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Improved plausibility bounds about the 2005 HIV and AIDS estimates
1Centers for Disease Control and Prevention, Atlanta, GA, USA. wmm1@cdc.gov
Sexually Transmitted Infections
|June 1, 2006
Summary
Plausibility bounds for HIV estimates help policymakers understand epidemic uncertainty. These bounds, derived from country-specific data, provide ranges for HIV incidence, prevalence, and mortality.
Area of Science:
- Epidemiology
- Public Health
- Biostatistics
Background:
- Joint United Nations Programme on HIV/AIDS (UNAIDS) and World Health Organization (WHO) provide annual HIV estimates.
- Since 2003, plausibility bounds have been reported to quantify uncertainty in HIV estimates.
- Bounds guide understanding of plausible ranges for HIV incidence, prevalence, and mortality.
Purpose of the Study:
- To develop and report updated plausibility bounds for HIV estimates.
- To base bounds on individual country surveillance and survey data.
- To refine the assessment of uncertainty in HIV epidemic magnitude.
Main Methods:
- Plausibility bounds developed for generalized epidemics, low-level/concentrated epidemics (LLC), and regions.
- Techniques built upon previous methods but utilized country-specific data.
- Data sources included surveillance and survey data from individual countries.
Main Results:
- Uncertainty bounds vary based on surveillance system quality and data availability.
- Countries with seroprevalence surveys have the tightest bounds (e.g., adult HIV prevalence ARR -18% to +19%).
- Lower quality data and fewer surveys in LLC countries lead to wider bounds (e.g., ARR -53% to +183% for poor quality data).
Conclusions:
- Plausibility bounds are scientific tools, not formal statistical confidence intervals.
- Bounds are derived using reasonable statistical approaches and assumptions.
- Understanding uncertainty aids policymakers in making informed decisions for HIV epidemic control.