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Updated: Jul 3, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Making HIV prevention programmes work.

Stefano M Bertozzi¹, Marie Laga, Sergio Bautista-Arredondo

¹Instituto Nacional de Salud Pública, Cuernavaca, Mexico; Center for Economic Research and Testing (CIDC), Mexico City, Mexico.

Lancet (London, England)

|August 9, 2008

Summary

This summary is machine-generated.

HIV prevention programs need improvement in targeting, selection, delivery, and funding. Readily available data can enhance effectiveness despite uncertainties in intervention data and epidemiology.

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Area of Science:

Public Health
Epidemiology
Program Management

Background:

Despite 25 years of experience, HIV prevention programming shows significant deficiencies globally.
Programme managers often operate with insufficient data on intervention effectiveness and country-specific epidemiology, leading to uncertainty.

Purpose of the Study:

To identify key areas for reassessment in national HIV prevention programs.
To propose practical strategies for improving HIV prevention programming effectiveness using available information.

Main Methods:

Analysis of current global HIV prevention strategies.
Identification of four critical areas for program improvement: targeting, selection, delivery, and funding optimization.

Main Results:

HIV prevention programming requires focused efforts on improving intervention targeting, selection, and delivery.
Optimization of funding allocation is crucial for effective HIV prevention.
Readily available data can significantly enhance prevention programming effectiveness, even amidst uncertainty.

Conclusions:

National HIV prevention programs must reassess and refocus efforts on key areas to address persistent deficiencies.
Utilizing existing data is a practical approach to improve HIV prevention programming effectiveness in the short term.
Continued improvement in data generation and utilization for program planning and implementation is essential for long-term success.