Nerpel, Afra, et al. "SARS-ANI: A Global Open Access Dataset of Reported SARS-CoV-2 Events in Animals." Scientific Data, (2022).

This paper used two major health databases to extract unstructured data and generated a comprehensive global dataset of thoroughly documented SARS-CoV-2 events in animals, which is readily usable for analytical purposes, while sharing the code for technical validation and data exploration.
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