Resources Repository
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ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
State-Transition | Climate/Environment | Culture/Society | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Social Determinants | Environmental Health | Health Systems | Health/Medicine -
ArticlePublication 2018Cost-Effectiveness of Strategies to Prevent Road Traffic Injuries in Eastern Sub-Saharan Africa and Southeast Asia: New Results from WHO-CHOICE
The authors applied a generalized cost-effectiveness analysis (GCEA) approach, applying a null reference case, in …
The authors applied a generalized cost-effectiveness analysis (GCEA) approach, applying a null reference case, in which the effects of currently implemented interventions were subtracted from current rates of burden, in order to identify the most efficient package of interventions that could be applied to Road Traffic Injuries (RTIs). They used a population model to estimate costs and effectiveness of interventions over a 100 year time frame in eastern sub-Saharan Africa and Southeast Asia. All heath…
State-Transition | Culture/Society | Cost-Effectiveness Analysis | Injuries/Accidents | Policy/Regulation | Science/Technology | Sub-Saharan Africa | Asia & Pacific -
Resource PackPublication, Teaching Resource 2018Resource Pack: Models for Health Decision Science
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to mathematical models used in health decision science (e.g., microsimulation, dynamic transmission, agent-based, etc.). Resources include overviews, guidelines, tutorials, and applications relevant to a broad range of clinical and public health topics. A decision analytic approach relies on the use of a mathematical model to formally structure the components of the decision over time. Models are particularly useful when multiple data sources…
State-Transition | Climate/Environment | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Economics/Finance | Health/Medicine | Science/Technology -
Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Calibration/Validation | Climate/Environment | Mathematical Models | Dynamic Transmission | Dynamic Simulation | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Health Systems | Policy/Regulation | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
State-Transition | Climate/Environment | Mathematical Models | Microsimulation | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Government/Law | Health/Medicine | North America -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
State-Transition | Military/Defense | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Infectious Diseases | Global Governance | Government/Law | Health/Medicine | Global -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
State-Transition | Military/Defense | Mathematical Models | Microsimulation | Dynamic Simulation | Energy/Engineering | Health/Medicine | Science/Technology -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Calibration/Validation | Culture/Society | Microsimulation | Chronic Disease/Risk | Social Determinants | Health/Medicine | North America -
ArticlePublication 2011Model-Based Analyses to Compare Health and Economic Outcomes of Cancer Control: Inclusion of Disparities
In order to identify strategies that improve both population health and ensure its equitable distribution, …
In order to identify strategies that improve both population health and ensure its equitable distribution, the authors developed a typology of cancer disparities that considers types of inequalities among black, white, and Hispanic populations across different cancers. This paper reports on the typology using an existing disease simulation model of cervical cancer that was calibrated to clinical, epidemiological, and cost data in the United States and presents characteristics important for policy discussions. The typology proposed…
State-Transition | Culture/Society | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America