Resources Repository
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ArticlePublication 2021Incorporating Equity in Infectious Disease Modeling: Measles
Deterministic compartmental models of infectious diseases like measles typically reflect biological heterogeneities in the risk …
Deterministic compartmental models of infectious diseases like measles typically reflect biological heterogeneities in the risk of infection and severity to characterize transmission dynamics. Given the known association of socioeconomic status and increased vulnerability to infection and mortality, it is also critical that such models further incorporate social heterogeneities. This article explores the influence of integrating income-associated differences in parameters of traditional dynamic transmission models. The authors developed a measles “SIR” model, in which the
Priority Setting/Ethics | Dynamic Transmission -
ArticlePublication 2022Priority Setting in Early Childhood Development: An Analytical Framework
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences …
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences for education, labor market outcomes, and other domains of well-being. Even though many ECD interventions are implemented and evaluated globally, there is currently no standardized framework for comparing these interventions’ relative cost-effectiveness. The investigators developed an economic evaluation framework that focuses on the immediate impact of ECD interventions targeting motor, cognitive, language, and socioemotional skills. They applied the framework to compute…
Priority Setting/Ethics | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Global -
ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Priority Setting/Ethics | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine | Asia & Pacific -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Decision Analysis | Dynamic Transmission | Risk Analysis | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
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 | Dynamic Transmission | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine -
ArticlePublication 2011Dynamic Policies for Controlling Spread of Emerging Infections
This paper illustrates the design and implementation of a dynamic health policy for the control …
This paper illustrates the design and implementation of a dynamic health policy for the control of a novel strain of influenza, where two types of interventions are assumed to be available during the epidemic: (1) vaccines and antiviral drugs, and (2) transmission reducing measures, such as social distancing or mask use, that may be turned "on" or "off" repeatedly during the course of epidemic. A modeling approach is described for developing dynamic health policies that allow…
Dynamic Simulation | Dynamic Transmission | Mathematical Models | Infectious Diseases | Health Systems | Policy/Regulation | Health/Medicine | Science/Technology | Global -
ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Decision Analysis | Mathematical Models | North America -
ArticlePublication 2013Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used …
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used a disease simulation model to simulate the clinical events after six treatments (lumpectomy alone, lumpectomy with radiation, lumpectomy with radiation and tamoxifen, lumpectomy with tamoxifen, and mastectomy with and without breast reconstruction). Outcomes included disease-free, invasive disease-free, overall survival and breast preservation. Data were from the published literature. The results showed that for women aged 45 years at diagnosis, both mastectomy…
Decision Analysis | Health Outcomes | Clinical Care | Health/Medicine