Results of the Cologne Corona surveillance (CoCoS) study - a prospective population-based cohort study: incidence data and potential underestimation of new SARS-CoV-2 adult infections by health authorities.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
19 07 2022
Historique:
received: 22 11 2021
accepted: 28 06 2022
entrez: 19 7 2022
pubmed: 20 7 2022
medline: 22 7 2022
Statut: epublish

Résumé

Current incidence estimates of SARS-CoV-2 in Germany rely to a large extent on case notifications. However, the large number of mild or asymptomatic infections is likely to result in underestimation. Population-based studies can provide valid estimates of the SARS-CoV-2 incidence and thus support health authorities to monitor the epidemiological situation and to initiate, maintain, strengthen or relax effective countermeasures. This study was conducted in Cologne, Germany. Six-thousand randomly drawn Cologne residents, 18 years of age or older, were contacted by mail in March 2021. Study envelopes contained a kit for self-administered saliva sample and access details to a questionnaire on sociodemographic characteristics, previous positive SARS-CoV-2 RT-qPCR and completed COVID-19 vaccinations. Participants were again invited for a second round in June 2021, while those who declined participation were replaced by additional randomly drawn Cologne residents in order to reach a total of 6000 potential participants again. The saliva samples were sent to the laboratory by mail and tested for SARS-CoV-2 using RT-qPCR. The incidence estimates were adjusted for sensitivity and specificity of the test procedure and compared with the official numbers of new SARS-CoV-2 cases in the adult Cologne population. The first surveillance round in March 2021 (response rate: 34.08%, N = 2045) showed a SARS-CoV-2 seven-day incidence of 85 cases per 100,000 adult Cologne residents (95% CI: 9 to 319). In the same period, the officially registered cases were 125 per 100,000. The second surveillance round in June 2021 (response rate: 36.53%, N = 2192) showed a seven-day incidence of 27 per 100,000 adult Cologne residents (95% CI: 1 to 142), while the official figures for newly registered SARS-CoV-2 cases in the same period were 15 per 100,000. The incidence estimates do not indicate relevant underestimation of new SARS-CoV-2 infections based on case notification. Regular use of the surveillance method developed here may nevertheless complement the efforts of the health authorities to assess the epidemiological situation. DRKS.de, German Clinical Trials Register (DRKS), Identifier: DRKS00024046 , Registered on 25 February 2021.

Sections du résumé

BACKGROUND
Current incidence estimates of SARS-CoV-2 in Germany rely to a large extent on case notifications. However, the large number of mild or asymptomatic infections is likely to result in underestimation. Population-based studies can provide valid estimates of the SARS-CoV-2 incidence and thus support health authorities to monitor the epidemiological situation and to initiate, maintain, strengthen or relax effective countermeasures.
METHODS
This study was conducted in Cologne, Germany. Six-thousand randomly drawn Cologne residents, 18 years of age or older, were contacted by mail in March 2021. Study envelopes contained a kit for self-administered saliva sample and access details to a questionnaire on sociodemographic characteristics, previous positive SARS-CoV-2 RT-qPCR and completed COVID-19 vaccinations. Participants were again invited for a second round in June 2021, while those who declined participation were replaced by additional randomly drawn Cologne residents in order to reach a total of 6000 potential participants again. The saliva samples were sent to the laboratory by mail and tested for SARS-CoV-2 using RT-qPCR. The incidence estimates were adjusted for sensitivity and specificity of the test procedure and compared with the official numbers of new SARS-CoV-2 cases in the adult Cologne population.
RESULTS
The first surveillance round in March 2021 (response rate: 34.08%, N = 2045) showed a SARS-CoV-2 seven-day incidence of 85 cases per 100,000 adult Cologne residents (95% CI: 9 to 319). In the same period, the officially registered cases were 125 per 100,000. The second surveillance round in June 2021 (response rate: 36.53%, N = 2192) showed a seven-day incidence of 27 per 100,000 adult Cologne residents (95% CI: 1 to 142), while the official figures for newly registered SARS-CoV-2 cases in the same period were 15 per 100,000.
CONCLUSIONS
The incidence estimates do not indicate relevant underestimation of new SARS-CoV-2 infections based on case notification. Regular use of the surveillance method developed here may nevertheless complement the efforts of the health authorities to assess the epidemiological situation.
TRIAL REGISTRATION
DRKS.de, German Clinical Trials Register (DRKS), Identifier: DRKS00024046 , Registered on 25 February 2021.

Identifiants

pubmed: 35854283
doi: 10.1186/s12889-022-13745-1
pii: 10.1186/s12889-022-13745-1
pmc: PMC9294849
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1379

Informations de copyright

© 2022. The Author(s).

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Auteurs

Max Oberste (M)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Lynn-Marie Pusch (LM)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Rebecca Roth (R)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Kija Shah-Hosseini (K)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Jana Schmitz (J)

Institute of Virology, Medical Faculty and University Hospital Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Eva Heger (E)

Institute of Virology, Medical Faculty and University Hospital Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Felix Dewald (F)

Institute of Virology, Medical Faculty and University Hospital Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Claudia Müller (C)

Institute of Virology, Medical Faculty and University Hospital Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Luise Stach von Goltzheim (LS)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Clara Lehmann (C)

Department of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50931, Cologne, Germany.

Michael Buess (M)

Cologne Health Authority, Cologne, Germany.

Anna Wolff (A)

Cologne Health Authority, Cologne, Germany.

Gerd Fätkenheuer (G)

Department of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50931, Cologne, Germany.

Gerhard Wiesmüller (G)

Cologne Health Authority, Cologne, Germany.

Florian Klein (F)

Institute of Virology, Medical Faculty and University Hospital Cologne, University of Cologne, Fürst-Pückler-Straße 56, 50935, Cologne, Germany.

Kerstin Daniela Rosenberger (KD)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany.

Florian Neuhann (F)

Cologne Health Authority, Cologne, Germany.
Heidelberg Institute of Global Health, University Heidelberg, Heidelberg, Germany.
School of Medicine and Clinical Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia.

Martin Hellmich (M)

Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany. martin.hellmich@uni-koeln.de.

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