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Epidemiological data from the COVID-19 outbreak, real-time case information

  • Bo Xu
  • , Bernardo Gutierrez
  • , Sumiko Mekaru
  • , Kara Sewalk
  • , Lauren Goodwin
  • , Alyssa Loskill
  • , Emily L. Cohn
  • , Yulin Hswen
  • , Sarah C. Hill
  • , Maria M. Cobo
  • , Alexander E. Zarebski*
  • , Sabrina Li
  • , Chieh Hsi Wu
  • , Erin Hulland
  • , Julia D. Morgan
  • , Lin Wang
  • , Katelynn O’Brien
  • , Samuel V V. Scarpino
  • , John S. Brownstein
  • , Oliver G. Pybus
  • David M. Pigott, Moritz U.G. Kraemer
*Corresponding author for this work
  • Tsinghua University
  • University of Oxford
  • Universidad San Francisco de Quito
  • Boston Children's Hospital
  • Booz Allen Hamilton, Inc.
  • Boston University
  • University of Oxford Medical Sciences Division
  • Oxford University Centre for the Environment
  • University of Southampton
  • University of Washington School of Medicine
  • University of Washington
  • CNRS
  • University of Cambridge
  • Northeastern University
  • Harvard University

Research output: Contribution to journalArticlepeer-review

295 Scopus citations

Abstract

Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making.

Original languageEnglish
Article number106
JournalScientific Data
Volume7
Issue number1
DOIs
StatePublished - 1 Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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