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AI-Based Classification and Detection of COVID-19 on Medical Images Using Deep Learning
Published in Amit Kumar Tyagi, Ajith Abraham, Recurrent Neural Networks, 2023
The visible signs of the coronavirus include fever, sore throat, dry coughing, breathlessness, stomach upset, and loss of the senses such as taste and smell. This in turn leads to extreme respiratory disease that often requires the afflicted person to be admitted to an intensive care unit. Initially the intensity and severity of COVID-19 were directly proportional to the age of the individual, and the death rate was high among the elderly population. As a consequence, COVID-19 is considered a high-risk emergency, and early diagnosis of the disease by following the symptoms carefully is a target, according to WHO, in order to break the chain of transmission and thereby monitor the virus’s spread. Medical imaging of the chest has been a commonly used diagnostic tool in clinical research during the past several years to examine abnormalities in the cardiac region of the human in order to detect and monitor the development of many pulmonary diseases including lung cancer, chronic bronchitis, lung inflammation, lung disease, and asthma, to name a few. In this scenario of COVID-19 disease, chest medical images such as X-ray scans showed many symptoms and patterns of lung malformation including bilateral anomalies, interstitial irregularities, lung aggregation, and surface opacities. Mostly as an outcome, the study of suspicious chest X-ray images provides an opportunity to aid in the diagnostic processes and early identification of the severity of COVID-19 disease in the affected individual, which may help save the individual’s life.
A Comparative Study of COVID-19 Data Analysis Using R Programming
Published in Salah-ddine Krit, Vrijendra Singh, Mohamed Elhoseny, Yashbir Singh, Artificial Intelligence Applications in a Pandemic, 2022
Yagyanath Rimal, Bharatendra Rai, Vijay Singh Rathore, Sakuntala Pageni, Prakash Gautam
Coronavirus (COV) causes illness ranging from the common cold to more serious diseases such as Middle East Respiratory Syndrome (MERS-Cov, 2012) and Severe Acute Respiratory Syndrome (SARS-COV, 2002) [26]. Coronavirus is zoonotic, that is, it can transmit between animals and human beings [26]. The primary source of coronavirus is believed to be a wet market in Wuhan, in December 2019, where both dead and live animals, including fish and birds, were sold [27] [28]. The Chinese authorities immediately tried to control the disease through many procedures such as placing patients in isolation to prevent airborne transmission of community spreading. COVID-19 causes more deaths during the initial disease in patients with asthma and/or heart disease, who have less immunity power due to previous diseases [29] [30].
Concept Structure of Database Management System (DBMS) Portal for Real-Time Tracking and Controlling the Spread of Coronavirus
Published in Ram Shringar Raw, Vishal Jain, Sanjoy Das, Meenakshi Sharma, Pandemic Detection and Analysis Through Smart Computing Technologies, 2022
Abhishek M. Thote, Rajesh V. Patil
Coronavirus is a single-strand virus RNA with club-type spikes emerging from its surface [1]. The most common symptoms of coronavirus infected person are dry cough, tiredness, and fever [2]. While, symptoms like headache, diarrhea, sored mouth and throat, skin rashes, body pain, pink eye (conjunctivitis) are also observed sometimes in the patient. Most of the patients with mild to moderate infection will experience these symptoms. The serious patients experience pain in the chest, speech loss and difficulty in breathing. Generally, old people and persons suffering from diabetes, respiratory, and cardiovascular problems, etc., are more prone to the coronavirus. Once the person is affected by the coronavirus, it generally takes 5–7 days to show the symptoms or up to 14 days in certain cases [2].
A DEA-based simulation-optimisation approach to design a resilience plasma supply chain network: a case study of the COVID-19 outbreak
Published in International Journal of Systems Science: Operations & Logistics, 2023
Peiman Ghasemi, Fariba Goodarzian, Vladimir Simic, Erfan Babaee Tirkolaee
Unfortunately, there is still no certain effective treatment for COVID-19. Moreover, the existing therapy options are now being tested. However, the convalescence plasma treatment has been tested and demonstrated effectiveness against the Coronavirus in some patients (Cai et al., 2020). Hence, designing an efficient system for BSC management will lead to the provision of timely blood transfusion services and the prevention of blood shortage at hospitals, which protects patients from dying or suffering needlessly. Meanwhile, voluntary donations are the main source of blood, which have several disadvantages such as little lifetime, a limited number of donors, and testing delays (Stanworth et al., 2020). According to the above-mentioned content, this study will be essential in providing a useful decision-making system for BSC management to avoid blood potential shortages and to assist donors in donating blood safely during the COVID-19 pandemic.
Crispr biosensing and Ai driven tools for detection and prediction of Covid-19
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2023
Abdullahi Umar Ibrahim, Pwadubashiyi Coston Pwavodi, Mehmet Ozsoz, Fadi Al-Turjman, Tirah Galaya, Joy Johnson Agbo
The major symptoms or signs of COVID-19 include fever, cough, difficulty in breathing and in severe cases, it can lead to pneumonia, kidney failure and death. COVID-19 belongs to viral specie that causes common cold. The name ‘Corona’ means ‘Crown’ which is name after the spike proteins on their surface which resemble crown as shown in Figure). Coronaviruses are zoonotic in nature and thus they can be transmitted from animals to humans. Although the exert source of the SARS-CoV-2 remains unknown for scientists but many evidences associated the virus to bats unlike SARS-CoV-1 and MERS-CoV, which are associated with Civet cat and Camels, respectively. COVID-19 can be transmitted through an infected person respiratory secretion such as cough or sneeze, physical contact with infected person or direct contact with surfaces that are contaminated with the virus (Park et al., 2020; Word Health Organization Report on Coronavirus disease, 22020; Chen N et al., 2020)
Fractional dynamics and stability analysis of COVID-19 pandemic model under the harmonic mean type incidence rate
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2022
Amir Khan, Rahat Zarin, Saddam Khan, Anwar Saeed, Taza Gul, Usa Wannasingha Humphries
Usual symptoms of the disease caused by corona virus are, cough, breathing difficulties, fever and headache. Some people may have symptoms like vomiting, nausea and diarrhea (Ellerin 2020; Naik et al. 2020; Khan et al. 2021; Yavuz et al. 2021). Due to the rapid nature of infection the outbreak of this disease has surprised the world. By January 23, 2020, in China, 571 cases were confirmed. Certain factors had been observed by scientist to understand the spread of the disease. Firstly, the genesis of the virus is associated with some wild animals like bats (CDC 2019; WHO 2019; Munster et al. 2020). Secondly, the symptoms appear in 2 to 14 days which is too long so is reasonable for the increasing spread of the disease, also some people infect others and show no symptoms (WHO 2020b, 2020c, 2020d; Babaei et al. 2021). To provide good and qualitative information about the etiology parameters mathematical models are been observed as a strong tools which lead health experts to best conclusions. Formulation and analysis of several mathematical models have been made to provide information about the disease (Rothe et al. 2020; Yang and Wang 2020; Zarin et al. 2020).