Resources Repository
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ArticlePublication 2007Economic Evaluation of Hepatitis B Vaccination in Low-Income Countries: Cost-Effectiveness Affordability Curves
In the face of uncertainties about both the health and economic consequences of a vaccine …
In the face of uncertainties about both the health and economic consequences of a vaccine program, as well as the availability and magnitude of resources needed to fund the program, cost-effectiveness affordability curves can provide information to decision-makers about the probability that a program will be both cost-effective and affordable: these are distinct but equally relevant considerations in resource-poor settings. This paper describes the application of this method to assess a hepatitis B vaccination program in the…
Mathematical Models | Cost-Effectiveness Analysis | Health/Medicine | Infectious Diseases | Costing Methods | State-Transition | Microsimulation | Health Systems | Economics/Finance | Sub-Saharan Africa -
ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Mathematical Models | Calibration/Validation | Health/Medicine | Infectious Diseases | Microsimulation | Chronic Disease/Risk | Latin America & Caribbean -
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,…
Mathematical Models | Cost-Effectiveness Analysis | Health/Medicine | Infectious Diseases | Decision Analysis | Chronic Disease/Risk | Economics/Finance | Science/Technology | Global -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Cost-Effectiveness Analysis | Health/Medicine | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Global -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Mathematical Models | Calibration/Validation | Health/Medicine | Infectious Diseases | State-Transition | Chronic Disease/Risk | North America -
BookPublication 1980Clinical Decision Analysis
This text was conceived and developed in the Harvard T.H. Chan School of Public Health …
This text was conceived and developed in the Harvard T.H. Chan School of Public Health at the Center for the Analysis of Health Practices. The book had its origins in a set of classroom materials developed during the academic year 1974-75 for an elective course in medical decision making at the Harvard Medical School. In this book students are shown how to structure clinical decision problems, how to systematically formulate the intertwining roles of diagnosis and treatment, how to…
Test Performance | Cost-Effectiveness Analysis | Health/Medicine | Infectious Diseases | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | State-Transition | Decision Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Global | North America | Europe | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2023Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) …
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. The general findings were that the performance of Ag-RDTs was optimized when asymptomatic participants tested 3 times at 48-hour intervals and when symptomatic participants tested 2 times separated by 48 hours. Participants completed Ag-RDTs and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 every 48 hours for 15 days. They…
Test Performance | Health/Medicine | Infectious Diseases | Clinical Care | Science/Technology | North America -
ArticlePublication 2020Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction-Based SARS-CoV-2 Tests by Time Since Exposure
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based …
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based on the timeline of exposure and symptom onset. Drawing from data in seven studies involving 1,330 upper respiratory tract samples, a Bayesian model was used to estimate these rates. Findings showed that in the initial four days prior to typical symptom onset, the false-negative rate decreased from 100% on day 1 to 67% on day 4. By the day of…
Test Performance | Health/Medicine | Infectious Diseases | Clinical Care | Science/Technology | North America -
ReviewPublication 2021Considerations for Diagnostic COVID-19 Tests
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic …
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic test manufacturers to create, validate, and implement testing methods. This review discusses the pivotal role of diagnostic tests during the pandemic's first global wave, highlighting the challenges in technology and implementation experienced early on. The study also offers insights for enhancing the use of diagnostics, especially syndromic ones, should there be future spikes or regional outbreaks of COVID-19. The overarching…
Test Performance | Health/Medicine | Infectious Diseases | Clinical Care | Science/Technology | North America