Modeling cancer parameters using Globocan Bangladesh 2020 estimates
Book Series on Modeling Cancer Incidence-Mortality and Cum.Risk. Insights for Predicting Future Trends in Public Health
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Cancer remains a major public health burden in Bangladesh, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Bangladeshi population. In 2020, an estimated 156,775 new cases and 108,990 deaths occurred. The most frequent cancers were oesophagus, lip and oral cavity, lung, breast, and cervix uteri, with oesophagus showing the highest lethality (Nd/Nc = 93%). The global mortality ratio (slope = 0.7604) suggests that about three-quarters of new cases result in death....
Cancer remains a major public health burden in Bangladesh, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Bangladeshi population. In 2020, an estimated 156,775 new cases and 108,990 deaths occurred. The most frequent cancers were oesophagus, lip and oral cavity, lung, breast, and cervix uteri, with oesophagus showing the highest lethality (Nd/Nc = 93%). The global mortality ratio (slope = 0.7604) suggests that about three-quarters of new cases result in death. Linear and power-law correlations (Eqs. 1-7) describe the causal link between incidence and mortality, while the parameters ( = 1.050, k = 0.411, Gammai > 1) express behavioral and severity indices. Gender disparities are evident, with oesophagus and lung cancers dominating in males, and breast and cervix uteri in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Bangladesh.
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