Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.

Pandemic scenarios like SARS-Cov-2 require rapid information aggregation. In the age of eHealth and data-driven medicine, publicly available symptom tracking tools offer efficient and scalable means of collecting and analyzing large amounts of data. As a result, information gains can be communicated...

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Autores principales:	Leander Melms, Evelyn Falk, Bernhard Schieffer, Andreas Jerrentrup, Uwe Wagner, Sami Matrood, Jürgen R Schaefer, Tobias Müller, Martin Hirsch
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c3a45d7897a4c619b37b707f5398c21
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spelling	oai:doaj.org-article:2c3a45d7897a4c619b37b707f5398c212021-12-02T20:16:18ZTowards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.1932-620310.1371/journal.pone.0258649https://doaj.org/article/2c3a45d7897a4c619b37b707f5398c212021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258649https://doaj.org/toc/1932-6203Pandemic scenarios like SARS-Cov-2 require rapid information aggregation. In the age of eHealth and data-driven medicine, publicly available symptom tracking tools offer efficient and scalable means of collecting and analyzing large amounts of data. As a result, information gains can be communicated to front-line providers. We have developed such an application in less than a month and reached more than 500 thousand users within 48 hours. The dataset contains information on basic epidemiological parameters, symptoms, risk factors and details on previous exposure to a COVID-19 patient. Exploratory Data Analysis revealed different symptoms reported by users with confirmed contacts vs. no confirmed contacts. The symptom combination of anosmia, cough and fatigue was the most important feature to differentiate the groups, while single symptoms such as anosmia, cough or fatigue alone were not sufficient. A linear regression model from the literature using the same symptom combination as features was applied on all data. Predictions matched the regional distribution of confirmed cases closely across Germany, while also indicating that the number of cases in northern federal states might be higher than officially reported. In conclusion, we report that symptom combinations anosmia, fatigue and cough are most likely to indicate an acute SARS-CoV-2 infection.Leander MelmsEvelyn FalkBernhard SchiefferAndreas JerrentrupUwe WagnerSami MatroodJürgen R SchaeferTobias MüllerMartin HirschPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0258649 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Leander Melms Evelyn Falk Bernhard Schieffer Andreas Jerrentrup Uwe Wagner Sami Matrood Jürgen R Schaefer Tobias Müller Martin Hirsch Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
description	Pandemic scenarios like SARS-Cov-2 require rapid information aggregation. In the age of eHealth and data-driven medicine, publicly available symptom tracking tools offer efficient and scalable means of collecting and analyzing large amounts of data. As a result, information gains can be communicated to front-line providers. We have developed such an application in less than a month and reached more than 500 thousand users within 48 hours. The dataset contains information on basic epidemiological parameters, symptoms, risk factors and details on previous exposure to a COVID-19 patient. Exploratory Data Analysis revealed different symptoms reported by users with confirmed contacts vs. no confirmed contacts. The symptom combination of anosmia, cough and fatigue was the most important feature to differentiate the groups, while single symptoms such as anosmia, cough or fatigue alone were not sufficient. A linear regression model from the literature using the same symptom combination as features was applied on all data. Predictions matched the regional distribution of confirmed cases closely across Germany, while also indicating that the number of cases in northern federal states might be higher than officially reported. In conclusion, we report that symptom combinations anosmia, fatigue and cough are most likely to indicate an acute SARS-CoV-2 infection.
format	article
author	Leander Melms Evelyn Falk Bernhard Schieffer Andreas Jerrentrup Uwe Wagner Sami Matrood Jürgen R Schaefer Tobias Müller Martin Hirsch
author_facet	Leander Melms Evelyn Falk Bernhard Schieffer Andreas Jerrentrup Uwe Wagner Sami Matrood Jürgen R Schaefer Tobias Müller Martin Hirsch
author_sort	Leander Melms
title	Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
title_short	Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
title_full	Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
title_fullStr	Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
title_full_unstemmed	Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.
title_sort	towards a covid-19 symptom triad: the importance of symptom constellations in the sars-cov-2 pandemic.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2c3a45d7897a4c619b37b707f5398c21
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Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic.

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