Modeling cancer parameters using Globocan India 2018 estimates
Book Series on Modeling Cancer Incidence-Mortality and Cumulative Risk. Insights for Predicting Future Trends in Public
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Cancer remains a major public health challenge in India, requiring detailed epidemiological analysis to guide effective interventions. This study employs the Globocan 2018 data to quantitatively model key parameters of cancer incidence and mortality nationwide. Utilizing empirical modeling and statistical correlation techniques, it assesses approximately 1.16 million new cancer cases and 785,000 cancer-related deaths in 2018. The analysis highlights sex-specific patterns, with breast, cervix uteri, and ovarian cancers predominating in females, and lip, oral cavity, and lung cancers most common...
Cancer remains a major public health challenge in India, requiring detailed epidemiological analysis to guide effective interventions. This study employs the Globocan 2018 data to quantitatively model key parameters of cancer incidence and mortality nationwide. Utilizing empirical modeling and statistical correlation techniques, it assesses approximately 1.16 million new cancer cases and 785,000 cancer-related deaths in 2018. The analysis highlights sex-specific patterns, with breast, cervix uteri, and ovarian cancers predominating in females, and lip, oral cavity, and lung cancers most common among males. The model integrates demographic and tumor-specific variables, unveiling causal correlations between incident cases and mortality rates for various cancer types and enabling regional and gender disparity insights. This quantitative framework offers crucial data-driven foundations for optimizing resource allocation, shaping national cancer control strategies, and improving early detection and survival outcomes. The study's findings emphasize the urgency of targeted public health actions and provide a predictive tool to sustain future expectations of cancer burden in India.
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