Resources Repository
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ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Chronic Disease/Risk | Child/Nutrition | Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Food/Agriculture | Health/Medicine -
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…
Chronic Disease/Risk | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | 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…
Global Governance | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Infectious Diseases | Government/Law | Health/Medicine | Military/Defense | Global -
ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
Chronic Disease/Risk | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine | Science/Technology -
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…
Chronic Disease/Risk | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Health/Medicine -
ReviewPublication 2016Economic Dimensions of Noncommunicable Diseases in Latin America and the Caribbean
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases …
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases (NCDs) on development and economic growth in the countries of Latin America and the Caribbean (LAC). This collection of manuscripts examines the complex interplay among NCDs, health expenditures and financial investments in health, poverty, and inequities, using up-to-date information and evidence from the LAC region. There is compelling proof that NCDs are a major and growing problem for low- and…
Costing Methods | Chronic Disease/Risk | Child/Nutrition | Priority Setting/Ethics | Cost-Effectiveness Analysis | Technology Assessment | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine | Latin America & Caribbean -
GuidelinesPublication 2013Decision and Simulation Modeling in Systematic Reviews
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic …
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The purpose of systematic reviews is to synthesize the current scientific literature on a particular topic in the form of evidence reports and technology assessments to assist public and private organizations in developing strategies that improve the quality of health care and decision making. However, there…
Chronic Disease/Risk | Child/Nutrition | Evidence Synthesis | Mathematical Models | Decision Analysis | Infectious Diseases | Health/Medicine | North America -
GuidelinesPublication 2011HPV Vaccine Introduction in LMIC's: Guidance on the Use of Cost-Effectiveness Models
This article is a literature review of HPV vaccination models suitable for low-income and middle-income …
This article is a literature review of HPV vaccination models suitable for low-income and middle-income country use to provide information about the feasibility of using such models in a developing country setting. The authors evaluated models in terms of their capacity, requirements, limitations and comparability. Their literature review identified six HPV vaccination models suitable for low-income and middle-income country use and representative of the literature in terms of provenance and model structure. Each model was…
Chronic Disease/Risk | Mathematical Models | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Clinical Care | Health/Medicine | Science/Technology | Global -
ReviewPublication 2010Validation of Population-Based Disease Simulation Models: A Review
This article develops a framework for validating population-based chronic disease simulation models, and reviews the …
This article develops a framework for validating population-based chronic disease simulation models, and reviews the principles and methods for such models. While computer simulation models are used increasingly to support public health research and policy, questions about their quality persist. Based on the review, the authors formulated a set of recommendations for gathering evidence of model credibility. They find that evidence of model credibility derives from examining: 1) the process of model development, 2) the…
Chronic Disease/Risk | Mathematical Models | Calibration/Validation | Social Determinants | Health/Medicine