GEOGRAPHICAL DISTRIBUTION OF SOCIALLY SIGNIFICANT AND ECOLOGY DEPENDENT MORBIDITY OF THE POPULATION OF THE UNTSUKUL DISTRICT

Abstract. Aim. The aim of the study is to establish the regularities of the geographical distribution of the ecologically dependent and socially significant morbidity in the settlements of the Untsukulsky district of the Republic of Dagestan. Material and methods. In order to achieve this goal, we created a database on socially significant and ecologically dependent diseases of the population of the Untsukulsky district of the Republic of Dagestan. The statistical processing of the results was carried out using STATISTICA and Excel application packages. Results. The largest long-term intensive tuberculosis incidence rates are observed in the villages of Kolob, and Irganay; incidence of vision loss is detected in the villages of Untsukul, Kahabroso, Tsatanih, Arakani; oncological morbidity in the villages of Arakani, Tsatanih; child morbidity in the villages of Shamilkala, Untsukul; morbidity of the cardiovascular system in the villages of Untsukul; incidence of the endocrine system in the villages of Kahabroso, Untsukul. The smallest average long-term intensive rates of tuberculosis incidence are registered in the villages of Gimry, Ashilltah, and Tsatanih; incidence of vision loss in the villages of Kolob, Maydansky; oncological morbidity in the villages of Balakhani, Ashilltah, Maydansky; child morbidity in the villages of Tsatanih, Irganay; morbidity of the cardiovascular system in the villages of Tsatanih, Irganay; incidence of the endocrine system in the villages of Balakhani and Tsatanih. Conclusion. One of the primary indicators of the ecological well-being of the territory is human health. The revealed peculiarities of the morbidity of the population of the Untsukulsky district of the Republic of Dagestan indicate unfavorable trends in the state of health. The results of this study may be the basis for understanding the causes of diseases and environmental factors that affect their growth.

ecology-dependent morbidity, malignant neoplasms, tuberculosis, infant morbidity, cardiovascular system, endocrine system, monitoring

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