Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 2017Bayesian Methods for Calibrating Health Policy Models: A Tutorial
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical …
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical basis for Bayesian calibration approaches as well as pragmatic considerations that arise in the tasks of creating calibration targets, estimating the posterior distribution, and obtaining results to inform the policy decision. These considerations, as well as the specific steps for implementing the calibration, are described in the context of an extended worked example about the policy choice to provide (or…
Calibration/Validation | Infectious Diseases | Health/Medicine -
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,…
Calibration/Validation | Microsimulation | Dynamic Simulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ReviewPublication 2017Validation and Calibration of Structural Models that Combine Information from Multiple Sources
This is a review of calibration and validation methods in mathematical modeling. Such models that …
This is a review of calibration and validation methods in mathematical modeling. Such models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. The authors provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves…
Calibration/Validation | Mathematical Models | Health/Medicine -
ArticlePublication 2016Economic Evaluation: Bibliometric Analysis of Recent Literature
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects …
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects critically on the implications of the findings. The authors created a database drawing on 14 health, economic, and/or general literature databases for articles published between 1 January 2012 and 3 May 2014 and identified 2844 economic evaluations. They examined the distribution of publications between countries, regions, and health areas studied and compared the relative volume of research with disease burden.…
Benefit-Cost Analysis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Science/Technology | Global -
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 | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Health Systems | Health/Medicine | Global -
GuidelinesPublication 2017Guidelines for Regulatory Impact Analysis: A Primer
This “Frequently Asked Question” style document gives a brief overview of Regulatory Impact Analysis (RIA), …
This “Frequently Asked Question” style document gives a brief overview of Regulatory Impact Analysis (RIA), a method used by the US government to assess the consequences of proposed policies and their alternatives. The document is aimed at those who are new to the topic. RIAs apply a framework for collecting, organizing, and evaluating data. They help ensure that regulatory actions are justified and necessary to achieve social goals, and that these actions are implemented in the…
Benefit-Cost Analysis | Business/Industry | Government/Law | North America -
Resource PackPublication, Teaching Resource 2017Resource Pack: Disease Control Priorities
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced …
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced by the Disease Control Priorities 3 (DCP3) to inform program design and resource allocation at the global and country levels. Analyses focus on the effectiveness, cost, and cost-effectiveness of priority interventions. Learn more by visiting the DCP3 website.
Benefit-Cost Analysis | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Economics/Finance | Health/Medicine | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ArticlePublication 2016Estimating Benefits of Regulations Affecting Addictive Goods
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There …
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There are clear health benefits of regulations that curb consumption of goods with health risks, such as tobacco products and foods high in fats, calories, sugar, and sodium. Yet, if regulations cause consumers to give up goods they like, the health benefits they experience may be offset by some utility loss, which benefit−cost analyses of regulations need to take into account.…
Benefit-Cost Analysis | Decision Theory | Preferences/Values | Mental Health | Health/Medicine -
Lesson/ModulePublication, Teaching Resource 2016Surviving the Surge
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. …
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. It focuses on decisions made by each institution, as Sandy approached, about whether to shelter-in-place or evacuate hundreds of medically fragile patients, and how each of the three hospitals took a different approach, informed by differing perceptions of risk and related factors. The case will be useful for public health students and administrators in understanding decision-making in settings of an…
Risk Analysis | Decision Analysis | Injuries/Accidents | Social Determinants | Environmental Health | Business/Industry | Climate/Environment | Health/Medicine | North America | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership