AI for Epidemiology: Using AI to Predict and Track the Spread of Diseases like COVID-19

Author(s)	Gaurav Kashyap
Country	United States
Abstract	The global pandemic of COVID-19 has underscored the urgent need for advanced technologies to predict, track, and control the spread of infectious diseases. Artificial Intelligence (AI), with its ability to analyze vast amounts of data quickly and with high precision, has emerged as a powerful tool in the field of epidemiology. AI models, including machine learning (ML) and deep learning (DL), are being utilized to predict disease outbreaks, track transmission patterns, and optimize responses in real-time. This paper reviews the role of AI in epidemiology, focusing on its application in COVID-19 prediction, surveillance, and control. We also discuss the challenges of AI adoption in public health and propose future directions for AI in epidemiology.
Keywords	AI, Epidemiology, COVID-19, Disease prediction, Surveillance, Machine learning, Public health
Field	Komputer > Data/Informasi
Published In	Volume 3, Issue 6, November-December 2021
Published On	2021-11-04
DOI	https://doi.org/10.36948/ijfmr.2021.v03i06.22359
Short DOI	https://doi.org/g82h69

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research