Resources Repository
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ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Infectious Diseases | Mathematical Models | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Global -
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…
Infectious Diseases | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | North America | Latin America & Caribbean -
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 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 | Mathematical Models | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Health/Medicine | Sub-Saharan Africa -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Infectious Diseases | Mathematical Models | Priority Setting/Ethics | Operations Research | Health/Medicine | North America | Professional | Policy Translation -
ArticlePublication 2017Catastrophic Costs Potentially Averted by TB Control in India and South Africa
This study estimated the reduction in tuberculosis-related catastrophic costs with an aggressive expansion of tuberculosis …
This study estimated the reduction in tuberculosis-related catastrophic costs with an aggressive expansion of tuberculosis services in India and South Africa from 2016 to 2035, in line with the End TB Strategy. The authors investigated three intervention scenarios: improved treatment of drug-sensitive tuberculosis; improved treatment of multidrug-resistant tuberculosis; and expansion of access to tuberculosis care through intensified case finding (South Africa only). In India and South Africa, improvements in treatment for drug-sensitive and multidrug-resistant tuberculosis…
Infectious Diseases | Mathematical Models | Priority Setting/Ethics | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Asia & Pacific -
ArticlePublication 2019Health and Financial Benefits of Averting Malaria in Zambia: An ECEA
This study used the extended cost-effectiveness analysis (ECEA) to examine impact of the hypothetical rollout …
This study used the extended cost-effectiveness analysis (ECEA) to examine impact of the hypothetical rollout of the malaria vaccine RTS,S/AS01 in Zambia on the health benefits of children under five, and financial benefits on their households. The authors assumed a three-dose vaccination schedule (over 6-9 months), and vaccine cost of US$5 per dose. To assess vaccine impact, for each income quintile, they computed the number of under-five malaria deaths prevented, the household out-of-pocket (OOP) malaria-related…
Infectious Diseases | Mathematical Models | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2018Poverty Reduction & Equity Benefits of Measles, Rotavirus and Pneumococcal Vaccines in LMICs
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization …
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization against measles, severe pneumococcal disease and severe rotavirus for birth cohorts vaccinated over 2016–2030 for three scenarios in 41 Gavi-eligible countries: no immunization, current immunization coverage forecasts and the current immunization coverage enhanced with funding support. Following the distribution of the cases by socioeconomic group, the study found that the number of catastrophic health costs (CHC) cases attributable to measles,…
Infectious Diseases | Mathematical Models | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Health/Medicine | Global -
ArticlePublication 2019Spatial Distribution and Characteristics of HIV
This article, published in Tropical Medicine & International Health, aims to identify the spatial and …
This article, published in Tropical Medicine & International Health, aims to identify the spatial and temporal trends, and epidemiologic correlates, of HIV clusters in Ethiopia. The authors use biomarker and survey data from the 2005, 2011, and 2016 Ethiopia Demographic and Health Surveys (DHS), and the spatial-temporal distribution of HIV is estimated using the Kulldorff spatial scan statistic, a likelihood-based method for determining clustering. The study results indicate that in Ethiopia, geographic HIV clusters are…
Infectious Diseases | Mathematical Models | Health Systems | Health/Medicine | Sub-Saharan Africa