doctoral candidate from 01.01.2019 to 01.01.2022
Astana, Kazakhstan
UDC 911.9
CSCSTI 36.01
In the modern world, the spread of transboundary diseases poses a significant threat to public health, especially in regions with high migration activity and complex environmental conditions. This study employs geoinformation technologies to map transboundary diseases in Kazakhstan. Case studies include outbreaks of lumpy skin disease (2016) and camelpox (2018–2019). The study areas are located in the Atyrau and Mangystau regions of Kazakhstan and adjacent regions of Russia and Turkmenistan. Data was collected from official sources, including reports from the World Organization for Animal Health (WOAH), the Research Institute for Biological Safety Problems (RIBSP), and regional veterinary services. Additionally, news publications and social media were analyzed to identify unconfirmed cases. The results demonstrate the effectiveness of GIS technologies in epidemiological monitoring and in planning disease control measures. The findings of this study may be useful for public health authorities, research institutions, and professionals in the fields of epidemiology and geoinformatics.
cartography, GIS, epidemiology, spatial analysis, transboundary diseases, Kazakhstan, geomonitoring
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