With the amount of data in the world exploding big data could generate significant value in the field of infectious disease The increased use of social media provides an opportunity to improve public health surveillance systems and to develop predictive models Advances in machine learning and crowdsourcing may also offer the possibility to gather information about disease dynamics such as contact patterns and the impact of the social environment New rapid point of care diagnostics may make it possible to capture not only diagnostic information but also other potentially epidemiologically relevant information in real time With a wide range of data available for analysis decision making and policy making processes could be improved While there are many opportunities for big data to be used for infectious disease research operations and policy many challenges remain before it is possible to capture the full potential of big data In order to explore some of the opportunities and issues associated with the scientific policy and operational aspects of big data in relation to microbial threats and public health the National Academies of Sciences Engineering and Medicine convened a workshop in May 2016 Participants discussed a range of topics including preventing detecting and responding to infectious disease threats using big data and related analytics varieties of data including demographic geospatial behavioral syndromic and laboratory and their broader applications means to improve their collection processing utility and validation and approaches that can be learned from other sectors to inform big data strategies for infectious disease research operations and policy This publication summarizes the presentations and discussions from the workshop

Big Data and Analytics for Infectious Disease Research, Operations, and Policy PDF

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