Resources Repository
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ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
Microsimulation | Mathematical Models | Calibration/Validation | Dynamic Transmission | State-Transition | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Science/Technology -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
Dynamic Simulation | Microsimulation | Mathematical Models | Dynamic Transmission | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine | Science/Technology | Global -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Microsimulation | Mathematical Models | Calibration/Validation | Health Outcomes | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Microsimulation | Mathematical Models | Calibration/Validation | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Microsimulation | Mathematical Models | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Global -
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Microsimulation | Mathematical Models | Calibration/Validation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | North America | Graduate -
ReportPublication 2013Decision and Simulation Modeling Alongside Systematic Reviews
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks …
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine and the proliferation of systematic reviews. It describes the types of model available…
Dynamic Simulation | Microsimulation | Dynamic Transmission | Evidence Synthesis | State-Transition | Health Systems | Clinical Care | Health/Medicine -
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 | Calibration/Validation | Dynamic Transmission | Infectious Diseases | Health Systems | Health/Medicine | Global