Symptom diaries as a digital tool to detect SARS-CoV-2 infections and differentiate between prevalent variants

Symptom diaries as a digital tool to detect SARS-CoV-2 infections and differentiate between prevalent variants

The COVID-19 pandemic and the high numbers of infected individuals pose major challenges for public health departments. To overcome these challenges, the health department in Cologne has developed a software called DiKoMa. This software offers the possibility to track contact and index persons, but...

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Bibliographic Details
Main Authors: Barbara Grüne, Sabine Kugler, Sebastian Ginzel, Anna Wolff, Michael Buess, Annelene Kossow, Annika Küfer-Weiß, Stefan Rüping, Florian Neuhann
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Public Health
Subjects:
SARS-CoV-2
digital symptom diaries
prevalent virus variants
machine learning
classification
symptom combinations
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1030939/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1030939/full

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