Resources Repository
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Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Risk Analysis | Calibration/Validation | Policy/Regulation | Health Systems | Infectious Diseases | Mathematical Models | Dynamic Transmission | Dynamic Simulation | Cost-Effectiveness Analysis | Technology Assessment | Climate/Environment | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2017Resource Pack: Valuing Vaccines and GAVI
This resource pack on valuing vaccines and GAVI was curated by the Center for Health …
This resource pack on valuing vaccines and GAVI was curated by the Center for Health Decision Science to showcase existing information and analyses to motivate students, educators and others to pursue new applications of decision science methods to the public health challenge of vaccine preventable illnesses.
Calibration/Validation | Global Governance | Health Systems | Infectious Diseases | Preferences/Values | Priority Setting/Ethics | Costing Methods | Mathematical Models | Dynamic Transmission | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Risk Analysis | Policy/Regulation | Health Systems | Infectious Diseases | Dynamic Transmission | Decision Analysis | Government/Law | Health/Medicine | Science/Technology | Global -
Resource PortalWeb Portal, Teaching Resource 2024National Academies of Sciences, Engineering, and Medicine
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide …
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide nonpartisan, objective guidance for decision makers on policy challenges in the context of science, engineering, and medicine. NAS reports and convening activities have a wide range of impacts on policy and practice. They guide the development of federal laws and regulations, improve the effectiveness of government programs, shape the direction of research fields, and inform public knowledge and dialogue about…
Risk Analysis | Global Governance | Health Systems | Infectious Diseases | Priority Setting/Ethics | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Technology Assessment | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Injuries/Accidents | Social Determinants | Climate/Environment | Energy/Engineering | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global | North America | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
BookPublication 1978Swine Flu Affair: Decision-Making on a Slippery Disease
This report from the Institute of Medicine, The Swine Flu Affair: Decision-Making on a Slippery …
This report from the Institute of Medicine, The Swine Flu Affair: Decision-Making on a Slippery Disease, was written to review and critique the decisions made around the 1976 swine flu threat. In 1976, a small group of soldiers at Fort Dix were infected with a swine flu virus that was deemed similar to the virus responsible for the great 1918-19 world-wide flu pandemic. The U.S. government initiated an unprecedented effort to immunize every American against…
Risk Analysis | Policy/Regulation | Health Systems | Infectious Diseases | Decision Analysis | Health/Medicine | Science/Technology | North America -
ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Decision Theory | Policy/Regulation | Infectious Diseases | Costing Methods | Health Outcomes | State-Transition | Decision Analysis | Economics/Finance | Government/Law | Health/Medicine | Middle East & North Africa -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Decision Theory | Policy/Regulation | Infectious Diseases | Priority Setting/Ethics | Government/Law | Health/Medicine | Science/Technology | Global -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Calibration/Validation | Health Systems | Infectious Diseases | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Calibration/Validation | Health Systems | Infectious Diseases | Dynamic Transmission | Dynamic Simulation | Health/Medicine | Global