NEEMA Funded Projects by Topic Area – Adolescent and School Health
NEEMA 2.0 (2019-2024)
Estimating the size of sexual minority adolescent populations — at national, state and local levels— is critical for recognizing and responding to disparities in health risks and outcomes. This project uses small area estimation methods as well as the state and local Youth Risk Behavior Survey (YRBS) data to develop state- and county-level estimates of the number of adolescents who identify as sexual minorities, including those who identify as lesbian, gay, or bisexual, as well as adolescents who identify as transgender.
Teen-SPARC, an Excel-based tool developed under NEEMA 1.0, was designed to assist health departments in estimating the short-term impact of behavior change on the burden of sexually transmitted infections among sexually active high-school-attending adolescents in their jurisdictions. Teen-SPARC will be expanded to integrate additional behavior changes (e.g., delays in age at first sex), biomedical and clinical enhancements (e.g., screening, treatment, or pre-exposure prophylaxis), outcomes (e.g., pregnancy) and metrics (i.e., costs) to improve the value of this tool for health department staff.
Impact of racial and ethnic disparities among adolescents on achievement of the Ending the HIV Epidemic (EHE) goals
In 2018, youth aged 13 to 24 made up 21% (7,807) of the 37,832 new HIV diagnoses in the United States. The goal of EHE to reduce new HIV infections by 90% in 10 years, includes reducing incidence among youth. Several studies have reported that sex with older people is a key risk factor for HIV infection among young men who have sex with men (MSM), as well as a potential driver of racial and ethnic disparities. Sex with older people may also impact HIV incidence among heterosexual males and females. This modelling project focuses on capturing these complex relationships in real-world dynamic epidemic systems and on quantifying the potential benefits of different prevention strategies. An agent-based network model of HIV transmission will be used to estimate the downstream effects of improved control over HIV incidence among adults on HIV incidence among adolescents. Agent-based modeling is a computational modeling approach for simulating the actions and interactions of people or groups to assess the effects on the network as a whole. This model will also be used to estimate the level of concurrent PrEP coverage among adolescents needed to reduce incidence among adolescents by 90% over the 10-year period.