Resources Repository
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ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Microsimulation | Calibration/Validation | Dynamic Simulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Cost-Effectiveness Analysis | Costing Methods | Priority Setting/Ethics | Health Outcomes | Microsimulation | Child/Nutrition | Social Determinants | Environmental Health | Economics/Finance | Energy/Engineering | Health/Medicine | Science/Technology | Asia & Pacific -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Dynamic Transmission | Calibration/Validation | Dynamic Simulation | Infectious Diseases | Health Systems | Health/Medicine | Global -
OrganizationWeb Portal 2024Society for Medical Decision Making
The Society for Medical Decision Making (SMDM), founded in 1979, works to improve health and …
The Society for Medical Decision Making (SMDM), founded in 1979, works to improve health and clinical care of individuals and populations through the advancement of systematic methods to address decision-making under conditions of uncertainty, and to provide a training ground for scholars in the field of medical decision making. Members include researchers, clinicians, educators, managers and policy makers from varied backgrounds and academic disciplines. SMDM provides opportunities for collaboration, networking and mentorship to professionals and trainees…
Preferences/Values | Cost-Effectiveness Analysis | Costing Methods | Priority Setting/Ethics | Value of Information | Decision Analysis | Health/Medicine | Global | North America | Europe -
OrganizationWeb Portal 2024One Health Trust
One Health Trust, formally the Center for Disease Dynamics, Economics & Policy (CDDEP), was founded …
One Health Trust, formally the Center for Disease Dynamics, Economics & Policy (CDDEP), was founded with the objective of using research to support better decision-making in health policy. One Health Trust researchers employ a range of expertise—including economics, epidemiology, disease modeling, risk analysis, and statistics—to conduct actionable, policy-oriented research on malaria, antibiotic resistance, disease control priorities, environmental health, alcohol and tobacco, and other global health priorities. One Health Trust projects are global in scope, spanning…
Cost-Effectiveness Analysis | Costing Methods | Health Outcomes | Mathematical Models | Technology Assessment | Infectious Diseases | Chronic Disease/Risk | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Economics/Finance | Health/Medicine | Global | Sub-Saharan Africa | Asia & Pacific -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Preferences/Values | Cost-Effectiveness Analysis | Evidence Synthesis | Mathematical Models | Decision Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2016Funding Gap for Immunization Across 94 Low- and Middle-Income Countries
This analysis estimates immunization program costs, potentially available financing, and resulting funding gap for 94 …
This analysis estimates immunization program costs, potentially available financing, and resulting funding gap for 94 low- and middle-income countries over the five-year period of 2016–2020. Vaccine financing by country governments, GAVI, and other development sources was forecasted for vaccine, supply chain, and service delivery based on an analysis of comprehensive multi-year plans together with a series of scenarios. The authors found that that delivery of full vaccination programs across the 94 countries would result in a total…
Cost-Effectiveness Analysis | Costing Methods | Mathematical Models | Infectious Diseases | Health Systems | Global Governance | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2016Cost-Effectiveness of Routine Vaccination With a Live-Attenuated Dengue Vaccine: Model Comparison
Large Phase III trials across Asia and Latin America have demonstrated the efficacy of a recombinant, …
Large Phase III trials across Asia and Latin America have demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 months following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. This paper reports predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine…
Cost-Effectiveness Analysis | Mathematical Models | Dynamic Transmission | Infectious Diseases | Child/Nutrition | Health Systems | Global Governance | Climate/Environment | Economics/Finance | Health/Medicine | Latin America & Caribbean | Asia & Pacific -
GuidelinesPublication 2016Estimating Health-State Utility for Economic Models: ISPOR Task Force Report
Cost-utility models are increasingly used in many countries to establish whether the cost of a …
Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility models. Clinical trials represent an important opportunity for the collection of health-utility data.…
Preferences/Values | Cost-Effectiveness Analysis | Health Outcomes | Mathematical Models | Technology Assessment | Health Systems | Health/Medicine | Science/Technology | North America | Europe