PROBLEM: In 2010, the Centers for Disease Control and Prevention (CDC) launched the "Enhanced Comprehensive HIV Prevention Planning" initiative, which targeted funding to the 12 U.S. metropolitan statistical areas (MSAs) with the most severe epidemics of human immunodeficiency virus infection to a) develop a plan to align each MSA's HIV prevention plan with the National HIV/AIDS Strategy (NHAS) and b) identify and implement the optimal combination of prevention services to reduce new infections. PURPOSE: This paper describes how the Maryland Department of Health and Mental Hygiene (DHMH) partnered with the Johns Hopkins Bloomberg School of Public Health (JHSPH) to conduct mathematical modeling and economic analyses to inform local planning for resource allocation and intervention design for the Baltimore-Towson MSA. KEY POINTS: The paper outlines the steps of building and implementing that analytic partnership, illustrates how results were discussed with other key stakeholders, and shows how the findings informed local priority setting. CONCLUSION: The paper demonstrates how health departments, academia, and community partners can jointly use policy modeling to improve resource allocation and address urgent public health challenges.
PROBLEM: In 2010, the Centers for Disease Control and Prevention (CDC) launched the "Enhanced Comprehensive HIV Prevention Planning" initiative, which targeted funding to the 12 U.S. metropolitan statistical areas (MSAs) with the most severe epidemics of human immunodeficiency virus infection to a) develop a plan to align each MSA's HIV prevention plan with the National HIV/AIDS Strategy (NHAS) and b) identify and implement the optimal combination of prevention services to reduce new infections. PURPOSE: This paper describes how the Maryland Department of Health and Mental Hygiene (DHMH) partnered with the Johns Hopkins Bloomberg School of Public Health (JHSPH) to conduct mathematical modeling and economic analyses to inform local planning for resource allocation and intervention design for the Baltimore-Towson MSA. KEY POINTS: The paper outlines the steps of building and implementing that analytic partnership, illustrates how results were discussed with other key stakeholders, and shows how the findings informed local priority setting. CONCLUSION: The paper demonstrates how health departments, academia, and community partners can jointly use policy modeling to improve resource allocation and address urgent public health challenges.
Authors: Evin U Jacobson; Katherine A Hicks; Justin Carrico; David W Purcell; Timothy A Green; Jonathan H Mermin; Paul G Farnham Journal: J Acquir Immune Defic Syndr Date: 2022-04-01 Impact factor: 3.771
Authors: Mary Spink Neumann; James W Carey; Stephen A Flores; Holly H Fisher; Tamika Hoyte; Nicole Pitts; Monique Carry; Arin Freeman Journal: Health Promot Pract Date: 2017-12-01