Incidence, symptom clusters and determinants of post-acute COVID symptoms: a population-based surveillance in community-dwelling users of the COVID RADAR app

In this cohort of infected community-dwelling app users, 5%-10% experienced post-acute COVID symptoms. The symptoms cluster in several distinct entities, which differ in incidence, patient characteristics and vaccination effects. This suggests multiple mechanisms underlying the development of post-acute COVID symptoms.

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Publication Details

Journal
BMJ Open
Published
2024-09-01
DOI
https://doi.org/10.1136/bmjopen-2024-087235
Citations
2
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.74

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article

Incidence, symptom clusters and determinants of post-acute COVID symptoms: a population-based surveillance in community-dwelling users of the COVID RADAR app

Miriam L. Haaksma, Leo G. Visser, Frits R. Rosendaal, Astrid van Hylckama Vlieg et al.
2 citations
BMJ Open
Long-Term Effects of COVID-19
0.74
article

Incidence, symptom clusters and determinants of post-acute COVID symptoms: a population-based surveillance in community-dwelling users of the COVID RADAR app

Miriam L. Haaksma, Leo G. Visser, Frits R. Rosendaal, Astrid van Hylckama Vlieg, Willian van Dijk, Jessica C. Kiefte–de Jong, Mattijs E. Numans, Dennis O Mook-Kanamori
article en
2 citations

Abstract

In this cohort of infected community-dwelling app users, 5%-10% experienced post-acute COVID symptoms. The symptoms cluster in several distinct entities, which differ in incidence, patient characteristics and vaccination effects. This suggests multiple mechanisms underlying the development of post-acute COVID symptoms.

BMJ OpenVol. 14(9)
Leiden University Medical Center (NL)
ZonMw
Good health and well-being
Openalex Percentile: Top 27%
Long-Term Effects of COVID-19
0.74
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