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Reciprocal circulation pattern of SARS-CoV-2 and influenza viruses during the influenza seasons 2019/2020 and 2020/2021 in the Bavarian Influenza Sentinel (Germany)

Published online by Cambridge University Press:  26 October 2021

Susanne Heinzinger
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Ute Eberle
Affiliation:
Department of Virology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Hildegard Angermeier
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Jennifer Flechsler
Affiliation:
Department of Virology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Regina Konrad
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Alexandra Dangel
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Carola Berger
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Annika Sprenger
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Sabrina Hepner
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Barbara Biere
Affiliation:
National Reference Center for Influenza, Robert Koch Institute, Berlin, Germany
Bernhard Liebl
Affiliation:
State Institute of Public Health, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany Ludwig Maximilians-Universität, Munich, Germany
Nikolaus Ackermann
Affiliation:
Department of Virology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
Andreas Sing*
Affiliation:
Department of Public Health Microbiology, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany State Institute of Public Health, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany Ludwig Maximilians-Universität, Munich, Germany
*
Author for correspondence: Andreas Sing, E-mail: andreas.sing@lgl.bayern.de
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Abstract

The corona virus disease-2019 (COVID-19) pandemic began in Wuhan, China, and quickly spread around the world. The pandemic overlapped with two consecutive influenza seasons (2019/2020 and 2020/2021). This provided the opportunity to study community circulation of influenza viruses and severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) in outpatients with acute respiratory infections during these two seasons within the Bavarian Influenza Sentinel (BIS) in Bavaria, Germany. From September to March, oropharyngeal swabs collected at BIS were analysed for influenza viruses and SARS-CoV-2 by real-time polymerase chain reaction. In BIS 2019/2020, 1376 swabs were tested for influenza viruses. The average positive rate was 37.6%, with a maximum of over 60% (in January). The predominant influenza viruses were Influenza A(H1N1)pdm09 (n = 202), Influenza A(H3N2) (n = 144) and Influenza B Victoria lineage (n = 129). In all, 610 of these BIS swabs contained sufficient material to retrospectively test for SARS-CoV-2. SARS-CoV-2 RNA was not detectable in any of these swabs. In BIS 2020/2021, 470 swabs were tested for influenza viruses and 457 for SARS-CoV-2. Only three swabs (0.6%) were positive for Influenza, while SARS-CoV-2 was found in 30 swabs (6.6%). We showed that no circulation of SARS-CoV-2 was detectable in BIS during the 2019/2020 influenza season, while virtually no influenza viruses were found in BIS 2020/2021 during the COVID-19 pandemic.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Table 1. Basic data of the BIS 2019/2020 and 2020/2021 in Bavaria, Germany

Figure 1

Fig. 1. Number of samples analysed for influenza viruses, detected subtypes of influenza viruses and proportion of positive influenza virus detections (positivity rate) by CW in the Bavarian Influenza Sentinel 2019/2020 in Bavaria, Germany. Dark blue bar: Influenza A(H1N1)pdm09, blue bar: Influenza A(H3N2), light blue bar: Influenza A not further subtyped, dark green bar: Influenza B Victoria lineage, green bar: Influenza B Yamagata lineage, light green bar: Influenza B not further subtyped, grey bar: negative swabs. Black line: positive rate, dashed lines: upper and lower 95% confidence interval (ci). Note: The first lockdown in Germany started in CW 12/2020.

Figure 2

Fig. 2. (a)Number of samples analysed for SARS-CoV-2 viruses and proportion of positive SARS-CoV-2 detections (positive rate) by CW in the Bavarian Influenza Sentinel 2020/2021 in Bavaria, Germany. Grey bar: negative swabs, orange bars: SARS-CoV-2 positive swabs. Black line: positive rate, dashed lines: upper and lower 95% confidence interval (ci). Note: The second lockdown-‘light’ in Germany started in CW 44/2020. It was replaced by a hard lockdown in CW 51/2020, which lasted until CW 10/2021. (b) SARS-CoV-2 positive rate by CW in the Bavarian Influenza Sentinel 2020/2021 (BIS, dotted line), the four-week average positive rate in BIS (black line) and the positive rate from the Bavarian Health and Food Safety Authority (LGL) mass testing (blue line).

Figure 3

Fig. 3. Number of swabs with positive and negative (a) influenza virus detection in Bavarian Influenza Sentinel (BIS) 2019/2020 and (b) SARS-CoV-2 detection in BIS 2020/2021 in different AGs. The coloured numbers in the bars indicate the respective positive rates.

Figure 4

Table 2. Symptoms of patients infected with influenza virus or SARS-CoV-2 in the BIS 2019/2020, respectively 2020/2021 in Bavaria, Germany and PPV of each symptom