SARS-ANI VIS

A Global Open Access Dataset of Reported SARS-CoV-2 Events in Animals

We consider as an event when one single case or several epidemiologically related cases were identified by the presence of viral RNA (proof of infection) and/or antibodies (proof of exposure) in an animal. Epidemiologically related cases include e.g. animals belonging to the same farm, captive animals housed together, pets belonging to the same household, or animals sampled within the same (generally transversal) study, featuring similar event and patient attributes, i.e. they underwent the same laboratory test(s) and showed the same results (including variant), exhibited the same symptoms and disease outcome, and were confirmed, reported (when applicable), and published on the same date (e.g. when pets of the same species sharing the same household showed different symptoms, they are reported as two distinct events). Events include follow-up history reports of outbreaks (e.g. follow-up on the clinical status of the animal, variant identification after case confirmation).

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Overview of SARS-CoV-2 events in animals

Infection: the presence of the virus is evidenced through laboratory method(s).

Exposure: the presence of antibodies against SARS-CoV-2 is evidenced through laboratory method(s).

Note: The number of cases in mink is inconsistently (sometimes not at all) reported. Therefore, the number of cases shown here largely under-estimate the true number of cases in this species.

Occurrence of one or more cases in an epidemiological unit (e.g. one farm, one household). The number of outbreaks is lower than the number of events because distinct events i) may belong to the same epidemiological unit (e.g. animals that are living together) or ii) may be follow-ups of the same outbreak.
The CFR for each animal host and country is obtained by dividing the total number of reported deaths in one animal host by the total number of reported cases for this host in the country. Animals culled as part of a control strategy are excluded (not all were diagnosed as infected). Similarly, mink are not included here because data on case and death numbers are partial. The CFR depends strongly on testing and does not give information on the infection fatality rate (IFR, number of deaths divided by the total number of infected individuals) or mortality rate (MR, number of deaths divided by the total at-risk population).
species (e.g. cat)
families (e.g. Felidae)
value

Country names are based on standard ISO 3166-1 alpha-3 country codes.

The boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever on the part of the authors concerning the legal status of any country, territory, city, or areas or of its authority, or concerning the delimitation of its frontiers or boundaries. The information displayed on the map is arranged for an optimized visualization and disconnection between the “bubbles” and geographical areas is purely a function of technical and graphical limitations.

Reported clinical signs of SARS-CoV-2 infection/exposure in animals

species (e.g. cat)
families (e.g. Felidae)
number of events

Reported SARS-CoV-2 variants identified in animals

species (e.g. cat)
families (e.g. Felidae)
number of events

Control measures & outcomes of SARS-CoV-2 infection/exposure in animals

Control measure: main intervention(s) implemented to mitigate further spread of the virus.

Outcome: issue of the SARS-CoV-2 infection (or exposure).

Explore all the events

Raw data can be accessed via https://github.com/amel-github/sars-ani/.

an event (clickable for details)
a report contains multiple events
species (e.g. cat)

Country names are based on standard ISO 3166-1 alpha-3 country codes.

The boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever on the part of the authors concerning the legal status of any country, territory, city, or areas or of its authority, or concerning the delimitation of its frontiers or boundaries. The information displayed on the map is arranged for an optimized visualization and disconnection between the “bubbles” and geographical areas is purely a function of technical and graphical limitations.