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…
Calibration/Validation | Infectious Diseases | Dynamic Transmission | Dynamic Simulation | Health Systems | Health/Medicine | Global -
Teaching PackWeb Portal, Teaching Resource 2018Teaching Pack: Teaching Prototypes for Decision Analysis
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for …
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for Health Decision Science (CHDS) Media Hub, reflect experiments to augment brick and mortar teaching with multimedia materials that emphasize visualization of basic concepts. The first video introduces decision making under uncertainty, and illustrates the use of probability and odds to quantitatively express uncertainty. The second and third videos introduce probability revision visually and analytically, showing how an initial probability is…
Value of Information | Chronic Disease/Risk | Probability/Bayes | Test Performance | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
OrganizationWeb Portal 2024Global Health Cost Consortium
The Global Health Cost Consortium (GHCC) is a new three-year initiative funded by the Bill …
The Global Health Cost Consortium (GHCC) is a new three-year initiative funded by the Bill and Melinda Gates Foundation to provide decision-makers with improved resources to estimate the costs of HIV and tuberculosis (TB) programs. GHCC’s goal is to increase the efficiency and effectiveness of HIV and TB prevention and treatment, and drive greater value for money of investments to tackle HIV and TB in low and middle-income countries, by improving the availability, quality, timing, and…
Benefit-Cost Analysis | Infectious Diseases | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Global -
Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Calibration/Validation | Infectious Diseases | Mathematical Models | Dynamic Transmission | Dynamic Simulation | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Policy/Regulation | Climate/Environment | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
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…
Calibration/Validation | Chronic Disease/Risk | Evidence Synthesis | Mathematical Models | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015Broader Economic Impact of Vaccination: Reviewing and Appraising the Strength of Evidence
Economic evaluations of public health programs such as immunization often consider only direct health benefits and …
Economic evaluations of public health programs such as immunization often consider only direct health benefits and medical cost savings. Evidence linking immunization to important benefits in indicators such as childhood development, household behavior, and other macro-economic data are unclear. A conceptual framework of the pathways between immunization and these broader economic benefits was developed through expert consultation. The authors obtained articles from previous reviews, snowballing, and expert consultation, and associated them with one of the pathways and assessed them using modified Grading…
Benefit-Cost Analysis | Infectious Diseases | Preferences/Values | Priority Setting/Ethics | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Social Determinants | Economics/Finance | Education/Labor | Health/Medicine -
ArticlePublication 2015Valuing Regulations Affecting Addictive or Habitual Goods
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies …
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies have suggested that such regulations have only small welfare benefits, as consumers value these goods despite health benefits from quitting, while other studies suggest that information or behavioral problems make existing consumption decisions a poor guide to welfare evaluation. This analysis examines potential utility offsets to health benefits of regulations affecting addictive or habitual goods theoretically and empirically. The paper…
Benefit-Cost Analysis | Chronic Disease/Risk | Preferences/Values | Social Determinants | Policy/Regulation | Culture/Society | Economics/Finance | Health/Medicine | North America -
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…
Calibration/Validation | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
Tutorial/PrimerPublication, Teaching Resource 2015Calibration of Complex Models through Bayesian Evidence Synthesis: A Tutorial
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to …
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to calibrate the parameters of a complex model. To illustrate these methods, the authors demonstrate how a previously developed Markov model for the progression of human papillomavirus (HPV-16) infection was rebuilt in a Bayesian framework. Transition probabilities between states of disease severity are inferred indirectly from cross-sectional observations of prevalence of HPV-16 and HPV-16–related disease by age, cervical cancer incidence, and…
Calibration/Validation | Infectious Diseases