Resources Repository
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ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
Benefit-Cost Analysis | State-Transition | Business/Industry | North America | Mathematical Models | Infectious Diseases | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine -
ArticlePublication 2021Racial and Ethnic Inequities in the Early Distribution of U.S. COVID-19 Testing Sites and Mortality
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to …
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to provide data that would contribute to understanding transmission. This research explored how these sites were distributed in relation to racial and ethnic demographics and its connection to observed disparities in COVID-19 outcomes. Data from mid-April to late May 2020 revealed that testing sites were not equally distributed among racial groups. Specifically, there was an overrepresentation of testing sites in areas…
Health Outcomes | Science/Technology | North America | Test Performance | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | 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…
Health Outcomes | Science/Technology | North America | Evidence Synthesis | Infectious Diseases | Social Determinants | Policy/Regulation | Clinical Care | Culture/Society | Health/Medicine -
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Health Outcomes | Science/Technology | North America | Decision Psychology | Preferences/Values | Evidence Synthesis | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine -
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…
Calibration/Validation | Science/Technology | North America | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine -
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…
Health Outcomes | Science/Technology | North America | Preferences/Values | Evidence Synthesis | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine -
ArticlePublication 2011Model-Based Analyses to Compare Health and Economic Outcomes of Cancer Control: Inclusion of Disparities
In order to identify strategies that improve both population health and ensure its equitable distribution, …
In order to identify strategies that improve both population health and ensure its equitable distribution, the authors developed a typology of cancer disparities that considers types of inequalities among black, white, and Hispanic populations across different cancers. This paper reports on the typology using an existing disease simulation model of cervical cancer that was calibrated to clinical, epidemiological, and cost data in the United States and presents characteristics important for policy discussions. The typology proposed…
State-Transition | Science/Technology | North America | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Health Systems | Clinical Care | Culture/Society | 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 | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | 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 | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine