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Estimation of population denominators for public health studies at the tract gender and age-specific level.

机译:在公共区域性别和特定年龄级别评估公共卫生研究的人口分母。

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摘要

In epidemiologic and public health studies of disease incidence in geographic subpopulations, attention is properly directed toward the ascertainment of accurate numerators. Population or person-years denominators are generally given less consideration, under the assumption that estimates produced by sources other than the state health department are sufficiently accurate. Here, we report our experience in estimating person-years denominators in the highly urbanized, rapidly expanding population of Maricopa County, Arizona. The usual sources of population estimates were found to be of little use for public health purposes, and so we report on a method for obtaining smoothed person-years figures that can accurately reflect population acceleration which varies from one time period to another. Our method is to regress the logarithm of census enumerations on quadratic or tertic polynomials in time. We describe how differential reliability of census figures can be incorporated into our procedure, and how the problem of missing census data can be handled by an iterated regression method. Our evidence suggests that the logarithmic regression model works well, even in the face of rapid and erratic population growth or decline.
机译:在流行病学和公共卫生研究中,地理区域人群的疾病发生率应适当地关注于确定准确的分子。在假设由州卫生部门以外的其他来源得出的估算值足够准确的假设下,通常不考虑人口或人年分母。在这里,我们报告我们在估算高度城市化,快速增长的亚利桑那州马里科帕县人口中的人年分母的经验。人们发现,通常的人口估计来源很少用于公共卫生目的,因此,我们报告了一种获取平滑的人年数字的方法,该方法可以准确反映每个时期的人口加速变化。我们的方法是及时对二次或三次多项式上的人口普查对数进行回归。我们描述了如何将普查数据的差分可靠性纳入我们的程序,以及如何通过迭代回归方法来解决普查数据丢失的问题。我们的证据表明,即使面对快速而不稳定的人口增长或下降,对数回归模型也能很好地发挥作用。

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