Resources Repository
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ArticlePublication 2014Rise and Fall of HIV in High-Prevalence Countries: A Challenge for Mathematical Modeling
Several countries with generalized, high-prevalence HIV epidemics, mostly in sub-Saharan Africa, have experienced rapid declines …
Several countries with generalized, high-prevalence HIV epidemics, mostly in sub-Saharan Africa, have experienced rapid declines in transmission. These HIV epidemics, often with rapid onsets, have generally been attributed to a combination of factors related to high-risk sexual behavior. The subsequent declines in these countries began prior to widespread therapy or implementation of any other major biomedical prevention. This change has been construed as evidence of behavior change, often on the basis of mathematical models, but…
Mathematical Models | Infectious Diseases | Health Outcomes | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2013Validation and Calibration of a Simulation Model of Pediatric HIV Infection
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of …
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of Preventing AIDS Complications (CEPAC) model framework. This CEPAC-Pediatric model was then validated by varying CD4 data and comparing the corresponding model-generated survival curves to empirical survival curves obtained from the International Epidemiologic Database to Evaluate AIDS (IeDEA). The model was calibrated to other African countries by systematically varying immunologic and HIV mortality-related input parameters. In the calibration analyses, the model-generated…
Microsimulation | Infectious Diseases | Calibration/Validation | Child/Nutrition | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2010Empirically Evaluating Decision-Analytic Models
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors …
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors developed a structured reporting format for model evaluation and conducted a structured literature review to characterize current model evaluation recommendations and practices. As an illustration, they applied the reporting format to evaluate a microsimulation of human papillomavirus and cervical cancer. The model's outputs and uncertainty ranges were compared with multiple outcomes from a study of long-term progression from high-grade precancer…
Microsimulation | Infectious Diseases | Calibration/Validation | Chronic Disease/Risk | Health/Medicine | North America -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Microsimulation | Infectious Diseases | Calibration/Validation | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Mathematical Models | Infectious Diseases | State-Transition | Calibration/Validation | Chronic Disease/Risk | Health/Medicine | North America