Aim: The article provides the analysis of statistical data on oncological diseases in St. Petersburg. Methods: The main attention was paid to the statistical analysis of tumor diseases and the methods of their diagnosis and treatment. Results: The main specializations have been identified, and the number of their patients is constantly increasing. The rate of patient number growth, the age structure of morbidity and mortality are estimated, and the most widespread diseases for men and women are revealed. Conclusion: The assessment of bed capacity at various medical institutions of the city is provided. A multilevel system of cancer patient accounting and care is described.

Original languageEnglish
Pages (from-to)510-516
Number of pages7
JournalDrug Invention Today
Volume11
Issue number3
StatePublished - 1 Jan 2019

    Research areas

  • Cancer care, Mathematical modeling, Mortality, Simulation, Statistics, Tumor

    Scopus subject areas

  • Drug Discovery

ID: 47656212