cancers du col de l'utérus en 2023.
This study focuses on estimating the prevalence of regional cervical cancers in France between 2011 and 2022. Using regional data on HPV rates, we analyze time series trends for specific regions (called "sentinelles"). The prevalence is calculated based on regional incidence estimates, incorporating multiple indicators. We employ statistical methods like ARIMA to forecast cervical cancer cases for the upcoming years. Furthermore, we investigate correlations between cervical cancer screening rates and incidence at both departmental and regional levels, revealing interesting insights on outlier regions. Our findings contribute to a deeper understanding of cancer epidemiology and could aid in developing targeted regional interventions.
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