Home|Journals|Articles by Year|Audio Abstracts RSS - TOC

Research Article

Organization of Work on the Prevention of Common Colds and Infectious Diseases with the Involvement of ICT

*Albina M. Batyrbekova, Aleksandr A. Piskunov, Amir R. Mutalibov, Zagra M. Abdulaeva, Aisa V.Nigdyrova, Leisan R. Ramazanova.


The article discusses the features of the organization of work on the prevention of colds and infectious diseases with
the involvement of ICT. The author notes that due to the recent massive spread of coronavirus infection, specialists
considered it necessary to turn to the potential of information technologies for the purpose of prevention, as well as
providing timely necessary assistance to patients. The Internet of Things (IoT) is one of the most effective paradigms in
an intelligent world in which artificial intelligence (AI) technologies, such as cloud computing and big data analysis, play
a vital role, for example, in preventing the spread of a virus, the COVID-19 pandemic.
Artificial intelligence and 5G technologies are developing by leaps and bounds, further strengthening the intellectual
capabilities and connectivity of IoT applications, and traditional IoT is gradually being upgraded to become more powerful
AI + IoT (AIoT). Their use is optimal, for example, from the point of view of remote screening and diagnosis of patients
with COVID-19.
Artificial intelligence technologies based on machine learning and deep learning have recently significantly upgraded
medical equipment and changed the workflow with minimal contact with patients, so medical professionals can make
clinical decisions more effectively, providing the best protection not only for patients, but also for specialists themselves

Key words: Colds, Coronavirus, Information technology. infectious diseases, Pandemic, Prevention

Full-text options

Share this Article

Online Article Submission
• ejmanager.com
• ojshosting.net

Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.