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Mild manifestations of COVID-19 in healthcare workers.
Li, Jingwen; Long, Xi; Zhang, Qing; Fang, Xi; Li, Na; Lin, Zhicheng; Li, Jinghong; Xiong, Nian.
  • Li J; Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Long X; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Zhang Q; Wuhan Red Cross Hospital, Wuhan, Hubei, China.
  • Fang X; Wuhan Red Cross Hospital, Wuhan, Hubei, China.
  • Li N; Wuhan Red Cross Hospital, Wuhan, Hubei, China.
  • Lin Z; Laboratory of Psychiatric Neurogenomics, McLean Hospital, Harvard Medical School, Belmont, Massachusetts, United States of America.
  • Li J; Department of Medicine, University of California San Diego, La Jolla, California, United States of America.
  • Xiong N; Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
PLoS Negl Trop Dis ; 14(12): e0008950, 2020 12.
Article in English | MEDLINE | ID: covidwho-992645
ABSTRACT
Medical staff treating Coronavirus Disease 2019 (COVID-19) patients are at high risk for exposure to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), and many have been infected, which may cause panic among medical workers, their relatives, health professionals, and government leaders. We report the epidemiologic and clinical characteristics of healthcare workers and that the majority of infected medical staff had milder symptoms/conditions with a better prognosis than admitted patients. Timely improvement to medical staff's working conditions such as allowing adequate rest and providing sufficient medical protection is extremely important.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS Negl Trop Dis Journal subject: Tropical Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pntd.0008950

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS Negl Trop Dis Journal subject: Tropical Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pntd.0008950