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Математико-картографическое моделирование и прогнозирование рака желудочно-кишечного тракта на территориальном уровне

Математико-картографическое моделирование и прогнозирование рака желудочно-кишечного тракта на территориальном уровне

Abstract

В статье рассмотрены результаты математикокартографического моделирования, позволившие установить, что неблагополучными территориями по заболеваемости раком желудка являются Краснояружский, Ракитянский, Крас-ненский районы и г. Ивня, три из которых относятся к соседним. По частоте рака ободочной кишки неблагополучными районами следует считать Краснояружский, Ивнянский, Ро-веньский районы и г. Белгород. При прогнозировании рака органов желудочно-кишечного тракта в двух неблагополучных территориях (Краснояружский, Ивнянский районы) будет происходить дальнейший рост данных нозологий.

Keywords

ОНКОЛОГИЯ,РАК ОРГАНОВ ЖЕЛУДОЧНОКИШЕЧНОГО ТРАКТА,ЗАБОЛЕВАЕМОСТЬ РАКОМ ЖЕЛУДОЧНОКИШЕЧНОГО ТРАКТА,МАТЕМАТИКО-КАРТОГРАФИЧЕСКОЕ МОДЕЛИРОВАНИЕ,ПРОГНОЗИРОВАНИЕ РАКА

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average