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EPJ Data Science

, 4:17

First Online: 16 October 2015Received: 15 September 2015Accepted: 08 October 2015


Novel data streams NDS, such as web search data or social media updates, hold promise for enhancing the capabilities of public health surveillance. In this paper, we outline a conceptual framework for integrating NDS into current public health surveillance. Our approach focuses on two key questions: What are the opportunities for using NDS and what are the minimal tests of validity and utility that must be applied when using NDS? Identifying these opportunities will necessitate the involvement of public health authorities and an appreciation of the diversity of objectives and scales across agencies at different levels local, state, national, international. We present the case that clearly articulating surveillance objectives and systematically evaluating NDS and comparing the performance of NDS to existing surveillance data and alternative NDS data is critical and has not sufficiently been addressed in many applications of NDS currently in the literature.

Keywordsdisease surveillance novel data streams digital surveillance Benjamin M Althouse and Samuel V Scarpino contributed equally to this work.

Electronic Supplementary MaterialThe online version of this article doi:10.1140-epjds-s13688-015-0054-0 contains supplementary material.

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Autor: Benjamin M Althouse - Samuel V Scarpino - Lauren Ancel Meyers - John W Ayers - Marisa Bargsten - Joan Baumbach - John S

Fuente: https://link.springer.com/

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