Forecasting of epizootic of rabies in the Chernihiv oblast on the basis of geoinformation analysis

Authors

  • M. Golik Office of the State Committee for Consumer Services in the Ripky district of Chernihiv region. , Ріпкинське районне управління Головного управління Держпродспоживслужби в Чернігівській області
  • I. Polupan State Research Institute of Laboratory Diagnostics and Veterinary and Sanitary Expertise , Державний науково-дослідний інститут лабораторної діагностики і ветеринарно-санітарної експертизи
  • V. Nedosekov National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/dopovidi2018.06.025

Keywords:

rabies, epizooty, spatial and temporal analysis, Chernihiv oblast

Abstract

Introduction. Here we report the results of monitoring the epizootic situation on rabies in Chernihiv oblast in 2017, analyze how it changed compared to the previous year. The description of the epizootic situation of rabies must base of the use of geographic information systems. It will enable to analysis of the situation, also to form assumptions / forecasts for the increase of the epizootic process and to use of specific prevention of rabies more correctly.

The goal of the work. To determine the geographical trends and changes in species structure of rabies epizootics in the territory of Chernihiv region in 2017 compared to the previous year.

Materials and methods. The data on rabies cases from the Chernihiv State Regional Laboratory of Veterinary Medicine for 2012–2017 were analyzed. Descriptive spatial statistics methods were used: standard deviational ellipses, kernel density estimation. Two tailed z-test for two proportions was used to test proportions equality of cat, dog, fox rabies cases in 2016 and 2017.

Results of research and discussion. In 2017 there were 72 rabies cases in animals in Chernihiv oblast, it is 39 cases less than in 2016. As in previous years, the incidence of rabies cases in domestic dogs and cats prevails. Compared to 2016, the main species proportions did not change significantly. The coordinates of rabies cases shifted on the average to the North and East. Kernel density estimation identified the hot spots of rabies cases in the central and eastern rayons. In the south there was no increase of incidence where in the end of 2016 the space-time cluster was detected.

Conclusions and prospects for further research. In 2017 compared to previous year the absolute number of rabies cases decreased in Chernihiv oblast. The central and western rayons show the stationarity of the rabies manifestation while new hot spots appeared in the eastern rayons. The epizooty in Chernihiv oblast is under significant anthropurgic impact as evidenced by the high proportion of disease among domestic dogs and cats.

Determination of spatial patterns and identification of rabies cases clustering can be useful for making decisions on the efficient allocation of diseases control efforts. We will continue our research with materials from other areas in order to improve the monitoring of rabies in Ukraine and to conduct more effective prevention activities.

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Published

2018-12-29

Issue

Section

Veterinary medicine, quality and safety of livestock products