A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark. / O’Regan, Elisabeth; Svalgaard, Ingrid Bech; Sørensen, Anna Irene Vedel; Spiliopoulos, Lampros; Bager, Peter; Nielsen, Nete Munk; Hansen, Jørgen Vinsløv; Koch, Anders; Ethelberg, Steen; Hviid, Anders.

In: Nature Communications, Vol. 14, No. 1, 6266, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

O’Regan, E, Svalgaard, IB, Sørensen, AIV, Spiliopoulos, L, Bager, P, Nielsen, NM, Hansen, JV, Koch, A, Ethelberg, S & Hviid, A 2023, 'A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark', Nature Communications, vol. 14, no. 1, 6266. https://doi.org/10.1038/s41467-023-42048-1

APA

O’Regan, E., Svalgaard, I. B., Sørensen, A. I. V., Spiliopoulos, L., Bager, P., Nielsen, N. M., Hansen, J. V., Koch, A., Ethelberg, S., & Hviid, A. (2023). A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark. Nature Communications, 14(1), [6266]. https://doi.org/10.1038/s41467-023-42048-1

Vancouver

O’Regan E, Svalgaard IB, Sørensen AIV, Spiliopoulos L, Bager P, Nielsen NM et al. A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark. Nature Communications. 2023;14(1). 6266. https://doi.org/10.1038/s41467-023-42048-1

Author

O’Regan, Elisabeth ; Svalgaard, Ingrid Bech ; Sørensen, Anna Irene Vedel ; Spiliopoulos, Lampros ; Bager, Peter ; Nielsen, Nete Munk ; Hansen, Jørgen Vinsløv ; Koch, Anders ; Ethelberg, Steen ; Hviid, Anders. / A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark. In: Nature Communications. 2023 ; Vol. 14, No. 1.

Bibtex

@article{aa3fc3bbefeb4a868779e72fb4ef2925,
title = "A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark",
abstract = "Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1–9 months after the RT-PCR test date. Being female, 50–65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.",
author = "Elisabeth O{\textquoteright}Regan and Svalgaard, {Ingrid Bech} and S{\o}rensen, {Anna Irene Vedel} and Lampros Spiliopoulos and Peter Bager and Nielsen, {Nete Munk} and Hansen, {J{\o}rgen Vinsl{\o}v} and Anders Koch and Steen Ethelberg and Anders Hviid",
note = "Publisher Copyright: {\textcopyright} 2023, Springer Nature Limited.",
year = "2023",
doi = "10.1038/s41467-023-42048-1",
language = "English",
volume = "14",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark

AU - O’Regan, Elisabeth

AU - Svalgaard, Ingrid Bech

AU - Sørensen, Anna Irene Vedel

AU - Spiliopoulos, Lampros

AU - Bager, Peter

AU - Nielsen, Nete Munk

AU - Hansen, Jørgen Vinsløv

AU - Koch, Anders

AU - Ethelberg, Steen

AU - Hviid, Anders

N1 - Publisher Copyright: © 2023, Springer Nature Limited.

PY - 2023

Y1 - 2023

N2 - Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1–9 months after the RT-PCR test date. Being female, 50–65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.

AB - Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1–9 months after the RT-PCR test date. Being female, 50–65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.

U2 - 10.1038/s41467-023-42048-1

DO - 10.1038/s41467-023-42048-1

M3 - Journal article

C2 - 37805514

AN - SCOPUS:85173635560

VL - 14

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 6266

ER -

ID: 370472624