Advances in Covid-19 research until November 2020
Update from the Uncover registry
Bibliographic Data
| ID | 19552159 |
|---|---|
| Authors | Xiaomeng Zhang (0000-0002-4190-2751, University of Edinburgh), Wei Xu (0000-0002-4727-1540, University of Edinburgh), Marshall Dozier (0000-0002-5151-1252, University of Edinburgh), Farirai Peter Nzvere (0000-0002-3260-6889, University of Edinburgh), Prerna Krishan (0000-0002-7494-2661, University of Edinburgh), Yazhou He (0000-0003-2358-0143, University of Edinburgh), Xue Li (0000-0003-2994-8930, Second Affiliated Hospital of Zhejiang University), Evropi Τheodoratou (0000-0001-5887-9132, University of Edinburgh, corresponding author), Evropi Theodoratou |
| Year | 2021 |
| Volume | 11 |
| Pages | 03022-03022 |
| Publication date | 2021-01-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2047-2978 • E-ISSN: 2047-2986 |
| Publisher | International Global Health Society (PUBLISHER) |
| DOI | 10.7189/jogh.11.03022 |
| PMID | 33643632 |
| OpenAlex | W3127877628 |
| Language | EN |
| References cited | 6 |
Since the declaration of Coronavirus Disease 2019 (COVID-19) pandemic on 11 March 2020 by the WHO, an accumulated number of at least 70 461 926 confirmed cases and 1 599 704 deaths in 216 countries/ territories has been recorded by 14/12/2020 [1]. In line with the established WHO global research roadmap for COVID-19 [2], the UNCOVER (Usher Network for COVID-19 Evidence Reviews) group committed to summarise COVID-19 evidence-based reviews for policymakers, clinicians and researchers to respond quickly to the outbreak of COVID-19. To assist in policy and clinical decision making and to avoid duplicate efforts, we created the UNCOVER registry of reviews, an online collection of published and ongoing reviews. Details of the UNCOVER registry have been previously reported [3] and here we present an update in relation to the main characteristics of the current collection
Declaration · Disease · Family medicine · Grey literature · Library science · MEDLINE · Pandemic · Pathology · Political science · Systematic review · Computer Science · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · Medicine · Meta-analysis and systematic reviews
| Highly cited | No |
|---|