Relevance . The article provides an analysis of the infectious mor-bidity in the Russian Federation of humans, domestic animals and birds for 2016-2019. The aim of the study is to compare the epizootological and epidemiological situation and to establish a correlation between individual types of zoonoses, anthro-ponoses and zoonoses with anthroponoses. Materials and Methods . The study was carried out by processing statistical data obtained from open sources of Rosstat and the Federal State University of the Russian Academy of Sciences of the IAC of the Department of Veterinary Supervision of Vladimir. Collected data were processed using Excel and STATISTICA-10 programs. Results and Discussion . A sample of infectious diseases (IB) was formed, which, during the specified period, infected peo-ple, pets, incl. cattle and small ruminants, pigs, horses and poultry. The average per-centage of patients with a specific type of infectious diseases was calculated, taking into account the differentiation by zoonoses, anthroponoses and the average percent-age of sick animals for all identified types of IB, which made it possible to establish IB, which are most common in each of the groups, and in general in all animals and birds. The assessment of the distribution of information security in differentiated groups has been carried out, distribution graphs have been constructed and formulas have been established by which it is possible to predict the dynamics of their further development. The STATISTICA-10 software was used to calculate the correlation coefficients ( r ) between zoonoses (XX), anthroponoses (YY), as well as zoonoses and anthroponoses (XY). Conclusion . Stably significant positive correlations were determined for zoonoses and anthroponoses. The data obtained prove the existence of a close connection of a person with the environment and his responsibility for the health of animals and birds, in order to prevent the risk of infectious diseases.
A joint infection control system is needed in mental health institutions during outbreaks of major respiratory infectious diseases
