Download
PIIS1201971220302095.pdf 1,86MB
WeightNameValue
1000 Titel
  • Spatial epidemic dynamics of the COVID-19 outbreak in China
1000 Autor/in
  1. Kang, Dayun |
  2. Choi, Hyunho |
  3. Kim, Jong-Hun |
  4. Choi, Jungsoon |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-04-03
1000 Erschienen in
1000 Quellenangabe
  • 94:96-102
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.ijid.2020.03.076 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: On December 31, 2019, an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and to multiple countries. We describe the spatio-temporal pattern and measure the spatial association of the early stages of the COVID-19 epidemic in mainland China from January 16 to February 6, 2020. METHODS: We explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran’s I spatial statistic with various definitions of neighbors was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. RESULTS: We observed the spatial spread of the COVID-19 pandemic in China. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around January 22, 2020. CONCLUSIONS: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association is the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Spatial analysis
lokal China
lokal Spatial autocorrelation
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S2FuZywgRGF5dW4=|https://frl.publisso.de/adhoc/uri/Q2hvaSwgSHl1bmhv|https://frl.publisso.de/adhoc/uri/S2ltLCBKb25nLUh1bg==|https://orcid.org/0000-0001-6815-1006
1000 Label
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
  1. Spatial epidemic dynamics of the COVID-19 outbreak in China
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419791.rdf
1000 Erstellt am 2020-04-07T09:49:15.892+0200
1000 Erstellt von 122
1000 beschreibt frl:6419791
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Thu Sep 16 10:18:51 CEST 2021
1000 Objekt bearb. Thu Sep 16 10:18:51 CEST 2021
1000 Vgl. frl:6419791
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419791 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source