Modeling cancer parameters using Globocan Yemen 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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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
27.04.2026
Verlag
GlobeEditSeitenzahl
160
Maße (L/B/H)
22/15/1 cm
Gewicht
256 g
Sprache
Englisch
ISBN
978-620-9-92211-4
Cancer remains a major public health burden in Yemen, requiring quantitative analyzes to support prevention and control strategies. Using Globocan 2020 estimates, this study models cancer incidence, mortality, and cumulative risk in the Yemen population. In 2020, an estimated 16,476 new cases and 12,103 deaths occurred. The most frequent cancers were Breast, Colorectum, Leukaemia, Stomach, and, Non-Hodgkin lymphoma showing the highest lethality (Nd/Nc ¿ 96.4%) for Oesophagus cancer followed by (95.7%) for Liver cancer. The global mortality ratio (slope ¿ 0.68) 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 (¿ = 1.046, k = 0.5340, ¿i> 1) express behavioral and severity indices. Gender disparities are evident, with Colorectum, Stomach and Non-Hodgkin lymphoma cancers dominating in males, and Breast, Colorectum and Oesophagus in females. The modeling framework offers predictive insight for evaluating cancer dynamics and improving early detection and public health interventions in Yemen.
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