Resources Repository
-
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 | Health/Medicine | Culture/Society | Environmental Health | Chronic Disease/Risk | State-Transition | Dynamic Transmission | Microsimulation | Social Determinants | Health Systems | Climate/Environment -
NewsPublication 2020Managing the COVID-19 Infodemic: Promoting Healthy Behaviors and Mitigating the Harm from Misinformation and Disinformation
The COVID-19 pandemic is the first in history in which technology and social media are …
The COVID-19 pandemic is the first in history in which technology and social media are being used on a massive scale to keep people safe, informed, productive, and connected. At the same time, the technology we rely on to keep connected and informed enables and amplifies an infodemic that continues to undermine the global response and jeopardizes measures to control the pandemic. This description was adapted from the joint statement.
Decision Psychology | Health/Medicine | Culture/Society | Global Governance | Infectious Diseases | Preferences/Values | Social Determinants | Health Systems | Government/Law | Science/Technology | Global -
ArticlePublication 2017Increasing Vaccination: Putting Psychological Science into Action
Vaccination is one of the great achievements of the 20th century, yet persistent public health …
Vaccination is one of the great achievements of the 20th century, yet persistent public health problems include inadequate, delayed, and unstable vaccination uptake. Psychology offers three general propositions for understanding and intervening to increase uptake where vaccines are available and affordable. The first proposition is that thoughts and feelings can motivate getting vaccinated. Hundreds of studies have shown that risk beliefs and anticipated regret about infectious disease correlate reliably with getting vaccinated; low confidence in…
Decision Psychology | Health/Medicine | Culture/Society | Global Governance | Infectious Diseases | Preferences/Values | Social Determinants | Policy/Regulation | Government/Law | Science/Technology | Global | North America -
ArticlePublication 2017Policy Makers, the International Community and the Population: Case Study on HIV/AIDS
A four-period game is developed between a policy maker, the international community, and the population. …
A four-period game is developed between a policy maker, the international community, and the population. This research supplements, through implementing strategic interaction, earlier research analyzing "one player at a time." The first two players distribute funds between preventing and treating diseases. The population reacts by degree of risky behavior which may cause no disease, disease contraction, recovery, sickness/death. More funds to prevention implies less disease contraction but higher death rate given disease contraction. The cost…
Mathematical Models | Decision Psychology | Health/Medicine | Global Governance | Infectious Diseases | Priority Setting/Ethics | Health Systems | Economics/Finance | Government/Law | Global -
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 | Health/Medicine | Environmental Health | Chronic Disease/Risk | State-Transition | Microsimulation | Decision Analysis | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | North America -
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 | Health/Medicine | Global Governance | Infectious Diseases | State-Transition | Dynamic Transmission | Microsimulation | Government/Law | Military/Defense | Global -
ArticlePublication 2015Health Gains & Financial Risk Protection by Public Financing in Ethiopia: An ECEA
This article, published in the Lancet Global Health, aims to evaluate the health and financial …
This article, published in the Lancet Global Health, aims to evaluate the health and financial risk protection benefits of selected interventions that could be publicly financed by the government of Ethiopia. The authors used an extended cost-effectiveness analysis (ECEA) to assess the health gains (deaths averted) and financial risk protection afforded (cases of poverty averted) by a bundle of nine interventions that the Government of Ethiopia aims to make universally available. This approach incorporates financial…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Maternal/Reproductive Health | Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Policy/Regulation | Sub-Saharan Africa -
ArticlePublication 2008Cost-Effectiveness of Rapid Point-of-Care Prenatal Syphilis Screening in Sub-Saharan Africa
This paper investigates the cost-effectiveness of using rapid point-of-care tests for prenatal syphilis screening among …
This paper investigates the cost-effectiveness of using rapid point-of-care tests for prenatal syphilis screening among pregnant women in sub-Saharan Africa, a region with syphilis prevalence rates as high as 17%, and where traditional multi-test screening methods have been challenging to implement. Focusing on newly available rapid point-of-care screening tests, strategies differed by the initial test [rapid plasma reagin (RPR), immunochromographic strip (ICS)], need for confirmation with Treponema pallidum hemagglutination assay, and number of visits required.…
Mathematical Models | Health/Medicine | Maternal/Reproductive Health | Infectious Diseases | Costing Methods | Test Performance | Cost-Effectiveness Analysis | Technology Assessment | Clinical Care | Sub-Saharan Africa -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Infectious Diseases