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Prevalence and Risk Factors of Infection in the Representative COVID-19 Cohort Munich.
Pritsch, Michael; Radon, Katja; Bakuli, Abhishek; Le Gleut, Ronan; Olbrich, Laura; Guggenbüehl Noller, Jessica Michelle; Saathoff, Elmar; Castelletti, Noemi; Garí, Mercè; Pütz, Peter; Schälte, Yannik; Frahnow, Turid; Wölfel, Roman; Rothe, Camilla; Pletschette, Michel; Metaxa, Dafni; Forster, Felix; Thiel, Verena; Rieß, Friedrich; Diefenbach, Maximilian Nikolaus; Fröschl, Günter; Bruger, Jan; Winter, Simon; Frese, Jonathan; Puchinger, Kerstin; Brand, Isabel; Kroidl, Inge; Hasenauer, Jan; Fuchs, Christiane; Wieser, Andreas; Hoelscher, Michael.
  • Pritsch M; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Radon K; German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany.
  • Bakuli A; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
  • Le Gleut R; Center for International Health (CIH), University Hospital, LMU Munich, 80336 Munich, Germany.
  • Olbrich L; Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany.
  • Guggenbüehl Noller JM; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Saathoff E; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany.
  • Castelletti N; Helmholtz Zentrum München-German Research Center for Environmental Health, Core Facility Statistical Consulting, 85764 Neuherberg, Germany.
  • Garí M; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Pütz P; German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany.
  • Schälte Y; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Frahnow T; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Wölfel R; German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany.
  • Rothe C; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Pletschette M; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany.
  • Metaxa D; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany.
  • Forster F; Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany.
  • Thiel V; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany.
  • Rieß F; Center for Mathematics, Technische Universität München, 85748 Garching, Germany.
  • Diefenbach MN; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764 Neuherberg, Germany.
  • Fröschl G; Faculty of Business Administration and Economics, Bielefeld University, 33615 Bielefeld, Germany.
  • Bruger J; German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany.
  • Winter S; Bundeswehr Institute of Microbiology, 80937 Munich, Germany.
  • Frese J; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Puchinger K; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Brand I; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Kroidl I; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
  • Hasenauer J; Comprehensive Pneumology Center (CPC) Munich, German Center for Lung Research (DZL), 89337 Munich, Germany.
  • Fuchs C; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Wieser A; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
  • Hoelscher M; German Center for Infection Research (DZIF), Partner Site Munich, 80802 Munich, Germany.
  • On Behalf Of The KoCo Study Group; Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802 Munich, Germany.
Int J Environ Res Public Health ; 18(7)2021 03 30.
Article in English | MEDLINE | ID: covidwho-1160500
Semantic information from SemMedBD (by NLM)
1. 2019 novel coronavirus PROCESS_OF General Population
Subject
2019 novel coronavirus
Predicate
PROCESS_OF
Object
General Population
2. 2019 novel coronavirus PROCESS_OF General Population
Subject
2019 novel coronavirus
Predicate
PROCESS_OF
Object
General Population
ABSTRACT
Given the large number of mild or asymptomatic SARS-CoV-2 cases, only population-based studies can provide reliable estimates of the magnitude of the pandemic. We therefore aimed to assess the sero-prevalence of SARS-CoV-2 in the Munich general population after the first wave of the pandemic. For this purpose, we drew a representative sample of 2994 private households and invited household members 14 years and older to complete questionnaires and to provide blood samples. SARS-CoV-2 seropositivity was defined as Roche N pan-Ig ≥ 0.4218. We adjusted the prevalence for the sampling design, sensitivity, and specificity. We investigated risk factors for SARS-CoV-2 seropositivity and geospatial transmission patterns by generalized linear mixed models and permutation tests. Seropositivity for SARS-CoV-2-specific antibodies was 1.82% (95% confidence interval (CI) 1.28-2.37%) as compared to 0.46% PCR-positive cases officially registered in Munich. Loss of the sense of smell or taste was associated with seropositivity (odds ratio (OR) 47.4; 95% CI 7.2-307.0) and infections clustered within households. By this first population-based study on SARS-CoV-2 prevalence in a large German municipality not affected by a superspreading event, we could show that at least one in four cases in private households was reported and known to the health authorities. These results will help authorities to estimate the true burden of disease in the population and to take evidence-based decisions on public health measures.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus Infections / COVID-19 Type of study: Etiology study / Observational study / Prevalence study / Prognostic study / Risk factors Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18073572

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus Infections / COVID-19 Type of study: Etiology study / Observational study / Prevalence study / Prognostic study / Risk factors Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18073572