Resources Repository
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ReviewPublication 2017Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical …
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical modeling has responded over time to additional empirical evidence in order to address policy questions related to prevention of chlamydia infection. The authors reviewed published chlamydia models to understand the range of approaches used for policy analyses and how the studies have responded to developments in the field. The authors identified 47 publications reporting on 29 mathematical models through a…
Mathematical Models | State-Transition | Dynamic Transmission | Infectious Diseases | Clinical Care | Health/Medicine | North America -
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,…
Microsimulation | Calibration/Validation | 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…
Dynamic Transmission | Calibration/Validation | Dynamic Simulation | Infectious Diseases | Health Systems | Health/Medicine | Global -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Decision Science Textbooks
This resource pack, curated by the Center for Health Decision Science, features introductory textbooks in …
This resource pack, curated by the Center for Health Decision Science, features introductory textbooks in decision analysis. These textbooks are mainly aimed at health professional schools but also public policy, law, business and engineering. Each textbook is accompanied by a downloadable PDF document with information on each chapter. The textbooks are broadly organized into three groups. The first group contains books on general decision analysis. They inform the reader on overarching decision analytic topics, such…
Decision Analysis | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership | Quantitative Literacy -
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 | Dynamic Simulation | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine -
ArticlePublication 2016Combining Microsimulation and Agent-Based Modeling
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population …
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population dynamics. Microsimulation describes the population dynamics at the individual level, and actions conducted by the individuals are generated by stochastic processes. An emerging method is the agent-based model, which focuses on the interactions among individuals and expects to see unexpected situations created from the interactions. In the proposed hybrid model, the microsimulation model takes a role to depict how an…
Mathematical Models | Microsimulation | Dynamic Simulation | Asia & Pacific -
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…
Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
Lesson/ModuleWeb Portal, Teaching Resource 2014Maths and Our Health
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics …
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics in decision-making. Each pack provides videos and supplemental materials, including presentations, worksheets, and games. Topics include: “Eating Bacon Sandwiches is Bad for You!” Evaluating Risk Epidemics: Modelling with Mathematics Life Saving Maths: How Does Vaccination Work? The Economics of Health: How Do We Decide? The Test is Positive: But What Are the Odds It’s Wrong?
Decision Analysis | Decision Theory | Test Performance | Mathematical Models | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global | Middle School | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
Mathematical Models | State-Transition | Microsimulation | Health Systems | Clinical Care | Health/Medicine