Resources Repository
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GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Dynamic Simulation | Dynamic Transmission | Health Outcomes | Infectious Diseases | Costing Methods | Value of Information | Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Decision Analysis | Health/Medicine -
ArticlePublication 2021Racial and Ethnic Inequities in the Early Distribution of U.S. COVID-19 Testing Sites and Mortality
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to …
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to provide data that would contribute to understanding transmission. This research explored how these sites were distributed in relation to racial and ethnic demographics and its connection to observed disparities in COVID-19 outcomes. Data from mid-April to late May 2020 revealed that testing sites were not equally distributed among racial groups. Specifically, there was an overrepresentation of testing sites in areas…
Health Outcomes | Social Determinants | Infectious Diseases | Test Performance | Policy/Regulation | Culture/Society | Health/Medicine | Science/Technology | North America -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Health Outcomes | Social Determinants | Infectious Diseases | Evidence Synthesis | Policy/Regulation | Clinical Care | Culture/Society | Health/Medicine | Science/Technology | North America -
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Health Outcomes | Social Determinants | Infectious Diseases | Decision Psychology | Preferences/Values | Evidence Synthesis | Culture/Society | Health/Medicine | Science/Technology | North America -
ReportPublication 2017DCP3: Improving Health and Reducing Poverty
This report from the World Bank is the ninth and final volume of the Disease …
This report from the World Bank is the ninth and final volume of the Disease Control Priorities, Third Edition (DCP3) series. It provides an overview of the findings and methods explored in the first eight volumes, placing them within a framework that identifies an efficient pathway toward essential universal health coverage through the implementation of 21 essential packages that include health interventions and fiscal and intersectoral policies. The Disease Control Priorities Network (DCP) promotes and…
Health Outcomes | Social Determinants | Infectious Diseases | Costing Methods | Evidence Synthesis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Policy/Regulation | Global Governance | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global -
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 | Dynamic Transmission | Infectious Diseases | Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
ArticlePublication 2017Estimated Economic Impact of Vaccinations in 73 LMIC, 2001-2020
This analysis estimates the economic impact likely to be achieved by efforts to vaccinate against 10 …
This analysis estimates the economic impact likely to be achieved by efforts to vaccinate against 10 vaccine-preventable diseases between 2001 and 2020 in 73 low- and middle-income countries largely supported by Gavi, the Vaccine Alliance. The authors used health impact models to estimate the economic impact of achieving forecasted coverages for vaccination against Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, rotavirus, rubella, Streptococcus pneumoniae and yellow fever. In…
Dynamic Transmission | Health Outcomes | Infectious Diseases | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Tools/ModelsPublication, Teaching Resource 2017Publicly Available Software Tools for Decision-Makers During an Emergent Epidemic
Epidemics and emerging infectious diseases are becoming an increasing threat to global populations-challenging public health …
Epidemics and emerging infectious diseases are becoming an increasing threat to global populations-challenging public health practitioners, decision makers and researchers to plan, prepare, identify and respond to outbreaks in near real-timeframes. The aim of this research is to evaluate the range of public domain and freely available software epidemic modelling tools. Twenty freely utilizable software tools underwent assessment of software usability, utility and key functionalities. Stochastic and agent based tools were found to be highly…
Dynamic Simulation | Dynamic Transmission | Infectious Diseases | Mathematical Models | Health Systems | Climate/Environment | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Quantitative Literacy -
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 | Infectious Diseases | Calibration/Validation | Health Systems | Health/Medicine | Global