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Epidemiological data from the COVID-19 outbreak, real-time case information.
Xu, Bo; Gutierrez, Bernardo; Mekaru, Sumiko; Sewalk, Kara; Goodwin, Lauren; Loskill, Alyssa; Cohn, Emily L; Hswen, Yulin; Hill, Sarah C; Cobo, Maria M; Zarebski, Alexander E; Li, Sabrina; Wu, Chieh-Hsi; Hulland, Erin; Morgan, Julia D; Wang, Lin; O'Brien, Katelynn; Scarpino, Samuel V; Brownstein, John S; Pybus, Oliver G; Pigott, David M; Kraemer, Moritz U G.
  • Xu B; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
  • Gutierrez B; Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Mekaru S; Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Sewalk K; School of Biological and Environmental Sciences, Universidad San Francisco de Quito USFQ, Quito, Ecuador.
  • Goodwin L; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Loskill A; Booz Allen Hamilton, Westborough Massachusetts, United States.
  • Cohn EL; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Hswen Y; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Hill SC; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Cobo MM; School of Public Health, Boston University, Boston, United States.
  • Zarebski AE; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Li S; Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
  • Wu CH; Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Hulland E; School of Biological and Environmental Sciences, Universidad San Francisco de Quito USFQ, Quito, Ecuador.
  • Morgan JD; Department of Paediatrics, University of Oxford, Oxford, United Kingdom.
  • Wang L; Department of Zoology, University of Oxford, Oxford, United Kingdom. alexander.zarebski@zoo.ox.ac.uk.
  • O'Brien K; Department of Zoology, University of Oxford, Oxford, United Kingdom.
  • Scarpino SV; School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
  • Brownstein JS; Mathematical Sciences, University of Southampton, Southampton, United Kingdom.
  • Pybus OG; Department of Health Metrics Sciences, University of Washington, Seattle, United States.
  • Pigott DM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.
  • Kraemer MUG; Department of Health Metrics Sciences, University of Washington, Seattle, United States.
Sci Data ; 7(1): 106, 2020 03 24.
Article in English | MEDLINE | ID: covidwho-15533
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-0448-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-0448-0