scholarly journals Detecting COVID 19 using Deep Learning

2021 ◽  
Vol 9 (8) ◽  
pp. 1234-1241
Author(s):  
Abhishek Uppula
Keyword(s):  
Deep Learning ◽  
World Economy ◽  
Virus Disease ◽  
X Rays ◽  
Learning Models ◽  
Rt Pcr ◽  
Wuhan City ◽  
Corona Virus ◽  
The World ◽  
Deep Learning Neural Network

Abstract: Corona virus disease 2019 (COVID 19) is defined as illness caused by novel corona virus now called severe acute respiratory syndrome corona virus 2 (SARS-Cov-2; formally called as 2019-nCov), which was first identified in Wuhan City, Hubei Province, China. The spreading of COVID 19 is very fast throughout the world. World economy as well as public health has been facing a devastating effect caused by COVID 19. Hence detecting COVID 19 is challenging task even we have multiple methods like RT-PCR, COVID kits. The RT-PCR may not available in all laboratory, even exists which take some time to process and get reports and COVID 19 test kits may not available in all places. So, the main intention of this paper is to detect COVID 19 with in low budget, less time and accurate results. We have trained deep transferred learning models like ResNet-50, ResNet-101 using COVID positive, Normal, Viral Pneumonia chest x-rays. ResNet-50, ResNet-101 is pre-trained deep learning neural network. ResNet-50 provides 98% of accuracy where ResNet-101 gives us 97% of accuracy. Keywords: COVID 19, Deep Learning, ResNet-50, Transferred Learning, Artificial Intelligence.

scholarly journals The Effect of COVID-19 on Hospitalized Cancer Patients and Their Healthcare

2021 ◽  
pp. 699-703
Author(s):  
Jahnvi Garg ◽  
Ranjit S. Ambad ◽  
Nandkishor Bankar
Keyword(s):  
Cancer Patients ◽  
Virus Disease ◽  
Rt Pcr ◽  
Vulnerable Group ◽  
Healthcare Facilities ◽  
Corona Virus ◽  
Global Pandemic ◽  
The World ◽  
Utmost Care ◽  
Staying At Home

Introduction: This article includes the effect of Corona virus disease on cancer patients and their healthcare facilities. The global pandemic mentioned around the world has impacted the most vulnerable group of patients- cancer. With the assistance of RT PCR tests and HRCT, oncologists and doctors have tried to provide treatment to Covid-19 patients. Cancer patients are more susceptible to Covid-19 than non-cancer or non-survivor patients, according to reports. To avoid the prevalence and infection of cancer victims, WHO has suggested staying at home and continuing their treatment through telemedicine unless the situation is critical for which they might require therapy and/or surgery. Covid-19 is here to stay so we should practice with utmost care and precaution.

scholarly journals MENUMBUHKAN KEMANDIRIAN SISWA SELAMA PEMBELAJARAN DARING SEBAGAI DAMPAK COVID-19 DI SD

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rida Fironika Kusumadewi ◽  
Sari Yustiana ◽  
Khoirotun Nasihah
Keyword(s):  
Elementary School ◽  
Online Learning ◽  
Character Education ◽  
Virus Disease ◽  
Electronic Media ◽  
Literature Study ◽  
Wuhan City ◽  
Corona Virus ◽  
The World ◽  
Almost All

Abstract. Currently, almost countries around the world have contracted Corono Virus Disease (Covid-19). This Virus initially appeared in China, precisely in Wuhan City at the end of 2019. This Virus is very dangerous because of its transmission from humans to other people so fast that even now there is no drug or vaccine that can overcome the corona virus. Indonesia is no exception, which is increasingly increasing the number of COVID-19 cases. The existence of this plague certainly has a big impact in almost all aspects of economic, social, cultural, even education. Almost all levels of education that were originally carried out in schools are now switching online/online. This article aims to explain  how the influence of independent character education on students during online learning. This study was conducted through literature study looking at the resulr of surveys ad journals from electronic media. The conclusion of this article is the inculcation of independent character during online learning in elementary school.

scholarly journals A Short Review of Benefits of Using Chest CT Characteristics for Early diagnoses to Corona Virus Disease 2019 (COVID-19)

