The rapid advancement of technology and the increase in the volume, variety, and velocity of data have made big data analytics an indispensable tool in various sectors, including public health. This paper explores the role of big data analytics in public health surveillance systems. Public health surveillance is crucial for identifying and monitoring the spread of diseases, assessing public health risks, and implementing effective interventions. By leveraging big data analytics, public health professionals can analyze vast amounts of data, identify patterns and trends, and detect outbreaks at an early stage. This paper discusses the benefits, challenges, and applications of big data analytics in public health surveillance, highlighting its potential to improve disease control, reduce health disparities, and optimize healthcare resource allocation. The use of big data analytics in public health surveillance also addresses the need for real-time data integration, enhanced data sharing, and improved decision-making. In conclusion, this paper argues that big data analytics is a powerful tool for transforming public health surveillance systems, enabling a more proactive, efficient, and effective approach to disease prevention and control.
Brown, J. Role of Big Data Analytics in Public Health Surveillance Systems. Journal of Medical Care Research, 2023, 5, 39. https://doi.org/10.69610/j.jmcr.20230415
AMA Style
Brown J. Role of Big Data Analytics in Public Health Surveillance Systems. Journal of Medical Care Research; 2023, 5(1):39. https://doi.org/10.69610/j.jmcr.20230415
Chicago/Turabian Style
Brown, John 2023. "Role of Big Data Analytics in Public Health Surveillance Systems" Journal of Medical Care Research 5, no.1:39. https://doi.org/10.69610/j.jmcr.20230415
APA style
Brown, J. (2023). Role of Big Data Analytics in Public Health Surveillance Systems. Journal of Medical Care Research, 5(1), 39. https://doi.org/10.69610/j.jmcr.20230415
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