Resources Repository
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ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Microsimulation | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | North America -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Microsimulation | Calibration/Validation | Health/Medicine | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Priority Setting/Ethics | Mathematical Models | Health/Medicine | Health Systems | Clinical Care | North America -
ArticlePublication 2023Cost-Effectiveness of Novel TB Vaccines: A Modeling Study
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines …
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines in 105 low- and middle-income countries (LMICs) for a range of product characteristics and delivery strategies, compared to a ‘no-new-vaccine’ counterfactual. Vaccine scenarios considered two vaccine product profiles (one targeted at infants, one at adolescents/adults), both assumed to prevent progression to active TB. Vaccine introduction was estimated to require substantial near-term resources, offset by future cost-savings from averted TB burden.…
Mathematical Models | Health/Medicine | Economics/Finance | Cost-Effectiveness Analysis | Infectious Diseases | Global -
ArticlePublication 2022Health and Financial Risk Protection Outcomes in Economic Evaluations
Extended cost-effectiveness analysis was developed to evaluate health interventions in terms of level and distribution …
Extended cost-effectiveness analysis was developed to evaluate health interventions in terms of level and distribution of health gains and financial risk protection. This information is typically presented in a joint display format. This article develops and applies an algebraic money-metric formulation that incorporates all disaggregated outcomes and finds that ranking of health interventions is sensitive to the decision maker’s aversion to inequality across income groups and that financial risk protection gains are most important to…
Priority Setting/Ethics | Health/Medicine | Economics/Finance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Global -
ArticlePublication 2022Conceptualizing Monetary Benchmarks for Health Investments toward Poverty Reduction
Public spending can improve population well-being, for example, by averting or reducing poverty. This article …
Public spending can improve population well-being, for example, by averting or reducing poverty. This article aims to conceptualize monetary benchmarks for health sector investments oriented towards poverty alleviation in low- and lower-middle-income countries. Priority setting in low- and lower-middle-income countries could be informed by health-sector PRBs (poverty reduction benchmarks), in addition to burden of disease and cost-effectiveness considerations. The computed PRBs, expressed in dollars per poverty case averted, can possibly be viewed in a manner…
Priority Setting/Ethics | Health/Medicine | Economics/Finance | Evidence Synthesis | Social Determinants | Health Systems | Global -
ArticlePublication 2022Equity Impact of Minimum Unit Pricing of Alcohol
South Africa experiences significant levels of alcohol-related harm. Recent research suggests minimum unit pricing (MUP) …
South Africa experiences significant levels of alcohol-related harm. Recent research suggests minimum unit pricing (MUP) for alcohol would be an effective policy, but high levels of income inequality raise concerns about equity impacts. This paper quantifies the equity impact of MUP on household health and finances in rich and poor drinkers in South Africa. Authors estimate MUP would reduce consumption more among the poorest than the richest drinkers. A MUP policy in South Africa has…
Priority Setting/Ethics | Health/Medicine | Economics/Finance | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Sub-Saharan Africa -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Benefit-Cost Analysis | State-Transition | Economics/Finance | Value of Information | Infectious Diseases | Policy/Regulation | North America | Europe -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Mathematical Models | Decision Analysis | Health/Medicine | Health Systems | Government/Law | Global