Resources Repository
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ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | Health Outcomes | Microsimulation | Chronic Disease/Risk | Social Determinants | North America -
ArticlePublication 2021Impact of COVID-19 on Cancer Diagnosis and Survival in Chile
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in …
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in Chile, using a microsimulation model of five cancers: breast, cervix, colorectal, prostate, and stomach. The model simulates cancer incidence and progression, as well as stage-specific cancer detection and survival probabilities, and was calibrated to empirical data on monthly detected cases, stage at diagnosis, and 5-year net survival. The analysis accounted for the impact of COVID-19 on month-by-month excess mortality and…
Calibration/Validation | Health Outcomes | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Latin America & Caribbean -
ArticlePublication 2021Impact of Treatment and Imaging Modalities on Global Breast Cancer Survival
This analysis used a microsimulation model of global cancer survival to simulate 5-year net survival …
This analysis used a microsimulation model of global cancer survival to simulate 5-year net survival for women with newly diagnosed breast cancer in 200 countries/territories in 2018, accounting for the availability and stage-specific survival impact of specific treatment modalities (chemotherapy, radiotherapy, surgery, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single-photon emission computed tomography [SPECT]), and quality of cancer care. The model was calibrated to empirical data on 5-year net breast cancer…
Calibration/Validation | Health Outcomes | Microsimulation | Chronic Disease/Risk | Health Systems | Clinical Care | Global -
ArticlePublication 2022Comparing Health Gains, Costs & Cost-Effectiveness of Interventions in Australia & New Zealand
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New …
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New Zealand (NZ) from studies conducted with comparable methods, and reports results in the form of an online interactive league table. Studies from the Australia Cost-Effectiveness research and NZ Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programmes and studies were included which reported health-adjusted life years (HALYs) and net health system costs and/or incremental cost-effectiveness ratios, used a time horizon of…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Mental Health | Health Systems | Health/Medicine | Asia & Pacific | Oceania -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Priority Setting/Ethics | Decision Theory | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Decision Analysis | Mathematical Models | Health Systems | Government/Law | Health/Medicine | Global -
ArticlePublication 2020Perceptions of COVID-19 around the World
This study evaluates public risk perception of COVID-19 around the world in ten countries across …
This study evaluates public risk perception of COVID-19 around the world in ten countries across Europe, America, and Asia. They found that significant predictors of risk perception included personal experience with the virus, individualistic and prosocial values, hearing about the virus from friends and family, trust in government, science, and medical professionals, personal knowledge of government strategy, and personal and collective efficacy. Although there was substantial variability across cultures, individualistic worldviews, personal experience, prosocial values,…
Risk Analysis | Decision Psychology | Preferences/Values | Infectious Diseases | Culture/Society | Health/Medicine | Global -
ArticlePublication 2020Valuing COVID-19 Mortality Risk
In this article, the author evaluates whether conventional estimates of the value per statistical life …
In this article, the author evaluates whether conventional estimates of the value per statistical life (VSL) in the United States (about $10 million) are appropriate for evaluating policies that affect risk of COVID-19. This estimate may be too large, because: (1) VSL estimates marginal values but COVID-19 risks can be non-marginal; (2) VSL is estimated for the average resident, but COVID-19 mortality is concentrated among the elderly; and (3) the pandemic has caused substantial losses…
Benefit-Cost Analysis | Preferences/Values | Infectious Diseases | Government/Law | Global -
ArticlePublication 2021COVID and the Age–VSL Relationship
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions …
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions in analyses of lockdowns and other policies. Many rely on a population-average estimate of the value per statistical life (VSL); others adjust VSL for life expectancy at the age of death. The article explores the implications of theory and empirical studies, which suggest that the relationship between age and VSL is uncertain; these uncertainties in turn may affect whether the…
Benefit-Cost Analysis | Preferences/Values | Infectious Diseases | Government/Law | Health/Medicine | North America