Modeling the Complex Dynamics between Behaviors and Environments Shaping HIV/STIs

对影响艾滋病毒/性传播感染的行为和环境之间的复杂动态进行建模

• 批准号: 9084511
• 负责人: Tommi Lynn Gaines
• 金额: $ 18.1万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9084511
• 关键词: Accounting; Address; Adherence; Adopted; Affect; Alcohol or Other Drugs use; Area; Behavior; Behavioral; Behavioral Research; Biological Models; Biomedical Computing; California; Collection; Communicable Diseases; Complex; Computational algorithm; Computer Simulation; Computing Methodologies; Data; Data Set; Development; Disease; Disease susceptibility; Drug abuse; Drug usage; Drug user; Economics; Educational workshop; Emergency Care; Environment; Environmental Risk Factor; Epidemic; Epidemiologic Studies; Epidemiology; Event; Funding; Future; Generic Drugs; Goals; Grant; HIV; HIV risk; HIV/STD; Health; Healthcare; Herpes zoster disease; Home environment; Individual; Injecting drug user; Injection of therapeutic agent; International; Knowledge; Laws; Lead; Learning; Life; Link; Location; Longitudinal Studies; Measures; Mentored Research Scientist Development Award; Mentors; Methodology; Methods; Mexico; Modeling; Movement; National Institute of Drug Abuse; Patients; Pattern; Pharmaceutical Preparations; Physical environment; Policies; Policy Making; Population; Positioning Attribute; Predisposition; Prevalence; Prevention; Process; Public Health; Regulation; Research; Research Infrastructure; Research Personnel; Research Project Grants; Risk; Role; Sampling; Sexual Health; Shapes; Social Environment; Spatial Distribution; Sterility; Structure; Substance abuse problem; Syringes; System; Time; Training; United States National Institutes of Health; Universities; Vulnerable Populations; Woman; Work; base; behavior change; behavioral/social science; computational network modeling; condoms; contextual factors; density; epidemiologic data; experience; female sex worker; high risk; innovation; insight; models and simulation; multidisciplinary; next generation; novel strategies; population based; public health intervention; public health research; response; sex; simulation; skills; social; social norm; social science research; tool; transmission process

DESCRIPTION (provided by applicant): The purpose of this Mentored Research Scientist Development Award (K01) is threefold. This will allow me to: 1) broaden my understanding of the social epidemiology of HIV among drug users and sex workers in a new cultural and environmental context, 2) learn a new methodology in computational modeling of infectious diseases, and 3) facilitate my transition to becoming a productive NIH-funded independent Investigator at the University of California San Diego. The training aims will be accomplished through a combination of specific workshops and coursework, a hands-on research project, and one-on-one mentoring with a Training Committee comprised of experts in areas of HIV-transmission networks, computational modeling, GIS and geospatial analysis, and HIV social epidemiology research in the US/Mexico border regions. This research will be accomplished by conducting multidisciplinary studies on the computational modeling of HIV/STI transmission to construct, validate, and calibrate a computer simulation model reflecting the complex interdependences between individual behavior and environmental influence on HIV/STI. This project will leverage data from an existing NIH/NIDA-funded R01, DA028692-01 ("Evolving HIV/STI risk environments of female sex workers (FSWs) on the Mexico/US border" aka Proyecto Mapa de Salud, PI Kimberly Brouwer) in order to capitalize on the infrastructure and expertise represented by that project. The US/Mexico border is experiencing a burgeoning HIV epidemic, concentrated among high-risk groups such as drug users and FSWs. Computational modeling has been routinely used in areas such as disease epidemiology, health care capacity, and patient flows in emergency care to capture the complex behavior of system but have been slower to be adopted in health-related behavioral and social science research. Computational modeling offers the unique opportunity to address the casual mechanism of HIV/STI risk by examining cyclic relationship of individuals interacting within their environment and in turn their environment shaping risk-related behaviors. The proposed research will allow me to apply newly acquired skills in computational modeling to develop a robust simulation of HIV/STI transmission as we change the context of risks including factors measured at the behavioral, social, physical, and geographical level. This model will be validated and calibrated with extant data sampled from a particularly high-risk population in Tijuana where HIV prevalence among women participating in sex work is 21%. Findings from this research will enhance scientific understanding on which environmental determinants affect population-levels of HIV/STI transmission and could have major implications for the types of evidence that are used to make policy decision and public health interventions. Further, developing skills in computational modeling will uniquely position me as only one of a handful of quantitative methodological researchers in the field of drug abuse possessing such skills, and the only one in the Division of Global Public Health at the University of California, San Diego.

