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COVerAGE-DB

COVID-19 cases, deaths, and tests by age and sex

This project is currently in development, stay tuned for documentation. You can get preliminary output in 5 and 10-year age groups in the /Data folder. This contains columns for Cases, Deaths, and Tests. There may be more populations availale in the unharmonized input database (inputDB.csv), because some are awaiting corrections or additional inputs .

Getting started

A short guide to reading the data into R can be found here. We will add other basic scripts for common data operations, and we will add some Stata examples too.

Data availability

You can get the most up-to-date data at the OSF site that we mirror to: https://osf.io/mpwjq/.

Here's an overview of global coverage as of now. A country marked as forthcoming means we've identified a source, but that collection is pending for one reason or another. Are you from one of the countries not yet in the collection and want to pitch in? Please reach out, if so by emailing us as coverage-db < at > demogr.mpg.de. coverage map

A detailed dashboard of data availability can be found here.

Data processing steps

A draft Method Protocol is available here

A dash overview of which steps are applied to each country-region-date subset of data can be found here.

Documentation

Source documentation is presently being gathered and standardized, and we will find a slick way of displaying it when it's further along. All data results are provisional and may change if we decide to change particular sources, or if we change our minds about how to split age groups, etc. So please always use the most up-to-date version.

Sources

A basic data source dashboard is available here.

Notes

Most populations in the database contain multiple time snapshots, and all are continually monitored for new data releases. All statistics reported here are cumulative.

If you know of sources for other populations, please either email, Tweet, or leave an Issue in this repository, and we'll look into it. If you would like to assist this project in gathering data, or other tasks, please let us know and I'm sure we can find a task!

Citation

Please cite using the OSF repository, which has a doi. All collaborators are coauthors (see full list below), but this short form is preferred:

COVeAGE-DB: A database of age-structured COVID-19 cases and deaths. Tim Riffe, Enrique Acosta, The COVerAGE-DB team medRxiv 2020.09.18.20197228; doi: https://doi.org/10.1101/2020.09.18.20197228 Data downloaded from [DATE] (https://doi.org/10.17605/OSF.IO/MPWJQ)[https://doi.org/10.17605/OSF.IO/MPWJQ]

The team (so far), alphabetical by last name

José Manuel Aburto, Enrique Acosta, Diego Alburez-Gutierrez, Anna Altová, Ainhoa Alustiza, Ugofilippo Basellini, Simona Bignami, Didier Breton, Eungang Choi, Jorge Cimentada, Gonzalo De Armas, Emanuele Del Fava, Alicia Delgado, Alicia Delgado, Viorela Diaconu, Jessica Donzowa, Christian Dudel, Vanessa Sophie Ernst, Antonia Fröhlich, Alain Gagnon, Mariana Garcia Cristómo, Victor M. Garcia-Guerrero, Armando González-Díaz, Irwin Hecker, Dagnon Eric Koba, Marina Kolobova, Mine Kühn, Mélanie Lépori, Chia Liu, Andrea Lozer, Mădălina Manea, Lilian Marey, Muntasir Masum, Ryohei Mogi, Céline Monicolle, Saskia Morwinsky, Waqar Muhammad Ali, Ronald Musizvingoza, Mikko Myrskylä, Marília R. Nepomuceno, Michelle Nickel, Natalie Nitsche, Anna Oksuzyan, Samuel Oladele, Emmanuel Olamijuwon, Oluwafunke Omodara, Soumaila Ouedraogo, Mariana Paredes, Marius Pascariu, Manuel Piriz, Raquel Pollero, Larbi Qanni, Larbi Qanni, Federico Rehermann, Filipe Ribeiro, Tim Riffe, Silvia Rizzi, Francisco Rowe, Adil R. Sarhan, Isaac Sasson, Jiaxin Shi, Erez Shomron, Rafael Silva-Ramirez, Cosmo Strozza, Catalina Torres, Sergi Trias-Llimos, Fumiya Uchikoshi, Alyson van Raalte, Paola Vazquez-Castillo, Estevão Vilela, Iván Williams, Virginia Zarulli

(and a few more people at the moment have made commitments. )

Maybe you too? (we could still use a hand!)

See also

Some other databases relevant to this one:

Age-structured, also related to COVID-19 directly

Total counts, interesting to relate or compare

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