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

通过模拟建模来理解和解决种族、民族和性别少数群体中的艾滋病毒差异

基本信息

批准号：
10011153
负责人：
Michelle Birkett
金额：
$ 41.3万
依托单位：
NORTHWESTERN UNIVERSITY AT CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-02 至 2023-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10011153
关键词：
Address Affect Centers for Disease Control and Prevention (U.S.)Chicago Church Cities Communicable Diseases Communities Complex Data Data Set Disease Disease Outbreaks Distal Ebola Etiology Fostering Funding Geography Grouping HIV Hispanics Home environment Homophobia Household Individual Infection Intervention Laboratories Lead Lesbian Gay Bisexual Transgender Life Minority Modeling Movement Nature Neighborhoods Pathway interactions Pattern Phase Population Population Dynamics Prevention Prevention strategy Public Health Research Research Personnel Resources Risk Route Social Interaction Social Work Structure System Testing Time United States National Institutes of Health Universities Workplace base black men who have sex with men disease transmission disparity reduction ethnic minority population flexibility health disparity men who have sex with men methicillin resistant Staphylococcus aureus models and simulation novel population based preference racial and ethnic racial difference racial diversity racial minority racism segregation sexual minority simulation social social structure sociologist therapy development transmission process

项目摘要

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.

项目概要种族、族裔和性别少数群体受到传染病的影响尤为严重，尤其是处于多种边缘化身份交叉点的个体更有可能感染艾滋病毒。受到艾滋病毒的影响，尤其是与男性发生性关系的黑人和西班牙裔男性，而这种情况正在不断增加。有证据表明，多数种族和性少数群体的日常生活与一般人群不同，对社区差异、消磨时间地点差异的了解有限，相关人群的差异可能会影响疾病传播并加剧差异。关于如何完善公共卫生战略以适应具体情况的问题甚至更不全面通过模拟人口动态来减少健康差异。数百万个人的运动和互动为研究人员提供了一个了解潜在因素的工具箱该项目将两个项目结合起来。芝加哥的互补研究团队构建了 chiSTIG，这是一个专门派生的模拟模型了解导致艾滋病毒差异的社会背景动态第一个团队，来自西北大学。大学，由 NIH 资助，捕获有关社会系统和物理空间的丰富数据居住着种族和性少数群体，并利用这些数据来了解社会和性行为如何芝加哥对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。芝加哥大学/阿贡国家实验室的团队构建了 chiSIM，这是一个非常强大的基于代理的建模 (ABM) 框架，模拟 290 万芝加哥人跨 1.2 的交互 chiSIM 是一个用于了解疾病爆发并指导干预措施开发的全球定位点。灵活的系统已被用来了解许多传染病的预防策略。我们建议利用几个现有的丰富经验数据集来构建 chiSIM 派生模型 chiSTIG，以便它可以作为一个反事实实验室，能够测试有关病因学的相互竞争的假设性少数群体（特别是黑人和西班牙裔男男性接触者）在艾滋病毒方面的传染病不平等，以及潜在的具体来说，该框架将通过整合详细数据来扩展。不同种族的 MSM 使用的实体和在线第三场所以及社交和性互动芝加哥。