A Review on Detection of Covid Symptoms

Ansar Sheikh, Shivani Makde, Bhuvaneshwari Gaddamwar, Khushbu Akare, Poonam Thakur, Nikita Dongre, Sonali Deshmukh, Shraddha Malwe
International Journal of Computational and Electronic Aspects in Engineering
Volume 2: Issue 3, July 2021, pp 61-70

Author's Information
Khushbu Akare2 
Corresponding Author
2Student, Department of Computer Engineering, Suryodaya College of Engineering and Technology, Nagpur, India
akarekhushbu9371@gmail.com

 Ansar Sheikh1
1Assistant Professor, Department of Computer Engineering, Suryodaya College of Engineering and Technology, Nagpur, India


Shivani Makde1, Bhuvaneshwari Gaddamwar1, Poonam Thakur1Nikita Dongre1, Sonali Deshmukh1, Shraddha Malwe1
1Student, Department of Computer Engineering, Suryodaya College of Engineering and Technology, Nagpur, India
Review Paper -- Peer Reviewed
First online on – 10 July 2021

Open Access article under Creative Commons License

Cite this article –Ansar Sheikh, Shivani Makde, Bhuvaneshwari Gaddamwar, Khushbu Akare, Poonam Thakur, Nikita Dongre, Sonali Deshmukh, Shraddha Malwe , “A Review on Detection of Covid Symptoms”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 2, issue 3, pp. 61-70, 2021.
https://doi.org/10.26706/ijceae.2.3.20210605

Abstract:-
Telemedicine may hold the key to limiting the emerging coronavirus disease's global outbreak (COVID-19). The COVID-19 virus directly affects the lungs, causing pneumonia-like symptoms and shortness of breath, both of which can be fatal. Despite the fact that self-quarantine and social isolation are crucial during a pandemic, the technique for identifying COVID-19 contraction via nose swabs, saliva test kits, and blood testing is routinely available at healthcare facilities. As a result, developing customized self-testing kits for the COVID-19 virus and related viruses is a top goal. Many e-health initiatives are now possible thanks to smartphones with embedded software, hardware, high-performance computation, and networking capabilities. COVID-19 contracted users' breathing sounds may reveal certain acoustic signal patterns that are worth researching, according to a thorough assessment of breathing sounds and their implications in recognizing respiratory issues. Obtaining respiratory data solely from breathing noises input into a smartphone's microphone appears to be an intriguing solution in this area. Advanced signal processing and analysis, in conjunction with modern deep/ machine learning and pattern recognition algorithms, can be used to analyze the obtained breathing sounds to separate the breathing phases, estimate lung volume, oxygenation, and further classify the breathing data input into healthy or unhealthy situations. For the ongoing global COVID-19 pandemic, the concepts mentioned have the potential to be employed as self-test breathing monitoring apps, with users being able to check their breathing sound pattern on a frequent basis.
Index Terms:-
Sensor technology, e-health, telemedicine, and home health monitoring
REFERENCES

