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 - Couverture souple
Synopsis
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, ¿i> 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.
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Modeling cancer parameters using Globocan Algeria 2020 estimates
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. N° de réf. du vendeur 9786209655586
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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
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Taschenbuch. Etat : Neu. Modeling cancer parameters using Globocan Algeria 2020 estimates | Book Series on Modeling Cancer Incidence-Mortality and [.]. Insights for Predicting Future Trends in Public Health | Abderrahmane Younes (u. a.) | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209655586 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134918461
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Modeling cancer parameters using Globocan Algeria 2020 estimates
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. N° de réf. du vendeur 9786209655586
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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.DE
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9786209655586
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