Resources Repository
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Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Dynamic Simulation | Microsimulation | Mathematical Models | Calibration/Validation | Dynamic Transmission | State-Transition | Global | Clinical Care | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology -
ArticlePublication 2018Consequences of a Cigarette Price Increase in 13 Middle Income Countries
This study used extended cost-effectiveness analysis to examine the impact of a 50% increase in …
This study used extended cost-effectiveness analysis to examine the impact of a 50% increase in market prices of cigarettes on health, poverty, and financial protection for men in 13 middle income countries. A 50% increase in cigarette prices would lead to about 450 million years of life gained across the 13 countries from smoking cessation, with half of these in China. Across all countries, men in the bottom income group would gain 6.7 times more…
Priority Setting/Ethics | Mathematical Models | Global | Policy/Regulation | Social Determinants | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine -
Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Dynamic Simulation | Mathematical Models | Calibration/Validation | Dynamic Transmission | Global | Policy/Regulation | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Health Systems | Climate/Environment | Health/Medicine | Science/Technology | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
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 | Global | Clinical Care | Health Outcomes | Maternal/Reproductive Health | Health Systems | Health/Medicine -
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 | Global | Clinical Care | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Health/Medicine | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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 | Mathematical Models | Dynamic Transmission | Global | Policy/Regulation | Infectious Diseases | Health Systems | Health/Medicine | Science/Technology -
Resource PackPublication, Teaching Resource 2024Resource Pack: Extended Cost-Effectiveness Analysis
Health policies are intended to increase the uptake of effective and efficient interventions and result …
Health policies are intended to increase the uptake of effective and efficient interventions and result in health gains (e.g., premature mortality and morbidity averted). Health policies can also provide non-health benefits in addition to the sole well-being of populations and beyond the health sector. For instance, social and health insurance programs can prevent illness-related impoverishment and provide financial risk protection. Health policies can also improve the distribution of health in the population and promote health…
Priority Setting/Ethics | Global | Policy/Regulation | Social Determinants | Costing Methods | Cost-Effectiveness Analysis | Health Systems | Culture/Society | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Microsimulation | Calibration/Validation | Global | Clinical Care | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Health Systems | Health/Medicine -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Priority Setting/Ethics | Microsimulation | Global | Clinical Care | Health Outcomes | Child/Nutrition | Chronic Disease/Risk