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在美国国家和县级层面按年龄预测药物过量死亡率。

Forecasting drug-overdose mortality by age in the United States at the national and county levels.

作者信息

Böttcher Lucas, Chou Tom, D'Orsogna Maria R

机构信息

Department of Computational Science and Philosophy, Frankfurt School of Finance and Management, 60322 Frankfurt am Main, Germany.

Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095-1766, USA.

出版信息

PNAS Nexus. 2024 Feb 2;3(2):pgae050. doi: 10.1093/pnasnexus/pgae050. eCollection 2024 Feb.

Abstract

The drug-overdose crisis in the United States continues to intensify. Fatalities have increased 5-fold since 1999 reaching a record high of 108,000 deaths in 2021. The epidemic has unfolded through distinct waves of different drug types, uniquely impacting various age, gender, race, and ethnic groups in specific geographical areas. One major challenge in designing interventions and efficiently delivering treatment is forecasting age-specific overdose patterns at the local level. To address this need, we develop a forecasting method that assimilates observational data obtained from the CDC WONDER database with an age-structured model of addiction and overdose mortality. We apply our method nationwide and to three select areas: Los Angeles County, Cook County, and the five boroughs of New York City, providing forecasts of drug-overdose mortality and estimates of relevant epidemiological quantities, such as mortality and age-specific addiction rates.

摘要

美国的药物过量危机持续加剧。自1999年以来,死亡人数增加了5倍,在2021年达到创纪录的108,000人死亡。这场流行病通过不同药物类型的不同浪潮展开,在特定地理区域对不同年龄、性别、种族和族裔群体产生独特影响。设计干预措施并有效提供治疗的一个主要挑战是预测地方层面特定年龄的药物过量模式。为满足这一需求,我们开发了一种预测方法,该方法将从疾病控制与预防中心(CDC)的WONDER数据库获得的观测数据与成瘾和药物过量死亡率的年龄结构模型相结合。我们将我们的方法应用于全国范围以及三个选定地区:洛杉矶县、库克县和纽约市的五个行政区,提供药物过量死亡率预测以及相关流行病学数量的估计值,如死亡率和特定年龄的成瘾率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5021/11079616/e523a428182a/pgae050f1.jpg

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