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Estimating acute viral hepatitis infections from nationally reported cases
R Monina Klevens1, Stephen Liu, Henry Roberts
1At the time of the study, all authors were with the Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STDs and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
American Journal of Public Health
|January 18, 2014
Summary
National surveillance underestimates true hepatitis A, B, and C infections. A model estimated significantly higher case numbers, providing crucial data for public health planning and prevention strategies.
Area of Science:
- Hepatology
- Infectious Diseases
- Public Health Surveillance
Background:
- National surveillance systems capture only a fraction of actual viral hepatitis cases.
- Accurate estimation of hepatitis A, B, and C infections is vital for effective public health interventions.
Purpose of the Study:
- To estimate the true incidence of acute hepatitis A, B, and C infections in 2011.
- To develop adjustment factors for underreported cases.
Main Methods:
- A probabilistic model was applied to estimate symptomatic, care-seeking, and reported cases.
- Data on symptom frequency, healthcare seeking behavior, and reporting rates were utilized.
Main Results:
- Hepatitis A: 2,730 estimated infections (2.0 per reported case).
- Hepatitis B: 18,730 estimated infections (6.5 per reported case).
- Hepatitis C: 17,100 estimated infections (12.3 per reported case), varying by transmission route.
Conclusions:
- The study provides adjustment factors to improve local estimations of hepatitis infections.
- These factors will aid state and local health authorities in planning prevention activities.
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