Conclusion
Our study presents a first ever attempt of assessing the risks of Peste
des petits ruminants spread in the Republic of Kazakhstan based on some
most general socio-economic and landscape indicators. The analysis
entirely performed within ArcGIS software environment demonstrated a
higher vulnerability of Kazakhstan districts along south-eastern and
northern borders to the PPR spread in case of its introduction that
corresponds to logical expectations based on the higher small ruminants’
density and denser socio-economic links. The study also introduces the
newly created national wise database on small ruminants’ population
distribution that may be further used