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Epidemiology of Coronavirus Disease in Gansu Province, China, 2020

To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19–epidemic areas. Ch...

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Autores principales: Fan, Jingchun, Liu, Xiaodong, Pan, Weimin, Douglas, Mark W., Bao, Shisan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258465/
https://www.ncbi.nlm.nih.gov/pubmed/32168465
http://dx.doi.org/10.3201/eid2606.200251
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author Fan, Jingchun
Liu, Xiaodong
Pan, Weimin
Douglas, Mark W.
Bao, Shisan
author_facet Fan, Jingchun
Liu, Xiaodong
Pan, Weimin
Douglas, Mark W.
Bao, Shisan
author_sort Fan, Jingchun
collection PubMed
description To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19–epidemic areas. Characteristics that differed significantly during the first and second waves of illness in Gansu Province were mean patient age, occupation, having visited epidemic areas, and mode of transportation. Time from infection to illness onset for family clusters was shorter in Gansu Province than in Wuhan, consistent with shortened durations from onset to first medical visit or hospitalization. Spatial distribution pattern analysis indicated hot spots and spatial outliers in Gansu Province. As a result of adequate interventions, transmission of the COVID-19 virus in Gansu Province is decreasing.
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spelling pubmed-72584652020-06-09 Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 Fan, Jingchun Liu, Xiaodong Pan, Weimin Douglas, Mark W. Bao, Shisan Emerg Infect Dis Research To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19–epidemic areas. Characteristics that differed significantly during the first and second waves of illness in Gansu Province were mean patient age, occupation, having visited epidemic areas, and mode of transportation. Time from infection to illness onset for family clusters was shorter in Gansu Province than in Wuhan, consistent with shortened durations from onset to first medical visit or hospitalization. Spatial distribution pattern analysis indicated hot spots and spatial outliers in Gansu Province. As a result of adequate interventions, transmission of the COVID-19 virus in Gansu Province is decreasing. Centers for Disease Control and Prevention 2020-06 /pmc/articles/PMC7258465/ /pubmed/32168465 http://dx.doi.org/10.3201/eid2606.200251 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Fan, Jingchun
Liu, Xiaodong
Pan, Weimin
Douglas, Mark W.
Bao, Shisan
Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title_full Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title_fullStr Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title_full_unstemmed Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title_short Epidemiology of Coronavirus Disease in Gansu Province, China, 2020
title_sort epidemiology of coronavirus disease in gansu province, china, 2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258465/
https://www.ncbi.nlm.nih.gov/pubmed/32168465
http://dx.doi.org/10.3201/eid2606.200251
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