Epidemiology of 2019 Novel Coronavirus Disease-19 in Gansu Province, China, 2020.
Identifieur interne : 003373 ( Ncbi/Checkpoint ); précédent : 003372; suivant : 003374Epidemiology of 2019 Novel Coronavirus Disease-19 in Gansu Province, China, 2020.
Auteurs : Jingchun Fan ; Xiaodong Liu ; Weimin Pan ; Mark W. Douglas ; Shisan BaoSource :
- Emerging infectious diseases [ 1080-6059 ] ; 2020.
Abstract
To determine the epidemiology of 2019 novel 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.
DOI: 10.3201/eid2606.200251
PubMed: 32168465
Affiliations:
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<front><div type="abstract" xml:lang="en">To determine the epidemiology of 2019 novel 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.</div>
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