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:10543985
- 负责人:
- 金额:$ 40.1万
- 依托单位:
- 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 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectBlack raceChicagoChurchCitiesCommunicable DiseasesCommunitiesComplexDataData SetDiseaseDisease OutbreaksDisparityDistalEbolaEtiologyFosteringFriendsFundingGeographyGroupingHIVHIV disparitiesHispanicHomeHomophobiaHouseholdIndividualInequityInfectionInfluenzaInterventionLaboratoriesLesbian Gay Bisexual TransgenderLifeMinority GroupsModelingMovementNatureNeighborhoodsPathway interactionsPatternPersonsPhasePopulationPopulation DynamicsPreventionPrevention strategyPublic HealthRaceRacial SegregationReduce health disparitiesResearchResearch PersonnelResourcesRiskRouteShapesSocial EnvironmentSocial InteractionSocial WorkSystemTestingTimeUnited States National Institutes of HealthUniversitiesWorkplaceblack men who have sex with mendisease disparitydisease transmissiondisparity reductionethnic minorityethnic minority populationflexibilityhealth disparity populationsmarginalizationmarginalized populationmen who have sex with menmethicillin resistant Staphylococcus aureusmodel buildingmodels and simulationnovelpopulation basedpreferenceracial differenceracial disparityracial diversityracial minorityracismsexual minoritysexual minority groupsimulationsocialsociologisttherapy developmenttransmission 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.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Michelle Birkett其他文献
Michelle Birkett的其他文献
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{{ truncateString('Michelle Birkett', 18)}}的其他基金
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10426189 - 财政年份:2020
- 资助金额:
$ 40.1万 - 项目类别:
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
- 批准号:
10320072 - 财政年份:2020
- 资助金额:
$ 40.1万 - 项目类别:
Developing and Testing a Social Network Data Capture Tool to Improve Partner Services
开发和测试社交网络数据捕获工具以改进合作伙伴服务
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10222638 - 财政年份:2020
- 资助金额:
$ 40.1万 - 项目类别:
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
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- 资助金额:
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Enabling cloud deployment of a network data capture tool to improve Partner Services
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- 资助金额:
$ 40.1万 - 项目类别:
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10082089 - 财政年份:2020
- 资助金额:
$ 40.1万 - 项目类别:
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
- 批准号:
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- 资助金额:
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netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research
netCanvas:开发、强化和传播用于收集 HIV 和药物研究中复杂网络和上下文数据的软件套件
- 批准号:
9306043 - 财政年份:2016
- 资助金额:
$ 40.1万 - 项目类别:
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