文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs.

作者信息

Buchanan Ashley L, Katenka Natallia, Lee Youjin, Wu Jing, Pantavou Katerina, Friedman Samuel R, Halloran M Elizabeth, Marshall Brandon D L, Forastiere Laura, Nikolopoulos Georgios K

机构信息

Department of Pharmacy Practice, University of Rhode Island, Kingston, RI 02881, USA.

Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI 02881, USA.

出版信息

Pathogens. 2023 Feb 15;12(2):326. doi: 10.3390/pathogens12020326.


DOI:10.3390/pathogens12020326
PMID:36839598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9967280/
Abstract

Human Immunodeficiency Virus (HIV) interventions among people who use drugs (PWUD) often have spillover, also known as interference or dissemination, which occurs when one participant's exposure affects another participant's outcome. PWUD are often members of networks defined by social, sexual, and drug-use partnerships and their receipt of interventions can affect other members in their network. For example, HIV interventions with possible spillover include educational training about HIV risk reduction, pre-exposure prophylaxis, or treatment as prevention. In turn, intervention effects frequently depend on the network structure, and intervention coverage levels and spillover can occur even if not measured in a study, possibly resulting in an underestimation of intervention effects. Recent methodological approaches were developed to assess spillover in the context of network-based studies. This tutorial provides an overview of different study designs for network-based studies and related methodological approaches for assessing spillover in each design. We also provide an overview of other important methodological issues in network studies, including causal influence in networks and missing data. Finally, we highlight applications of different designs and methods from studies of PWUD and conclude with an illustrative example from the Transmission Reduction Intervention Project (TRIP) in Athens, Greece.

摘要

相似文献

[1]
Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs.

Pathogens. 2023-2-15

[2]
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs.

Ann Appl Stat. 2023-9

[3]
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.

Cochrane Database Syst Rev. 2022-2-1

[4]
Sociometric Risk Network Structure, HIV Prevalence, and Drug Injection-Related Norms among People Who Inject Drugs (PWID) in Athens, Greece.

Subst Use Misuse. 2021

[5]
Assessing Direct and Spillover Effects of Intervention Packages in Network-Randomized Studies.

medRxiv. 2024-2-1

[6]
Knowledge, Normative Beliefs and Attitudes Related to Recent HIV Infection among People who Inject Drugs in Athens, Greece.

Curr HIV Res. 2017

[7]
Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model.

Epidemiol Infect. 2022-10-28

[8]
Role of direct and indirect social and spatial ties in the diffusion of HIV and HCV among people who inject drugs: a cross-sectional community-based network analysis in New Delhi, India.

Elife. 2021-8-3

[9]
Experiences of Stigma and Support Reported by Participants in a Network Intervention to Reduce HIV Transmission in Athens, Greece; Odessa, Ukraine; and Chicago, Illinois.

AIDS Behav. 2019-5

[10]
Impact of summer programmes on the outcomes of disadvantaged or 'at risk' young people: A systematic review.

Campbell Syst Rev. 2024-6-13

本文引用的文献

[1]
Causal Inference for Social Network Data.

J Am Stat Assoc. 2024

[2]
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs.

Ann Appl Stat. 2023-9

[3]
Randomization for the susceptibility effect of an infectious disease intervention.

J Math Biol. 2022-9-20

[4]
Estimands in cluster-randomized trials: choosing analyses that answer the right question.

Int J Epidemiol. 2023-2-8

[5]
An introduction to spillover effects in cluster randomized trials with noncompliance.

Clin Trials. 2022-8

[6]
Analytic Advances in Social Networks and Health in the Twenty-First Century.

J Health Soc Behav. 2022-6

[7]
Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health.

J R Stat Soc Ser C Appl Stat. 2017-4

[8]
Indirect protection of children from SARS-CoV-2 infection through parental vaccination.

Science. 2022-3-11

[9]
Identification of causal intervention effects under contagion.

J Causal Inference. 2021-1

[10]
Egocentric social network characteristics and cardiovascular risk among patients with hypertension or diabetes in western Kenya: a cross-sectional analysis from the BIGPIC trial.

BMJ Open. 2021-9-2

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索