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PDF vom PMID32164079  :  Publisher
PDF vom PMID32164079  :  Publisher

suck abstract from ncbi

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  • Early detection and disease assessment of patients with novel coronavirus pneumonia #MMPMID32164079
  • Zhou L; Liu HG
  • Zhonghua Jie He He Hu Xi Za Zhi 2020[Mar]; 43 (3): 167-170 PMID32164079show ga
  • In December 2019, the outbreak of novel coronavirus (2019-nCoV) in Wuhan, China, attracting attention worldwidely. The novel coronavirus has the characteristics of rapid transmission, atypical clinical symptoms, and easy to affect both lungs, leading to missed diagnosis and misdiagnosis, as well as difficult to detection and assessment at early stage. Fever, cough, myalgia, weakness, dyspnea and imagings may be helpful for the early detection of novel coronavirus pneumonia. At the same time, the rate of disease progression, fever, CT manifestations, hypoxia degree, age, basic diseases, and laboratory indicators can also be used to evaluate the severity of the novel coronavirus pneumonia.
  • |*Disease Outbreaks[MESH]
  • |*Early Diagnosis[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/complications/*diagnosis/epidemiology[MESH]
  • |Cough/etiology[MESH]
  • |Diagnostic Errors[MESH]
  • |Dyspnea/etiology[MESH]
  • |Fever/etiology[MESH]
  • |Humans[MESH]
  • |Myalgia/etiology[MESH]
  • |Pneumonia, Viral/complications/*diagnosis/drug therapy/epidemiology/etiology[MESH]

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  • suck abstract from ncbi

    167 3.43 2020