Resources Repository
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ArticlePublication 2017Valuing Non-Fatal Risks: Monetary and Health-Utility Measures
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent …
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent with both the preferences of affected individuals and social preferences for distribution of health risks in the population. Two classes of metrics are widely used: monetary measures (e.g., willingness to pay) and health-utility measures (e.g., quality-adjusted life years (QALYs), disability-adjusted life years (DALYs)). Health-utility measures impose more structure than monetary measures, with the result that individuals’ preferences often appear inconsistent…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis -
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 -
ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Decision Theory | Preferences/Values | Decision Analysis | Operations Research | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
ReviewPublication 2016Using Economic Evidence to Set Healthcare Priorities in LMIC
Policy makers in low-income and lower-middle-income countries (LMICs) are increasingly looking to develop ‘evidence-based’ frameworks …
Policy makers in low-income and lower-middle-income countries (LMICs) are increasingly looking to develop ‘evidence-based’ frameworks for identifying priority health interventions. This paper synthesizes and appraises the literature on methodological frameworks – which incorporate economic evaluation evidence – for the purpose of setting healthcare priorities in LMICs. A systematic search of Embase, MEDLINE, Econlit and PubMed identified 3968 articles with a further 21 articles identified through manual searching. A total of 36 papers were eligible for inclusion.…
Benefit-Cost Analysis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2016Challenges of Prioritization
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and …
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and diagnostics; in addition, the evidence base drawn on for evaluating such interventions is relatively good, given the medical research industry surrounding their testing. However, with increasing success in controlling infectious diseases, many of the health challenges facing countries concern broad threats to health with multiple causes, such as obesity, where the relationship between policy action and health benefit is not…
Benefit-Cost Analysis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Mental Health | Health Systems | Economics/Finance | Health/Medicine | Global