A Systematic Evaluation of Data Streams for Global Disease Surveillance

Alina Deshpande, Mac Brown, Lauren Castro, William B. Daniel, Eric N. Generous, Andrea Hengartner, Kristen Margevicius, Kirsten Taylor-McCabe


Living in a closely connected and highly mobile world presents many new mechanisms for rapid disease spread and in recent years, global disease surveillance has become a high priority. In addition, much like the contribution of non-traditional medicine to curing diseases, non-traditional data streams are being considered of value in disease surveillance. Los Alamos National Laboratory is determining the relevance of various data streams through the use of defined metrics and methodologies. An overview of this project will be presented, together with results of data stream evaluation.

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DOI: https://doi.org/10.5210/ojphi.v5i1.4402

Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org