Abstract
AIM: The submitted article attempts to highlight and specify the development of Schmallenberg virus (SBV) and lumpy skin disease (LSD) in cartographic illustrations, as well as to assess the epizootic situation of these diseases in the world, especially in Russia. MATERIALS AND METHODS: Outbreaks (samples were collected from clinically healthy as well as suspected animals in infected areas) were confirmed and reported to the World Organization for Animal Health by veterinary officials representing countries in different geographical regions in the world. The reports showed that ELISA and polymerase chain reaction were used to identify SBV and LSD, taking into account number of infected, dead, and susceptible animals in infection foci since their first registration including in Russia. Once conventional statistical population (arrange data according to the main goal by regions, infected, and dead animals) was defined, a model was installed. A geo-information system, QuickMAP, was used to clarify the disease distribution map, and through the illustrations, analysis values were obtained. RESULTS: Using information clusters of some epizootological criteria in various territories has demonstrated 1.302 focus of infection of SBV, of which 63.22% were registered in Europe and 36.78% in Russia. The seroprevalence in Russia was about 7.92% of the examined animals. According to the morbidity structure, the causative agent mainly affected cattle (64.76%), small ruminants (33.68%), and goats (1.56%). A global assessment of the effectiveness of primary epizootic diagnosis by practicing veterinarians was 63.19%, i.e., of 100 suspicion reports of SBV, 63.19 cases are confirmed by laboratory methods. A detailed assessment of the types of animals affected by the disease showed that it was easily diagnosed in sheep (70.38%), cattle (60.4%), and goats (48.57%), respectively. In the wild animal species, a significant prevalence was recorded as- 54.5%. In 2016, 1.209 foci of LSD were registered in the world, with 20.548 heads of cattle affected, while 8.5% of them identified in Russia (in 2017, the figure was 7.5%). Different maps had been generated in QuickMAP. Cluster analysis of the infected livestock in different regions in Russia showed that, in 2016, the Chechen Republic, Krasnodar, and Volgograd regions were, respectively, severely, moderately, and mildly affected. In 2017, the situation changed and Saratov, Orenburg regions, and Bashkiria were severely affected. However, the number of outbreaks decreased by 84.81% by contribution to the previous year. Eritrea, Namibia, and South Africa were leading in a cluster of most infected areas in 2017. CONCLUSION: Infectious diseases do not know borders. The emergence of SBV and LSD in the territory of the Russian Federation has followed the most common general dynamics of transborder diseases without ignoring details. The epizootic risk from wild animals and favorable climatic conditions is critical to fight against transmission of these diseases in Russia.