Resources Repository
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ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Mathematical Models | Decision Analysis | Chronic Disease/Risk | Infectious Diseases | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | Global -
BookPublication 1980Clinical Decision Analysis
This text was conceived and developed in the Harvard T.H. Chan School of Public Health …
This text was conceived and developed in the Harvard T.H. Chan School of Public Health at the Center for the Analysis of Health Practices. The book had its origins in a set of classroom materials developed during the academic year 1974-75 for an elective course in medical decision making at the Harvard Medical School. In this book students are shown how to structure clinical decision problems, how to systematically formulate the intertwining roles of diagnosis and treatment, how to…
Probability/Bayes | Decision Analysis | Chronic Disease/Risk | Infectious Diseases | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | State-Transition | Cost-Effectiveness Analysis | Child/Nutrition | Economics/Finance | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | 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…
Dynamic Simulation | Mathematical Models | Decision Analysis | Chronic Disease/Risk | State-Transition | Microsimulation | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
ReportPublication 2015Modeling to Improve Policy Decisions in the Americas: Noncommunicable Diseases
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only …
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only to human health, but also to a country’s economic development and growth. The evidence on both of these counts is compelling. In 2012, cardiovascular disease, diabetes, cancers, chronic respiratory conditions including asthma, and other NCDs were the cause of 4.5 million deaths in the Americas. Of that total number, 1.5 million of them were premature, occurring among people aged 30-69…
Priority Setting/Ethics | Mathematical Models | Decision Analysis | Chronic Disease/Risk | Costing Methods | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Mental Health | Health/Medicine | Latin America & Caribbean -
BookPublication 2019Non-Communicable Disease Prevention: Best Buys, Wasted Buys, Contestable Buys
Non-communicable diseases (NCDs) are the leading cause of death worldwide, and the majority of these …
Non-communicable diseases (NCDs) are the leading cause of death worldwide, and the majority of these deaths occur in low- and middle-income countries. This book provides practical guidelines and lessons learned through real-world case studies. It is intended to be informative to NCD program managers, policy officers and decision-makers in low- and middle-income countries, who need to comparatively assess interventions for the prevention and control of NCDs.The authors emphasize the importance of context in NCD control…
Priority Setting/Ethics | Chronic Disease/Risk | Infectious Diseases | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Policy/Regulation | Health/Medicine | Global -
ReportPublication 2017DCP3: Improving Health and Reducing Poverty
This report from the World Bank is the ninth and final volume of the Disease …
This report from the World Bank is the ninth and final volume of the Disease Control Priorities, Third Edition (DCP3) series. It provides an overview of the findings and methods explored in the first eight volumes, placing them within a framework that identifies an efficient pathway toward essential universal health coverage through the implementation of 21 essential packages that include health interventions and fiscal and intersectoral policies. The Disease Control Priorities Network (DCP) promotes and…
Benefit-Cost Analysis | Chronic Disease/Risk | Infectious Diseases | Costing Methods | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Global Governance | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global -
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…
Dynamic Simulation | Mathematical Models | Chronic Disease/Risk | State-Transition | Dynamic Transmission | Microsimulation | Social Determinants | Environmental Health | Health Systems | Climate/Environment | Culture/Society | Health/Medicine -
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…
Dynamic Simulation | Mathematical Models | Infectious Diseases | State-Transition | Dynamic Transmission | Microsimulation | Global Governance | Government/Law | Health/Medicine | Military/Defense | Global -
ReviewPublication 2015Decision-Analytic Modeling Studies of Multiple Myeloma
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma …
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma and is based on a systematic literature search to identify studies evaluating treatment strategies using mathematical decision-analytic models. Studies were included that assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Eleven decision-analytic modeling studies met inclusion criteria. Five different modeling approaches were adopted: decision-tree modeling, Markov state-transition modeling, discrete event simulation, partitioned-survival analysis and…
Dynamic Simulation | Mathematical Models | Chronic Disease/Risk | State-Transition | Microsimulation | Health/Medicine