  1. Organization. Summary of probable SARS cases with onset of illness from 1 November 2002 to 31 July 2003.

  2. World Health Organization. Coronavirus disease 2019 (covid-19): situation report, 162. 2020.
  3. Matt J Keeling, T Deirdre Hollingsworth, and Jonathan M Read, “The efficacy of contact tracing for the containment of the 2019 novel coronavirus (covid-19)”, medRxiv, 2020.
  4. Stefano Boccaletti, William Ditto, Gabriel Mindlin, and Abdon Atangana, “Modeling and forecasting of epidemic spreading: The case of covid-19 and beyond”, Chaos, Solitons, and Fractals, 2020.
  5. Centers for Disease Control and Prevention (CDC), “Update: Outbreak of severe acute respiratory syndrome--worldwide, 2003”, MMWR Morb Mortal Wkly Rep. 2003; 52(12):241–6.
  6. World Health Organization. Coronavirus never before seen in humans is the cause of SARS– update 31. Geneva: The Organization; 2003.
  7. World Health Peiris JS, Lai ST, Poon LL, Guan Y, Yam LY, Lim W, et al. Coronavirus as a possible cause of severe acute respiratory syndrome. Lancet. 2003; 361:1319–25.
  8. World Health Organization. WHO Statement Regarding Cluster of Pneumonia Cases in Wuhan, China Geneva 2020, updated 9 January 2020 and 14 January 2020. Available at- https://www.who.int/china/news/detail/09-01-2020-who-statement-regarding-cluster-of-pneumonia-cases-in-wuhan-china
  9. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al., “A Novel Coronavirus from Patients with Pneumonia in China, 2019”, New England Journal of Medicine, 24 January 2020.
  10. Woo PC, Lau SK, Huang Y, Yuen KY., “Coronavirus diversity, phylogeny and interspecies jumping”, Exp Biol Med (Maywood), 2009 Oct; 234(10):1117-27. doi: 10.3181/0903-MR-94.
  11. De Souza Luna LK, Heiser V, Regamey N, Panning M, Drexler JF, Mulangu S, et al., “Generic detection of coronaviruses and differentiation at the prototype strain level by reverse transcription–PCR and nonfluorescent low-density microarray”, J Clin Microbiol, 2007 Mar; Volume 45(3):1049-52. doi: 10.1128/JCM.02426-06. Epub 2007 Jan 17
  12. Letko M, Munster V., “Functional assessment of cell entry and receptor usage for lineage B β-coronaviruses, including 2019- nCoV. bioRxiv”, Nature Microbiology doi: 10.1038/s41564-020-0688-y.
  13. Sharma T, Bashir M.. “Use of apps in the COVID-19 response and the loss of privacy protection”, Nat Med. 2020; Volume 26(8):1165–1167.
  14. Ministry of Health. E-Services - (Mawid) service; 2020. Available from: https://www.moh.gov.sa/en/eServices/Pages/cassystem.aspx. 20, 2020.
  15. Frontier Enterprise. New app from Saudi Ministry of Health makes access to health services easier; 2020. Available from: https://www.frontier-enterprise.com/new-app-from-saudi-ministry-of-health-makes-access-to-health-services-easier/. Accessed August 20, 2020.
  16. Arab News. Saudi Arabia’s Mawid smartphone app offers coronavirus self-assessment; 2020. Available from: https://www.arabnews.com/node/1652171/saudi-arabia. Accessed August 20, 2020.
  17. Covid Watch. COVID Watch exposure notification app digital contact tracing; 2020. Available from: https://www.covidwatch.org/. Accessed August 20, 2020.
  18. Pathcheck Foundation. PathCheck Foundation | COVID-19 Technology & Research; 2020. Available from: https://pathcheck.org/. Accessed August 20, 2020.
  19. Google Play. PathCheck SafePlaces; 2020. Available from: https://play.google.com/store/apps/details?id=org.pathcheck.covidsafepaths&hl=en_US. 20, 2020.
  20. Stevens H, Haines M, “Tracetogether: pandemic response, democracy, and technology”, East Asian Science, Technology Society. 2020.doi: 10.1215/18752160-8698301. 14 523–532
  21. Dhār T, “Aarogya Setu - Carrying your privacy in your hands?”, May 29, 2020. Available from: https://ssrn.com/abstract=3614506. Accessed August 20, 2020.
  22. Mitchell WB, Mehta S., “Trace Together. Harvard business school case 820-111”, 2020. Available from: https://www.hbs.edu/faculty/Pages/item.aspx?num=58357. Accessed December 30, 2020.
  23. Jhunjhunwala, “A. Role of telecom network to manage COVID-19 in India: Aarogya Setu”, Transactions Indian National Academy Engineering. 2020; 5(2):157–161. doi:10.1007/s41403-020-00109-7
