Modeling of a procedure for unmasking the foxes during activities on the elimination of biosafety threats related to rabies
DOI:
https://doi.org/10.15587/1729-4061.2017.109868Keywords:
dynamical systems, remote detection of animals, identification of models, colorometric parameters, rabiesAbstract
The study presents results of mathematical modeling of protective coloration of foxes in order to discover on the ground the animals, which are potential reservoirs of rabies. For simulation, discrete dynamical model, dynamics of which is determined by relationships between components, was used. This type of models was previously used for formalized description of the structure of relationships of components and dynamics of various biological systems.
The authors constructed the idealized trajectory of the system of plant community in habitat of foxes and idealized pseudo trajectory of the system, reflecting distribution of various combinations of colorometric parameters of protective coloration of these animals. The trajectories of these systems were constructed using rechronization technique. This technique implies that various sections of the image of a system change their colorometric parameters within one cycle, but are in different phases of this cycle.
As a result of comparison of obtained idealized trajectories, feature space that allow us to distinguish between the image of protective coloration of foxes and the image of plant communities, was determined. This is a two-dimensional feature space, coordinates of which are systemic colorometric parameters of the RGB model of the image.
Unmasking of the brood of young foxes against grassy background with the use of the proposed technique made it possible to determine location of the animals in the image, sharpness and contrast range of which were deliberately artificially degraded.
Improvement of methods of animal unmasking on terrain by digital photos allows us to enhance effectiveness of measures on elimination of biosafety hazards, caused by rabies of wild animalsReferences
- WHO Expert Consultation on Rabies. Second report (2013). WHO Technical Report Series, No. 982, 139.
- Vos, A., Freuling, C., Eskiizmirliler, S., Ün, H., Aylan, O., Johnson, N. et. al. (2009). Rabies in Foxes, Aegean Region, Turkey. Emerging Infectious Diseases, 15 (10), 1620–1622. doi: 10.3201/eid1510.090203
- Leyequien, E., Verrelst, J., Slot, M., Schaepman-Strub, G., Heitkönig, I. M. A., Skidmore, A. (2007). Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity. International Journal of Applied Earth Observation and Geoinformation, 9 (1), 1–20. doi: 10.1016/j.jag.2006.08.002
- Cilulko, J., Janiszewski, P., Bogdaszewski, M., Szczygielska, E. (2012). Infrared thermal imaging in studies of wild animals. European Journal of Wildlife Research, 59 (1), 17–23. doi: 10.1007/s10344-012-0688-1
- Doncaster, C. P., Macdonald, D. W. (1997). Activity patterns and interactions of red foxes (Vulpes vulpes) in Oxford city. Journal of Zoology, 241 (1), 73–87. doi: 10.1111/j.1469-7998.1997.tb05500.x
- Asano, K. M., Achkar, S. M., Fahl, W. O., Garcia, A. I., Iamamoto, K., Mori, E., Scheffer, K. C. (2014). Hematophagous bats as reservoirs of rabies. Revista peruana de medicina experimental y salud pública, 31 (2), 302–309.
- De Andrade, F. A. G., Gomes, M. N., Uieda, W., Begot, A. L., Ramos, O. de S., Fernandes, M. E. B. (2016). Geographical Analysis for Detecting High-Risk Areas for Bovine/Human Rabies Transmitted by the Common Hematophagous Bat in the Amazon Region, Brazil. PLOS ONE, 11 (7), e0157332. doi: 10.1371/journal.pone.0157332
- Vuta, V., Picard-Meyer, E., Robardet, E., Barboi, G., Motiu, R., Barbuceanu, F. et. al. (2016). Vaccine-induced rabies case in a cow (Bos taurus): Molecular characterisation of vaccine strain in brain tissue. Vaccine, 34 (41), 5021–5025. doi: 10.1016/j.vaccine.2016.08.013
- Kaare, M., Lembo, T., Hampson, K., Ernest, E., Estes, A., Mentzel, C., Cleaveland, S. (2009). Rabies control in rural Africa: Evaluating strategies for effective domestic dog vaccination. Vaccine, 27 (1), 152–160. doi: 10.1016/j.vaccine.2008.09.054
- Traoré, A., Picard-Meyer, E., Mauti, S., Biarnais, M., Balmer, O., Samaké, K. et. al. (2016). Molecular Characterization of Canine Rabies Virus, Mali, 2006–2013. Emerging Infectious Diseases, 22 (5), 866–870. doi: 10.3201/eid2205.150470
- Janko, C., Linke, S., Romig, T., Thoma, D., Schröder, W., König, A. (2011). Infection pressure of human alveolar echinococcosis due to village and small town foxes (Vuples vulpes) living in close proximity to residents. European Journal of Wildlife Research, 57 (5), 1033–1042. doi: 10.1007/s10344-011-0515-0
- Lembo, T., Hampson, K., Haydon, D. T., Craft, M., Dobson, A., Dushoff, J. et. al. (2008). Exploring reservoir dynamics: a case study of rabies in the Serengeti ecosystem. Journal of Applied Ecology, 45 (4), 1246–1257. doi: 10.1111/j.1365-2664.2008.01468.x
