Real-time analysis of hospital length of stay in a mixed SARS-CoV-2 Omicron and Delta epidemic in New South Wales, Australia.

ABSTRACT:

Background

The distribution of the duration that clinical cases of COVID-19 occupy hospital beds (the 'length of stay') is a key factor in determining how incident caseloads translate into health system burden. Robust estimation of length of stay in real-time requires the use of survival methods that can account for right-censoring induced by yet unobserved events in patient progression (e.g. discharge, death). In this study, we estimate in real-time the length of stay distributions of hospitalised COVID-19 cases in New South Wales, Australia, comparing estimates between a period where Delta was the dominant variant and a subsequent period where Omicron was dominant.

Methods

Using data on the hospital stays of 19,574 individuals who tested positive to COVID-19 prior to admis

SUBMITTER: Tobin RJ 

PROVIDER: S-EPMC9844941 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature