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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Medicine</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Medicine</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Медицина</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-0245</issn><issn publication-format="electronic">2313-0261</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">39716</article-id><article-id pub-id-type="doi">10.22363/2313-0245-2024-28-2-216-229</article-id><article-id pub-id-type="edn">ZYFJZX</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>SOCIAL HEALTH AND HEALTH PROTECTION</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ОРГАНИЗАЦИЯ ЗДРАВООХРАНЕНИЯ И ОБЩЕСТВЕННОЕ ЗДОРОВЬЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Cartograms in oncology: analysis of the regional situation</article-title><trans-title-group xml:lang="ru"><trans-title>Картограммы в онкологии: анализ региональной ситуации</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2971-5873</contrib-id><name-alternatives><name xml:lang="en"><surname>Samsonov</surname><given-names>Yuri V.</given-names></name><name xml:lang="ru"><surname>Самсонов</surname><given-names>Ю. В.</given-names></name></name-alternatives><email>samsonovu@list.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0792-6012</contrib-id><contrib-id contrib-id-type="spin">8073-0899</contrib-id><name-alternatives><name xml:lang="en"><surname>Kostin</surname><given-names>Andrey A.</given-names></name><name xml:lang="ru"><surname>Костин</surname><given-names>А. А.</given-names></name></name-alternatives><email>samsonovu@list.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">National Medical Research Radiological Centre</institution></aff><aff><institution xml:lang="ru">Национальный медицинский исследовательский центр радиологии</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">RUDN University</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-06-29" publication-format="electronic"><day>29</day><month>06</month><year>2024</year></pub-date><volume>28</volume><issue>2</issue><issue-title xml:lang="en">CARDIOLOGY</issue-title><issue-title xml:lang="ru">КАРДИОЛОГИЯ</issue-title><fpage>216</fpage><lpage>229</lpage><history><date date-type="received" iso-8601-date="2024-06-29"><day>29</day><month>06</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Samsonov Y.V., Kostin A.A.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Самсонов Ю.В., Костин А.А.</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Samsonov Y.V., Kostin A.A.</copyright-holder><copyright-holder xml:lang="ru">Самсонов Ю.В., Костин А.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/medicine/article/view/39716">https://journals.rudn.ru/medicine/article/view/39716</self-uri><abstract xml:lang="en"><p style="text-align: justify;"><italic>Relevance. </italic>Over the past few years, there has been a worldwide trend towards an increase in cancer morbidity and mortality. Health officials and epidemiology researchers often use disease maps to identify potential disease groups. Cartograms are cartographic images of various territories that contain information not about the area of the occupied territory, but about a variable of interest to the reader, for example, the population or a specific disease. This tool has been used for data visualization for more than a century, but right now it is becoming increasingly popular to display patterns and directions of changes in the world around us. The introduction of cartograms into the healthcare sector is gradual, depending on the results obtained in the development of various types of cartograms. It is difficult to fully assess the importance of collecting and analyzing information about the course of cancer. However, with the improvement of this system, good results can be achieved in preventing the occurrence of oncological diseases and increasing the level of cancer care provided. The purpose of this study is to analyze existing information about cartograms used in oncology. This publication discusses issues related to the need to use cartograms in oncoepidemiology, the causes of oncology, the advantages of using cartograms to consider a variety of diseases from simply infectious to HIV and technical issues related to geographical visualization, related problems and ways to solve them. Cartograms are a tool that clearly demonstrates the changes taking place in a small area, for example, in a certain area, within a large territory, for example, an entire republic in a format that can be perceived by all users and “readers” of cartograms. <italic>Conclusion.</italic> Oncology is a disease that spreads through the population by leaps and bounds. In this regard, it is necessary to collect as much statistical data as possible for more accurate predictions of the outcome of the disease, treatment of oncology and, most importantly, the preparation of preventive measures for this disease. Digitalization of healthcare in the form of digital cartograms will undoubtedly help in this.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;"><italic>Актуальность.</italic> За последние несколько лет во всем мире наблюдается тенденция к росту заболеваемости и смертности от рака. Представители здравоохранения и исследователи-э пидемиологи часто используют карты заболеваемости для выявления потенциальных групп заболеваний. Картограммы — это картографическое изображение различных территорий, которые содержат информацию не о площади занимаемой территории, а о интересующей читателя переменной, например, численности населения или о конкретном заболевании. Данный инструмент используется для визуализации данных уже более века, однако именно сейчас приобретает все большую популярность для отображения закономерностей и направленности изменений в окружающем нас мире. Внедрение картограмм в сферу здравоохранения происходит постепенно в зависимости от полученных результатов при разработке различных типов картограмм. В полной мере сложно оценить важность сбора и анализа информации о течении онкологических заболеваний. Однако при совершенствовании этой системы можно добиться хороших результатов в предотвращении возникновении онкологических заболеваний и повышении уровня оказываемой онкологической помощи. <italic>Целью </italic>данного исследования является анализ существующей информации о картограммах, применимых в онкологии. В данной публикации рассматриваются вопросы, связанные с необходимостью применения картограмм в онкоэпидемиологии, причины возникновения онкологии, преимущества использования картограмм для рассмотрения различного спектра заболеваний от просто инфекционных до ВИЧ и технические вопросы географической визуализации, а также проблем и пути их решения. Картограммы — инструмент, который наглядно демонстрирует изменения, происходящие на небольшой территории, например, в определенном районе, внутри большой территории, например, целой республики в том формате, который могут воспринять все пользователи и «читатели» картограмм. <italic>Выводы.</italic><bold> </bold>Онкология — заболевание, которое распространяется по популяции семимильными шагами. В связи с этим необходимо собрать как можно больше статистических данных для более точных прогнозов исхода заболевания, лечения онкологии и самое главное составление мер профилактики данного заболевания. В этом, без сомнения, поможет цифровизация здравоохранения в виде цифровых картограмм.</p></trans-abstract><kwd-group xml:lang="en"><kwd>cartograms</kwd><kwd>oncology</kwd><kwd>mapping</kwd><kwd>oncoepidemiology</kwd><kwd>oncological risk</kwd><kwd>geoinformation system</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>картограммы</kwd><kwd>онкология</kwd><kwd>картографирование</kwd><kwd>онкоэпидемиология</kwd><kwd>онкологический риск</kwd><kwd>геоинформационная система</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Torre LA, Siegel RL, Ward EM, Jemal A. Global Cancer Incidence and Mortality Rates and Trends - An Update. Cancer Epidemiol Biomarkers Prev. 2016;25(1):16-27. doi: 10.1158/1055-9965.EPI-15-0578</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Dwyer-­Lindgren L, Mokdad AH, Srebotnjak T, Flaxman AD, Hansen GM, Murray CJ Cigarette smoking prevalence in US counties: 1996-2012. 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