USMF logo

Institutional Repository in Medical Sciences
of Nicolae Testemitanu State University of Medicine and Pharmacy
of the Republic of Moldova
(IRMS – Nicolae Testemitanu SUMPh)

Biblioteca Stiintifica Medicala
DSpace

University homepage  |  Library homepage

 
 
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12710/30075
Title: The use of artificial intelligence in coordinating COVID-19 prevention measures at the territorial level
Authors: Demișcan, Daniela
Lozan, Oleg
Keywords: Artificial Intelligence;COVID-19 response;pandemic management;machine learning
Issue Date: 2024
Publisher: Instituţia Publică Universitatea de Stat de Medicină şi Farmacie „Nicolae Testemiţanu” din Republica Moldova
Citation: DEMIȘCAN, Daniela; LOZAN, Oleg. The use of artificial intelligence in coordinating COVID-19 prevention measures at the territorial level. In: Revista de Ştiinţe ale Sănătăţii din Moldova = Moldovan Journal of Health Sciences. 2024, vol. 11, nr. 4, pp. 44-48. ISSN 2345-1467. DOI: https://doi.org/10.52645/MJHS.2024.4.07
Abstract: Introduction. The Coronavirus Disease 2019 (COVID-19) pandemic presented a significant challenge for global society, leaving a profound impact across the board. Although COVID-19 cases are still reported, they are no longer at previously high levels. One of the key tools in combating the pandemic was Artificial Intelligence (AI), which played a vital and advancing role throughout the pandemic. AI contributed significantly to the gradual reduction in COVID-19 cases. Effective coordination of the pandemic response, timely management, and the integration of AI into the medical system were crucial factors in achieving success. Materials and methods. A comprehensive literature review focusing on publications from 2019 to 2024 was conducted using Google Scholar, PubMed, and Science Direct. Twenty publications were selected for their relevance to AI in the COVID- 19 response, based on criteria such as accessibility, language, and publication type. Result. The review focused on the significant role of AI during the COVID-19 pandemic, highlighting its impact on public health and medical systems. In countries like the USA, China, and South Korea, AI was crucial in tracking the virus, predicting infection trends, and optimizing resource allocation. AI models helped identify outbreak hotspots and enabled targeted interventions, while natural language processing efficiently managed extensive data. Conversely, in countries such as Brazil, Mexico, India, and many African nations, AI was used less extensively due to limitations in technological infrastructure and data availability. The pandemic drove a closer integration of AI with medical services, streamlining processes and saving time. AI also enhanced laboratory efficiency and supported the development of new medications and vaccines. Despite its potential, the uneven adoption highlighted disparities in technological readiness and resource allocation during the crisis. Conclusions. The COVID-19 pandemic has once again highlighted that we live in an era of advanced technology and underscores the need for closer integration between healthcare systems and artificial intelligence. This integration allows for more effective and timely management of current and future health challenges. AI contributes to a more rapid and high-quality response to emergencies, providing innovative solutions for both existing and upcoming challenges.
metadata.dc.relation.ispartof: Revista de Ştiinţe ale Sănătăţii din Moldova = Moldovan Journal of Health Sciences
URI: https://mjhs.md/sites/default/files/2024-12/MJHS_11_4_2024.pdf
http://repository.usmf.md/handle/20.500.12710/30075
https://doi.org/10.52645/MJHS.2024.4.07
ISSN: 2345-1467
Appears in Collections:Revista de Științe ale Sănătății din Moldova : Moldovan Journal of Health Sciences 2024 Vol. 11, Issue 4

Files in This Item:
File Description SizeFormat 
MJHS_11_4_2024_Demiscan.pdf791.86 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2013  Duraspace - Feedback