Abstract
Several research and review articles have addressed the potential of big data in public health surveillance. The advances in big data revolution will enormously improve the quality and timeliness of health-related information availability, and provide better prospects for veracious data integration, aggregation, analysis, and visualization of heterogeneous data sources for public health surveillance. However, opportunities also come with numerous challenges in terms of technology, ethics, and strategies. This paper discusses the opportunities and challenges for big data, which integrates data from multiple sources for public health surveillance in Vietnam.
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Bui, L., Ha, T.S., Nguyen, N.H., Sukhbaatar, K., Bui, M.H. (2021). Big Data for Public Health Surveillance in Vietnam: Challenges and Opportunities. In: Kreinovich, V., Hoang Phuong, N. (eds) Soft Computing for Biomedical Applications and Related Topics. Studies in Computational Intelligence, vol 899. Springer, Cham. https://doi.org/10.1007/978-3-030-49536-7_17
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DOI: https://doi.org/10.1007/978-3-030-49536-7_17
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