Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32932
Title: Time between Symptom Onset, Hospitalisation and Recovery or Death: Statistical Analysis of Belgian COVID-19 Patients
Authors: FAES, Christel 
ABRAMS, Steven 
Van Beckhoven, Dominique
Meyfroidt, Geert
Vlieghe, Erika
HENS, Niel 
Issue Date: 2020
Publisher: MDPI
Source: International Journal of Environmental Research and Public Health, 17 (20) (Art N° 7560)
Abstract: There are different patterns in the COVID-19 outbreak in the general population and amongst nursing home patients. We investigate the time from symptom onset to diagnosis and hospitalization or the length of stay (LoS) in the hospital, and whether there are differences in the population. Sciensano collected information on 14,618 hospitalized patients with COVID-19 admissions from 114 Belgian hospitals between 14 March and 12 June 2020. The distributions of different event times for different patient groups are estimated accounting for interval censoring and right truncation of the time intervals. The time between symptom onset and hospitalization or diagnosis are similar, with median length between symptom onset and hospitalization ranging between 3 and 10.4 days, depending on the age of the patient (longest delay in age group 20-60 years) and whether or not the patient lives in a nursing home (additional 2 days for patients from nursing home). The median LoS in hospital varies between 3 and 10.4 days, with the LoS increasing with age. The hospital LoS for patients that recover is shorter for patients living in a nursing home, but the time to death is longer for these patients. Over the course of the first wave, the LoS has decreased.
Notes: Faes, C (corresponding author), Univ Hasselt, Data Sci Inst DSI, I BioStat, BE-3500 Hasselt, Belgium.
christel.faes@uhasselt.be; steven.abrams@uhasselt.be;
dominique.vanbeckhoven@sciensano.be; geert.meyfroidt@kuleuven.be;
erika.vlieghe@uantwerpen.be; hospital_datacollection@sciensano.be
Other: Faes, C (corresponding author), Univ Hasselt, Data Sci Inst DSI, I BioStat, BE-3500 Hasselt, Belgium. christel.faes@uhasselt.be; steven.abrams@uhasselt.be; dominique.vanbeckhoven@sciensano.be; geert.meyfroidt@kuleuven.be; erika.vlieghe@uantwerpen.be; hospital_datacollection@sciensano.be
Keywords: COVID-19;COVID-19;length of stay in hospital;length of stay in hospital;symptom onset to hospitalization;symptom onset to hospitalization;truncation and interval-censoring;truncation and interval-censoring
Document URI: http://hdl.handle.net/1942/32932
ISSN: 1661-7827
e-ISSN: 1660-4601
DOI: 10.3390/ijerph17207560
ISI #: WOS:000585720600001
Rights: 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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