INTEGRATED ASSESSMENT AND MULTISCALE MAPPING OF POPULATION INCIDENCE WITH MALIGNANT NEOPLASMS

Authors

DOI:

https://doi.org/10.17072/2079-7877-2023-3-147-160

Keywords:

cancer, integral indices, medical mapping, multiscale mapping

Abstract

This article presents a method for an integral assessment of the incidence of malignant neoplasms in populationtaking into account their localization in the human body. The method is based on multidimensional aggregation of malignant tumorincidence rates at various scale levels. For a multiscale assessment, three levels of research were selected: countries of the world,federal districts of Russia, and regions of Russia. Incidence data for the countries of the world were obtained from the World HealthOrganization’s project Global Cancer Observatory. For Russia, the initial data were taken from the yearbook Malignant Neoplasmsin Russia prepared by the P.A. Herzen Moscow Research Institute of Oncology. We compiled integral indices of the malignantneoplasms incidence for men and women as well as corresponding maps for various scale levels. This study is the first to implement,on the basis of an integrated approach, a model of epidemiological analysis of oncological morbidity at different spatial levels. The study showed that regional differentiation of the incidence index of malignant neoplasms in men and women requires differentapproaches. 

Author Biographies

Stanislav K. Belousov, Lomonosov Moscow State University

Candidate of Technical Sciences, Lead Engineer

Tamara V. Vatlina, Smolensk State University

Candidate of Geographical Sciences, Associate Professor

Vladimir S. Tikunov, Lomonosov Moscow State University

Doctor of Geographical Sciences, Professor, Head of the Laboratory

Published

2023-09-30

How to Cite

Belousov С. К., Vatlina Т. В., & Tikunov В. С. (2023). INTEGRATED ASSESSMENT AND MULTISCALE MAPPING OF POPULATION INCIDENCE WITH MALIGNANT NEOPLASMS. Geographical Bulletin, (3(66), 147–160. https://doi.org/10.17072/2079-7877-2023-3-147-160

Issue

Section

Cartogrphy and Geoinformatics