Resources Repository
-
ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
Mathematical Models | Infectious Diseases | State-Transition | Benefit-Cost Analysis | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | North America -
ArticlePublication 2023Cost-Effectiveness of Novel TB Vaccines: A Modeling Study
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines …
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines in 105 low- and middle-income countries (LMICs) for a range of product characteristics and delivery strategies, compared to a ‘no-new-vaccine’ counterfactual. Vaccine scenarios considered two vaccine product profiles (one targeted at infants, one at adolescents/adults), both assumed to prevent progression to active TB. Vaccine introduction was estimated to require substantial near-term resources, offset by future cost-savings from averted TB burden.…
Mathematical Models | Infectious Diseases | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2022Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden in Brazilian Municipalities
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas …
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas of highest need. This study developed an approach for generating small area estimates of TB incidence, and the fraction of individuals missed by routine case detection, based on available notification and mortality data. The approach is demonstrated by estimating TB outcomes for 5568 municipalities in Brazil, revealing substantial subnational differences in disease burden and other metrics useful for designing high-impact…
Mathematical Models | Infectious Diseases | Health Outcomes | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2022Early HPV Natural History Transitions
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on …
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on accurate transition risks for human papillomavirus (HPV) infection, persistence (or absence of HPV clearance), progression to precancerous lesions, and invasion. To inform the refinement of such models, we compared the early natural history of HPV types using prospective data from immunocompetent women in the Guanacaste Natural History Study, the ASCUS-LSIL Triage Study, and the Costa Rica HPV Vaccine Trial. We…
Mathematical Models | Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | North America | Latin America & Caribbean -
ArticlePublication 2020Impact of Treatment and Imaging Modalities on 5-Year Net Survival of 11 Cancers in 200 Countries
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 …
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 countries/territories for 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). The paper estimated current 5-year net survival for diagnosed cancers in each country and potential survival gains from increasing the availability of individual treatment and imaging modalities, and more comprehensive packages of scale-up. Global 5-year net survival for all 11 cancers (combined) is…
Calibration/Validation | Health Systems | Priority Setting/Ethics | Health Outcomes | Microsimulation | Chronic Disease/Risk | Global -
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 | Infectious Diseases | Health Outcomes | Microsimulation | 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 Systems | Health Outcomes | Microsimulation | Chronic Disease/Risk | Clinical Care | Global -
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…
Mathematical Models | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
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…
Mathematical Models | Infectious Diseases | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Health/Medicine | Sub-Saharan Africa