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Severe acute respiratory syndrome and Yi Guan

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Severe acute respiratory syndrome and Yi Guan

Severe acute respiratory syndrome vs. Yi Guan

Severe acute respiratory syndrome (SARS) is a viral respiratory disease of zoonotic origin caused by the SARS coronavirus (SARS-CoV). Yi Guan is a Chinese virologist who, in 2014, was ranked as 11th in the world by Thomson Reuters (now known as Clarivate Analytics) among global researchers in the field of microbiology.

Similarities between Severe acute respiratory syndrome and Yi Guan

Severe acute respiratory syndrome and Yi Guan have 3 things in common (in Unionpedia): Timeline of the SARS outbreak, University of Hong Kong, World Health Organization.

Timeline of the SARS outbreak

The following is a timeline of the 2002–04 outbreak of severe acute respiratory syndrome (SARS).

Severe acute respiratory syndrome and Timeline of the SARS outbreak · Timeline of the SARS outbreak and Yi Guan · See more »

University of Hong Kong

The University of Hong Kong (often abbreviated as HKU) is a public research university located in Pokfulam, Hong Kong.

Severe acute respiratory syndrome and University of Hong Kong · University of Hong Kong and Yi Guan · See more »

World Health Organization

The World Health Organization (WHO; French: Organisation mondiale de la santé) is a specialized agency of the United Nations that is concerned with international public health.

Severe acute respiratory syndrome and World Health Organization · World Health Organization and Yi Guan · See more »

The list above answers the following questions

Severe acute respiratory syndrome and Yi Guan Comparison

Severe acute respiratory syndrome has 100 relations, while Yi Guan has 24. As they have in common 3, the Jaccard index is 2.42% = 3 / (100 + 24).

References

This article shows the relationship between Severe acute respiratory syndrome and Yi Guan. To access each article from which the information was extracted, please visit:

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