Resources Repository
-
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 -
ArticlePublication 2020Impact of Treatment and Imaging Modalities on 5-Year Net Survival of 11 Cancers in 200 Countries
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 …
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 countries/territories for 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). The paper estimated current 5-year net survival for diagnosed cancers in each country and potential survival gains from increasing the availability of individual treatment and imaging modalities, and more comprehensive packages of scale-up. Global 5-year net survival for all 11 cancers (combined) is…
Priority Setting/Ethics | Calibration/Validation | Health Outcomes | Microsimulation | Chronic Disease/Risk | Health Systems | Global -
ArticlePublication 2022Priority Setting in Early Childhood Development: An Analytical Framework
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences …
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences for education, labor market outcomes, and other domains of well-being. Even though many ECD interventions are implemented and evaluated globally, there is currently no standardized framework for comparing these interventions’ relative cost-effectiveness. The investigators developed an economic evaluation framework that focuses on the immediate impact of ECD interventions targeting motor, cognitive, language, and socioemotional skills. They applied the framework to compute…
Priority Setting/Ethics | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Global -
ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Priority Setting/Ethics | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine | Asia & Pacific -
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 -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Decision Analysis | Calibration/Validation | Mathematical Models | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | 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