Resources Repository
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ReviewPublication 2017Validation and Calibration of Structural Models that Combine Information from Multiple Sources
This is a review of calibration and validation methods in mathematical modeling. Such models that …
This is a review of calibration and validation methods in mathematical modeling. Such models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. The authors provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves…
Mathematical Models | Calibration/Validation | Health/Medicine -
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.…
Mathematical Models | Calibration/Validation | State-Transition | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
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…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Social Determinants | Health/Medicine -
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…
Mathematical Models | Calibration/Validation | State-Transition | Dynamic Transmission | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Science/Technology -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Mathematical Models | Technology Assessment | Priority Setting/Ethics | Evidence Synthesis | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
EditorialPublication 2021Scientific and Regulatory Challenges in Designing mHealth Interventions
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that …
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that can enable the right intervention to be delivered at the right time. Traditional delivery mechanisms have been limited both to the availability of a provider (e.g., a physician) and the location of care (e.g., a hospital or outpatient clinic). In recent years, however, numerous technological advancements—including wearable devices, mobile technologies, and the widespread development and use of user-friendly smartphone applications—have…
Technology Assessment | Health/Medicine | Science/Technology | North America -
ReviewPublication 2021European News Consumers' Perceptions of Misinformation
This study indicated that news users across ten different European countries are quite concerned about …
This study indicated that news users across ten different European countries are quite concerned about misinformation in their information environment. Respondents were most likely to associate politicians, corporations, and foreign actors with misinformation. They perceived misinformation to be most common for topics like immigration, the economy, and the environment. This offered support for the increasingly more relative and politicized status of facts in people’s credibility perceptions. Yet, differences across sources and issues were relatively modest,…
Preferences/Values | Decision Psychology | Social Determinants | Culture/Society | Education/Labor | Health/Medicine | Science/Technology | Europe -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Technology Assessment | Probability/Bayes | Test Performance | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
EditorialPublication 2018Combining A4R and MCDA in Priority Setting for Health
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria …
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria to be used in health technology assessment. A standard criticism of MCDA is that it lacks attention to securing legitimacy for its decisions. Accountability for reasonableness (A4R) proposes four conditions (publicity, relevance, revisability and enforcement) that must be met if legitimacy and fairness are to be ascribed to decisions about priority setting.The relevance condition of A4R has been criticized for…
Preferences/Values | Priority Setting/Ethics | Health/Medicine