4.7 Review

Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health

Journal

REMOTE SENSING
Volume 14, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/rs14132996

Keywords

big geospatial sensing data (BGSD); geospatial big data; big data; spatial data infrastructure (SDI); health; sensors; United States; China

Funding

  1. European Union's Horizon 2020 Research and Innovation programme [952377]

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This study conducted a systematic narrative review to understand the usage of big geospatial sensing data, ancillary data, and spatial data infrastructures in public health studies. The study found that geospatial big data has been inconsistently used in existing studies, with a focus on the public health field. The research also highlighted the importance of interdisciplinary collaboration to fully utilize geospatial big data in future public health studies.
Background: Often combined with other traditional and non-traditional types of data, geospatial sensing data have a crucial role in public health studies. We conducted a systematic narrative review to broaden our understanding of the usage of big geospatial sensing, ancillary data, and related spatial data infrastructures in public health studies. Methods: English-written, original research articles published during the last ten years were examined using three leading bibliographic databases (i.e., PubMed, Scopus, and Web of Science) in April 2022. Study quality was assessed by following well-established practices in the literature. Results: A total of thirty-two articles were identified through the literature search. We observed the included studies used various data-driven approaches to make better use of geospatial big data focusing on a range of health and health-related topics. We found the terms 'big' geospatial data and geospatial 'big data' have been inconsistently used in the existing geospatial sensing studies focusing on public health. We also learned that the existing research made good use of spatial data infrastructures (SDIs) for geospatial sensing data but did not fully use health SDIs for research. Conclusions: This study reiterates the importance of interdisciplinary collaboration as a prerequisite to fully taking advantage of geospatial big data for future public health studies.

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