Beyond mapping: a case for geospatial analytics in humanitarian health

Area of Science:

• Public Health
• Geospatial Science
• Humanitarian Aid

Background:

• The humanitarian sector increasingly uses geospatial data, but primarily in thematic map formats.
• This limits the full insight and utility of geospatial information in humanitarian health.
• Geospatial analytics present significant untapped potential for humanitarian health applications.

Purpose of the Study:

• To explore historical and contemporary geospatial applications in public health and humanitarian fields.
• To advocate for greater integration of geospatial analysis into humanitarian health research and programming.
• To highlight how spatial methods can improve operational efficiency and mitigation strategies.

Main Methods:

• Review of historical and contemporary geospatial applications.
• Exploration of techniques such as remote sensing, spatial interpolation, and optimization algorithms.
• Analysis of the transformative impact of spatial analysis across disciplines.

Main Results:

• Geospatial analytics, including pattern analysis, interpolation, and predictive modeling, have immense potential.
• Spatial analysis has already transformed research methods and programming in diverse fields.
• Examples include using remote sensing for sampling frames and spatial interpolation for exposure analysis.

Conclusions:

• Humanitarian health, constrained by geography and resources, should leverage spatial methods.
• Strategic integration of geospatial analytics can fortify academic legitimacy and professionalization.
• Enhanced use of geospatial analytics will improve operational efficiency and mitigation strategies in humanitarian health.