Resources Repository
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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…
Infectious Diseases | Health Outcomes | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Latin America & Caribbean -
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…
Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Health Systems | Health/Medicine | Asia & Pacific | Oceania -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Infectious Diseases | Mathematical Models | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2022Hospitalization Costs for COVID-19 in Ethiopia: Empirical Data and Analysis from Addis Ababa's Largest Dedicated Treatment Center
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 …
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 treatment center in Addis Ababa, Ethiopia, the largest dedicated hospital for COVID-19 patient care in the country. Through retrospective collection and analysis of clinical and cost data from March to November 2020, including personnel time, drugs, medical supplies, and facility utilities, the study estimates the cost per treated COVID-19 episode stratified by disease severity. Over the study period, 2,543 COVID-19…
Infectious Diseases | Costing Methods | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2022Child Health Inequity through Case Management of Under-Five Malaria in Nigeria: An ECEA
This study assesses the potential impact of subsidies covering the direct and indirect costs of …
This study assesses the potential impact of subsidies covering the direct and indirect costs of under-five malaria case management in Nigeria, utilizing an extended cost-effectiveness analysis (ECEA) and a decision tree model. Findings reveal that fully subsidizing medical, non-medical, and indirect costs could annually avert over 19,000 under-five deaths, 8,600 cases of catastrophic health expenditure (CHE), and US$187 million in out-of-pocket (OOP) spending. Per US$1 million invested, this translates to a significant reduction in under-five…
Infectious Diseases | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Health/Medicine | Sub-Saharan Africa -
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.
Infectious Diseases | Decision Theory | Priority Setting/Ethics | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | 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,…
Infectious Diseases | Decision Psychology | Preferences/Values | Risk Analysis | 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…
Infectious Diseases | Preferences/Values | Benefit-Cost Analysis | 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…
Infectious Diseases | Preferences/Values | Benefit-Cost Analysis | Government/Law | Health/Medicine | North America