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 | Infectious Diseases | Dynamic Simulation | Health/Medicine | Sub-Saharan Africa -
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…
Calibration/Validation | Health Systems | Infectious Diseases | Dynamic Transmission | Dynamic Simulation | Health/Medicine | Global -
ReviewPublication 2016Economic Dimensions of Noncommunicable Diseases in Latin America and the Caribbean
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases …
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases (NCDs) on development and economic growth in the countries of Latin America and the Caribbean (LAC). This collection of manuscripts examines the complex interplay among NCDs, health expenditures and financial investments in health, poverty, and inequities, using up-to-date information and evidence from the LAC region. There is compelling proof that NCDs are a major and growing problem for low- and…
Technology Assessment | Health Systems | Social Determinants | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Mental Health | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine | Latin America & Caribbean -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Microsimulation | Health Systems | Social Determinants | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Chronic Disease/Risk | Environmental Health | Climate/Environment | Culture/Society | Health/Medicine -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Calibration/Validation | Health Systems | Clinical Care | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Microsimulation | Health Systems | Clinical Care | Preferences/Values | Health Outcomes | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Science/Technology | North America -
ReviewPublication 2015Medicare's Use of CEA for Prevention (But Not Treatment)
Medicare currently pays for 23 preventive services in its benefits package, the majority of which …
Medicare currently pays for 23 preventive services in its benefits package, the majority of which were added since 2005. In the past decade, the program has transformed from one essentially administering treatment claims, to one increasingly focused on health promotion and maintenance. What is largely unappreciated is the role cost-effectiveness analysis has played in the coverage of preventive services. This study reviews the role of cost-effectiveness analysis in Medicare coverage of preventive services and contrast it…
Technology Assessment | Health Systems | Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America -
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 Systems | Infectious Diseases | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
Microsimulation | Health Systems | Clinical Care | Mathematical Models | State-Transition | Health/Medicine