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Using Hungarian population data aged 25–64 (municipality level, 2007–2018) and applying disease mapping, spatial regression, risk analysis, and spatial scan statistics, the study evaluates malignant neoplasms overall and selected cancer sites. Results show a deprivation-associated burden for both morbidity and mortality, but mortality increases more steeply. Morbidity–deprivation relationships vary by cancer, with limited overlap between high-risk morbidity and mortality areas, often independent of deprivation. Findings indicate regions requiring targeted public health attention.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/spatial-disparities-in-cancer-incidence-and-mortality-indicating-gaps-in-prevention-andor-care/331467/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/spatial-disparities-in-cancer-incidence-and-mortality-indicating-gaps-in-prevention-andor-care/331467.png","ImageObject",300,407,{"name":92,"@type":93},"Skyler","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-13","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What was the study’s main goal regarding cancer outcomes?","Question",{"text":113,"@type":114},"To compare the spatial distribution of cancer incidence (morbidity) and mortality to assess whether their patterns are consistent with each other across regions.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were data and cancers selected in the study?",{"text":118,"@type":114},"All malignant neoplasms and site-specific cancers (cervical, colorectal, breast, pancreatic, lung, and oral) were analyzed in Hungarians aged 25–64 at the municipality level for 2007–2018, by sex.",{"name":120,"@type":111,"acceptedAnswer":121},"What did the results show about deprivation and mortality versus morbidity?",{"text":122,"@type":114},"Both morbidity and mortality were significantly associated with deprivation, but mortality rose much more steeply with increasing deprivation than morbidity. The deprivation–morbidity association also differed by cancer type.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},331467,1790812454,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":81,"preview_page_count":4},2336464648746,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","17th European Public Health Conference 2024 iii515  \nAbstract citation ID: ckae144.1323  \nSpatial disparities in cancer incidence and mortality, indicating gaps in prevention and/or care  \n􀀃 Rza Adány  \nR dány1,2,3, A Juhász1, C Nagy1, P Pik1,4, B Oroszi1  \n1Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary 2HUN-REN Public Health Research Group, University of Debrecen,  \nDebrecen, Hungary  \n3Department of Preventive Medicine, Semmelweis University, Budapest, Hungary 4Department of Public Health and Epidemiology, University of Debrecen, Debrecen, Hungary  \nContact: [adany.roza@med.unideb.hu](adany.roza@med.unideb.hu)  \nBackground: There is a rich literature on the distribution of cancer incidence and mortality in socioeconomically different regions of the world, but none of the studies has compared the spatial distribution of mortality and morbidity to see if they are consistent with each other.  \nMethods: All malignant neoplasms and separately by cervical, colorectal, breast, pancreatic, lung and oral cancers were studied in the Hungarian population aged 25-64 years for the period 2007-2018 atthe municipality level by sex. In each case, the spatial distribution of morbidity and mortality and their clusters were compared with eachother and with the level of deprivation using disease mapping, spatial regression, risk analysis and spatial scan statistics.  \nResults: All-cause cancer morbidity and mortality showed a significant association with deprivation. However, the slope of the increase in mortality with increasing deprivation was much steeper than for morbidity in both sexes. The association between deprivation and morbidity was not consistent across all cancers. No significant association was found for male colorectal cancer (RR: 1.003; 95%CI 0.986-1.019), pancreatic cancer (1.014; 95%CI 0.983-1.045) and female colorectal cancer morbidity (RR: 0.977; 95%CI 0.991-1.029), whereas a negative association was found for breast cancer morbidity (RR: 0.977; 95%CI 0.963-0.991) . In contrast, a positive association between deprivation and mortality was found for each type of cancer, although with different RRs. However, disease mapping analyses showed only partial overlap between high-risk morbidity and mortality areas, often independent of deprivation.  \nConclusions: Our results highlight not only the diverse relationship between the epidemiological situation and deprivation, but also the disproportionate relationship between cancer morbidity and mortality, thus identifying geographical regions and sub-regions with populations that require special public health attention.  \nKey messages:  \n• Comparative spatial analysis of cancer morbidity and mortality atthe municipality level is strongly recommended to identify populations in need of targeted cancer prevention and/or care.  \n• The usefulness of comparative spatial analysis of cancer morbidity and mortality is demonstrated in Hungary, one of the countries with the most unfavourable cancer burden in international comparison.","cbCaikqvZbDY6RRF","https://ap.wps.com/l/cbCaikqvZbDY6RRF","pdf",41240,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusions\n## Key messages","[{\"question\":\"What was the study’s main goal regarding cancer outcomes?\",\"answer\":\"To compare the spatial distribution of cancer incidence (morbidity) and mortality to assess whether their patterns are consistent with each other across regions.\"},{\"question\":\"How were data and cancers selected in the study?\",\"answer\":\"All malignant neoplasms and site-specific cancers (cervical, colorectal, breast, pancreatic, lung, and oral) were analyzed in Hungarians aged 25–64 at the municipality level for 2007–2018, by sex.\"},{\"question\":\"What did the results show about deprivation and mortality versus morbidity?\",\"answer\":\"Both morbidity and mortality were significantly associated with deprivation, but mortality rose much more steeply with increasing deprivation than morbidity. The deprivation–morbidity association also differed by cancer type.\"}]","Spatial disparities in cancer incidence and mortality - indicating gaps in prevention and/or care | PDF",1789993370]