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,…
Dynamic Simulation | Microsimulation | Calibration/Validation | Infectious Diseases | 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…
Dynamic Simulation | Dynamic Transmission | Calibration/Validation | Infectious Diseases | Health Systems | Health/Medicine | Global -
ArticlePublication 2016Identifying Cost-Effective Dynamic Policies to Control Epidemics
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. …
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. The dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. An algorithm is proposed to approximate dynamic policies that optimize the population's net health benefit, a performance measure which accounts for both health and monetary outcomes. The authors further illustrate how dynamic policies can be defined and…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine -
ArticlePublication 2016Quality Improvement for Cardiovascular Disease Care in Low- and Middle-Income Countries: A Systematic Review
The majority of global cardiovascular disease (CVD) burden falls on people living in low- and …
The majority of global cardiovascular disease (CVD) burden falls on people living in low- and middle-income countries (LMICs). As part of the Disease Control Priorities Three (DCP3) Study efforts addressing quality improvement, the authors reviewed and summarized currently available evidence on interventions to improve quality of clinic-based CVD prevention and management in LMICs. Using a narrative review of published comparative clinical trials that evaluated efficacy or effectiveness of clinic-based CVD prevention and management quality improvement…
Evidence Synthesis | Health Outcomes | Chronic Disease/Risk | Health Systems | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2016Global Burden of Latent Tuberculosis Infection
Given the importance of controlling latent TB infection (LTBI) as part of the End TB …
Given the importance of controlling latent TB infection (LTBI) as part of the End TB Strategy for eliminating TB by 2050, the authors felt that changes in demography and scientific understanding, and progress in TB control, made it necessary to re-assess the global burden of LTBI. The authors used constructed trends in annual risk in infection to calculate the number and proportions of individuals infected, recently infected, and recently infected with isoniazid (INH)-resistant strains, aggregated…
Evidence Synthesis | Mathematical Models | Infectious Diseases | Health/Medicine | Global -
ArticlePublication 2016Redrawing the U.S. Obesity Landscape: State-Specific Adult Obesity Prevalence
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic …
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic because they use self-reported height and weight. This study described a novel bias-correction method and produced corrected state-level estimates of obesity and severe obesity. Using non-parametric statistical matching, the authors adjusted self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS) 2013 (n = 386,795) using measured data from the National Health and Nutrition Examination Survey (NHANES) (n = 16,924).…
Evidence Synthesis | Health Outcomes | Child/Nutrition | Health/Medicine | North America -
ArticlePublication 2016Combining Microsimulation and Agent-Based Modeling
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population …
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population dynamics. Microsimulation describes the population dynamics at the individual level, and actions conducted by the individuals are generated by stochastic processes. An emerging method is the agent-based model, which focuses on the interactions among individuals and expects to see unexpected situations created from the interactions. In the proposed hybrid model, the microsimulation model takes a role to depict how an…
Dynamic Simulation | Mathematical Models | Microsimulation | Asia & Pacific -
ArticlePublication 2016Using Cost-Effectiveness Evidence to Inform Health Service Provision
This article discusses three challenges of using cost-effectiveness thresholds to inform whether a third-party payer …
This article discusses three challenges of using cost-effectiveness thresholds to inform whether a third-party payer will fund a particular service. First, how is the appropriate cost-effectiveness threshold - or threshold range - to be determined? (And should there be a single threshold or multiple thresholds?) Second, how can the valuation of health benefits be refined to better capture the value of treatments to patients and to the economy as a whole? Third, how should a…
Evidence Synthesis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Global -
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…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America