研究报告:新颖的沙利文法投影框架在长 COVID 中的应用。

IF 3.6 1区 社会学 Q1 DEMOGRAPHY
Cayley Ryan-Claytor, Ashton Verdery
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引用次数: 0

摘要

传统的沙利文方法最初是为估算健康预期寿命而开发的,现在仍然是获取各种健康和社会状况对人口影响的时点估算值的常用工具。然而,除了在极少数数据密集的情况下,该方法受制于严格的静态假设,而这些假设往往与现实世界的条件不符,从而限制了其估算结果和应用。在本研究报告中,我们对原始方法进行了扩展,使其适用于人口预测框架。苏利文方法的预测框架所产生的估计值,为我们提供了在各种人口和流行病学情景下人口健康和社会安排未来趋势的新见解,例如在不同假设条件下,人口成员在某一时间区间内患有相关疾病的预期寿命年数百分比。我们以长 COVID 为例,展示了这一框架的实用性,说明了其在各种理论情景下的操作和揭示新出现的人口健康挑战的潜力。传统的沙利文方法提供了对当前情况的简要衡量,而将其纳入预测框架则可以为各种潜在的未来做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Note: A Novel Sullivan Method Projection Framework With Application to Long COVID.

Originally developed for estimating healthy life expectancy, the traditional Sullivan method continues to be a popular tool for obtaining point-in-time estimates of the population impacts of a wide range of health and social conditions. However, except in rare data-intensive cases, the method is subject to stringent stationarity assumptions, which often do not align with real-world conditions and restrict its resulting estimates and applications. In this research note, we present an expansion of the original method to apply within a population projection framework. The Sullivan method projection framework produces estimates that offer new insights about future trends in population health and social arrangements under various demographic and epidemiologic scenarios, such as the percentage of life years that population members can expect to spend with a condition of interest in a time interval under different assumptions. We demonstrate the utility of this framework using the case of long COVID, illustrating both its operation and potential to reveal insights about emergent population health challenges under various theoretically informed scenarios. The traditional Sullivan method provides a summary measure of the present, while its incorporation into a projection framework enables preparation for a variety of potential futures.

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来源期刊
Demography
Demography DEMOGRAPHY-
CiteScore
5.90
自引率
2.90%
发文量
82
期刊介绍: Since its founding in 1964, the journal Demography has mirrored the vitality, diversity, high intellectual standard and wide impact of the field on which it reports. Demography presents the highest quality original research of scholars in a broad range of disciplines, including anthropology, biology, economics, geography, history, psychology, public health, sociology, and statistics. The journal encompasses a wide variety of methodological approaches to population research. Its geographic focus is global, with articles addressing demographic matters from around the planet. Its temporal scope is broad, as represented by research that explores demographic phenomena spanning the ages from the past to the present, and reaching toward the future. Authors whose work is published in Demography benefit from the wide audience of population scientists their research will reach. Also in 2011 Demography remains the most cited journal among population studies and demographic periodicals. Published bimonthly, Demography is the flagship journal of the Population Association of America, reaching the membership of one of the largest professional demographic associations in the world.
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