Resources Repository
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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 2006Ethical Issues in Resource Allocation, Research, and New Product Development
Ethical dilemmas arising in setting priorities among interventions and among individuals in need of care …
Ethical dilemmas arising in setting priorities among interventions and among individuals in need of care are most acute when needs are great and resources few. This chapter from the Disease Control Priorities in Developing Countries 2nd edition addresses some of these concerns, identifying some of the principal ethical issues that arise in the development and allocation of effective interventions for developing countries and discussing some alternative resolutions. Resource allocation in health and elsewhere should satisfy two main…
Priority Setting/Ethics | Preferences/Values | Cost-Effectiveness Analysis | Culture/Society | Government/Law | Health/Medicine | Science/Technology -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Mathematical Models | Calibration/Validation | Health/Medicine | Science/Technology | Global -
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…
Priority Setting/Ethics | Mathematical Models | Evidence Synthesis | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Preferences/Values | Decision Theory | Decision Analysis | Policy/Regulation | Business/Industry | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | Military/Defense | Science/Technology -
DataPublication 2023Trends in Maternal Mortality 2000 to 2020
This report presents global, regional, and country-level estimates and trends for maternal mortality between 2000 …
This report presents global, regional, and country-level estimates and trends for maternal mortality between 2000 and 2020 produced by the United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG).* The estimates are intended to inform progress in maternal mortality to support national efforts to meet Sustainable Development Goal (SDG) target 3.1, to reduce maternal mortality to less than 70 maternal deaths per 100,000 live births by 2030. The report is accompanied by a set of country…
Mathematical Models | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Health/Medicine | Global -
ReviewPublication 2021Considerations for Diagnostic COVID-19 Tests
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic …
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic test manufacturers to create, validate, and implement testing methods. This review discusses the pivotal role of diagnostic tests during the pandemic's first global wave, highlighting the challenges in technology and implementation experienced early on. The study also offers insights for enhancing the use of diagnostics, especially syndromic ones, should there be future spikes or regional outbreaks of COVID-19. The overarching…
Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | North America -
ReviewPublication 2022Rapid, Point-of-Care Antigen Tests for Diagnosis of SARS-CoV-2 Infection
This study reviewed the diagnostic accuracy of rapid, point-of-care antigen tests for detecting SARS-CoV-2 infection, …
This study reviewed the diagnostic accuracy of rapid, point-of-care antigen tests for detecting SARS-CoV-2 infection, differentiating results between symptomatic and asymptomatic individuals. Using data from 155 study cohorts, the study found that the sensitivity of antigen tests was generally higher for symptomatic individuals, especially during the first week after symptom onset, due to higher viral loads. For example, average sensitivity was higher in symptomatic (73.0%) compared to asymptomatic participants (54.7). Average sensitivity was higher in…
Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | North America -
ReviewPublication 2022Significance of Advanced COVID-19 Diagnostic Testing in Pandemic Control Measures
Over the past two years of the COVID-19 pandemic, the scientific community has mounted significant …
Over the past two years of the COVID-19 pandemic, the scientific community has mounted significant efforts to combat the highly transmissible SARS-CoV-2 virus. Despite substantial progress in vaccines and treatments, leading to lower hospitalization and death rates, the virus has continued to evolve, primarily through mutations. From the onset, diagnostic tests have been crucial in identifying and controlling the virus spread. The scientific world has pioneered various diagnostic techniques, including nucleic acid, antigen, and antibody-based…
Test Performance | Infectious Diseases | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America