Gis-based risk monitoring of zoonotic cestodiasis in human.

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Russian Journal of Parasitology, 2016, V.38, Iss.4
DOI: …………………
Received: 14.04.2016
Accepted: 14.09.2016



GIS-BASED RISK MONITORING OF ZOONOTIC CESTODIASIS IN HUMAN

Belimenko V.V.1, Samoylovskaya N.A.2, Novosad E.V.3, Christianovsky P.I.4
1All-Russian Research Institute for Experimental Veterinary Medicine named after Y.R. Kovalenko, 109428, Moscow, Ryazansky pr., 24-1, Russia, е-mail: vlad_belimenko@mail.ru

2All-Russian Scientific Research Institute of Fundamental and Applied Parasitology of Animals and Plants named after K.I. Skryabin, 117218, Moscow, 28 B. Cheremushkinskaya St., Russia, e-mail: samoylovskaya@vniigis.ru

3The Russian National Research Medical University named after N.I. Pirogov, 117997, Moscow, 1 Ostrovityanov St., Russia, e-mail: novyi@yandex.ru

4Orenburg State Agrarian University, 460014, Orenburg, 18 Сhelyuskintsev St., Russia, e-mail: christianovsky@bk.ru

 

Abstract

Objective of research: The target of the paper is to develop a model of GIS-based risk monitoring of zoonotic cestodiasis in human.

Materials and methods:  The use of geographic information systems (GIS) as an epizootiological and epidemiological method for the risk-based monitoring of human cestodiasis enables the development of a multi-level platform for solution of a wide range of tasks related to the control of this disease. The modern GIS tools use the methods of geoinformatics applying powerful software and hardware: open access geographic web servers, tools for multidimensional complex analysis, creating most accurate electronic and paper maps. Full-featured GIS contain a full set for processing geospatial data including acquisition of data, its integration and storage, automatic data processing, editing, creation and maintenance of topology, spatial analysis, access to the database management system (DBMS), visualization and creation of hard copies of any cartographic data. 

Results and discussion: The use of GIS enables to study more closely the regularities of epizootic process, geography of human cestodiasis and to improve the methodology both for short-term and long-term retrospective epizootiological analyses.

Keywords: geographic information systems (GIS), risk-based monitoring, the OIE List, hydatid disease, hydatidosis, cysticercosis, taeniasis, beef tapeworm infection.

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© 2016 The Author(s). Published by All-Russian Scientific Research Institute of Fundamental and Applied Parasitology of Animals and Plants named after K.I. Skryabin. This is an open access article under the Agreement of 02.07.2014 (Russian Science Citation Index (RSCI)http://elibrary.ru/projects/citation/cit_index.asp) and the Agreement of 12.06.2014 (CA-BI.org/Human Sciences section: http://www.cabi.org/Uploads/CABI/publishing/fulltext-products/cabi-fulltext-material-from-journals-b...)