Article information
2016 , Volume 21, Special issue, p.75-81
Molorodov Y.I., Chernenko V.V.
Use of Leaflet library for visualization and analysis of contamination for areas infected by tick-borne diseases
Purpose. The paper describes the architecture and function features for an information system which is working with empirical data of field observations aimed at resettlement, migration tick species Ixodes persulcatus, Ixodes pavlovskyi and Dermacentor reticulatus and infectious agents transmitted by them. The information system has user-friendly interface, which is based on interactive geographic maps with visualization of the position of field work, in the form of tokens. Factual material for the research uses data field expeditions carried out in Altai region, the Western and Eastern Siberia and Kazakhstan since 2004 to the present time. Methodology. To solve this problem, we used advanced GIS technology based on non-commercial Web mapping project OpenStreetMap and Leaflet library. Statistical analysis was performed using Google Charts library algorithms. Findings. Based on factual material for the tick gathering field expeditions in North Asia, and the results of genome-sequencing, IT architecture was developed and a pilot version of interactive information system (IS,) was created that is intended for organization of collection, storage and processing of the field work, resettlement and ticks migration as well as pathogens they carry. Navigation map was implemented by standard graphical Web-based interface, that select the area of works and visualization of statistical material, which shows the type of insects and pathogens carried by them. Conclusion. An information resource allowing experts to evaluate the molecular genetic diversity of bacteria-carriers of tick-borne encephalitis, borreliosis, ehrlichiosis and other bacteria carriers circulating on the territory of Siberia was created.
[full text] Keywords: Locus, pathogen, tick, infectious agents, infected-areas, sequencing, Rickettsia, Borrelia encephalitis
Author(s): Molorodov Yuriy Ivanovich PhD. , Senior Scientist Position: Senior Research Scientist Office: Inctitute of Computational Technologies SB RAS Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334-91-22 E-mail: yumo@ict.sbras.ru SPIN-code: 1941-0259Chernenko Vladislav Valeryevich Position: Student Office: Novosibirsk State University Address: 630090, Russia, Novosibirsk, 2, Pirogova str.
Phone Office: (383)334-91-22 E-mail: vlavlad.chernenko@gmail.com
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Bibliography link: Molorodov Y.I., Chernenko V.V. Use of Leaflet library for visualization and analysis of contamination for areas infected by tick-borne diseases // Computational technologies. 2016. V. 21. Special issue: Information technologies, systems and equipment in agroindustrial complex. P. 75-81
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