Using spatial video and deep learning for automated mapping of ground-level context in relief camps.

Journal: International journal of health geographics
PMID: 39501276

Abstract

BACKGROUND: The creation of relief camps following a disaster, conflict or other form of externality often generates additional health problems. The density of people in a highly stressed environment with questionable safe food and water access presents the potential for infectious disease outbreaks. These camps are also not static data events but rather fluctuate in size, composition, and level and quality of service provision. While contextualized geospatial data collection and mapping are vital for understanding the nature of these camps, various challenges, including a lack of data at the required spatial or temporal granularity, as well as the issue of sustainability, can act as major impediments. Here, we present the first steps toward a deep learning-based solution for dynamic mapping using spatial video (SV).

Authors

  • Jayakrishnan Ajayakumar
    Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. jxa421@case.edu.
  • Andrew J Curtis
    Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • Felicien M Maisha
    Department of Anthropology, University of Florida, Gainesville, FL 32608.
  • Sandra Bempah
    Department of Geography, Kent State University, Kent, OH, USA.
  • Afsar Ali
    Emerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, 32601, USA.
  • Naveen Kannan
    Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • Grace Armstrong
    Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • John Glenn Morris
    Emerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, 32601, USA.

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