Modeling cancer parameters using Globocan World 2020 estimates

Name: Modeling cancer parameters using Globocan World 2020 estimates
Brand: OmniScriptum
SKU: 9786209244766
Price: 55.58 EUR
Availability: InStock

Book Series on Modeling Cancer Incidence-Mortality and Cum Risk. Insights for Predicting Future Trends in Public Health. DE

Автор: Senyefia Bosson-Amedenu, Noureddine Ouerfelli

Език:

Корици: С меки корици

Издател: OmniScriptum

Наличност: Външен склад

Изпращаме след 8-11 дни

55.58 € 108.70 лв

Cancer poses a growing public health crisis globally, necessitating data-driven interventions. This...

Информация за книгата

Автор

Senyefia Bosson-Amedenu, Noureddine Ouerfelli

Език

Английски език

Корици

Книга - С меки корици

Издадена

2025

страници

100

EAN

9786209244766

Enbook ID

50163989

Издател

OmniScriptum

Теглоt

167

Размери

150 x 220

Пълно описание

Cancer poses a growing public health crisis globally, necessitating data-driven interventions. This study utilized GLOBOCAN 2020 estimates and mathematical modeling to analyze cancer incidence, mortality, and risk. Key parameters are based on the estimated 19.3 million new cancer cases (18.1 million excluding non-melanoma skin cancers) and almost 10.0 million cancer deaths (9.9 million excluding non-melanoma skin cancers) in 2020.Marked sex-specific patterns emerged lung, prostate, and colorectal cancers drove the incidence burden in males, while breast, lung, and colorectal cancers predominate in females. Vietnam's Age-Standardized Mortality Rate (ASMR) is high at 104.4/100,000, particularly elevated in males (146.2/100,000).Notably, the world exhibits a high Age-Standardized Mortality Rate (ASMR) of 91.7/100,000 population, with males showing a higher rate (109.8/100,000). The established quantitative framework and correlation models provide crucial data-driven foundations for prioritizing resource allocation, developing highly targeted cancer prevention strategies, and enhancing early detection programs tailored to the world's unique demographic and epidemiological profile.

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