Published April 11, 2022
| Version v1.0
Dataset
Open
SARS-ANI: A Global Open Access Dataset of Reported SARS-CoV-2 Events in Animals
Authors/Creators
- 1. University of Veterinary Medicine Vienna, Austria
- 2. Complexity Science Hub Vienna, Austria
- 3. Wildlife Conservation Society, NY, USA / University of Veterinary Medicine Vienna, Austria
- 4. University of Veterinary Medicine Vienna, Austria / Complexity Science Hub Vienna, Austria
Description
SARS-ANI Version 1.0 (April, 2022) -- This is the first release of the SARS-ANI dataset.
We used two major health databases (ProMED-mail, https://promedmail.org/ and OIE-WAHIS, https://wahis.oie.int/) to extract unstructured data and generated a comprehensive global dataset of thoroughly documented SARS-CoV-2 events in animals. The dataset integrates relevant epidemiological and clinical data on each event and is readily usable for analytical purposes. We also share the code for technical and visual validation of the data and created a user-friendly dashboard for data exploration.
Files
amel-github/sars-ani-v1.0.zip
Files
(389.1 MB)
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md5:291b94b71ac994ee799bef6eae4091f6
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Additional details
Related works
- Is supplement to
- https://github.com/amel-github/sars-ani/tree/v1.0 (URL)