Joseph Galasso

ORCID: 0000-0002-9013-359X
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 Research
  • Influenza Virus Research Studies
  • Data Analysis with R
  • Gene Regulatory Network Analysis
  • Data-Driven Disease Surveillance
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics

University of California, Los Angeles
2024

University of Dallas
2021-2022

A bstract During the COVID-19 pandemic, predicting case spikes at local level is important for a precise, targeted public health response and generally done with compartmental models. The performance of models highly dependent on accuracy their assumptions about disease dynamics within population; thus, such are susceptible to human error, unexpected events, or unknown characteristics novel infectious agent like COVID-19. We present relatively non-parametric random forest model that...

10.1101/2021.05.23.21257689 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-05-25
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