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Modeling cancer parameters using Globocan Turkey 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 Turkey, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Turkey population. In 2020, an estimated 233,834 new cases and 126,335 deaths occurred. The most frequent cancers were Lung, Breast, Prostate, Thyroid and Stomach, with Pancreas showing the highest lethality (Nd/Nc ≈ 97.9%). The global mortality ratio (slope ≈ 0.63) 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 (α = 1.067, k = 0.247, γi > 1) express behavioral and severity indices. Gender disparities are evident, with Lung and Prostate cancers dominating in males, and Breast and Thyroid in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Turkey.
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Modeling cancer parameters using Globocan Turkey 2020 estimates
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. N° de réf. du vendeur 9786209555220
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Modeling cancer parameters using Globocan Turkey 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. nach der Bestellung gedruckt Neuware - Printed after ordering - Cancer remains a major public health burden in Turkey, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Turkey population. In 2020, an estimated 233,834 new cases and 126,335 deaths occurred. The most frequent cancers were Lung, Breast, Prostate, Thyroid and Stomach, with Pancreas showing the highest lethality (Nd/Nc = 97.9%). The global mortality ratio (slope = 0.63) 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 ( = 1.067, k = 0.247, Gammai > 1) express behavioral and severity indices. Gender disparities are evident, with Lung and Prostate cancers dominating in males, and Breast and Thyroid in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Turkey. N° de réf. du vendeur 9786209555220
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Modeling cancer parameters using Globocan Turkey 2020 estimates
impression à la demandeVendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cancer remains a major public health burden in Turkey, requiring quantitative analyses to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Turkey population. In 2020, an estimated 233,834 new cases and 126,335 deaths occurred. The most frequent cancers were Lung, Breast, Prostate, Thyroid and Stomach, with Pancreas showing the highest lethality (Nd/Nc ¿ 97.9%). The global mortality ratio (slope ¿ 0.63) 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 (¿ = 1.067, k = 0.247, ¿i > 1) express behavioral and severity indices. Gender disparities are evident, with Lung and Prostate cancers dominating in males, and Breast and Thyroid in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Turkey.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786209555220
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EUR 60,90
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Expédition depuis Allemagne vers Etats-Unis
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