The purpose of the study is to explore the epidemiological information concerning the spread of neosporosis in the Moscow region (Russian Federation) and Almaty region (Republic of Kazakhstan). The study is conducted in 2019 in the Moscow region (Russian Federation) and Almaty region (Republic of Kazakhstan). The study sample includes 800 cows (400 animals at each of the two locations), 100 at each of the 4 cattle farms in the Moscow region and 100 at each of the 4 cattle farms in the Almaty region. There were more seropositive cows on the rest of farms as compared to farm No. 1: 1.9 times more on farm No. 2 (p ≤ 0.01), 2.4 times more on farm No. 3 (p ≤ 0.001), and almost 4 times more on farm No. 4 (p ≤ 0.0001). In terms of the abortion rates, the maximum difference between the farms was 5-fold in the Moscow region (p ≤ 0.0001) and 3-fold in the Almaty region (p ≤ 0.001). Positive correlations exist between all the studied parameters (the proportion of seropositive animals, the proportion of seroprevalent animals, the abortion rate, and the stillbirth rate). The results of the study are mainly extremely valuable for the global economy, because the Republic of Kazakhstan and the Russian Federation occupy an important place in the export of meat and dairy products.

Microbiological methods for identifying the status of water in modified anthropogenic zones are the most accurate techniques that reflect the actual condition of water bodies. This work aims to perform a comparative analysis of hydrochemical and microbiological indicators in 20 small rivers of the Surgutsky and Oktyabrsky districts of Khanty-Mansi Autonomous Okrug of the Russian Federation. The research was conducted in 2018-2019 in Surgutsky and Oktyabrsky districts using water samples collected in spring, summer and autumn from 20 small rivers. The neutral and mildly alkaline values of pH were the highest in summer (7.6). Maximum ammonium ion concentrations of up to 0.5 mg per 1 dm3 were registered during spring when the snow was melting. No differences in total microbial accounts between 2018 and 2019 were noted in the Surgutsky district (p ≥ 0.05). However, there were differences between rivers. Thus, rivers No. 4, 5, and 7-10 accounted for the minimum in both years (microbial count is 101-102), while rivers No. 1-3 had 10-12 times higher microbial count (p ≤ 0.001, 103). For river No. 6, the values were 4 times higher compared with rivers No. 1-3 (p ≤ 0.01, 104) and 30-40 times higher compared with rivers No. 4, 5, and 7-10 (p ≤ 0.0001, 101-2 versus 104). The pollution in 2018-2019 can be considered constant. Rivers No. 18 and 19 in the Oktyabrsky region were the most contaminated, with microbial accounts 5 to 10 times higher than others (p ≤ 0.001, 102-5 versus 101). River No. 12, with a microbial count of 2-5 thousand per 1 ml in 2018, reached 42-45 thousand per 1 ml in 2019 (p ≤ 0.001), a value higher than in the constantly polluted rivers No. 18-19 (p ≤ 0.05 with 2019). Microflora was consistent during the two-year study. It is explained by the fact that the number of bacteria is determined by water temperature, indicators of dissolved O2 concentration, and indicators of organic compound concentration. The cluster analysis revealed 16 genera of bacteria and 3 mold fungi in the waters of 20 rivers studied. The Oktyabrsky district has the most significant number of very polluted rivers, whereas there are a lot of relatively clean rivers. The Surgutsky district is characterized by very clean rivers, along with moderately polluted rivers. Compared with the Oktyabrsky district, the rivers in the Surgutskydistrict are cleaner in microbiology because of lower anthropogenic pressure. Bacterial contamination can be reduced if the release of organic matter to waste water is lower, thereby substantially reducing the role of ammonifying bacteria in the microbiome.