SOFTWARE PRODUCT FOR CLINICAL AND IMMUNOLOGICAL PROGNOSIS OF THE SEVERITY OF COVID-19

Authors

  • Nodir Ruzimurodov junior researcher, Institute of Immunology and human genomics of the Academy of Science of the Republic of Uzbekistan
  • Tamara Aripova Academician, director of the Institute of Immunology and human genomics of the Academy of Science of the Republic of Uzbekistan

Keywords:

COVID-19, software, “CIP-COV.exe”,, cytokines, , immunity

Abstract

One of the global problems at the moment is the Coronavirus (COVID-19). Everyone already knows all the consequences of COVID-19. In addition, determining the course of the severity of the disease is also an important factor for both the patient and the medical staff. Until now, there are various methods and standards for the treatment of COVID-19. But for determining the severity of the disease, no standard or protocol has yet been defined. To solve this problem, we studied clinical and immunological tests in 109 patients and tried to create a program to predict the severity of COVID-19 in the early stages of the disease, so that, during the treatment for the severity of the disease, we started. 

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References

Halpin SJ, McIvor C, Whyatt G, et al. Postdischarge symptoms and rehabilitation needs in survivors of COVID‐19 infection: a crosssectional evaluation [published online ahead of print July 30, 2020]. J Med Virol. 2020:1‐10. https://doi.org/10.1002/jmv.26368

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Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID‐19) outbreak in China: summary of a report of 72,314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239‐1242.

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Published

2021-12-03

How to Cite

Nodir Ruzimurodov, & Tamara Aripova. (2021). SOFTWARE PRODUCT FOR CLINICAL AND IMMUNOLOGICAL PROGNOSIS OF THE SEVERITY OF COVID-19. International Scientific and Current Research Conferences, 1(01), 91–93. Retrieved from https://orientalpublication.com/index.php/iscrc/article/view/266

Issue

PEDAGOGY AND MODERN EDUCATION: TRADITION, EXPERIENCE AND INNOVATION

Section

Articles

License

Copyright (c) 2021 Nodir Ruzimurodov, Tamara Aripova

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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