beoutbreakprepared/nCoV2019

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China


repo name	beoutbreakprepared/nCoV2019
repo link	https://github.com/beoutbreakprepared/nCoV2019
homepage
language	R
size (curr.)	104883 kB
stars (curr.)	349
created	2020-01-24
license	MIT License

nCoV2019

Location for summaries and analyses of data related to n-CoV 2019, first reported in Wuhan, China.

Acknowledgements

We first want to thank all those individuals and organizations across the world who have been willing and able to report data in as open and timely manner as possible. This work attempts to synthesize information from across a myriad set of data sources (which are listed below). A number of individuals have contributed to the specific data added here and their names and details are listed below along with a citation.

Reconstructed line lists

Line lists also posted and updated at https://docs.google.com/spreadsheets/d/1itaohdPiAeniCXNlntNztZ_oRvjh0HsGuJXUJWET008/edit#gid=0

Daily updates on the line list are posted in the dataset_archive folder.

Co-morbidity estimates

Co-morbidity data may facilitate CFR estimation processes

Datasets derived from Global Burden of Disease on prevalence rates of known co-morbidities, including Diabetes mellitus, Cardiovascular Disease, and Chronic Obstructive Pulmonary Disorder. For more information on these estimates please see metadata and https://vizhub.healthdata.org/gbd-compare/

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Global Demographic information

Global demographics, with age and sex structure are provided. These are mirrors of estimates from the Global Burden of Disease 2017, publically available here - http://ghdx.healthdata.org/record/ihme-data/gbd-2017-population-estimates-1950-2017. For further information please consult https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)32278-5/fulltext

Contributions

Sources

Current sources used Last updated 25th January

Specific Contributors

Name	Email	Twitter	Github
Isha Berry	isha.berry@mail.utoronto.ca	@ishaberry2
Darlan Candido	darlan.dasilvacandido@merton.ox.ac.uk	@candido_darlan
Nuno Faria	nuno.faria@zoo.ox.ac.uk	@nmrfaria
Lauren Goodwin	lauren.goodwin@childrens.harvard.edu
Bernardo Gutierrez	bernardo.gutierrez@zoo.ox.ac.uk	@B_Gutierrez_G
Sarah Hill	sarah.hill@zoo.ox.ac.uk	@Hill_SarahC
Liz Hurley	elizabeth.hurley@childrens.harvard.edu
Moritz Kraemer	moritz.kraemer@zoo.ox.ac.uk	@mougk	@mougk
Anastasia Lambrou	anastasia.lambrou@jhu.edu	@anasophlambrou
Sabrina Li	sabrina.li@ouce.ox.ac.uk	@sabrinalyli
Alyssa Loskill	aloskill@bu.edu
Sumiko Mekaru	Sumiko.Mekaru@childrens.harvard.edu	@Sumiko_Mekaru
Julia Morgan
Sang Woo Park	swp2@princeton.edu	@sang_woo_park	@parksw3
David Pigott	pigottdm@uw.edu	@davidmpigott
Sam Scarpino	s.scarpino@northeastern.edu	@svscarpino
Kara Sewalk	Kara.Sewalk@childrens.harvard.edu	@kara_sewalk
Lin Wang	lin.wang@pasteur.fr	@fdlwang
Jessie Wu	chiehhsi.wu@gmail.com		@jessiewu
Bo Xu	xu-b15@mails.tsinghua.edu.cn	@BoXu55686629	@BoXu123
Alexander Zabreski

Citation

As the data are updated regularly, please update the retrieval date in the howpublished field.

@misc{kraemer2020epidemiological,
  author =       {nCoV-2019 Data Working Group},
  title =        {{Epidemiological Data from the nCoV-2019 Outbreak: Early
                  Descriptions from Publicly Available Data}},
  howpublished = {Accessed on yyyy-mm-dd from
                  \url{http://virological.org/t/epidemiological-data-from-the-ncov-2019-outbreak-early-descriptions-from-publicly-available-data/337}},
  year =         2020
}