Resources Repository
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ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Calibration/Validation | Science/Technology | North America | Clinical Care | Mathematical Models | Chronic Disease/Risk | Health Systems | Health/Medicine -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Evidence Synthesis | Science/Technology | North America | Clinical Care | Health Outcomes | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine -
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…
Evidence Synthesis | Science/Technology | North America | Environmental Health | Risk Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Climate/Environment | Food/Agriculture | Government/Law | Health/Medicine | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Shale Gas Development
This module has been developed around the topic of the extraction of natural gas from …
This module has been developed around the topic of the extraction of natural gas from shale. This practice, commonly referred to as fracking, involves several practices that have complex and uncertain consequences. In the module, three scientific concepts are explored in order to elucidate how science is applied toward addressing real-world problems. The scientific concepts are: (1) correlation is not the same as causation, (2) hazard is not the same as risk, and (3) risk…
Probability/Bayes | Science/Technology | North America | Environmental Health | Risk Analysis | Policy/Regulation | Business/Industry | Climate/Environment | Energy/Engineering | Government/Law | Global | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Evidence Synthesis | Science/Technology | North America | Clinical Care | Preferences/Values | Health Outcomes | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Health/Medicine -
ArticlePublication 2008Health and Economic Implications of HPV Vaccination in the U.S.
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical …
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls in the US (at 12 years of age), and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). The study also examined the health benefits of averting other HPV-16-related and HPV-18-related cancers, the prevention of HPV-6-related and HPV-11-related genital warts and…
Calibration/Validation | Science/Technology | North America | Clinical Care | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Calibration/Validation | Science/Technology | North America | Clinical Care | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine