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J Infect Dis. 2016 Dec 1;214(suppl_4):S409-S413. doi: 10.1093/infdis/jiw344.

Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference.

Author information

1
Department of Biology.
2
Leidos, Washington D.C.
3
Department of Health Systems Administration, Georgetown University.
4
Department of Public Health Sciences, Medical University of South Carolina, Charleston.
5
Fogarty International Center, National Institutes of Health, Bethesda, Maryland.

Abstract

Spatial big data have the velocity, volume, and variety of big data sources and contain additional geographic information. Digital data sources, such as medical claims, mobile phone call data records, and geographically tagged tweets, have entered infectious diseases 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 disease-mitigation strategies and public health coordination. 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 communication, and public health policy recommendations and coordination across scales.

KEYWORDS:

digital epidemiology; disease mapping; infectious diseases; spatial big data; spatial epidemiology; statistical bias

PMID:
28830109
PMCID:
PMC5144899
DOI:
10.1093/infdis/jiw344
[Indexed for MEDLINE]
Free PMC Article

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