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- IRMS - Nicolae Testemitanu SUMPh
- 1. COLECȚIA INSTITUȚIONALĂ
- Revista de Științe ale Sănătății din Moldova
- Revista de Științe ale Sănătății din Moldova : Moldovan Journal of Health Sciences 2024 Vol. 11, Issue 4
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
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