Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning

Ähnliche Einträge

• Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
  von: Ma, Guoxuan, et al.
  Veröffentlicht: (2023)
• Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
  von: Ma, Guoxuan, et al.
  Veröffentlicht: (2023)
• Kernel-Based Learning of Chest X-ray Images for Predicting ICU Escalation among COVID-19 Patients
  von: Shi, Qiyuan, et al.
  Veröffentlicht: (2026)
• Using Proxy Pattern-Mixture Models to Explain Bias in Estimates of COVID-19 Vaccine Uptake from Two Large Surveys
  von: Andridge, Rebecca R
  Veröffentlicht: (2023)
• COVID-19 Economic Policy Effects on Consumer Spending and Foot Traffic in the U.S
  von: Yang, Zhiqing, et al.
  Veröffentlicht: (2020)