2020 ◽  
pp. 1-6
Author(s):  
R. Vennila ◽  
R. Vennila ◽  
P. Venkatraman
Keyword(s):  
Computed Tomography ◽  
Virus Disease ◽  
Imaging Modality ◽  
Low Cost ◽  
Three Dimensional ◽  
Short Review ◽  
Developed Countries ◽  
Rt Pcr ◽  
Corona Virus ◽  
The World

In 21st century, the year 2020 was expected with much development in India as well many other countries. But unfortunately, the world is facing many natural calamities. World is taking steps towards rescue mission of the disasters. Among of those calamities, deadly Corona Virus remains still all over the world as pandemic disease. Even the developed countries are struggling to come back to its normal routine. India is a country with developing technologies. Vaccines are yet to be developed for treatment of this Novel Corona Virus. As a diagnostic tool, Nasopharyngeal and Oropharyngeal swabs are taken from the person and tested using RT-PCR. This test is not 100 percent accurate. Confirmed COVID patients after few days are undergoing the medical imaging. This diagnostic imaging technique helps in showing the progression of this virus spread in Upper and Lower respiratory system. Chest Radiography is low cost modality but its sensitivity towards observation is 69%. Lung Ultrasound is used in Intensive Care patients and not used for routine diagnosing purpose. Computed Tomography plays a crucial role in three-dimensional chest imaging of COVID-19 patients. The sensitivity of CT is 98%. The aim of this paper is to consider CT as a tool for diagnosing COVID-19 patient than using the standard tool RT-PCR. A brief knowledge about imaging modality like X-ray, Ultrasound and Computed Tomography when used against COVID patient is explained. This paper gives reason for the ideal use of CT diagnosis for COVID 19.

scholarly journals Literature Review of Epidemiological Phenomena: Corona Virus Disease Pandemic 2019

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yarmaliza Yarmaliza ◽  
Teungku Nih Farisni ◽  
Fitriani Fitriani ◽  
Zakiyuddin Zakiyuddin ◽  
Fitrah Reynaldi ◽  
...  
Keyword(s):  
Virus Infection ◽  
Severe Acute Respiratory Syndrome ◽  
Literature Review ◽  
Virus Disease ◽  
Wuhan City ◽  
Corona Virus ◽  
The World ◽  
History Of ◽  
New Type ◽  
The City

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or Corona virus is a new type of coronavirus that is transmitted to humans. Corona virus infection called COVID-19 (Corona Virus Disease 2019) was first discovered in the city of Wuhan, China at the end of December 2019. Until March 2, 2020, more than 80 thousand confirmed cases have been reported in China. Of these cases, 49 thousand were identified in Wuhan City. Epidemiologically, the spread or distribution of this disease has a wide social and economic impact on the world. Many literature studies about the COVID-19 outbreak, such as causes, natural history of the disease, even to the preventive and medical treatment. Since the end of 2019 until April 2020, there have been many published literature or literature studies at both national and international levels, so this paper aims to examine literature studies related to COVID-19.

scholarly journals Therapeutic Management of Covid-19 Pneumonia with Ayurveda – Case Series Report

2021 ◽  
Vol 5 (2) ◽  
pp. 113-121
Author(s):  
Ghanshyam M Dongare ◽  
Yashashree V. Joshi
Keyword(s):  
Virus Disease ◽  
Case Series ◽  
Evidence Based ◽  
X Rays ◽  
Antigen Test ◽  
Rt Pcr ◽  
Corona Virus ◽  
Case Series Report ◽  
Ayurvedic Treatment ◽  
Series Report

