This paper is in the following e-collection/theme issue:

Big Data (245) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Medical Informatics and COVID-19 (107) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (113) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) eHealth Infrastructures (357)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35073, first published .
Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Authors of this article:

Timothy Haithcoat1 Author Orcid Image ;   Danlu Liu1 Author Orcid Image ;   Tiffany Young1 Author Orcid Image ;   Chi-Ren Shyu1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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  1. King-Meadows T, Agarwal V. Mapping the spatial interdependence of adverse health outcomes and neighborhood socioeconomic conditions in Baltimore. Journal of Maps 2024;20(1) View

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  1. Monlezun D. The Thinking Healthcare System. View