Resources Repository
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ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Mathematical Models | Calibration/Validation | Health/Medicine | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology | North America -
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 | Mathematical Models | Health/Medicine | State-Transition | Microsimulation | Chronic Disease/Risk -
Tutorial/PrimerPublication, Teaching Resource 2015Economic Evaluations with Agent-Based Modelling: An Introduction
This tutorial presents the basic concepts and important features of agent-based models, and provides a …
This tutorial presents the basic concepts and important features of agent-based models, and provides a case study of a simple cost effectiveness analysis of screening for an infectious disease. Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide…
Dynamic Simulation | Mathematical Models | Health/Medicine | Infectious Diseases | Graduate | Doctoral | Professional | Conceptual Mapping | Quantitative Literacy -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | Costing Methods | Evidence Synthesis | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | North America -
ArticlePublication 2014Cost-Effectiveness of Female HPV Vaccination in 179 Countries: A PRIME Modelling Study
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), …
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), used to assess cost-effectiveness and health effects of vaccination of girls against HPV before sexual debut in terms of burden of cervical cancer and mortality. The PRIME models incidence according to proposed vaccine efficacy against HPV 16/18, vaccine coverage, cervical cancer incidence and mortality, and HPV type distribution. It assumes lifelong vaccine protection and no changes to other screening programs…
Mathematical Models | Calibration/Validation | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Lesson/ModuleWeb Portal, Teaching Resource 2014Life Saving Maths: How Does Vaccination Work?
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. …
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. Through video clips, Dr. Julia Gog and Dr. Andrew Conlan explain simple mathematical models for infectious disease to illustrate the importance of immunization. Related resources, such as activities, worksheets, and presentations, are available to help students investigate the effects of vaccination. These activities are recommended to be used together but can also be used independently. They are aimed at a…
Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases | Science/Technology | Global | High School | Critical Thinking/Analysis | Quantitative Literacy -
ArticlePublication 2014Indemics: Interactive Computing Framework for Data Intensive Epidemic Modeling
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing …
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. Indemics can support policy analysts and epidemiologists interested in planning and control of pandemics. Indemics goes beyond traditional epidemic simulations by providing a way to represent and analyze policy-based as well as individual-based adaptive interventions. Users can also stop the simulation at any point, assess the state of the simulated system, and…
Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases | Science/Technology -
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…
Mathematical Models | Dynamic Transmission | Health/Medicine | Health Outcomes | State-Transition | Microsimulation | Infectious Diseases | Global Governance | Economics/Finance | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
GuidelinesPublication 2012Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Task Force-7
This paper discusses how to improve trust in the use of health care models through …
This paper discusses how to improve trust in the use of health care models through validation and transparency. Validation involves face validity (wherein experts evaluate model structure, data sources, assumptions, and results), verification or internal validity (check accuracy of coding), cross validity (comparison of results with other models analyzing same problem), external validity (comparing model results to real-world results), and predictive validity (comparing model results with prospectively observed events). Recommendations are provided for nontechnical description…
Mathematical Models | Calibration/Validation | Health/Medicine | Costing Methods | Health Outcomes