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Estimating the Prevalence of Opioid use Disorder in the Cincinnati Region using Probabilistic Multiplier Methods and Model Averaging

机译:使用概率乘数法和模型平均法估算辛辛那提地区阿片类药物使用障碍的患病率

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摘要

Opioid use disorder (OUD) and its consequences have strained the resources of health, social, and criminal justice services in the Cincinnati region. However, understanding of the potential number of people suffering from OUD is limited. Little robust and reliable information quantifies the prevalence and there is often great variation between individual estimates of prevalence. In other fields such as meteorology, finance, sports, and politics, model averaging is commonly employed to improve estimates and forecasts. The objective of this study was to apply a model averaging approach to estimate the number of individuals with OUD in the Cincinnati region.
机译:阿片类药物使用障碍(OUD)及其后果使辛辛那提地区的卫生,社会和刑事司法服务资源紧张。但是,对遭受OUD的潜在人数的了解有限。很少有健壮和可靠的信息可以量化患病率,而且各个患病率估计值之间通常会有很大差异。在气象,金融,体育和政治等其他领域,模型平均通常用于改善估计和预测。这项研究的目的是应用模型平均方法来估计辛辛那提地区有OUD的人数。

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