- Akay, A. E., Inac, S., Yildirim, I. C. (2010). Monitoring the local distribution of striped hyenas (Hyaena hyaena L.) in the Eastern Mediterranean Region of Turkey (Hatay) by using GIS and remote sensing technologies. Environmental Monitoring and Assessment, 181 (1-4), 445–455. doi: 10.1007/s10661-010-1840-6
- Pettorelli, N., Laurance, W. F., O’Brien, T. G., Wegmann, M., Nagendra, H., Turner, W. (2014). Satellite remote sensing for applied ecologists: opportunities and challenges. Journal of Applied Ecology, 51 (4), 839–848. doi: 10.1111/1365-2664.12261
- Sharma, R. N. K., Sinha, A. K., Nathawat, M. S., Pandey, A. K. (2009). Establishing a corridor for the elephants of Jharkhand using Remote Sensing and GIS. Geospatial World. Available at: https://www.geospatialworld.net/article/establishing-a-corridor-for-the-elephants-of-jharkhand-india-using-remote-sensing-and-gis/
- Abdrakhmanov, S. K., Beisembayev, K. K., Кorennoy, F. I., Yessembekova, G. N., Kushubaev, D. B., Kadyrov, A. S. (2016). Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010–2013. Geospatial Health, 11 (2). doi: 10.4081/gh.2016.455
- Gillespie, T. W. (2001). Remote sensing of animals. Progress in Physical Geography, 25 (3), 355–362. doi: 10.1177/030913330102500303
- Lawley, V., Lewis, M., Clarke, K., Ostendorf, B. (2016). Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review. Ecological Indicators, 60, 1273–1283. doi: 10.1016/j.ecolind.2015.03.021
- Osborne, P. E., Leitão, P. J., Moreira, F. (2008). Using Multi-Scale Remote Sensing to Study Habitat Selection by Cereal Steppe Birds in Portugal. NERC Geophysical Equipment Facility, 8.
- Zholtkevych, G. N., Bespalov, Y. G., Nosov, K. V., Visotskaya, E. V., Pecherskaya, A. I. (2012). Discrete models of dynamical systems of relationships between spectral characteristics of grass for remote sensing of effects disclosing locust crowds. Ural'skiy nauchniy vestnik, 1, 24–27.
- Zholtkevych, G. N., Bespalov, G. Y., Nosov, K. V., Abhishek, M. (2013). Discrete Modeling of Dynamics of Zooplankton Community at the Different Stages of an Antropogeneous Eutrophication. Acta Biotheoretica, 61 (4), 449–465. doi: 10.1007/s10441-013-9184-6
- Zholtkevych, G. N., Nosov, K. V., Bespalov, Yu. G. et. al. (2016). Descriptive models of system dynamics. 12th International Conference on ICT in Education, Research and Industrial Applications, ICTERI 2016. Kyiv, 57–72.
- Bespalov, Y., Gorodnyanskiy, I., Zholtkevych, G., Zaretskaya, I. et. al. (2011). Discrete Dynamical Modeling of System Characteristics of a Turtle’s Walk in Ordinary Situations and After Slight Stress. Bionika Intellekta, 3 (77), 54–59.
- Singh, R., Ranjan, K. (2015). Satellite Imaging and Surveillance of Infectious Diseases. Journal of Tropical Diseases, s1. doi: 10.4172/2329-891x.1000s1-004
- Vуsotska, O., Dobrorodnia, G., Gordiyenko, N., Klymenko, V., Chovpan, G., Georgiyants, M. (2016). Studying the mechanisms of formation and development of overweight and obesity for diagnostic information system of obesity. Eastern-European Journal of Enterprise Technologies, 6 (2 (84)), 15–23. doi: 10.15587/1729-4061.2016.85390
- Georgiyants, M., Khvysyuk, O., Boguslavskaуa, N., Vysotska, O., Pecherska, A. (2017). Development of a mathematical model for predicting postoperative pain among patients with limb injuries. Eastern-European Journal of Enterprise Technologies, 2 (4 (86)), 4–9. doi: 10.15587/1729-4061.2017.95157
- Rysovana, L., Vуsotska, O., Falyova, H., Georgiyants, M., Klymenko, V. (2017). Factor analysis of crisis emergence in family relations, contributing to the development of dyscirculatory encephalopathy. Eastern-European Journal of Enterprise Technologies, 1 (4 (85)), 40–49. doi: 10.15587/1729-4061.2017.91428
- Yakubovska, S., Vуsotska, O., Porvan, A., Yelchaninov, D., Linnyk, E. (2016). Developing a method for prediction of relapsing myocardial infarction based on interpolation diagnostic polynomial. Eastern-European Journal of Enterprise Technologies, 5 (9 (83)), 41–49. doi: 10.15587/1729-4061.2016.81004
- Vysockaya, E. V., Porvan, A. P., Bespalov, Yu. G., Nosov, K. V., Klimenko, V. A., A. A. Trubicyn, A. A. (2014). Predicting the course of atopic dermatitis in children using discrete simulation of dynamic systems. Eastern-European Journal of Enterprise Technologies, 3 (4 (69)), 21–25. doi: 10.15587/1729-4061.2014.24878
- Bespalov, Y., Nosov, K., Kabalyants, P. (2017). Discrete dynamical model of mechanisms determining the relations of biodiversity and stability at different levels of organization of living matter. bioRxiv. doi: 10.1101/161687
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Olena Vуsotska, Yuriі Balym, Marine Georgiyants, Anna Pecherska, Kostiantyn Nosov, Yurii Bespalov
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.