Infection of Severe Acute Respiratory Syndrome Corona virus 2 (SARS-CoV- 2) which causes novel corona virus disease (COVID-19) has put the world in a medical disaster. Scientists are taking vast efforts to contain the disease by finding a vaccine or clinically proven medicine. Despite the efforts there is no proven medication in any stream of medicine. Covid19 affects respiratory tract and causes pneumonia. Here we are presenting a case series report of patients who had developed Covid19 with subsequent pneumonia and approached for Ayurvedic treatment. All these patients were primarily diagnosed with Covid-19 by RT PCR and SAARS Covid-19 Antigen test. They had subsequently developed viral pneumonia. As per Ayurveda, patients had developed symptoms of vitiation of Vata and Kapha Doshas which affected Rasavaha Srotasa and Pranavaha Srotasa. Patients were treated uniformly with internal Ayurvedic medicines which were prescribed for median duration of 30days and had been analyzed clinically with pre and post chest X-rays. All the symptoms were relieved as well as haziness in chest was also cleared in all patients, which was confirmed with pre and post chest x-rays. This study will be an evidence-based example that Ayurveda can contribute in fight against Covid-19 successfully.

scholarly journals Screening all incoming travellers for COVID-19, What the world could learn from Qatar?

2021 ◽  
Vol 7 (1) ◽  
pp. 19-24
Author(s):  
Zahid Habib ◽  
◽  
Misbah ul Haque ◽  
Yawer Hafeez ◽  
Maysaa M Ashkanani ◽  
...  
Keyword(s):  
Local Community ◽  
Virus Disease ◽  
Causative Organism ◽  
Rt Pcr ◽  
Corona Virus ◽  
The World ◽  
Global Spread ◽  
Travel Restrictions ◽  
Oropharyngeal Swab ◽  
Global Travel

Background: There is a global spread of Corona Virus Disease (COVID-19) with Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) being identified as the causative organism. This pandemic has infected over 53 million people globally causing over 1.3 million deaths resulting in lockdowns being implemented across many countries in the world. Global travel has been severely restricted especially in the early phase with far reaching social, economic and emotional implications. In addition to local measures undertaken by each country to curtail the spread of the disease, many countries implemented entry restriction on flights to reduce the risk of importing the disease by potentially infected incoming travellers. The State of Qatar eased travel restrictions from 1st of September 2020 (Phase IV of reopening of pandemic restrictions) [1]. Incoming travellers from high risk countries had to have a mandatory COVID-19 Naso-Oropharyngeal swab negative result before boarding their flight to Qatar. Then they had to commit to two weeks of compulsory quarantine. Travellers from low risk countries had to be swabbed at Hamad international airport on arrival, followed by a week’s mandatory home quarantine. All travellers had to have COVID-19 RT-PCR nasooropharyngeal swab on day 6 after arrival in Qatar. Method: We looked at the data provided by Ministry of Public Health (MOPH), Qatar from 1st of September to 30th of November. This was retrospective observational study looking at the prevalence of COVID positivity of return travellers as compared to the total positive cases in the country [1]. Results: In our review, out of a total of 19,909 COVID-19 positive cases, 2692 were incoming travellers which amounts to about 14 % of total COVID positive cases in Qatar. It was also noted that with each passing day, the ratio of incoming traveller’s in comparison to the total cases have been increasing, with figures of 9% in September 2020 as compared to 21% in November 2020. Conclusion: This figure clearly shows how important it is to screen all return travellers for COVID-19 as travellers are generally asymptomatic and could potentially spread the disease in the local community. All countries should consider implementing similar policies to reduce the risks of importing COVID-19.

scholarly journals Average Mortality Rate of COVID-19 in Iran

2020 ◽  
Author(s):  
Sajjad Baber
Keyword(s):  
Mortality Rate ◽  
World Health Organization ◽  
Virus Disease ◽  
Hubei Province ◽  
World Health ◽  
Wuhan City ◽  
Corona Virus ◽  
The World ◽  
Health Organization

Background: Corona virus disease was first reported in Wuhan City, Hubei province, China. Soon the corona virus disease has spread to many countries. World health organization has described the situation as Pandemic. By 12 March 2020, corona virus disease has affected 125 countries around the world. Corona virus was first confirmed in Iran on 19 February 2020. Objective: The aim of writing this small article is to determine the mortality rate of corona virus disease in different cities of Iran. This article will give readers an idea of different ways to control spread of corona virus disease in Iran. Methods: Author has collected the data of daily confirmed cases from different diagnostic centers and hospitals across the country from 19 February 2020 to 1 April 2020. Results: Mortality rate of corona virus disease is roughly 4%. Conclusions: Mortality rate could rise if COVID 19 infection is not controlled.

