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Prevalence Projections of Chronic Diseases and Impact of Public Health Intervention

机译:慢性病的流行预测和公共卫生干预的影响

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摘要

The estimation of future prevalences of chronic diseases is essential for public health policy. Using incidence estimates from cohort data and demographic projections for general mortality and population sizes, we propose a method based on a general illness-death model to make prevalence projections for chronic diseases. In contrast to previously published methods, we account for differences between global mortality and mortality of healthy subjects and compare two assumptions regarding the secular trend for mortality of diseased subjects. Then we develop a methodology to estimate changes in future disease prevalences resulting from prevention campaign to reduce the frequency or the excess risk associated with a risk factor. The methods are applied for estimating dementia prevalence in France between 2010 and 2030.
机译:对未来慢性病患病率的估计对于公共卫生政策至关重要。使用来自队列数据的发病率估计值和一般死亡率和人口规模的人口统计预测,我们提出了一种基于一般疾病死亡模型的方法来对慢性病进行流行预测。与以前发表的方法相比,我们考虑了总体死亡率与健康受试者死亡率之间的差异,并比较了关于患病受试者死亡率的长期趋势的两个假设。然后,我们开发一种方法来估计由预防运动导致的未来疾病患病率的变化,以减少与危险因素相关的频率或过度危险。该方法用于估计2010年至2030年法国的痴呆症患病率。

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