An early warning system for Crimean-Congo haemorrhagic fever seasonality in Turkey based on remote sensing technology.

  title={An early warning system for Crimean-Congo haemorrhagic fever seasonality in Turkey based on remote sensing technology.},
  author={Agust{\'i}n Estrada-Pe{\~n}a and Zati Vatansever and Aysen Gargili and Turan Buzgan},
  journal={Geospatial health},
  volume={2 1},
In the last few years, Crimean-Congo haemorrhagic fever (CCHF) has been reported as an emerging tickborne disease in Turkey. This paper deals with the preparation of an early warning system, aimed to predict the beginning of the CCHF season in Turkey based on a clear, simple and repeatable remotely-sensed signal. Decadal (mean of 10 days) values of the normalized difference vegetation index (NDVI) at 1 km resolution were used on a set of 952 confirmed, accurately geo-referenced, clinical cases… CONTINUE READING

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