Estimating the share of SARS-CoV-2-immunologically naïve individuals in Germany up to June 2022.


Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
15 02 2023
Historique:
pubmed: 16 2 2023
medline: 9 3 2023
entrez: 15 2 2023
Statut: epublish

Résumé

After the winter of 2021/2022, the coronavirus disease 2019 (COVID-19) pandemic had reached a phase where a considerable number of people in Germany have been either infected with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, vaccinated or both, the full extent of which was difficult to estimate, however, because infection counts suffer from under-reporting, and the overlap between the vaccinated and recovered subpopulations is unknown. Yet, reliable estimates regarding population-wide susceptibility were of considerable interest: Since both previous infection and vaccination reduce the risk of severe disease, a low share of immunologically naïve individuals lowers the probability of further severe outbreaks, given that emerging variants do not escape the acquired susceptibility reduction. Here, we estimate the share of immunologically naïve individuals by age group for each of the sixteen German federal states by integrating an infectious-disease model based on weekly incidences of SARS-CoV-2 infections in the national surveillance system and vaccine uptake, as well as assumptions regarding under-ascertainment. We estimate a median share of 5.6% of individuals in the German population have neither been in contact with vaccine nor any variant up to 31 May 2022 (quartile range [2.5%-8.5%]). For the adult population at higher risk of severe disease, this figure is reduced to 3.8% [1.6%-5.9%] for ages 18-59 and 2.1% [1.0%-3.4%] for ages 60 and above. However, estimates vary between German states mostly due to heterogeneous vaccine uptake. Excluding Omicron infections from the analysis, 16.3% [14.1%-17.9%] of the population in Germany, across all ages, are estimated to be immunologically naïve, highlighting the large impact the first two Omicron waves had until the beginning of summer in 2022. The method developed here might be useful for similar estimations in other countries or future outbreaks of other infectious diseases.

Identifiants

pubmed: 36789785
doi: 10.1017/S0950268823000195
pii: S0950268823000195
pmc: PMC10028997
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e38

Références

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Auteurs

Benjamin F Maier (BF)

Robert Koch Institute, Berlin, Germany.
DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark.

Annika H Rose (AH)

Robert Koch Institute, Berlin, Germany.
Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany.

Angelique Burdinski (A)

Robert Koch Institute, Berlin, Germany.
Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany.

Pascal Klamser (P)

Robert Koch Institute, Berlin, Germany.
Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany.

Hannelore Neuhauser (H)

Robert Koch Institute, Berlin, Germany.

Ole Wichmann (O)

Robert Koch Institute, Berlin, Germany.

Lars Schaade (L)

Robert Koch Institute, Berlin, Germany.

Lothar H Wieler (LH)

Robert Koch Institute, Berlin, Germany.

Dirk Brockmann (D)

Robert Koch Institute, Berlin, Germany.
Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany.

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