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

License: MIT License

R 60.61% TeX 0.40% Python 38.99%

ncov2019's Introduction

COVID-19

Data and code repository for the Open COVID-19 Data Working Group: a global and multi-organizational initative that aims to enable rapid sharing of trusted and open public health data to advance the response to infectious diseases.

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. Each entry in our database has an associatd source. A number of individuals have contributed to the specific data added here and their names and details are listed below along with citations.

Please get in touch should you want to contribute line list data, have any questions or just want to say hi: [email protected] or [email protected]

We promote open collaboration among researchers and encourage users of these data make best efforts to collaborate with representatives of the groups that generated data and involve them in their analyses where appropriate. Please get in touch should you require more information.

Reconstructed line lists and data descriptor

Daily updates are usually processed by 10pm PT (1am EST, 6am GMT) and can be found the latest data folder.

A full description of the methodology used for this study can be found here: Xu, B., Gutierrez, B., Mekaru, S. et al. Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data 7, 106 (2020). https://doi.org/10.1038/s41597-020-0448-0

And a short summary of the data can be found here: Xu B, Kraemer MUG, Open COVID-19 Data Working Group. Open access epidemiological data from the COVID-19 outbreak. Lancet Infect Dis. 20(5):534 (2020). https://doi:10.1016/S1473-3099(20)30119-5

A dashboard showing the data can be viewed here: https://www.healthmap.org/covid-19/

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/

alt_text alt_text

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

Specific Contributors

We want to specifically thank the different regional working groups, including the Africa Open COVID-19 Data Working Group (https://github.com/dsfsi/covid19africa) and LATAM Open COVID-19 Data Working Group.

A list of curators and contributors to the Open COVID-19 Data Working Group is provided below:

Name Twitter Github Email
Abdullahi Kawu abdullahikawu
Albert Doughan adoughan1
Alex Benjamin axmb [email protected]
Alexander Zabreski [email protected]
Allyson Pemberton allysonjp715 [email protected]
Alyssa Loskill [email protected]
Amanuel Getachew amanbk12
Anastasia Lambrou @anasophlambrou [email protected]
Andrew Auruku aurukua
Anya Nyman anya-nyman
Arianna Maever Amit [email protected]
Bernardo Gutierrez @B_Gutierrez_G BernardoGG [email protected]
Bo Xu @BoXu55686629 BoXu123 [email protected]
Carel Nchachi Carel08
Carl Britto [email protected]
Carrie
Daniel Omolo Jomo20
Darlan Candido @candido_darlan [email protected]
David Pigott @davidmpigott [email protected]
Devon Jarvis JarvisDevon
Diane Igoche deelearn
Dieudonné Niyitanga dniyitanga
Elaine Nsoesie [email protected]
Enrique Estigarribia [email protected]
Ernest Offiong ernoff
Flavia Salles [email protected]
Harvey Davis [email protected]
Herkulaas Combrink MikeMcMalace
Ian Gregorio-de Souza
Idris Oladele Muniru idrismunir15
Isha Berry @ishaberry2 [email protected]
Ismaël Koné iskode
James Azam jamesmbaazam
Jean Paul Carrera @JeanCarrPaul [email protected]
Jeanet Morienyane
Jenny MG Shelton [email protected]
Jessie Wu jessiewu [email protected]
Jose Martinez [email protected]
Juan Pablo Cordova [email protected]
Julia Morgan [email protected]
Kamorudeen Amuda akindele2012
Kara Sewalk @kara_sewalk [email protected]
Karen Santiago @itzelmardesiche [email protected]
Kazeem Hakeem hakymulla
Kelly Moran khmoran [email protected]
Kernie Obimakinde dakrownie [email protected]
Kundai Gwatidzo epicpewpew
Lauren Goodwin [email protected]
Leslie Leland leslieleland [email protected]
Lin Wang @fdlwang [email protected]
Liz Hurley [email protected]
Lizel Greyling lizelgreyling
Lucy Matkin [email protected]
Mahamat Hamdan axmat
Mahlet Konjit-Solomon [email protected]
Manoli Heyneke hey-mano
Manu Cornet Imanul [email protected]
Manuel Muvhango ManuelMuvhango
Marcos
Marcos Antonio Escurra [email protected]
Marcos Escurra [email protected]
Maria Mercedes Cobo @meche_cobo [email protected]
Marie Orschulik morschulik
Million Abayneh millzon
Modupe Coker moyegunle
Molly Godfrey [email protected]
Moritz Kraemer @mougk mougk [email protected]
Moseli Motsoehli
Moses Ronoh moses1065
Mostafa El Habib Daho Mostafa-EHD
Nuno Faria @nmrfaria [email protected]
Olaniyan Oluwasegun Segun12
Oliver G Pybus @EvolveDotZoo [email protected]
Omara Patrick
Onesimo Mtintsilana oniemtie
Pablo Reyes [email protected]
Pamela Andrade [email protected]
Raul Aveiro @Raulaveiro [email protected]
Sabrina Li @sabrinalyli [email protected]
Sam Scarpino @svscarpino [email protected]
Sang Woo Park @sang_woo_park parksw3 [email protected]
Sarah Hill @Hill_SarahC [email protected]
Sheriffo Ceesay sneceesay77
Shingirai Pfumayaramba shingiraip
Shivanand Guness shivam11
Stephen Radcliffe sratcliffe118 [email protected]
Sumiko Mekaru @Sumiko_Mekaru [email protected]
Tahir tahirlanre
Thomas Brewer [email protected]
Thomas Rawson [email protected]
Timothé Faudot attwad [email protected]
Tsige Gebreslasse
Veincent Pepito [email protected]
Vongani Maluleke Von31
Vukosi Marivate [email protected]
Willard Zvarevashe wzvarevashe
Yaset Caicedo @yaset_caicedo [email protected]
Zakia Salod ZakiaSalod
Zamasomi Luvuno
Zoë Willis [email protected]

Citation

In order to cite the current version of the dataset please use the citation below. As the data are updated regularly, please update the retrieval date in the howpublished field.

@misc{kraemer2020epidemiological,
  author =       {Open COVID-19 Data Working Group},
  title =        {{Detailed Epidemiological Data from the COVID-19 Outbreak}},
  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
}

and

In order to cite the original dataset and methodology of how it was collected please use:

@article{xu2020Epidemiological,
  author = {Xu, Bo and Gutierrez, Bernardo and Mekaru, Sumiko and Sewalk, Kara and Goodwin, Lauren and Loskill, Alyssa and  Cohn, Emily and Hswen, Yulin and Hill, Sarah C. and Cobo, Maria M and Zarebski, Alexander and Li, Sabrina and Wu, Chieh-Hsi   and Hulland, Erin and Morgan, Julia and Wang, Lin and O'Brien, Katelynn and Scarpino, Samuel V. and Brownstein, John S. and Pybus, Oliver G. and Pigott, David M. and Kraemer, Moritz U. G.},
  doi = {doi.org/10.1038/s41597-020-0448-0},
  journal = {Scientific Data},
  number = {106},
  title = {{Epidemiological data from the COVID-19 outbreak, real-time case information}},
  volume = {7},
  year = {2020}
}

ncov2019's People

Contributors

beoutbreakprepared avatar tbrewer-healthmap avatar mougk avatar aezarebski avatar attwad avatar scarpino avatar jmosser avatar deepyaman avatar harrybirtles avatar dependabot[bot] avatar t-brewer avatar

Watchers

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