Resources Repository
-
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Decision Psychology | Decision Theory | Chronic Disease/Risk | Probability/Bayes | Preferences/Values | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
BookWeb Portal 2018Internet Encyclopedia of Philosophy (IEP)
The Internet Encyclopedia of Philosophy (IEP) was founded in 1995 to provide open access to …
The Internet Encyclopedia of Philosophy (IEP) was founded in 1995 to provide open access to detailed, scholarly information on key topics and philosophers in all areas of philosophy. The Encyclopedia's articles are written with the intention that most of the article can be understood by advanced undergraduates majoring in philosophy and by other scholars who are not working in the field covered by that article. The IEP articles are written by experts but not for…
Decision Psychology | Decision Theory | Policy/Regulation | Preferences/Values | Priority Setting/Ethics | Global Governance | Culture/Society | Economics/Finance | Government/Law -
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 | Mathematical Models | Dynamic Transmission | Dynamic Simulation | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Health Systems | Climate/Environment | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Scientific Evidence of Factual Causation
This module examines three scientific areas that provide evidence bearing on causation in the “toxic …
This module examines three scientific areas that provide evidence bearing on causation in the “toxic tort” or environmental disease context: epidemiology, toxicology, and genetics. These scientific disciplines are used in civil lawsuits and in regulatory proceedings in which causation or risk is an issue. The module is appropriate for non-scientist law students as well as others interested in learning the science of toxic tort causation, including practicing attorneys, judges, and public policy and public health…
Risk Analysis | Policy/Regulation | Chronic Disease/Risk | Evidence Synthesis | Child/Nutrition | Environmental Health | Climate/Environment | Food/Agriculture | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Quantitative Literacy -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | Policy/Regulation | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | 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 | Costing Methods | Health Outcomes | State-Transition | Decision Analysis | Infectious Diseases | Economics/Finance | Government/Law | Health/Medicine | Middle East & North Africa -
ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
Calibration/Validation | Chronic Disease/Risk | Health Outcomes | Mathematical Models | Social Determinants | North America -
ArticlePublication 2020Impact of Treatment and Imaging Modalities on 5-Year Net Survival of 11 Cancers in 200 Countries
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 …
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 countries/territories for 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). The paper estimated current 5-year net survival for diagnosed cancers in each country and potential survival gains from increasing the availability of individual treatment and imaging modalities, and more comprehensive packages of scale-up. Global 5-year net survival for all 11 cancers (combined) is…
Calibration/Validation | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Microsimulation | Health Systems | Global -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | Chronic Disease/Risk | Health Outcomes | Microsimulation | Social Determinants | North America