Big Data Joins the Fight:  Revealing Hidden Patterns of Future Outbreaks like COVID-19

Author(s)	Mr. PHANINDRA SAI BOYAPATI
Country	United States
Abstract	As the COVID-19 pandemic swept across the globe, it exposed vulnerabilities in our ability to predict and manage infectious disease outbreaks. Big data has emerged as a critical asset in addressing these gaps, offering a multidimensional view that encompasses not only the spread of pathogens but their profound impact on communities. This white paper explores how big data, enriched with a human-centric approach, can transform our understanding and response to future outbreaks. We delve into the methods, challenges, and real-world applications, illustrating how data can tell stories that guide us through potential health crises.
Keywords	COVID-19, big data, disease outbreaks, epidemiology, predictive modeling, real-time data, data integration, privacy, ethical considerations, interdisciplinary collaboration, public health, outbreak management, case studies, global health, surveillance systems, public engagement, misinformation, geo-spatial analysis, machine learning, artificial intelligence, behavioral data, sentiment analysis, simulation modeling, resource allocation, infrastructure limitations, pathogen evolution, personalized health monitoring.
Field	Computer Applications
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42206
Short DOI	https://doi.org/g9gp3b

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International Journal For Multidisciplinary Research