Download
s00103-021-03391-0.pdf 341,58KB
WeightNameValue
1000 Titel
  • COVID-19-Patientinnen und -Patienten in Deutschland: Expositionsrisiken und assoziierte Faktoren für Hospitalisierungen und schwere Krankheitsverläufe
1000 Titelzusatz
  • COVID-19 patients in Germany: exposure risks and associated factors for hospitalization and severe disease
1000 Autor/in
  1. Koppe, Uwe |
  2. Wilking, Hendrik |
  3. Harder, Thomas |
  4. Haas, Walter |
  5. Rexroth, Ute |
  6. Hamouda, Osamah |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-29
1000 Erschienen in
1000 Quellenangabe
  • 64(9):1107-1115
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00103-021-03391-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320410/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) spread worldwide in 2020. By the end of June 2021, over 3.7 million people had been infected in Germany. The spread of the infection, however, is not evenly distributed across all parts of the population. Some groups are at a higher risk for SARS-CoV‑2 infections or severe coronavirus disease 2019 (COVID-19) trajectories than others.This narrative review provides an overview of the parts of the population in Germany that are most affected by COVID-19. In addition, risk factors associated with hospitalization or severe courses of COVID-19 are identified.SARS-CoV‑2 transmission may occur in various locations and settings. Professional settings, e.g., in the meat-processing industry, but also leisure activities and large public events are particularly affected. In the course of the pandemic, certain comorbidities associated with an increased risk for hospitalization or severe courses of COVID-19 have been identified. These include preexisting pulmonary, cardiovascular, and metabolic diseases. Patients with organ transplants and people with Down syndrome (trisomy 21) have the highest risk for hospitalization after SARS-CoV‑2 infection.The identified settings that contribute to the spread of SARS-CoV‑2 and the knowledge about vulnerable groups with a higher risk for hospitalization or severe disease trajectories form an important evidence base for the planning of prevention strategies and the fight against the pandemic.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Hospitalization [MeSH]
lokal Leitthema
lokal Humans [MeSH]
lokal Assoziierte Faktoren
lokal Risk Factors [MeSH]
lokal COVID-19
lokal Germany/epidemiology [MeSH]
lokal Hospitalizations
lokal Severe disease
lokal Pandemics [MeSH]
lokal Associated factors
lokal SARS-CoV‐2
lokal Schwere Verläufe
lokal COVID-19/epidemiology [MeSH]
lokal Hospitalisierung
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S29wcGUsIFV3ZQ==|https://frl.publisso.de/adhoc/uri/V2lsa2luZywgSGVuZHJpaw==|https://frl.publisso.de/adhoc/uri/SGFyZGVyLCBUaG9tYXM=|https://frl.publisso.de/adhoc/uri/SGFhcywgV2FsdGVy|https://frl.publisso.de/adhoc/uri/UmV4cm90aCwgVXRl|https://frl.publisso.de/adhoc/uri/SGFtb3VkYSwgT3NhbWFo
1000 Hinweis
  • DeepGreen-ID: 1e077b67fbb74f5c98626b89fb2590d2 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6452018.rdf
1000 Erstellt am 2023-05-12T11:10:03.386+0200
1000 Erstellt von 322
1000 beschreibt frl:6452018
1000 Zuletzt bearbeitet Tue Oct 24 07:07:42 CEST 2023
1000 Objekt bearb. Tue Oct 24 07:07:42 CEST 2023
1000 Vgl. frl:6452018
1000 Oai Id
  1. oai:frl.publisso.de:frl:6452018 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source