Resources Repository
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ArticlePublication 2019Assessment of the Feasibility and Cost of Hepatitis C Elimination in Pakistan
This study investigates the feasibility and cost of hepatitis C virus (HCV) elimination in Pakistan …
This study investigates the feasibility and cost of hepatitis C virus (HCV) elimination in Pakistan using a decision analytical model and microsimulation techniques from 2015 to 2030. Various scenarios, including the status quo and seven elimination strategies, were evaluated based on Pakistan-specific variables. Main outcomes included trends in HCV prevalence, mortality, disability-adjusted life-years, and total costs of HCV care. Results suggest that to achieve HCV elimination by 2030, significant scale-up of testing and treatment is…
Decision Analysis | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Asia & Pacific -
ArticlePublication 2018Should We Treat Acute Hepatitis C? A Decision and Cost-Effectiveness Analysis
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared …
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared to deferring treatment until the chronic phase, utilizing a microsimulation model. By projecting long-term outcomes such as quality-adjusted life years (QALYs) and costs, the analysis evaluates the cost-effectiveness of initiating therapy during the acute phase. Results indicate that treating acute HCV increases QALYs by 0.02 and costs by $483 per patient not at risk of transmitting HCV, yielding an incremental…
Decision Analysis | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | North America -
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…
Decision Analysis | Preferences/Values | Priority Setting/Ethics | Health Outcomes | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Critical Thinking/Analysis -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Decision Analysis | Dynamic Transmission | Risk Analysis | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
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 -
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 -
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.…
Decision Theory | Preferences/Values | Benefit-Cost Analysis | Mental Health | Health/Medicine -
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 | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
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.
Decision Analysis | Preferences/Values | 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