COVID-19 deaths: Which explanatory variables matter the most?
Ontology highlight
ABSTRACT: More than a year since the appearance of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), many questions about the disease COVID-19 have been answered; however, many more remain poorly understood. Although the situation continues to evolve, it is crucial to understand what factors may be driving transmission through different populations, both for potential future waves, as well as the implications for future pandemics. In this report, we compiled a database of more than 28 potentially explanatory variables for each of the 50 U.S. states through early May 2020. Using a combination of traditional statistical and modern machine learning approaches, we identified those variables that were the most statistically significant, and, those that were the most important. These variables
SUBMITTER: Riley P
PROVIDER: S-EPMC9022803 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
ACCESS DATA