描述（由申请人提供）：该指导研究科学家发展奖（K01）有三个目的。这将使我能够：1) 拓宽我对新文化和环境背景下吸毒者和性工作者中艾滋病毒社会流行病学的理解，2) 学习传染病计算模型的新方法，以及 3) 促进我的过渡成为美国国立卫生研究院 (NIH) 资助的加州大学圣地亚哥分校一名富有成效的独立研究员。培训目标将通过具体研讨会和课程、实践研究项目以及由艾滋病毒传播网络、计算模型、地理信息系统和地理空间领域的专家组成的培训委员会的一对一指导来实现。分析以及美国/墨西哥边境地区的艾滋病毒社会流行病学研究。这项研究将通过对 HIV/STI 传播的计算模型进行多学科研究来完成，以构建、验证和校准反映个人行为和环境对 HIV/STI 影响之间复杂的相互依赖性的计算机模拟模型。该项目将利用 NIH/NIDA 资助的现有 R01、DA028692-01（“墨西哥/美国边境女性性工作者 (FSW) 不断变化的 HIV/STI 风险环境”，又名 Proyecto Mapa de Salud，PI Kimberly Brouwer）的数据以利用该项目所代表的基础设施和专业知识。美国/墨西哥边境的艾滋病毒疫情正在迅速蔓延，主要集中在吸毒者和女性性工作者等高危人群中。计算模型通常用于疾病流行病学、医疗保健能力和紧急护理中的患者流动等领域，以捕获系统的复杂行为，但在与健康相关的行为和社会科学研究中采用的速度较慢。计算模型提供了独特的机会，通过检查个体在其环境中相互作用的循环关系以及反过来，来解决 HIV/STI 风险的偶然机制。 环境塑造风险相关行为。拟议的研究将使我能够应用新获得的计算模型技能，在我们改变风险背景（包括在行为、社会、身体和地理层面测量的因素）时，对艾滋病毒/性传播感染的传播进行强有力的模拟。该模型将利用从提华纳特别高危人群中采集的现有数据进行验证和校准，该地区从事性工作的妇女的艾滋病毒感染率为 21%。这项研究的结果将增强对哪些环境决定因素影响艾滋病毒/性传播感染人群水平的科学认识，并可能对用于制定政策决策和公共卫生干预措施的证据类型产生重大影响。此外，发展计算建模技能将使我成为药物滥用领域少数拥有此类技能的定量方法研究人员之一，也是加州大学圣地亚哥分校全球公共卫生部门唯一的一名研究人员。

项目成果

Core state preconception health indicators - pregnancy risk assessment monitoring system and behavioral risk factor surveillance system, 2009.

国家核心孕前健康指标——妊娠风险评估监测系统和行为危险因素监测系统，2009年。

• 发表时间: 2014-04-25
• 作者: Robbins, Cheryl L;Zapata, Lauren B;Farr, Sherry L;Kroelinger, Charlan D;Morrow, Brian;Ahluwalia, Indu;D'Angelo, Denise V;Barradas, Danielle;Cox, Shanna;Goodman, David;Williams, Letitia;Grigorescu, Violanda;Barfield, Wanda D;Centers for Diseas
• 通讯作者: Centers for Diseas

Utilization of Google enterprise tools to georeference survey data among hard-to-reach groups: strategic application in international settings.

利用 Google 企业工具对难以接触到的群体进行地理参考调查数据：国际环境中的战略应用。

• 发表时间: 2016-07-28
• 作者: Beletsky L;Arredondo J;Werb D;Vera A;Abramovitz D;Amon JJ;Brouwer KC;Strathdee SA;Gaines TL
• 通讯作者: Gaines TL