Resources Repository
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Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Models and Practice
This module is an introduction to models and to their role in regulatory decision-making, and …
This module is an introduction to models and to their role in regulatory decision-making, and is intended for non-scientists from a variety of different backgrounds including law, journalism, public policy, and business. The module covers three main themes: (1) Core lessons on using models for policy making; (2) Key questions on the art and science of modeling including how models differ from other scientific techniques; and (3) Key ideas on using models in policy-making including how…
Mathematical Models | Climate/Environment | Priority Setting/Ethics | Environmental Health | Policy/Regulation | Business/Industry | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership -
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…
Mathematical Models | Climate/Environment | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Social Determinants | Environmental Health | Health Systems | Culture/Society | Health/Medicine -
Lesson/ModulePublication, Teaching Resource 2016Surviving the Surge
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. …
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. It focuses on decisions made by each institution, as Sandy approached, about whether to shelter-in-place or evacuate hundreds of medically fragile patients, and how each of the three hospitals took a different approach, informed by differing perceptions of risk and related factors. The case will be useful for public health students and administrators in understanding decision-making in settings of an…
Risk Analysis | Climate/Environment | Decision Analysis | Injuries/Accidents | Social Determinants | Environmental Health | Business/Industry | Health/Medicine | North America | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership -
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…
Mathematical Models | Energy/Engineering | State-Transition | Microsimulation | Dynamic Simulation | Health/Medicine | Military/Defense | Science/Technology -
ReviewPublication 2012Applying Decision Science to Managing National Forests
This publication is an example of the application of decision science to the management of …
This publication is an example of the application of decision science to the management of federal public forests, in particular to meet sustainability goals and multiple use regulations. Through three case studies, the authors describe four stages of a decision analytic approach: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring…
Risk Analysis | Climate/Environment | Value of Information | Decision Analysis | Social Determinants | Environmental Health | Policy/Regulation | Government/Law