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The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China

Overview of attention for article published in Zhonghua liu xing bing xue za zhi Zhonghua liuxingbingxue zazhi, February 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 686)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Citations

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2687 Dimensions

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2433 Mendeley
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Title
The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China
Published in
Zhonghua liu xing bing xue za zhi Zhonghua liuxingbingxue zazhi, February 2020
DOI 10.3760/cma.j.issn.0254-6450.2020.02.003
Pubmed ID
Authors

Yanping Zhang

Abstract

Objective: An outbreak of 2019 novel coronavirus diseases (COVID-19) in Wuhan, China has spread quickly nationwide. Here, we report results of a descriptive, exploratory analysis of all cases diagnosed as of February 11, 2020. Methods: All COVID-19 cases reported through February 11, 2020 were extracted from China's Infectious Disease Information System. Analyses included: 1) summary of patient characteristics; 2) examination of age distributions and sex ratios; 3) calculation of case fatality and mortality rates; 4) geo-temporal analysis of viral spread; 5) epidemiological curve construction; and 6) subgroup analysis. Results: A total of 72 314 patient records-44 672 (61.8%) confirmed cases, 16 186 (22.4%) suspected cases, 10567 (14.6%) clinical diagnosed cases (Hubei only), and 889 asymptomatic cases (1.2%)-contributed data for the analysis. Among confirmed cases, most were aged 30-79 years (86.6%), diagnosed in Hubei (74.7%), and considered mild (80.9%). A total of 1 023 deaths occurred among confirmed cases for an overall case-fatality rate of 2.3%. The COVID-19 spread outward from Hubei sometime after December 2019 and by February 11, 2020, 1 386 counties across all 31 provinces were affected. The epidemic curve of onset of symptoms peaked in January 23-26, then began to decline leading up to February 11. A total of 1 716 health workers have become infected and 5 have died (0.3%). Conclusions: The COVID-19 epidemic has spread very quickly. It only took 30 days to expand from Hubei to the rest of Mainland China. With many people returning from a long holiday, China needs to prepare for the possible rebound of the epidemic.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,433 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2433 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 304 12%
Researcher 259 11%
Student > Master 253 10%
Student > Ph. D. Student 186 8%
Other 164 7%
Other 506 21%
Unknown 761 31%
Readers by discipline Count As %
Medicine and Dentistry 599 25%
Nursing and Health Professions 144 6%
Biochemistry, Genetics and Molecular Biology 138 6%
Agricultural and Biological Sciences 80 3%
Immunology and Microbiology 70 3%
Other 518 21%
Unknown 884 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 748. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2023.
All research outputs
#27,219
of 25,907,102 outputs
Outputs from Zhonghua liu xing bing xue za zhi Zhonghua liuxingbingxue zazhi
#2
of 686 outputs
Outputs of similar age
#832
of 482,779 outputs
Outputs of similar age from Zhonghua liu xing bing xue za zhi Zhonghua liuxingbingxue zazhi
#2
of 13 outputs
Altmetric has tracked 25,907,102 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 686 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 482,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.