Resources Repository
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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 | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
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 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 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Microsimulation | Mathematical Models | Calibration/Validation | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
ArticlePublication 2013Estimated Mortality Impact of Vaccinations 2011–2020 in 73 GAVI Alliance Countries
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted …
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted by the GAVI Alliance and the Bill & Melinda Gates Foundation to estimate the impact of vaccination in 73 countries supported by the GAVI Alliance. The number of deaths averted in persons projected to be vaccinated during 2011–2020 was estimated for ten antigens: hepatitis B, yellow fever, Haemophilus influenzae type B (Hib), Streptococcus pneumoniae, rotavirus, Neisseria meningitidis serogroup A, Japanese…
Microsimulation | Mathematical Models | Dynamic Transmission | Health Outcomes | State-Transition | Infectious Diseases | Global Governance | Economics/Finance | Health/Medicine | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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 | Infectious Diseases | Health/Medicine -
GuidelinesPublication 2012Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Task Force-4
This paper reports on consensus-based guidelines on the application of DES in a health care …
This paper reports on consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. Recommendations are made for…
Dynamic Simulation | Mathematical Models | Calibration/Validation | Evidence Synthesis | Health/Medicine