Journal article
HELP: A GIS-based Health Exploratory AnaLysis Tool for Practitioners
Applied spatial analysis and policy, v 4(2), pp 113-137
01 May 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The last two decades have been characterized by a growing number of Geographical Information System (GIS) applications to the field of health science. From a decision-making and policy perspective, undeniable benefits of GIS include the assessment of health needs and delivery of services, and also the appropriate allocation of workforce and prevention resources. Despite these attractive attributes, the literature suggests that there has been limited GIS uptake among health care decision makers. This paper presents a GIS-based Health Exploratory and anaLysis tool for Practitioners (H.E.L.P.) for the analysis and visualization of space-time point events, applied to hospital patients. H.E.L.P. is viewed as a spatial decision support system which provides a set of powerful analytical tools integrating the computational capabilities of Matlab with the visualization and database functionalities of GIS. The system outputs improve the understanding of disease dynamics and provide resources for decision-makers in allocating appropriate staffing. As an example, H.E.L.P. is applied to a dataset of hospital patients in Cali, Colombia.
Metrics
Details
- Title
- HELP: A GIS-based Health Exploratory AnaLysis Tool for Practitioners
- Creators
- Eric Delmelle - University of North Carolina at CharlotteElizabeth Cahill Delmelle - University of North Carolina at CharlotteIrene Casas - Louisiana Tech UniversityThomas Barto - University of North Carolina at Charlotte
- Publication Details
- Applied spatial analysis and policy, v 4(2), pp 113-137
- Publisher
- Springer Nature
- Number of pages
- 25
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000208705600003
- Scopus ID
- 2-s2.0-79953803888
- Other Identifier
- 991021874545704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Environmental Studies
- Geography
- Regional & Urban Planning