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…
Chronic Disease/Risk | Infectious Diseases | Health Outcomes | Microsimulation | Calibration/Validation | 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…
Health Systems | Chronic Disease/Risk | Health Outcomes | Microsimulation | Calibration/Validation | Clinical Care | Global -
ArticlePublication 2014Step-by-Step Guideline for Disease-Specific Costing Studies in LMIC
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information …
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. This paper provides a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and illustrates how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study…
Health Systems | Chronic Disease/Risk | Costing Methods | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2022Healthcare Cost of Overweight & Obesity in South Africa
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective …
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective of the South African public sector payer. The authors report that the total cost of overweight and obesity is estimated to be ZAR33,194 million in 2020, representing approximately 15% of government health expenditure and equivalent to 0.67% of GDP. This analysis is an example of a bottom-up gross costing approach. The study draws South African data from multiple sources to estimate…
Health Systems | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Health/Medicine | 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…
Chronic Disease/Risk | Infectious Diseases | Mathematical Models | Health/Medicine -
ArticlePublication 2020Online Competition between Pro- and Anti-Vaccination Views
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, …
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks as happened for measles in 2019. Homemade remedies and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice. There is a lack of understanding about how this distrust evolves at the system level. Authors provide a map of the contention surrounding vaccines that has…
Health Systems | Infectious Diseases | Decision Psychology | Preferences/Values | Social Determinants | Policy/Regulation | Culture/Society | Government/Law | Health/Medicine | Science/Technology | North America -
NewsPublication 2020Managing the COVID-19 Infodemic: Promoting Healthy Behaviors and Mitigating the Harm from Misinformation and Disinformation
The COVID-19 pandemic is the first in history in which technology and social media are …
The COVID-19 pandemic is the first in history in which technology and social media are being used on a massive scale to keep people safe, informed, productive, and connected. At the same time, the technology we rely on to keep connected and informed enables and amplifies an infodemic that continues to undermine the global response and jeopardizes measures to control the pandemic. This description was adapted from the joint statement.
Health Systems | Infectious Diseases | Decision Psychology | Preferences/Values | Social Determinants | Global Governance | Culture/Society | Government/Law | Health/Medicine | Science/Technology | Global -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Health Systems | Infectious Diseases | Probability/Bayes | Test Performance | Technology Assessment | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
ArticlePublication 2020Economic Evaluation of HBV Birth Dose Vaccination
This article, published in Cost Effectiveness and Resource Allocation, examines the cost-effectiveness of a birth …
This article, published in Cost Effectiveness and Resource Allocation, examines the cost-effectiveness of a birth dose of HBV vaccine in a medical setting in Ethiopia. The authors construct a decision analytic model with a Markov process to estimate the costs and effects of a birth dose of HBV vaccine, compared with current practices in Ethiopia. Based on the cost-effectiveness findings, introducing a birth dose of HBV vaccine in Ethiopia would likely be highly cost-effective. Such…
Health Systems | Infectious Diseases | Cost-Effectiveness Analysis | Health/Medicine | Sub-Saharan Africa