Modeling cancer parameters using Globocan Algeria 2020 estimates : Book Series on Modeling Cancer Incidence-Mortality and Cum.Risk. Insights for Predicting Future Trends in Public Health. Dieser Artikel ist nicht verfügbar.Modeling cancer parameters using Globocan Algeria 2020 estimates : Book Series on Modeling Cancer Incidence-Mortality and Cum.Risk. Insights for Predicting Future Trends in Public Health

nach der Bestellung gedruckt Neuware - Printed after ordering - Cancer remains a major public health burden in Algeria, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Algeria population. In 2020, an estimated 58,418 new cases and 32,802 deaths occurred. The most frequent cancers were Breast, Colorectum, Lung, Prostate, and, Bladder showing the highest lethality (Nd/Nc = 96.3%) for Pancreas cancer. The global mortality ratio (slope = 0.45) 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 ( = 1.026, k = 0.4370, Gammai> 1) express behavioral and severity indices. Gender disparities are evident, with Lung and Prostate cancers dominating in males, and Breast and Colorectum in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Algeria.…