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Tag: Epidemiology
01/22/2021

Using Big Data to Identify Genetic, Neural Bases for Substance Use Disorder

Article Excerpt: One of the challenges for researchers studying SUDs (substance use disorders) is that there might be different underlying mechanisms or pathways that cause someone to become addicted to a certain substance, and the specific neurological and genetic factors that account for heterogeneous clinical manifestation are poorly understood. Professor Jinbo Bi in the Department of Computer Science and Engineering at the University of Connecticut has received a $1.7 million grant from the National Institute on Drug Abuse to develop machine learning algorithms to help identify SUD subcategories based on clinical, neuroimaging, and genetic data.

Full Article: https://tinyurl.com/y45pz376

Article Source: Mirage News

05/20/2020

Real-Time Data Are Essential for COVID-19. They’re Just as Important for the Opioid Overdose Crisis

Article Excerpt: The public has benefited from seeing the spread of the Covid-19 pandemic in the moment. Although it is scary seeing the numbers of diagnoses and deaths rising day by day, these data help bring clarity and accountability to an ongoing crisis that requires both. It is time to bring this kind of real-time outcome data to America’s addiction crisis and make it available to the public. It’s the only way of knowing if what we’re doing to address the problem is making a difference.

Full Article: https://tinyurl.com/y8te7w9t

Article Source: Stat News

04/10/2020

Spatio‐temporal assessment of illicit drug use at large scale: Evidence from 7 years of international wastewater monitoring

González‐Mariño I, Baz‐Lomba J, Alygizakis N, et al. (2020). Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring. Addiction. 115 (1): 109-120. doi: 10.1111/add.14767

Researchers used wastewater‐based epidemiology (WBE) to analyze the residue of amphetamine, methamphetamine, 3,4-Methylenedioxymethamphetamine (MDMA), benzoylecgonine (cocaine metabolite), and THC−COOH (cannabis metabolite), in the raw wastewater of 60 million people in 143 wastewater treatment plants in 120 cities in 37 countries, to determine illicit drug use trends over 7 years (2011–2017). Read More