A Bayesian Spatio-temporal Model to Optimize Allocation of Buprenorphine in North Carolina

نویسندگان

چکیده

The opioid epidemic is an ongoing public health crisis. In North Carolina, overdose deaths due to illicit have sharply increased over the last 5-7 years. Buprenorphine a U.S. Food and Drug Administration approved medication for treatment of use disorder obtained by prescription. Prior January 2023, providers had obtain waiver were limited in number patients that they could prescribe buprenorphine. Thus, identifying counties where increasing buprenorphine would yield greatest overall reduction death can help policymakers target certain geographical regions inform effective response. We propose Bayesian spatio-temporal model relates yearly, county-level changes rates prescriptions. our forecast statewide count rate future years, we nonlinear constrained optimization identify optimal increase each county under set constraints on available resources. Our estimates negative relationship between after accounting other covariates, identified single-year allocation strategy estimated reduce 5%

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Mathematical Model to Optimize Allocation Sequence in Dispatching Problem

Truck-Shovel fleet, as the most common transportation system in open-pit mines, has a significant part of mining costs, for which optimal management can lead to substantial cost reductions. Among the available dispatch mathematical models, the multi-stage approach is well suited for allocating trucks to respected shovels in a dynamic dispatching program. However, with this kind of modeling sequ...

متن کامل

Spatio-temporal and Ecological Analysis of Brucellosis in North of Iran

Epidemic diseases are a public health concern that has many economic costs and health problems. The geographical distribution of these diseases is a spatial and temporal process. By understanding the process and identifying the factors that affect it, we can take an effective step in preventing and treating these diseases. Brucellosis is one of the most important zoonotic diseases in Iran. To b...

متن کامل

Assessment of Neonate's Congenital Hypothyroidism Pattern Using Poisson Spatio-temporal Model in Disease Mapping under the Bayesian Paradigm during 2011-18 in Guilan, Iran

Background: Congenital Hypothyroidism (CH) is one of the reasons for mental retardation and defective growth in neonates. It can be treated if it is diagnosed early. The congenital hypothyroidism can be diagnosed using newborn screening in the first days after birth. Disease mapping helps to identify high-risk areas of the disease. This study aimed to evaluate the pattern of CH using the Poisso...

متن کامل

A Bayesian decision model for drought management in rainfed wheat farms of North East Iran

Drought is a feature of climate that can occur in virtually all climates. Therefore, it is aninevitable global but site-specific phenomenon which requires tools to predict and strategies andoptions to cope with it. In this research, the ability and effectiveness of the Bayesian DecisionNetworks (BDNs) approach in decision-making and evaluating drought management options forrainfed wheat product...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistics and public policy

سال: 2023

ISSN: ['2330-443X']

DOI: https://doi.org/10.1080/2330443x.2023.2218448