The paper presents data of the research aimed at studying the species composition of major pathogens circulating in the region and the resistance to antibacterial drugs in pathogens of salmonella, one of the most common zoonoses. Within the period 2014–2018 the qualitative composition of microflora from biological and pathological materials from different groups of animals was studied in Dnipropetrovsk region. Own research results and the results of the regional veterinary statistical reporting were analyzed. Within the short period of five years, 237 cultures of Gram-negative bacteria were detected and studied. The dominant agent in the studied region was E. coli (56.7%) from the Enterobacteriaceae family. The second most frequent agent in the pathology was Salmonella spp. (10.5%). In total, 29 cultures of salmonella infection were isolated from six species of animals with a predominance of bird isolates. Thus, for different age groups of poultry the most common were S. Gallinarum-Pullorum (56%) and S. Enteritidis (32%). An antibiotic resistance increase in pathogenic salmonella was observed for β-lactam antibiotics (cefazolin, ceftriaxone), aminoglycosides (gentamicin, streptomycin, kanamycin), as well as for tetracycline and polymyxin. Taking into consideration the high level of resistance against norfloxacin in the region’s dominant pathogens of the Enterobacteriaceae family, we performed a forecast in MS Excel graphically and added a trend line. In the course of work it was proved that the Dnipropetrovsk region is a geographic zone with a stable high (86 ± 3.7%) allocation from different groups of animals of Gram-negative microorganisms. It was found that local dominant pathogens are representatives of the Enterobacteriaceae family (E. coli, Salmonella spp.). This data can be used as surrogate resistance markers. The epizootological patterns of animal salmonellosis are determined. It is shown the possibility of forecasting the distribution of antibiotic resistant strains in MS Excel in graphical form by adding a trend line, using quantitative information on the sensitivity of bacteria. Prospects for further research are the prevention and control of the emergence of resistance to antibiotics in veterinary medicine and agriculture in the region and in the country
Keywords: antibiotic resistance, Salmonella spp., animals, forecasts
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