• DocumentCode
    576454
  • Title

    Schistosomiasis risk assessment from space using high resolution Rapid Eye data

  • Author

    Walz, Yvonne ; Wegmann, Martin ; Dech, Stefan

  • Author_Institution
    Dept. of Remote Sensing, Univ. of Wuerzburg, Wurzburg, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7224
  • Lastpage
    7227
  • Abstract
    This study presents a risk assessment of the schistosomiasis disease transmission for a study site in eastern Burkina Faso. Environmental parameters derived from high resolution Rapid Eye data and SRTM data are weighted and integrated into a suitability index using an additive priority function. The spatial risk assessment of schistosomiasis transmission is calculated based on the snail habitat suitability, human settlement density and the distance between settlements and potential transmission areas. The risk assessment on the local scale presents a heterogeneous pattern of disease transmission risk, which could guide public health workers to hotspots of disease transmission and apply prevention and intervention measures more efficient.
  • Keywords
    diseases; health and safety; health care; remote sensing; risk management; SRTM data; additive priority function; disease transmission hotspot; disease transmission risk; eastern Burkina Faso; environmental parameter; high resolution Rapid Eye data; human settlement density; intervention measure; potential transmission area; prevention measure; public health workers; schistosomiasis disease transmission; schistosomiasis risk assessment; settlement distance; snail habitat suitability; space; spatial risk assessment; suitability index; Diseases; Humans; Indexes; Remote sensing; Risk management; Spatial resolution; Vegetation mapping; Rapid Eye; habitat suitability; human health; risk assessment; schistosomiasis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351995
  • Filename
    6351995