The Role of AI in Tackling Epidemics: Lessons from Recent Outbreaks

Zahidur Rahman Asm ()

Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930), 2024, vol. 3, issue 1, 115-125

Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in managing epidemics, offering innovative solutions to detect, predict, and mitigate the spread of infectious diseases. This paper explores the role of AI in tackling recent outbreaks, such as COVID-19, Ebola, and Zika, emphasizing its contributions to real-time data analysis, contact tracing, and outbreak prediction. Key AI applications, including machine learning models for disease forecasting, natural language processing for analyzing public health data, and AI-powered diagnostic tools, are examined. Additionally, the study discusses the challenges of implementing AI in epidemic management, such as data privacy concerns, technological infrastructure disparities, and the need for global collaboration. Lessons from these outbreaks underline the importance of integrating AI into global health systems to enhance preparedness, response, and resilience against future public health crises.

Keywords: Artificial Intelligence; Epidemics; Machine Learning; AI Applications in Healthcare; Data Analysis in Epidemics (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://japmi.org/index.php/japmi/article/view/36/23 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abu:abuabu:v:3:y:2024:i:1:p:115-125:id:36

Access Statistics for this article

More articles in Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) from Open Knowledge
Bibliographic data for series maintained by By Openjournaltheme ().