Landscape-Epidemiological Zoning of the Krasnodar Territory and the Republic of Adygea by Tularemia

Abstract

Objective of the study was epizootic-epidemiological zoning of the area of Krasnodar Territory and the Republic of Adygea by manifestations of tularemia to determine the level of epidemic hazard of each zone.Materials and methods. Utilized were archival data of the Black Sea Plague Control station over the period of 1946–2017 and plague Control Center of the Rospotrebnadzor. With the help of GIS software packages, MapINFO 10.5 and ArcGIS 10.2, the data bases containing the point-like layers of the sites of infection with tularemia (49), isolation of tularemia agent (195), and the layer of landscape-geographical regions in the Krasnodar Territory and the Republic of Adygea were created.Results and discussion. Usage of the geo-information technologies allowed for detailed consideration of tularemia manifestations in different parts of the region. The prospects of applying Arc GIS and MapINFO for geoencoding, processing and creation of geo-information pool of tularemia manifestations over a long period was shown. Vector data of landscapes and sites of epidemics and epizootic manifestations of tularemia on different species of mammals and ticks were generated. The conversion of the database to Microsoft Excel made it possible to make full use of statistical capabilities for epidemiological analysis. The work on epidemiological zoning carried out in the Krasnodar region and the Republic of Adygea starkly illustrated the feasibility of using GIS technologies for those purposes. The results of the analysis allowed for optimization of the mode of epizootiological survey in different parts of the studied region. Advisability of epizootiological inspection and monitoring of the territories with identification of geographical coordinates for epizootic manifestation sites was proved.

Checklist of hosts, illustrated geographical range, and ecology of tick species from the genus Ixodes (Acari, Ixodidae) in Russia and other post-Soviet countries

“…10 ). Russia : Samara Oblast ( Kirillova and Kirillov 2008b ), Rostov Oblast ( Stakheev and Panasyuk 2016 ), Krasnodar Krai ( Popov et al 2019 ), Stavropol Krai ( Tsapko 2019 ), Volgograd Oblast, Astrakhan Oblast ( Nelzina et al 1955 ), Kalmyk Republic ( Sandzhiev et al 2006 ), Chechnya ( Baisarova 2021 ), Dagestan ( Musaev et al 2019 ) and North Osetia-Alania ( Filippova 1977 ). Ukraine : Kyiv ( Omeri and Moysak 2013 ), Odesa Oblast ( Rusev 2008 ), Kherson Oblast, Chernivtsi Oblast, Ternopil Oblast, Luhansk Oblast, Donetsk Oblast, the Crimean Peninsula, particularly in the Syvash ( Filippova 1958a ; Emchuk 1960 ; Sklyar 1970 ; Andryushchenko et al 2005 ; Evstafiev 2017 ).…”

Development of a geoinformation atlas of the sanitary and chemical state of water sources in the arid region

“…This method of data processing allows to summarize information coming from various sources and distribute it between experts and non-expert users, as well as integrate with the Internet of "smart" things [11]. GIS technologies are used to improve epizootological monitoring, approaches to hazard assessment and provision of preventive measures against natural foci of tularemia [12], using both traditional cartography methods and geovisualization approaches [13]. Also for geoinformation analysis in epidemiology, such approaches as geocoding, distance estimation, mobility in residential premises, record binding and data integration, clustering, assessment of small territories and stochastic applications to morbidity are used [14].…”