Beyond mapping: a case for geospatial analytics in humanitarian health

The humanitarian sector is increasingly adopting geospatial data to support operations. However, the utilization of these data in the humanitarian health arena is predominantly in thematic map format, thereby limiting the full insight and utility of geospatial information. Geospatial analytics, in c...

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Bibliographic Details
Published in:Conflict and health 2019-11, Vol.13 (1), p.50-50, Article 50
Main Authors: Greenough, P. Gregg, Nelson, Erica L
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Debate
Digital mapping
Environmental toxicology
Geographic information systems
Geospatial analysis
Geospatial data
GIS
Humanitarian health
Optimization theory
Public health
Public health movements
Remote sensing
Research methods
Spatial analysis
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Summary:The humanitarian sector is increasingly adopting geospatial data to support operations. However, the utilization of these data in the humanitarian health arena is predominantly in thematic map format, thereby limiting the full insight and utility of geospatial information. Geospatial analytics, in contrast, including pattern analysis, interpolation, and predictive modeling, have tremendous potential within the field of humanitarian health. This paper explores a variety of historical and contemporary geospatial applications in the public health and humanitarian fields and argues for greater integration of geospatial analysis into humanitarian health research and programming. From remote sensing to create sampling frames, to spatial interpolation for environmental exposure analysis, and multi-objective optimization algorithms for humanitarian logistics, spatial analysis has transformed epistemological paradigms, research methods and programming landscapes across diverse disciplines. The field of humanitarian health, which is inextricably bounded by geography and resource limitations, should leverage the unique capacities of spatial methods and strategically integrate geospatial analytics into research and programming not only to fortify the academic legitimacy and professionalization of the field but also to improve operational efficiency and mitigation strategies. Keywords: Humanitarian health, Geospatial analysis, Spatial analysis, Geographic information systems, GIS
ISSN:1752-1505
1752-1505
DOI:10.1186/s13031-019-0234-9