Resources Repository
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ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Mathematical Models | Calibration/Validation | Health/Medicine | Health Outcomes | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Mathematical Models | Calibration/Validation | Health/Medicine | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | North America | Graduate -
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 | Health/Medicine | Dynamic Simulation | Infectious Diseases | Health Systems | Global -
ArticlePublication 2016Cost-Effectiveness of Routine Vaccination With a Live-Attenuated Dengue Vaccine: Model Comparison
Large Phase III trials across Asia and Latin America have demonstrated the efficacy of a recombinant, …
Large Phase III trials across Asia and Latin America have demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 months following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. This paper reports predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine…
Mathematical Models | Dynamic Transmission | Health/Medicine | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Health Systems | Global Governance | Climate/Environment | Economics/Finance | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2016Identifying Cost-Effective Dynamic Policies to Control Epidemics
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. …
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. The dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. An algorithm is proposed to approximate dynamic policies that optimize the population's net health benefit, a performance measure which accounts for both health and monetary outcomes. The authors further illustrate how dynamic policies can be defined and…
Mathematical Models | Dynamic Transmission | Health/Medicine | Dynamic Simulation | Cost-Effectiveness Analysis | Infectious Diseases -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology | North America -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Mathematical Models | Calibration/Validation | Health/Medicine | Costing Methods | Evidence Synthesis | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | North America -
ArticlePublication 2014Cost-Effectiveness of Female HPV Vaccination in 179 Countries: A PRIME Modelling Study
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), …
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), used to assess cost-effectiveness and health effects of vaccination of girls against HPV before sexual debut in terms of burden of cervical cancer and mortality. The PRIME models incidence according to proposed vaccine efficacy against HPV 16/18, vaccine coverage, cervical cancer incidence and mortality, and HPV type distribution. It assumes lifelong vaccine protection and no changes to other screening programs…
Mathematical Models | Calibration/Validation | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2014Indemics: Interactive Computing Framework for Data Intensive Epidemic Modeling
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing …
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. Indemics can support policy analysts and epidemiologists interested in planning and control of pandemics. Indemics goes beyond traditional epidemic simulations by providing a way to represent and analyze policy-based as well as individual-based adaptive interventions. Users can also stop the simulation at any point, assess the state of the simulated system, and…
Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases | Science/Technology