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A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China

  1. Zhao, Pengcheng
  2. Zhang, Nan
  3. Li, Yuguo

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ijerph-17-03955.pdf 764,84KB
WeightNameValue
1000 Titel
  • A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China
1000 Autor/in
  1. Zhao, Pengcheng |
  2. Zhang, Nan |
  3. Li, Yuguo |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-06-03
1000 Erschienen in
1000 Quellenangabe
  • 17(11):3955
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/ijerph17113955 |
1000 Ergänzendes Material
  • https://www.mdpi.com/1660-4601/17/11/3955#supplementary |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The world has been suffering from the COVID-19 pandemic since late 2019. In this study, we compared various types of infection locations in which COVID-19 cases clustered, based on the data from three adjacent provinces in Northeast China. The collected data include all officially reported cases in this area until 8 March 2020. We explored the associations between the cases and the frequency of infection locations. The COVID-19 epidemic situation was worse in Heilongjiang Province than in Liaoning and Jilin Provinces. Most clustered cases occurred in individual families and/or between relatives. The transmission in public venues served as a hub for transmitting the disease to other families and results in new clusters. The public transport spread the infection over long distances by transporting infected individuals, and most infections did not seem to occur within vehicles. This field study shows the effect of indoor environments on SARS-CoV-2 transmission and our data may be useful in developing guidance for future disease prevention and control.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal cluster
lokal infection location
lokal case report
lokal Northeast China
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbywgUGVuZ2NoZW5n|https://frl.publisso.de/adhoc/uri/WmhhbmcsIE5hbg==|https://frl.publisso.de/adhoc/uri/TGksIFl1Z3Vv
1000 Label
1000 Förderer
  1. Government of Hong Kong Special Administrative Region |
1000 Fördernummer
  1. 17249616; C7025-16G
1000 Förderprogramm
  1. General Research Fund; Collaborative Research Fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Government of Hong Kong Special Administrative Region |
    1000 Förderprogramm General Research Fund; Collaborative Research Fund
    1000 Fördernummer 17249616; C7025-16G
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421219.rdf
1000 Erstellt am 2020-06-04T12:17:34.920+0200
1000 Erstellt von 122
1000 beschreibt frl:6421219
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jun 04 12:20:18 CEST 2020
1000 Objekt bearb. Thu Jun 04 12:20:01 CEST 2020
1000 Vgl. frl:6421219
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421219 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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