Work

Aggregating data from COVID-19 trials

Year: 2020

Type: article

Abstract: SDSC

Source: Science

DOI: 10.1126/science.abc8993

Authors: Elizabeth L. Ogburn, Barbara E. Bierer, Ron Brookmeyer, Christine Choirat, Natalie E. Dean, Victor De Gruttola, Susan S. Ellenberg, M. Elizabeth Halloran, Daniel F. Hanley, Joseph K. Lee, Rui Wang, Daniel O. Scharfstein

Institutions: Johns Hopkins University, Brigham and Women's Hospital, Harvard University, University of California, Los Angeles, ETH Zurich, Swiss Data Science Center, École Polytechnique Fédérale de Lausanne, University of Florida, University of Pennsylvania, University of Washington, Fred Hutch Cancer Center, Harvard Pilgrim Health Care

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G2760507634, Johns Hopkins-Tufts Trial Innovation Center, California Center for Population Research (CCPR) at UCLA

OpenAlex ID: W3035403545

FWCI: 0.211

Cites: 8

Cited by: 8

Related to: 10