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Biomarkers of COVID-19 and technologies to combat SARS-CoV-2.
Zhang, Luoping; Guo, Helen.
  • Zhang L; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, 94720, USA.
  • Guo H; Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, CA, 94720, USA.
Adv Biomark Sci Technol ; 2: 1-23, 2020.
Article in English | MEDLINE | ID: covidwho-2288563
ABSTRACT
Due to the unprecedented public health crisis caused by COVID-19, our first contribution to the newly launching journal, Advances in Biomarker Sciences and Technology, has abruptly diverted to focus on the current pandemic. As the number of new COVID-19 cases and deaths continue to rise steadily around the world, the common goal of healthcare providers, scientists, and government officials worldwide has been to identify the best way to detect the novel coronavirus, named SARS-CoV-2, and to treat the viral infection - COVID-19. Accurate detection, timely diagnosis, effective treatment, and future prevention are the vital keys to management of COVID-19, and can help curb the viral spread. Traditionally, biomarkers play a pivotal role in the early detection of disease etiology, diagnosis, treatment and prognosis. To assist myriad ongoing investigations and innovations, we developed this current article to overview known and emerging biomarkers for SARS-CoV-2 detection, COVID-19 diagnostics, treatment and prognosis, and ongoing work to identify and develop more biomarkers for new drugs and vaccines. Moreover, biomarkers of socio-psychological stress, the high-technology quest for new virtual drug screening, and digital applications are described.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Etiology study / Prognostic study Topics: Vaccines Language: English Journal: Adv Biomark Sci Technol Year: 2020 Document Type: Article Affiliation country: J.abst.2020.08.001

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Etiology study / Prognostic study Topics: Vaccines Language: English Journal: Adv Biomark Sci Technol Year: 2020 Document Type: Article Affiliation country: J.abst.2020.08.001