Resources Repository
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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 | Economics/Finance | Science/Technology | Infectious Diseases | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Business/Industry | Health/Medicine | Global -
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 | Economics/Finance | Science/Technology | Infectious Diseases | Preferences/Values | Priority Setting/Ethics | Costing Methods | Mathematical Models | Dynamic Transmission | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Global Governance | Government/Law | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ArticlePublication 2011Health and Economic Impact of HPV 16/18 Vaccination and Cervical Cancer Screening in Eastern Africa
In this article the authors use epidemiologic data from Kenya, Mozambique, Tanzania, Uganda, and Zimbabwe …
In this article the authors use epidemiologic data from Kenya, Mozambique, Tanzania, Uganda, and Zimbabwe to develop models of HPV-related infection and disease. For each country, they assessed HPV vaccination of girls before age 12 followed by screening with HPV DNA testing once, twice, or three times per lifetime (at ages 35, 40, 45). For women over age 30, they assessed only screening (with HPV DNA testing up to three times per lifetime or VIA…
Calibration/Validation | Economics/Finance | Science/Technology | Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Health/Medicine | Sub-Saharan Africa -
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 | Economics/Finance | Science/Technology | Infectious Diseases | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | North America -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in the Asia Pacific Region
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, …
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for vaccination of young adolescent girls against human papillomavirus (HPV) types 16 and 18. The authors used population-based and epidemiologic data for 25 countries in Asia (22 GAVI-Alliance eligible countries, Thailand, China and Japan). They found that an absolute reduction in lifetime cancer risk varied across countries, depending on incidence,…
Calibration/Validation | Economics/Finance | Science/Technology | Infectious Diseases | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Health/Medicine | Asia & Pacific -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in Latin America and the Caribbean
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted …
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for human papillomavirus (HPV) vaccination of young adolescent girls using population and epidemiologic data for 33 countries in Latin America and the Caribbean (LAC). The authors found that an absolute reduction in lifetime cancer risk varied between countries, depending on incidence, proportion attributable to HPV-16 and 18, and population age-structure; for…
Calibration/Validation | Economics/Finance | Science/Technology | Infectious Diseases | Costing Methods | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2008Health and Economic Impact of HPV 16 and 18 Vaccination and Cervical Cancer Screening in India
As cervical cancer is a leading cause of cancer death among women in low-income countries, …
As cervical cancer is a leading cause of cancer death among women in low-income countries, with approximately 25% of cases worldwide occurring in India, these authors estimated the potential health and economic impact of different cervical cancer prevention strategies in India. After empirically calibrating a cervical cancer model to country-specific epidemiologic data, they projected cancer incidence, life expectancy, and lifetime costs (I$2005), and calculated incremental cost-effectiveness ratios (I$/YLS) for the following strategies: pre-adolescent vaccination of…
Calibration/Validation | Economics/Finance | Science/Technology | Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Asia & Pacific -
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Probability/Bayes | Science/Technology | Infectious Diseases | Test Performance | Technology Assessment | Clinical Care | Health/Medicine -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Science/Technology | Infectious Diseases | Test Performance | Clinical Care | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy