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The authors explore the association between demographics and the most prevalent cancers in the United States by analyzing empirical data from the Centers for Disease Control and Prevention, with indicators like cancer site, cancer incidence rate, relative survival rate, death rate, and demographic and lifestyle factors. Identifying cancer-related factors can contribute to improvements in treatment and management of the disease. They use visual analytics to show behavioral factors and age to be associated with increasing incidence rates. Females are more susceptible to breast and males to prostate cancer. As a preventive measure, national healthcare entities, insurance companies, and the government should consider both gender and age factors and monitor behavioral health measures like drugs and diet, in evaluating cancer treatment/mitigation. Preventive care combined with improved outcomes and reduced costs is necessary. The authors offer implications for all developed countries in identifying key areas to target and manage public health.

Exploring the Association Between Demographics and Cancer: A Visual Analytics Approach