around the globe, helping to restore worldwide normalcy. In this review, the analysis looks into how the new branch of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) came into the forefront of the world like a pandemic. This review will break down the details of what COVID-19 is, the viral family it belongs to and its background of how this family of viruses alters bodily functions by attacking vital human respiratory organs, the circulatory system, the central nervous system and the gastrointestinal tract. This review also looks at the process a new drug analogue undergoes, from (i) being a promising lead compound to (ii) being released into the market, from the drug development and discovery stage right through to FDA approval and aftermarket research. This review also addresses viable reasoning as to why the SARS-CoV-2 vaccine may have taken much less time than normal in order for it to be released for use.

scholarly journals Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

2020 ◽  
Vol 9 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Md. Siddikur Rahman ◽  
Noah C. Peeri ◽  
Nistha Shrestha ◽  
Rafdzah Zaki ◽  
Ubydul Haque ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
The Novel ◽  
The World ◽  
Novel Coronavirus ◽  
The Internet Of Things

Volatility transmission across international markets amid COVID 19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hechem Ajmi ◽  
Nadia Arfaoui ◽  
Karima Saci
Keyword(s):  
Crude Oil ◽  
International Markets ◽  
The Novel ◽  
Data Set ◽  
Health Crisis ◽  
Content Type ◽  
Volatility Transmission ◽  
Oil Markets ◽  
Novel Coronavirus ◽  
Death Cases

Purpose This paper aims to investigate the volatility transmission across stocks, gold and crude oil markets before and during the novel coronavirus (COVID-19) crisis. Design/methodology/approach A multivariate vector autoregression (VAR)-Baba, Engle, Kraft and Kroner generalized autoregressive conditional heteroskedasticity model (BEKK-GARCH) is used to assess volatility transmission across the examined markets. The sample is divided as follows. The first period ranging from 02/01/2019 to 10/03/2020 defines the pre-COVID-19 crisis. The second period is from 11/03/2020 to 05/10/2020, representing the COVID-19 crisis period. Then, a robustness test is used using exponential GARCH models after including an exogenous variable capturing the growth of COVID-19 confirmed death cases worldwide with the aim to test the accuracy of the VAR-BEKK-GARCH estimated results. Findings Results indicate that the interconnectedness among the examined market has been intensified during the COVID-19 crisis, proving the lack of hedging opportunities. It is also found that stocks and Gold markets lead the crude oil market especially during the COVID-19 crisis, which explains the freefall of the crude oil price during the health crisis. Similarly, results show that Gold is most likely to act as a diversifier rather than a hedging tool during the current health crisis. Originality/value Although the recent studies in the field focused on analyzing the relationships between different markets during the first quarter of 2020, this study considers a larger data set with the aim to assess the volatility transmission across the examined international markets Amid the COVID-19 crisis, while it shows the most significant impact on various financial markets compared to other diseases.

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