Ontology highlight
ABSTRACT: Background
Coronavirus disease (COVID-19) has spread exponentially across the United States. Older adults with underlying health conditions are at an especially high risk of developing life-threatening complications if infected. Most intensive care unit (ICU) admissions and non-ICU hospitalizations have been among patients with at least one underlying health condition.Objective
The aim of this study was to develop a model to estimate the risk status of the patients of a nationwide pharmacy chain in the United States, and to identify the geographic distribution of patients who have the highest risk of severe COVID-19 complications.Methods
A risk model was developed using a training test split approach to identify patients who are at high risk of developing serious co
SUBMITTER: Smith-Ray R
PROVIDER: S-EPMC7304254 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature