Evidence map›Paper›PMID 32210236›Full record

ArticleScientific data2020

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 and 12 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

172 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Private Continuous Survival Analysis with Distributed Multi-Site Data.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Lessons from COVID-19 for rescalable data collection.The Lancet. Infectious diseases · 2023
    Review
  18. Article
  19. Article
  20. Innovative platforms for data aggregation, linkage and analysis in the context of pandemic and epidemic intelligence.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article

112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Bo Xu *Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
Bernardo Gutierrez *Department of Zoology, University of Oxford, Oxford, United Kingdom.
Sumiko Mekaru *Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Kara Sewalk *Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Lauren Goodwin *Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Alyssa Loskill *Computational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Emily L CohnComputational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Yulin HswenComputational Epidemiology Lab, Boston Children's Hospital, Boston, United States.ORCID http://orcid.org/0000-0003-3203-1322
Sarah C HillDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Maria M CoboSchool of Biological and Environmental Sciences, Universidad San Francisco de Quito USFQ, Quito, Ecuador.
Alexander E ZarebskiDepartment of Zoology, University of Oxford, Oxford, United Kingdom. alexander.zarebski@zoo.ox.ac.uk.
Sabrina LiDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Chieh-Hsi WuMathematical Sciences, University of Southampton, Southampton, United Kingdom.
Erin HullandDepartment of Health Metrics Sciences, University of Washington, Seattle, United States.
Julia D MorganDepartment of Health Metrics Sciences, University of Washington, Seattle, United States.
Lin WangMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Katelynn O'BrienComputational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Samuel V ScarpinoNetwork Science Institute, Northeastern University, Boston, United States.
John S BrownsteinComputational Epidemiology Lab, Boston Children's Hospital, Boston, United States.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
David M PigottDepartment of Health Metrics Sciences, University of Washington, Seattle, United States. pigottdm@uw.edu.ORCID http://orcid.org/0000-0002-6731-4034
Moritz U G KraemerDepartment of Zoology, University of Oxford, Oxford, United Kingdom. moritz.kraemer@zoo.ox.ac.uk.ORCID http://orcid.org/0000-0001-8838-7147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BetacoronavirusChinaCoronavirus InfectionsCOVID-19EpidemicsGeographic MappingGeographyHumansPandemicsPneumonia, ViralPublic HealthSARS-CoV-2

Identifiers

PMID32210236
PMCPMC7093412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.