Resources Repository
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ArticlePublication 2015Benefits of Scaling a Home-Based Neonatal Care Package in Rural India
In 2011, India introduced a home-based newborn care (HBNC) package to be delivered by community …
In 2011, India introduced a home-based newborn care (HBNC) package to be delivered by community health workers across rural areas. The authors estimate the disease and economic burden that could be averted by scaling up the HBNC in rural India using IndiaSim, an agent-based simulation model. Under one scenario, the existing community health worker network begins providing HBNC for rural households without access to home- or facility-based newborn care. In the second scenario, coverage of…
Costing Methods | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Culture/Society | Health/Medicine | Asia & Pacific -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Costing Methods | Probability/Bayes | Preferences/Values | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2014Cost-Effectiveness of Female HPV Vaccination in 179 Countries: A PRIME Modelling Study
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), …
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), used to assess cost-effectiveness and health effects of vaccination of girls against HPV before sexual debut in terms of burden of cervical cancer and mortality. The PRIME models incidence according to proposed vaccine efficacy against HPV 16/18, vaccine coverage, cervical cancer incidence and mortality, and HPV type distribution. It assumes lifelong vaccine protection and no changes to other screening programs…
Calibration/Validation | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Health/Medicine | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Lesson/ModuleWeb Portal, Teaching Resource 2014Life Saving Maths: How Does Vaccination Work?
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. …
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. Through video clips, Dr. Julia Gog and Dr. Andrew Conlan explain simple mathematical models for infectious disease to illustrate the importance of immunization. Related resources, such as activities, worksheets, and presentations, are available to help students investigate the effects of vaccination. These activities are recommended to be used together but can also be used independently. They are aimed at a…
Mathematical Models | Dynamic Transmission | Infectious Diseases | Health/Medicine | Science/Technology | Global | High School | Critical Thinking/Analysis | Quantitative Literacy -
ArticlePublication 2014Indemics: Interactive Computing Framework for Data Intensive Epidemic Modeling
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing …
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. Indemics can support policy analysts and epidemiologists interested in planning and control of pandemics. Indemics goes beyond traditional epidemic simulations by providing a way to represent and analyze policy-based as well as individual-based adaptive interventions. Users can also stop the simulation at any point, assess the state of the simulated system, and…
Mathematical Models | Dynamic Transmission | Infectious Diseases | Health/Medicine | Science/Technology -
ArticlePublication 2013Validation and Calibration of a Simulation Model of Pediatric HIV Infection
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of …
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of Preventing AIDS Complications (CEPAC) model framework. This CEPAC-Pediatric model was then validated by varying CD4 data and comparing the corresponding model-generated survival curves to empirical survival curves obtained from the International Epidemiologic Database to Evaluate AIDS (IeDEA). The model was calibrated to other African countries by systematically varying immunologic and HIV mortality-related input parameters. In the calibration analyses, the model-generated…
Calibration/Validation | Microsimulation | Infectious Diseases | Child/Nutrition | Health/Medicine | Sub-Saharan Africa -
BookPublication 2013Medical Decision Making
This new edition of Medical Decision Making provides a review of the key decision making infrastructure …
This new edition of Medical Decision Making provides a review of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. Targeted to clinicians interested in medical decision making, it demonstrates how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice…
Costing Methods | Probability/Bayes | Preferences/Values | Health Outcomes | Test Performance | Value of Information | State-Transition | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Calibration/Validation | Microsimulation | Chronic Disease/Risk | Social Determinants | Culture/Society | Health/Medicine | North America -
GuidelinesPublication 2012Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Task Force-6
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity …
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity analysis techniques and probabilistic methods. Stochastic (first-order) uncertainty is distinguished from both parameter (second-order) uncertainty and from heterogeneity, with structural uncertainty relating to the model itself forming another level of uncertainty. The article describes the process of estimating model inputs, whether these are point estimates or distributions. It also explores the link between parameter uncertainty, decision uncertainty, and value-of-information analysis.…
Calibration/Validation | Value of Information | Mathematical Models | Health/Medicine