Resources Repository
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ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Microsimulation | Decision Analysis | Mathematical Models | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Global -
ArticlePublication 2018Should We Treat Acute Hepatitis C? A Decision and Cost-Effectiveness Analysis
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared …
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared to deferring treatment until the chronic phase, utilizing a microsimulation model. By projecting long-term outcomes such as quality-adjusted life years (QALYs) and costs, the analysis evaluates the cost-effectiveness of initiating therapy during the acute phase. Results indicate that treating acute HCV increases QALYs by 0.02 and costs by $483 per patient not at risk of transmitting HCV, yielding an incremental…
Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | North America -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Dynamic Transmission | Chronic Disease/Risk | Social Determinants | Environmental Health | Health Systems | Climate/Environment | Culture/Society | Health/Medicine -
ArticlePublication 2016Combining Microsimulation and Agent-Based Modeling
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population …
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population dynamics. Microsimulation describes the population dynamics at the individual level, and actions conducted by the individuals are generated by stochastic processes. An emerging method is the agent-based model, which focuses on the interactions among individuals and expects to see unexpected situations created from the interactions. In the proposed hybrid model, the microsimulation model takes a role to depict how an…
Dynamic Simulation | Microsimulation | Mathematical Models | Asia & Pacific -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Dynamic Transmission | Infectious Diseases | Global Governance | Government/Law | Health/Medicine | Military/Defense | Global -
ReviewPublication 2015Decision-Analytic Modeling Studies of Multiple Myeloma
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma …
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma and is based on a systematic literature search to identify studies evaluating treatment strategies using mathematical decision-analytic models. Studies were included that assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Eleven decision-analytic modeling studies met inclusion criteria. Five different modeling approaches were adopted: decision-tree modeling, Markov state-transition modeling, discrete event simulation, partitioned-survival analysis and…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Chronic Disease/Risk | Health/Medicine -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Energy/Engineering | Health/Medicine | Military/Defense | Science/Technology -
ArticlePublication 2012Modeling the Risks and Benefits of Depression Treatment for Children and Young Adults
This article, published in Value in Health, presents a discrete event simulation model to quantify …
This article, published in Value in Health, presents a discrete event simulation model to quantify the trade-offs with respect to clinical benefits and the risk of fatal and non-fatal suicidal behavior of alternative treatment strategies for a U.S. pediatric population with major depressive disorder. The authors evaluate treatment strategies including: selective serotonin reuptake inhibitors (SSRIs), cognitive behavioral therapy (CBT), and a combination of both. The results show that the use of SSRIs is associated with…
Microsimulation | Technology Assessment | Health Outcomes | Mental Health | Health/Medicine | North America