People who inject drugs in metropolitan Chicago: A meta-analysis of data from 1997-2017 to inform interventions and computational modeling toward hepatitis C microelimination.
People who inject drugs in metropolitan Chicago: A meta-analysis of data from 1997-2017 to inform interventions and computational modeling toward hepatitis C microelimination.
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DOI：
10.1371/journal.pone.0248850
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
Ozik J
中科院分区：
文献类型：
--
作者：
Boodram B;Mackesy-Amiti ME;Khanna A;Brickman B;Dahari H;Ozik J
在美国消除丙型肝炎病毒（HCV）的进展并没有达到世界卫生组织设定的目标，因为阿片类药物危机继续推动注射药物使用和增加HCV发病率。实现这一目标的一个务实方法是使用微消除方法，重点关注注射毒品（PWID）等高危人群。计算模型有助于理解个体、社会和结构水平因素的复杂相互作用，这些因素可能会改变HCV的发病率、患病率、传播和治疗吸收，以实现HCV的微量消除。然而，这些模型需要与现实的社会人口，风险行为和网络的PWID估计。我们对大都市芝加哥20年来PWID研究和干预的研究进行了荟萃分析，以产生用于现实计算模型的合成人群的参数（例如，基于代理的模型）。然后，我们拟合指数随机图模型（ERGM），使用荟萃分析的网络估计，以开发合成人口的网络组件。
Progress toward hepatitis C virus (HCV) elimination in the United States is not on track to meet targets set by the World Health Organization, as the opioid crisis continues to drive both injection drug use and increasing HCV incidence. A pragmatic approach to achieving this is using a microelimination approach of focusing on high-risk populations such as people who inject drugs (PWID). Computational models are useful in understanding the complex interplay of individual, social, and structural level factors that might alter HCV incidence, prevalence, transmission, and treatment uptake to achieve HCV microelimination. However, these models need to be informed with realistic sociodemographic, risk behavior and network estimates on PWID. We conducted a meta-analysis of research studies spanning 20 years of research and interventions with PWID in metropolitan Chicago to produce parameters for a synthetic population for realistic computational models (e.g., agent-based models). We then fit an exponential random graph model (ERGM) using the network estimates from the meta-analysis in order to develop the network component of the synthetic population.
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影响因子：
4.2
作者：
Boodram, Basrnattee;Hershow, Ronald C.;Ouellet, Lawrence J.
通讯作者：
Ouellet, Lawrence J.
影响因子：
4.2
作者：
Broz, Dita;Ouellet, Lawrence J.
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影响因子：
3.7
作者：
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通讯作者：
Major ME
DOI：
10.1016/0197-2456(86)90046-2
发表时间：
1986-09-01
期刊：
CONTROLLED CLINICAL TRIALS
影响因子：
--
作者：
DERSIMONIAN, R;LAIRD, N
通讯作者：
LAIRD, N
影响因子：
4.2
作者：
Hotton, Anna;Mackesy-Amiti, Mary-Ellen;Boodram, Basmattee
通讯作者：
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