  24. Alam T., “Coronavirus disease (COVID-19): reviews, applications, and current status”, SSRN Electronic J. 2020. doi:10.2139/ssrn.3660497
  25. Times of India.Aarogya Setu app download: Aarogya Setu app enters 100 million users club; 2020. Available from: https://timesofindia.indiatimes.com/gadgets-news/aarogya-setu-app-enters-100-million-users-club/articleshow/75709726.cms. Accessed August 20, 2020.
  26. Australian Government. COVIDSafe app. Available from: https://www.covidsafe.gov.au/. Accessed August 20, 2020.
  27. Department of Health. COVIDSafe app. Available from: https://www.health.gov.au/resources/apps-and-tools/covidsafe-app. Accessed August 20, 2020.
  28. Saudi Press Agency. SDAIA launches Tawakkalna app to facilitate the issuance of movement permits electronically during the curfew period. Official Saudi Press Agency; 2020. Available from. https://www.spa.gov.sa/viewfullstory.php?lang=en&newsid=2082059.
  29. Alam T., “Internet of things and blockchain-based framework for Coronavirus (COVID-19) disease”, SSRN Electronic J. 2020. doi:10.2139/ssrn.3660503
  30. Google Play. Immuni; 2020. Available from: https://play.google.com/store/apps/details?id=it.ministerodellasalute.immuni&hl=en. 20, 2020.
  31. Presidenza del Consiglio dei Ministri. Immuni; 2020. Available from: https://www.immuni.italia.it/. 20, 2020.
  32. Saudi Data and AI Authority. TABAUD; 2020. Available from: https://tabaud.sdaia.gov.sa/IndexEn. 20, 2020.
  33. Salama S. COVID-19: 15,000 Saudis report having coronavirus via app. Gulf News. 2020. Available from https://gulfnews.com/world/gulf/saudi/covid-19-15000-saudis-report-having-coronavirus-via-app-1.73253086. Accessed, 2020.
  34. World Health Organization. Available at https://www.who.int/
  35. Lung Cancer Fact Sheet, American Lung Association. Available at www.lung.org (last accessed May 22, 2020).
  36. Brown MS, Goldin JG, Suh RD, McNitt-Gray MF, Sayre JW, Aberle DR, “Lung micronodules: Automated method for detection at thin-section CT-initial experience”, Radiology 2003; Volume 226, 256–262.
  37. NHS UK. The NHS test and trace app support website; 2020. Available from: https://covid19.nhs.uk/. Accessed August 20, 2020.
  38. NHS UK. Category · COVID-19 app support; 2020. Available from: https://faq.covid19.nhs.uk/category/?id=CAT-01022&parentid=. Accessed August 20, 2020.
  39. The Local. Italy launches Immuni contact-tracing app: here’s what you need to know. Available from: https://www.thelocal.it/20200605/italy-to-begin-testing-immuni-contact-tracing-app-in-four-regions. Accessed August 20, 2020.
  40. Sudre C, Lee K, Lochlainn M, et al., “Symptom clusters in COVID19: a potential clinical prediction tool from the COVID symptom study app”, Sci Adv, 2021 Mar 19;7(12):eabd4177. doi: 10.1126/sciadv.abd4177.
  41. Zoe. COVID symptom study - help slow the spread of COVID-19; 2020. Available from: https://covid.joinzoe.com/. Accessed August 20, 2020.
  42. Zargar A. 2020. Privacy, security concerns as India forces virus-tracing app on millions. Available at https://www.cbsnews.com/news/coronavirus-india-contact-tracing-app-privacydata-security-concerns-aarogya-setu-forced-on-millions/.
  43. Zhong N, Zheng B, Li Y, Poon L, Xie Z, Chan K., “Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People’s Republic of China, in February”, Sci Adv, 2021 Mar 19;7(12):eabd4177, doi: 10.1126/sciadv.abd4177.
  44. Reichert S, Gass R, Brandt C, Andre`s E, “Analysis of respiratory sounds: State of the art”, Clin Med Circ Respirat Pulm Med 2008; Volume 2, 45–58.
  45. Abushakra A, Faezipour M., “Acoustic signal classification of breathing movements to virtually aid breath regulation”, IEEE J Biomed Health Inform, 2013; Volume 17:493–500.
  46. Abushakra A, Faezipour M., “Estimating lung capacity from acoustic signal of respiration:, IEEE EMBS Conference on Micro and Nanotechnology in Medicine. IEEE, Ka’anapali, HI, USA (IEEE MNM’12). 2012;19.
  47. Voorhees E, Alam T, Bedrick S, Demner-Fushman D, Hersh WR, Lo K, Roberts K, Soboroff I, Wang LL, “TREC-COVID: constructing a pandemic information retrieval test collection”, 2020. arXiv:2005.04474.

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