Resources Repository
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ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Dynamic Simulation | Calibration/Validation | Dynamic Transmission | Health/Medicine | Infectious Diseases | Health Systems | Global -
ArticlePublication 2016Identifying Cost-Effective Dynamic Policies to Control Epidemics
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. …
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. The dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. An algorithm is proposed to approximate dynamic policies that optimize the population's net health benefit, a performance measure which accounts for both health and monetary outcomes. The authors further illustrate how dynamic policies can be defined and…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases | Cost-Effectiveness Analysis -
GuidelinesPublication 2012Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Task Force-5
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible …
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible nature of communicable diseases is what sets them apart from other diseases modeled by health economists. The probability of a susceptible individual becoming infected at any one point in time (the force of infection) is related to the number of infectious individuals in the population, will change over time, and will feed back into the future force of infection. These…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases -
ArticlePublication 2011Dynamic Policies for Controlling Spread of Emerging Infections
This paper illustrates the design and implementation of a dynamic health policy for the control …
This paper illustrates the design and implementation of a dynamic health policy for the control of a novel strain of influenza, where two types of interventions are assumed to be available during the epidemic: (1) vaccines and antiviral drugs, and (2) transmission reducing measures, such as social distancing or mask use, that may be turned "on" or "off" repeatedly during the course of epidemic. A modeling approach is described for developing dynamic health policies that allow…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases | Health Systems | Policy/Regulation | Science/Technology | Global -
ArticlePublication 2010Model Uncertainty in Economic Evaluation of Health Interventions: Rotavirus Vaccination in Vietnam
Motivated by observed discrepancies between 2 published studies on the cost-effectiveness of rotavirus vaccination in …
Motivated by observed discrepancies between 2 published studies on the cost-effectiveness of rotavirus vaccination in Vietnam, the authors' objectives were to illustrate a specific, systematic approach to assessing model (structure and process) uncertainty and to quantify explicitly the contributions of different sources of variation in the outputs of different studies that share the same research question. On the basis of a series of working definitions of key model elements, the authors developed 5 alternative computer…
Mathematical Models | Calibration/Validation | State-Transition | Health/Medicine | Infectious Diseases | Cost-Effectiveness Analysis | Economics/Finance | Asia & Pacific -
ArticlePublication 2024Hepatitis C Elimination in Rwanda: Progress, Feasibility, Economic Evaluation
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis …
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis C virus (HCV) and identifies strategies to achieve World Health Organization (WHO) elimination goals by 2030. Employing a microsimulation model spanning 2015 to 2050, the analysis assesses HCV epidemic trends, prevalence, mortality, and total care costs under various scenarios. Results show that between 2018 and 2022, over 7 million people were screened and 60,000 treated, projecting Rwanda's potential achievement of…
Microsimulation | Health/Medicine | Chronic Disease/Risk | Infectious Diseases | Sub-Saharan Africa -
ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
Mathematical Models | State-Transition | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | North America -
ArticlePublication 2023Designing Guidelines for Those Who Do Not Follow Them: Impact of Adherence Assumptions on Optimal Screening Guidelines
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer …
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer screening guidelines. Using a microsimulation model of cervical carcinogenesis, the researchers projected long-term health and economic outcomes for 18 screening algorithms under various adherence scenarios. These included perfect adherence, eight high- and low-coverage "random-complier" scenarios, and three "systematic-complier" scenarios reflecting conditional screening behavior over a lifetime. Results showed that perfect adherence favored the least intensive screening strategy, while any level…
Microsimulation | Mathematical Models | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Microsimulation | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | North America