Geographical information systems (GIS) in epizootological monitoring of dog Leishmaniasis in farms of Armenia

Abstract

In the period from 2022 to 2024, work was carried out to study the frequency of leishmaniasis invasion in the dog population of farms in the Shirak, Armavir, Ararat and Syunik marzes (regions) of Armenia. The Quantum GIS (QGIS) program was used to visualize the spread of leishmaniasis data. It was found that in the period from 2022 to 2024, leishmaniasis in the dog population was more often recorded in animals in the farms of the Shirak marz (region), the EI was 97.6% and 57%, respectively. The EI of leishmaniasis in the dog population of farms in the Armavir marz (region) was 92.1% and 30.3%. The EI of leishmaniasis in the dog population of farms in the Ararat marz (region) was 82.1% and 36.6%. The EI of leishmaniasis in the population of dogs of farms of Syunik marz (region) was -65.2% and 52%. Geoinformation systems help specialists of veterinary and sanitary services to systematize and visualize, in the form of digital maps, the spatial data obtained during the work, which makes it possible to develop and improve veterinary and preventive measures to combat leishmaniasis in order to improve the epizootic situation in the region.