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