Resources Repository
-
ArticlePublication 2021Health Gains and Financial Protection from HPV Vaccination
High out-of-pocket medical expenses for cervical cancer can lead to catastrophic health expenditures and medical …
High out-of-pocket medical expenses for cervical cancer can lead to catastrophic health expenditures and medical impoverishment in many low-resource settings. This article uses a static cohort model that captures the main features of HPV vaccines and population demographics to project health and economic outcomes associated with routine HPV vaccination in Ethiopia. The findings show that, assuming 100% vaccine efficacy against HPV-16/18 and 50% vaccination coverage, routine HPV vaccination could avert up to 970 000 cases…
Infectious Diseases | Priority Setting/Ethics | Microsimulation | Sub-Saharan Africa -
ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Infectious Diseases | Decision Theory | Costing Methods | Health Outcomes | State-Transition | Decision Analysis | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Middle East & North Africa -
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…
Infectious Diseases | Health Outcomes | Mathematical Models | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2022Re-Evaluating the Health Impact and Cost-Effectiveness of Tuberculosis Prevention for Modern ART Cohorts
TB preventive therapy (TPT) is widely accepted to be cost-effective for reducing TB incidence in …
TB preventive therapy (TPT) is widely accepted to be cost-effective for reducing TB incidence in HIV-infected individuals receiving antiretroviral therapy (ART). However, as individuals initiate ART earlier in the course of disease, TB incidence is lower, and it is unclear how ART cost-effectiveness has changed. This study assessed the cost-effectiveness of TPT in contemporary ART cohorts. The authors developed a microsimulation model of TB and HIV and parameterised it using data from a large HIV…
Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | Health/Medicine | Global | Sub-Saharan Africa -
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 | Health Outcomes | Mathematical Models | 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 | Priority Setting/Ethics | Mathematical Models | 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 | Priority Setting/Ethics | Mathematical Models | 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 | Priority Setting/Ethics | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Sub-Saharan Africa