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

项目摘要 种族、族裔和性少数群体受到传染病的影响不成比例， 尤其是艾滋病毒。处于多重边缘化身份交叉点的个人更有可能 受艾滋病毒影响-特别是与男性发生性关系的黑人和西班牙裔男子。虽然有越来越多的 有证据表明，种族和性别少数群体的日常生活不同于多数人口，有一个 对邻里之间的差异、时间花费地点的差异以及 与艾滋病毒/艾滋病有关的各类人的差异可能会影响疾病的传播并加剧差距。此外，委员会认为， 对于如何改进公共卫生战略， 减少健康差距。模拟模型，通过模拟 数以百万计的个体的运动和相互作用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。该项目将两个 芝加哥的研究人员组成的互补团队，建立chiSTIG，一个专门用于 了解导致艾滋病毒差异的社会背景动态。西北大学的第一支队伍 由美国国立卫生研究院资助，以获取有关社会系统和物理空间的丰富数据。 居住在种族和性少数群体，并利用这些数据来了解社会和性 在芝加哥，与男性发生性关系的年轻黑人男性（BMSM）的隔离导致了艾滋病毒感染率的差异。第二 芝加哥大学/阿贡国家实验室的一个团队已经建立了一个非常强大的chiSIM， 一个基于代理的建模（ABM）框架，模拟了120万芝加哥人的互动。 2000万个地理位置，以了解疾病的爆发和指导干预措施的制定。chiSIM是一个 这一灵活的系统已被用来了解一些传染病的预防战略。 我们建议利用几个现有的丰富的经验数据集来建立一个chiSIM衍生模型chiSTIG，以便 它可以作为一个反事实的实验室，能够测试关于病因学的竞争假设， 性少数群体感染艾滋病毒的传染病不平等，特别是黑人和西班牙裔男男性接触者， 干预路线。具体而言，该框架将通过整合以下方面的详细数据加以扩展： 物理和在线第三位所利用的和社会和性互动的种族多样化的男男性接触者， 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.