Mind the scales: Harnessing spatial big data for infectious disease   surveillance and inference
  Spatial big data have the "velocity," "volume," and "variety" of big data sources and additional geographic information about the record. Digital data sources, such as medical claims, mobile phone call data records, and geo-tagged tweets, have entered infectious disease epidemiology as novel sources of data to complement traditional infectious disease surveillance. In this work, we provide examples of how spatial big data have been used thus far in epidemiological analyses and describe opportunities for these sources to improve public health coordination and disease mitigation strategies. In addition, we consider the technical, practical, and ethical challenges with the use of spatial big data in infectious disease surveillance and inference. Finally, we discuss the implications of the rising use of spatial big data in epidemiology to health risk communications, across-scale public health coordination, and public health policy recommendation. 
Elizabeth C. Lee, Jason M. Asher, Sandra Goldlust, John D. Kraemer,   Andrew B. Lawson, and Shweta Bansal
q-bio.PE physics.soc-ph stat.AP