Resources Repository
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ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Decision Analysis | Calibration/Validation | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Global -
Working PaperPublication 2018Valuing Nonfatal Health Risk Reductions
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- …
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- and middle-income countries. The approach for valuation ideally would be based on estimates of individuals’ willingness to pay for changes in their own risks. However, high quality valuation research is not available for many nonfatal conditions even in high-income settings. Typically, two approaches are used either alone or in combination as rough proxies. The first involves applying an estimate of…
Preferences/Values | Decision Analysis | Priority Setting/Ethics | Health Outcomes | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Health/Medicine | Global | 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,…
Dynamic Simulation | Calibration/Validation | Microsimulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
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…
Dynamic Simulation | Calibration/Validation | Dynamic Transmission | Infectious Diseases | Health Systems | Health/Medicine | Global -
Working PaperPublication 2015Benefit-Cost Analysis and the Cities
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions …
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions undertaken at the city or municipal level. It introduces the concepts that underlie the conduct of benefit-cost analysis, describes the major analytic components, and discusses how to tailor the analysis to the characteristics of the policy and the resources available. It concludes with a list of references for those interested in learning more.
Preferences/Values | Decision Analysis | Priority Setting/Ethics | Benefit-Cost Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Culture/Society | Economics/Finance | Government/Law | North America | Critical Thinking/Analysis -
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Preferences/Values | Decision Analysis | Decision Theory | Probability/Bayes | Operations Research | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine -
ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Decision Analysis | Mathematical Models | North America -
ArticlePublication 2013Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used …
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used a disease simulation model to simulate the clinical events after six treatments (lumpectomy alone, lumpectomy with radiation, lumpectomy with radiation and tamoxifen, lumpectomy with tamoxifen, and mastectomy with and without breast reconstruction). Outcomes included disease-free, invasive disease-free, overall survival and breast preservation. Data were from the published literature. The results showed that for women aged 45 years at diagnosis, both mastectomy…
Decision Analysis | Health Outcomes | Clinical Care | Health/Medicine -
ArticlePublication 1984Using Fire in Forest Management: Decision Making under Uncertainty
Prescribed fires are fires that are started under controlled conditions. This is an important strategy …
Prescribed fires are fires that are started under controlled conditions. This is an important strategy used by professionals in modern forest management. Designing, planning, and executing strategies that rely on prescribed fires is challenging because of multiple uncertainties (e.g., weather, fire behavior, etc.). In this paper, decision analysis techniques are used to evaluate prescribed fire decisions in three national forest case study applications.
Decision Analysis | Environmental Health | Climate/Environment