Simulation Modeling to Understand and Address HIV Disparities in Racial, Ethnic, and Sexual Minority Populations

项目摘要 种族、民族和性别少数群体受到传染病的影响不成比例， 尤其是艾滋病毒。处于多个边缘身份交叉点的个人更有可能 感染艾滋病毒--尤其是与男性发生性关系的黑人和西班牙裔男性。在不断增长的同时 有证据表明，种族和性少数群体的日常生活与多数人不同，有 对社区的差异、时间被花费的地方的差异以及 与之相关的人群类型的差异可能会影响疾病的传播和加剧差异。此外， 对于如何将公共卫生战略细化为具体的 缩小健康差距。精确复制种群动态的模拟模型，通过模拟 数百万人的运动和互动使研究人员能够了解潜在的 疾病传播的动态，并确定潜在的干预目标。这个项目将两个项目结合起来 芝加哥互补的研究人员团队构建chiSTIG，这是一种专门派生出的模拟模型 了解导致艾滋病毒差异的社会背景动态。第一支队伍，在西北大学 由美国国立卫生研究院资助，以获取关于社会制度和物理空间的丰富数据 由种族和性少数群体居住，并利用这些数据来了解社会和性 芝加哥对男男性行为者(BMSM)的年轻黑人男性的隔离导致了艾滋病毒的差异。第二 芝加哥大学/阿贡国家实验室的团队已经建立了一种非常强大的ChiSIM 基于代理的建模(ABM)框架，模拟1.2年中290万芝加哥人的交互 100万个地理位置不同的地方，以了解疾病暴发和指导干预发展。ChiSIM是一种 一个灵活的系统，已被用来了解一些传染病的预防战略。 我们建议利用现有的几个丰富的经验数据集来构建一个由chiSIM派生的模型chiSTIG，以便 它可以作为一个反事实的实验室，能够测试关于肺炎病因的相互竞争的假说。 性少数群体，特别是黑人和西班牙裔MSM在艾滋病毒方面的传染病不平等，以及潜在的 干预的途径。具体地说，框架将通过整合关于以下方面的详细数据来扩展 年，不同种族的男男性接触者利用的身体和网络第三场所以及他们的社会和性互动 芝加哥。

Project Summary Racial, ethnic, and sexual minority populations are disproportionately impacted by infectious disease, particularly HIV. Individuals at the intersection of multiple of these marginalized identities are even more likely to be impacted by HIV – especially Black and Hispanic men who have sex with men. While there is growing evidence that the day-to-day life of racial and sexual minorities differs from majority populations, there is a limited understanding of how differences in neighborhoods, differences in places where time is spent, and differences in the kinds of people connected with may impact disease spread and fuel disparities. Moreover, there is even less comprehensive understanding of how public health strategies could be refined to specifically reduce health disparities. Simulation models that accurately replicate population dynamics by simulating the movement and interaction of millions of individuals allow researchers a toolbox to understand the underlying dynamics of disease transmission and identify potential targets for intervention. This project joins two complementary teams of researchers in Chicago to build chiSTIG, a simulation model specifically derived to understand the social contextual dynamics which lead to disparities in HIV. The first team, at Northwestern University, have been funded by the NIH to capture rich data on the social systems and physical spaces inhabited by racial and sexual minorities, and have utilized these data to understand how the social and sexual isolation of young Black men who have sex with men (BMSM) in Chicago drives disparities in HIV. The second team, at the University of Chicago/Argonne National Laboratory, have built chiSIM, an extraordinarily powerful agent-based modeling (ABM) framework that simulates the interaction of 2.9 million Chicagoans across 1.2 million geo-located places to understand disease outbreaks and guide intervention development. chiSIM is a flexible system that has been used to understand prevention strategies for a number of infectious diseases. We propose to utilize several existing rich empirical datasets to build a chiSIM-derived model, chiSTIG, so that it might serve as a counterfactual laboratory able to test competing hypotheses regarding the etiology of infectious disease inequities in HIV for sexual minorities, specifically Black and Hispanic MSM, and potential routes for intervention. Specifically, the framework will be extended through the integration of detailed data on the physical and online third places utilized by and the social and sexual interactions of racially diverse MSM in Chicago.