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Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data

利用地理空间数据预防弱势群体和受侮辱群体中的艾滋病毒

基本信息

批准号：
10688069
负责人：
Neal D Goldstein
金额：
$ 11.56万
依托单位：
DREXEL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10688069
关键词：
AIDS prevention Acquired Immunodeficiency Syndrome Area Attention Award Behavior Behavioral Censuses Characteristics Communities Complement Complex Data Disease Epidemic Epidemiologic Monitoring Epidemiology Exhibits Exposure to Failure Geographic Information Systems Geographic Locations Geography Goals Guide prevention HIV HIV Seropositivity HIV risk HIV/AIDS Incidence Individual Individual Differences Infection Intervention Joints Location Measurement Measures Methods Minority Modeling Neighborhoods Network-based Pattern Persons Philadelphia Policies Population Prevalence Prevention strategy Public Health Recommendation Research Resolution Resources Risk Risk Estimate Risk Factors Science Services Sexual Partners Social Network Socialization Stigmatization Surveillance Program System Techniques Training Training Programs Viral Load result Viremia Virus Vulnerable Populations Work contextual factors disorder prevention dynamic system epidemiologic data epidemiology study follow-up health disparity heuristics improved innovation insight men who have sex with men models and simulation novel pre-exposure prophylaxis prevention service programs prophylactic public health priorities response screening services sex sexual HIV transmission skills social surveillance data systematic review transmission process treatment services

项目摘要

HIV remains a global public health priority and occurs disproportionality among minority and stigmatized populations such as men who have sex with men (MSM). The occurrence of HIV is not random in the population, rather it exhibits patterns by individual and contextual factors. Is it the contextual factors, such as the neighborhood where one lives, socializes, or engages in sex, that is the focus of the proposed research. This proposed program of training and research examines the geospatial features of HIV using epidemiological data and analyses. The overarching goal is to improve the epidemiology of studying HIV by incorporating geospatial measures into HIV risk models through three areas. First, opportunities exist to tailor and refine existing HIV surveillance programs towards the most vulnerable groups using contextual determinants of risk. A second opportunity is to improve the validity of geospatial analyses through more accurate measurement and correct quantification of the spatial unit. A final opportunity is to improve risk quantification and reduce biased inference by applying spatial features of disease distribution to studying HIV risk. Taken together, attention to these three insights can improve HIV surveillance and epidemiology to guide prevention services. This project utilizes Philadelphia Department of Public Health’s AIDS Activities Coordinating Office surveillance data of people living with HIV/AIDS in Philadelphia in conjunction with data obtained via systematic review. Research questions to be answered include the optimal placement of HIV screening services in Philadelphia, the most appropriate choice of contextual unit to analyze spatial data (e.g., neighborhood, ZIP code, census tract), and the impact of sexual networks based upon geographic location of partner selection. Analyses will include advanced geospatial methods, hierarchical regression modeling, and agent-based simulation models. Follow-up work will include joint systems dynamic and agent-based models with a focus on health disparities in HIV. The proposed research will be complemented by experiential and didactic training in (1) geographic information systems and spatial analysis of epidemiologic data, (2) systems science and health disparities, and (3) epidemiological surveillance systems with a focus on HIV surveillance. This research and training will enable a program of independent research on the contextual factors relating neighborhood and HIV transmission and infection among vulnerable and stigmatized populations.

艾滋病毒仍然是全球公共卫生的优先事项，在少数群体中出现不成比例的情况，并被污名化男男性行为者(MSM)等人群。艾滋病毒在人群中的发生并不是随机的，相反，它表现出个人和背景因素的模式。是不是上下文因素，比如一个人居住、社交或从事性行为的社区，这是拟议研究的重点。这拟议的培训和研究方案利用流行病学数据和分析。总体目标是通过纳入地理空间来改善艾滋病毒研究的流行病学通过三个领域将艾滋病毒风险模型纳入衡量标准。首先，存在调整和改进现有艾滋病毒的机会使用环境风险决定因素对最脆弱群体的监测方案。一秒钟机会是通过更准确的测量和校正来提高地理空间分析的有效性空间单位的量化。最后一个机会是改进风险量化，减少有偏见的推断通过应用疾病分布的空间特征来研究HIV风险。综上所述，请注意这三个洞察力可以改善艾滋病毒监测和流行病学，以指导预防服务。该项目利用费城公共卫生部艾滋病活动协调办公室的监测与通过系统审查获得的数据相结合的费城艾滋病毒/艾滋病患者数据。有待回答的研究问题包括费城艾滋病毒筛查服务的最佳位置，选择最合适的上下文单位来分析空间数据(例如，邻域、邮政编码、人口普查区域)，以及性网络对伴侣选择的地理位置的影响。分析将包括高级地理空间方法、分层回归建模和基于代理的仿真模型。后续工作将包括联合系统、动态和以代理人为基础的模型，重点是艾滋病毒的健康差异。拟议的研究将辅之以(1)地理信息方面的经验和传授培训流行病学数据的系统和空间分析，(2)系统科学和健康差异，以及(3) 以艾滋病毒监测为重点的流行病学监测系统。这项研究和培训将使与邻居和艾滋病毒传播有关的背景因素独立研究方案易受伤害和被污名化的人群中的感染。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Accessibility of HIV Services in Philadelphia: Location-Allocation Analysis.

DOI：
10.1016/j.amepre.2022.06.011
发表时间：
2022-12
期刊：
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
影响因子：
5.5
作者：
Webster, Jessica L.;Thorpe, Lorna E.;Duncan, Dustin T.;Goldstein, Neal D.
通讯作者：
Goldstein, Neal D.

On the Convergence of Epidemiology, Biostatistics, and Data Science.

关于流行病学，生物统计学和数据科学的收敛。

DOI：
10.1162/99608f92.9f0215e6
发表时间：
2020
期刊：
Harvard data science review
影响因子：
0
作者：
Goldstein ND;LeVasseur MT;McClure LA
通讯作者：
McClure LA

Alignment of Ending the HIV Epidemic Priority Jurisdictions With Availability of HIV Service Organizations: An Ecological Study.

结束艾滋病毒流行优先管辖区与艾滋病毒服务组织的可用性的结合：一项生态学研究。

DOI：
10.1521/aeap.2023.35.4.320
发表时间：
2023
期刊：
AIDS education and prevention : official publication of the International Society for AIDS Education
影响因子：
0
作者：
Webster,JessicaL;Rafalko,Nicole;Thorpe,LornaE;Duncan,DustinT;Gracely,EdJ;Goldstein,NealD
通讯作者：
Goldstein,NealD

Geolocation to Identify Online Study-Eligible Gay, Bisexual, and Men who have Sex with Men in Philadelphia, Pennsylvania.

通过地理定位来识别宾夕法尼亚州费城符合在线研究资格的同性恋、双性恋和男男性行为者。