International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
April-June 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-Powered Surveillance Systems for Public Health Safety during Global Pandemics

Author(s) Ravikanth Konda
Country United States
Abstract The advent of global pandemics, particularly the COVID-19 pandemic, has highlighted the imperative need to utilize technological innovations for monitoring public health and responding to emergencies. Of these innovations, artificial intelligence (AI)-driven surveillance systems have been pivotal in identifying, tracing, and curbing the transmission of infectious diseases. Through the use of machine learning, computer vision, and data analytics, these systems have facilitated real-time public space monitoring, contactless temperature scanning, social distancing enforcement automation, and contact tracing. This paper discusses the contribution of AI-powered video surveillance technologies to improving public health safety during pandemics. It assesses current systems, analyzes the efficiency of various AI models in public health contexts, and deals with ethical and privacy issues related to mass surveillance. Through a comprehensive literature review, methodological framework, and outcomes analysis of several case studies and datasets, this work adds insight into the revolutionary effect of intelligent surveillance on worldwide pandemic management. The paper concludes by suggesting future research directions and policy recommendations for constructing resilient, health-focused AI surveillance infrastructures in urban settings.
Field Engineering
Published In Volume 12, Issue 1, January-March 2021
Published On 2021-01-07
DOI https://doi.org/10.71097/IJSAT.v12.i1.4684
Short DOI https://doi.org/g9hjdq
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
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 Message on WhatsApp +91-9687-182-185 editor@ijsat.org