Drug Consumption Trends and Take Back Program Indicators: A wastewater-based approach in Washington State

药物消费趋势和回收计划指标:华盛顿州基于废水的方法

基本信息

  • 批准号:
    10046299
  • 负责人:
  • 金额:
    $ 34.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract This project proposes to monitor illicit drug and prescription opioid consumption trends at the population level in six cities in Washington State over a three year period. This study overlaps with two other major events: 1) the initiation of a state-wide drug take back program and 2) the 2020 census. This, first in the nation, statewide drug take-back program is aimed at reducing prescription opioid abuse and to reduce environmental contamination. Wastewater provides an excellent approach to provide an indicator of the effectiveness of this program. Prescription opioids and their metabolites will be measured as part of the three year monitoring program and the change in hydrocodone/norhydrocodone (metabolite) will be used as a take-back program indicator. Hydrocodone and its metabolite will be used because it is highly prescribed, highly wasted, and recommended by the DEA for disposal by flushing. Wastewater-based approaches to population level drug consumption include many data inputs with population being the largest source of uncertainty. This project will identify and monitor compounds in wastewater that reflect human populations. Levels of these population biomarkers (drugs and food additives) in wastewater will be used to develop a more accurate account of the population size contributing to the wastewater sample and thus to develop better per capita consumption estimates. Levels of these population markers will be validated with 2020 census data and the dynamic trends in populations will be evaluated with mobile device data. These population biomarkers will thus provide the project’s illicit drug and prescription opioid three-year consumption trends with updated and reliable per capita data.
项目总结/摘要 该项目建议监测人口中非法药物和处方类阿片的消费趋势, 在华盛顿州的六个城市的水平超过三年的时间。这项研究与其他两项主要研究重叠。 事件:1)启动全州范围的药物回收计划和2)2020年人口普查。这是全国第一次 全州范围的药物回收计划旨在减少处方阿片类药物滥用,并减少环境污染。 污染.废水提供了一个很好的方法来提供一个指标的有效性, 程序.处方阿片类药物及其代谢物将作为三年监测的一部分进行测量 氢可酮/去甲氢可酮(代谢产物)的变化将用作回收计划 指标.将使用氢可酮及其代谢物,因为它是高度处方,高度浪费, 被缉毒局推荐用冲水的方式处理以水为基础的人口药物管理办法 消费包括许多数据输入,人口是最大的不确定性来源。该项目将 识别和监测废水中反映人口的化合物。这些人口的水平 废水中的生物标志物(药物和食品添加剂)将用于开发更准确的帐户, 有助于废水样本的人口规模,从而提高人均消费量 估算这些人口标志物的水平将根据2020年人口普查数据和动态趋势进行验证 将使用移动终端数据对人群进行评价。因此,这些群体生物标志物将提供 项目的非法药物和处方类阿片三年消费趋势以及最新和可靠的人均消费量 数据

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

DAN BURGARD其他文献

DAN BURGARD的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('DAN BURGARD', 18)}}的其他基金

Using Sewers to Understand the Legalized Retail Sales Effects on Marijuana Consumption
利用下水道了解合法零售对大麻消费的影响
  • 批准号:
    8970208
  • 财政年份:
    2015
  • 资助金额:
    $ 34.5万
  • 项目类别:

相似海外基金

Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
  • 批准号:
    MR/S03398X/2
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
  • 批准号:
    EP/Y001486/1
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
  • 批准号:
    2338423
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
  • 批准号:
    MR/X03657X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
  • 批准号:
    2348066
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Standard Grant
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
  • 批准号:
    2341402
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
  • 批准号:
    AH/Z505481/1
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    EU-Funded
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
  • 批准号:
    AH/Z505341/1
  • 财政年份:
    2024
  • 资助金额:
    $ 34.5万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了