scholarly journals COVID-19 and its Impact on Socio-Economic Life of Human (With Reference to the India)

2021 ◽  
pp. 748-752
Author(s):  
Dr. Sudha Jain
Keyword(s):  
Virus Disease ◽  
Economic Life ◽  
Wuhan City ◽  
Corona Virus ◽  
The World ◽  
The Government

Corona virus disease, which was initiated in 2019. However, in 2019 it was limited to Wuhan city of China only.. There the government was trying to hide it. He had made it his reputation issue. People were losing their lives too much. This disease was constantly increasing in people. Twenty to thirty, then the figure was reached above forty and eighty thousand. These were not going to stop. From January to February, it started spreading to other nations. Because it was spread to other nations through traffic from China. After March 20 in the month of March, it was reduced and gradually ended and controlled in China and continued to grow in other nations. With the onset of the epidemic, the world started changing in the form of pandemic.

scholarly journals Real Time Face Mask Identification using AI-Deep Learning Neural Network

2021 ◽  
Vol 9 (VI) ◽  
pp. 1424-1432
Author(s):  
Aishwarya. B. K
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Virus Disease ◽  
Face Mask ◽  
Primary Objective ◽  
Working Environment ◽  
Corona Virus ◽  
Learning Techniques ◽  
Deep Learning Neural Network ◽  
Safe Working

The COVID - 19 pandemic is devastating mankind irrespective of caste, creed, gender, and religion. Contribution of each individual to constrain the expansion of the corona- virus. Is a primary objective/Fundamental duties as a responsible individual to Use a face mask can undoubtedly help in managing the spread of the virus. COVID - 19 face mask Detector uses or owns Facemask net, deep learning techniques to successfully test whether a person is with wearing a face mask or not. In this project we are working on “FACE MASK IDENTIFICATION USING AI DEEP LEARNING NEURAL NETWORK”. The end of 2019 witnessed the outbreak of Corona virus Disease 2019 (COVID-19), which has continued to be the cause of plight for millions of lives and businesses even in 2020. As the world recovers from the pandemic and plans to return to a state of normalcy, there is a wave of anxiety among all individuals, especially those who intend to resume in-person activity. Studies have proved that wearing a face mask significantly reduces the risk of viral transmission as well as provides a sense of protection. However, it is not feasible to manually track the implementation of this policy. Technology holds the key here. We are using a Deep Learning based system that can detect instances where face masks are not used properly. Our system consists of a faster region-based Convolution Neural Network (FRCNN) architecture capable of detecting masked and unmasked faces and can be integrated with preinstalled CCTV cameras. This will help track safety violations, promote the use of face masks, and ensure a safe working environment.

scholarly journals CREDIT SAVING EFFORTS AFFECTED BY CORONA VIRUS DISEASE 2019 (COVID-19) THROUGH THE CREDIT RESTRUCTURE PROCESS.

2020 ◽  
Vol 2 (02) ◽  
pp. 32-39
Author(s):  
Aprinisa
Keyword(s):  
World Economy ◽  
Virus Disease ◽  
Human Life ◽  
Investment Climate ◽  
Corona Virus ◽  
The World ◽  
Life Threatening ◽  
Banking Institutions ◽  
Operational Activities ◽  
The Impact

The pandemic over the Corona virus Disease 2019 (Covid-19) outbreak is engulfing the world which has left many people dead and all sides of human life affected. Not only is it life-threatening but the impact of the Covid-19 pandemic has also had a significant impact on the survival of the world economy and a country in particular. As a result of the Covid-19 pandemic, economic growth was hampered, business activities were forced to close so that there were many layoffs everywhere, the investment climate became sluggish, and people’s incomes were reduced even zero, resulting in the inability of people to meet their needs, especially for credit debtor customers. The impact of the Covid-19 pandemic has caused credit debtor customers to have difficulty carrying out their obligations to pay installments on loans or loans to banking institutions. At the current conditions, the bank in carrying out its operational activities is required to provide relief and policies to credit debtor customers directly affected from the Covid-19 pandemic and one of the efforts that can be made is the implementation of credit Restructure to maintain the health and correctness of the credit provided.

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