Leveraging Networks, Epidemiology, and Epidemic Modeling: Creative Approaches for HIV Elimination

利用网络、流行病学和流行病模型:消除艾滋病毒的创造性方法

基本信息

  • 批准号:
    10673665
  • 负责人:
  • 金额:
    $ 18.95万
  • 依托单位:
  • 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:
    2019-08-15 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

Abstract New HIV infections in the U.S. are beginning to decline, but marginalized groups such as substance using populations continue to experience new infections. Individuals with acute and early HIV (AEH) and those who are HIV infected, but out of care, are key drivers of ongoing transmission. Biological interventions such as pre-exposure prophylaxis (PrEP) that reduces HIV acquisition by >90% can curtail transmission, but marginalized groups have low utilization rates. Social network factors have been noted as contributing to the difference in rates of HIV acquisition. Public health departments traditionally used contact tracing (asking newly HIV diagnosed clients to identify their sex or drug contacts) to identify individuals who are unaware of their HIV infection, but this information is often incomplete due to underreporting. Experts are now turning toward molecular network data (individuals linked by similar HIV-1 pol sequences) in conjunction with contact tracing information for HIV epidemic response. While informative, sampling challenges limit the reliance on these sources alone for making inferences about HIV transmission. Social network data, in contrast, are more complete than sexual contact data and often include substance use and sexual partners in networks. Despite indication of the benefits of combining these data, little research has been conducted on how they can be integrated for HIV prevention and care. The overall goal of this project is to better understand the complex and overlapping social and molecular network dynamics involved in HIV transmission in order to more effectively prioritize interventions to reduce HIV incidence.
摘要

项目成果

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Britt Skaathun其他文献

Britt Skaathun的其他文献

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{{ truncateString('Britt Skaathun', 18)}}的其他基金

Opportunities for HIV PrEP engagement using interconnected social and molecular network data through the characterization of high-risk Neisseria gonorrhoeae clusters
通过高风险淋病奈瑟菌群的特征分析,利用相互关联的社会和分子网络数据进行艾滋病毒接触预防的机会
  • 批准号:
    10403393
  • 财政年份:
    2022
  • 资助金额:
    $ 18.95万
  • 项目类别:
Opportunities for HIV PrEP engagement using interconnected social and molecular network data through the characterization of high-risk Neisseria gonorrhoeae clusters
通过高风险淋病奈瑟菌群的特征分析,利用相互关联的社会和分子网络数据进行艾滋病毒接触预防的机会
  • 批准号:
    10611506
  • 财政年份:
    2022
  • 资助金额:
    $ 18.95万
  • 项目类别:
Social networks and STIs as an indicator of potential HIV transmission and acquisition among PWID
社交网络和性传播感染是吸毒者中潜在艾滋病毒传播和感染的指标
  • 批准号:
    10548693
  • 财政年份:
    2022
  • 资助金额:
    $ 18.95万
  • 项目类别:
Social networks and STIs as an indicator of potential HIV transmission and acquisition among PWID
社交网络和性传播感染是吸毒者中潜在艾滋病毒传播和感染的指标
  • 批准号:
    10682480
  • 财政年份:
    2022
  • 资助金额:
    $ 18.95万
  • 项目类别:
Leveraging Networks, Epidemiology, and Epidemic Modeling: Creative Approaches for HIV Elimination
利用网络、流行病学和流行病模型:消除艾滋病毒的创造性方法
  • 批准号:
    10213684
  • 财政年份:
    2019
  • 资助金额:
    $ 18.95万
  • 项目类别:
Leveraging Networks, Epidemiology, and Epidemic Modeling: Creative Approaches for HIV Elimination
利用网络、流行病学和流行病模型:消除艾滋病毒的创造性方法
  • 批准号:
    10450822
  • 财政年份:
    2019
  • 资助金额:
    $ 18.95万
  • 项目类别:

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