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Resources Repository
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ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Cost-Effectiveness Analysis | Decision Analysis | Science/Technology | Global | Infectious Diseases | Mathematical Models | Chronic Disease/Risk | Economics/Finance | Health/Medicine -
ArticlePublication 1964Epidemics and Rumors
Goffman and Newill directed attention to the analogy between the spreading of an infectious disease …
Goffman and Newill directed attention to the analogy between the spreading of an infectious disease and the dissemination of information. This article examines the spreading of a rumor from the point of view of mathematical epidemiology and briefly reports on work to be published in detail elsewhere. Authors emphasize that a mathematical model for the spreading of rumors can be constructed in a number of different ways, depending on the mechanism postulated to describe the…
Preferences/Values | Science/Technology | Global | Infectious Diseases | Culture/Society | Health/Medicine -
ArticlePublication 2020COVID-19 Infodemic: A New Front for Information Professionals
COVID-19 emerged from Wuhan, China and has spread in 213 countries, areas, or territories around …
COVID-19 emerged from Wuhan, China and has spread in 213 countries, areas, or territories around the globe, with nearly 144,683 deaths worldwide as-of April 18, 2020. In the wake of the COVID-19 pandemic, we have witnessed a massive infodemic with the public being bombarded with vast quantities of information, much of which is not scientifically correct. Fighting fake news is now the new front in the COVID-19 battle. This article comments on the role of…
Preferences/Values | Science/Technology | Global | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine -
ArticlePublication 2021Correct COVID-19 Vaccine Misinformation: Lancet Commission on COVID-19 Vaccines & Therapeutics Task Force Members
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 …
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 vaccines. In 2020, up to one-third or more of people surveyed both globally and in the U.S. indicated they might refuse the first COVID-19 vaccines when released through emergency use authorization (EUA). Their rationale included questions about vaccine efficacy, potential side effects, or speeding through regulatory approval processes. Even among healthcare workers, high rates of COVID-19 vaccine hesitancy were noted.…
Preferences/Values | Science/Technology | Global | Infectious Diseases | Social Determinants | Policy/Regulation | Global Governance | Culture/Society | Health/Medicine -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Probability/Bayes | Science/Technology | Global | Infectious Diseases | Test Performance | Health/Medicine -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
Cost-Effectiveness Analysis | Science/Technology | Global | Infectious Diseases | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Health/Medicine