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Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
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Optimizing HIV Prevention Efforts to Achieve EHE Incidence Targets.

Evin U Jacobson1, Katherine A Hicks2, Justin Carrico2

  • 1Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA; and.

Journal of Acquired Immune Deficiency Syndromes (1999)
|February 24, 2022
PubMed
Summary

Increased funding for HIV prevention and treatment can significantly reduce new HIV infections. Optimizing resource allocation early in the Ending the HIV Epidemic initiative is crucial to meet ambitious national goals.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Economics

Background:

  • The Ending the HIV Epidemic (EHE) initiative aims to decrease new HIV infections by 75% in 5 years and 90% in 10 years.
  • A resource allocation analysis was conducted to identify strategies for achieving EHE goals.

Purpose of the Study:

  • To analyze current HIV intervention funding and model the impact of increased and optimized resource allocation.
  • To determine the necessary funding levels and allocation strategies to meet EHE targets.

Main Methods:

  • Estimated current annual societal funding for 14 HIV prevention and treatment interventions.
  • Developed scenarios for optimizing and reallocating $2.8 billion/year in funding.
  • Analyzed the impact of additional EHE funding from 2021-2030 on projected HIV incidence.

Main Results:

  • Without optimization, increased funding alone could reduce annual HIV incidence by 80% by 2030 (36,000 to 7,600 cases).
  • With optimized funding starting in 2023, projected annual incidence could decrease to 2,200 cases by 2030.
  • Significant increases in resources, even without optimization, show substantial reductions in new HIV infections.

Conclusions:

  • Achieving both EHE targets necessitates optimized prevention funding early in the initiative.
  • Flexibility in funding allocation across agencies is required for efficient implementation.
  • Substantial resource increases can lead to an 80% reduction in HIV incidence, but optimization is key for maximum impact.