The COVID-19 Diagnostic Technology Landscape: Efficient Data Sharing Drives Diagnostic Development

Frontiers in Public Health

article

Eric R. G. R. Aguiar¹  Jesús Navas²  Luis G. C. Pacheco³ 

[1] Department of Biological Sciences, Center of Biotechnology and Genetics, State University of Santa Cruz (UESC);Department of Molecular Biology, Universidad de Cantabria;Department of Biotechnology, Institute of Health Sciences, Federal University of Bahia (UFBA)

关键词: COVID-19;    diagnostics;    Point-of-care (POC);    data sharing;    molecular diagnosis;    immunoassay;   

DOI  :  10.3389/fpubh.2020.00309

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Since the first case descriptions in December 2019, the COVID-19 pandemic has prompted thedevelopment of diagnostic technologies at an unprecedented pace, and the pattern of collaborativescientific data sharing during this period has followed a similar path. A recent bibliometric studydemonstrated that the research publication response to the COVID-19 pandemic was much moreeffective than in other recent epidemic events, namely the 2015–16 Zika virus epidemic and the2014–16 Ebola virus outbreak in West Africa (1). Concerning only preprint publications, therewere over 2,500 articles related to COVID-19 in the first 4 months of the pandemic, as opposedto only 88 articles in total related to both the Zika and Ebola viruses in the same epidemiologicalperiods. Additionally, by the end of April, the total number of COVID-19 publications, includingpreprints and peer-reviewed articles, had already surpassed 16,000 (1). When we searched PubMedspecifically for scientific publications related to COVID-19 diagnostics (search terms: COVID-19AND Diagnostics), it returned at least 930 specific papers in the first 5 months of the COVID19 epidemic period (limited to December 2019–April 2020), while a similar search for Zika virusretrieved only nine publications related to diagnostics in the same time period (limited to March2015–July 2015). Other recent publications have also discussed the efficiency of open data sharingduring the early part of the COVID-19 pandemic, particularly of epidemiological and diagnosticdata, and how it contributed to early interventions (2, 3).

【 授权许可】

CC BY