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Diagnosis for COVID-19

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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Abstract

“COVID-2019,” a recently emerged novel coronavirus disease, is causing serious health issues to the public and becoming more and more fatal every next day. On December 31, 2019, low respiratory infection cases were detected in Wuhan, China, which is in China’s Hubei province. The cases were reported to the WHO Office of China and they could not identify the agents for the cause. The first cases were classified to be “pneumonia of unknown etiology.” The investigation program was initiated by the Chinese Center for Disease Control and Prevention (CDC). The etiology of the disease was attributed to a novel virus of the coronavirus (CoV) family. Dr. Tedros Adhanom Ghebreyesus, WHO Director-General, called the disease caused by this CoV the “COVID-19,” which is an acronym for “coronavirus disease 2019.” It is found that “COVID-19” is caused by bête-coronavirus named “severe acute coronavirus-2” (SARS-CoV-2). It belongs to those virus families that appear as pneumonia in the human body. It affects the lower respiratory tract badly. This virus has been identified as another version of the family of severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syndrome coronavirus (MERS-CoV) [1, 2]. SARS-CoV-2, SARS-CoV, and MERS-CoV possess similarity with them. They have differences in genotypic and phenotypic structure that guide their pathogenesis. So far, as per the findings, this virus originated in bats. It reached humans through contact with unknown animals. The transmission of this virus among humans is via direct contacts, inhalation of infected droplets, and contaminated hands and surfaces. Some of the symptoms of this disease are cough, sore cough, fever, fatigue, and dyspnea/breathlessness. The remedy of this disease is to diagnose the infection at the initial stage, supportive treatment to survive, self-quarantines, mass-quarantines, etc. This paper presents a systematic review of the origin of coronavirus, its types, transmissions, symptoms, and the current developments in diagnosing testing and vaccine trials.

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  1. Department of Information Technology, G. L. Bajaj Institute of Technology and Management, Greater Noida, UP, India

    Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, Arush Jain, Vaibhav Tyagi & Prem Chand Vashist

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  1. School of Computer Science and Engg., Orissa Engineering College, Bhubaneswar-Khordha, Odisha, India

    Subhendu Kumar Pani

  2. Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo University (Erstwhile North Orissa University), Takatpur, Baripada, Odisha, India

    Sujata Dash

  3. Biomedical Engineering, Federal University of Pernambuco, Recife, Pernambuco, Brazil

    Wellington P. dos Santos

  4. Comp Science, Mathematics and Science, St. John’s University, Jamaica, NY, USA

    Syed Ahmad Chan Bukhari

  5. Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden

    Francesco Flammini

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Tripathi, A., Pandey, A.B., Singh, A.K., Jain, A., Tyagi, V., Vashist, P.C. (2022). Diagnosis for COVID-19. In: Pani, S.K., Dash, S., dos Santos, W.P., Chan Bukhari, S.A., Flammini, F. (eds) Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-030-79753-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-79753-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79752-2

  • Online ISBN: 978-3-030-79753-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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