|Date||Date in 2020|
|Name / ID||Name or ID (ISO code) of the country or the region.|
Countries with 'increased' infection risk are marked with '!'.
|Pop.||Population of the country|
|P/km2||Population per km2|
|Selection box for country comparison|
|Cases||Total number of cases. If "Relative" is chosen than number of cases per 100,000 population.|
|Δ||Increase of the number of cases since the previous day. If "Relative" is chosen than increase per 100,000 population.|
|Δ14||New cases in the last 14 days per 100,000 population. If Δ14 ≥ 60, then the country has an 'increased' infection risk according to FOPH. These countries are marked with '!'. Persons travelling from these countries into Switzerland must go into quarantine for 10 days.|
|Deaths ✝||Total number of deceased persons. If "Relative" is chosen than number of deaths per 100,000 population.|
|Δ ✝||Increase of deaths since the previous day.|
|Mortality ✞%||Number of deaths relative to number of cases (in percent).|
|Recovered / OK||Computed estimation of recovered persons.|
- Click on the left/right arrows to move between dates.
- Click on the column name with ↕ to sort by that column. The head of the sorted column is emphasized.
- Click on the country name to display time series for that country. The country is displayed as ISO code on small screens.
- The chart curves are smoothed so their data can slightly differ from the tabular data.
- 7-Average is the moving average of daily values over 7 days.
- 'Recovered', 'Active', 'Active per capita' are only computed estimates.
- If the option "Relative" is chosen than all values in the History table are per 100,000 population. Notice that the relative values are higher than absolute values for countries with population less than 100,000.
- Date format Month/Day.
- 'K' means thousand (103), 'M' means million (106), 'B' means billion (109).
- (*) Countries marked with '*' have less than 100,000 inhabitants. So, the relative values per 100,000 are higher than absolute values and can even exceed the country population. They should be interpreted as values extrapolated to 100,000 people.
- Data sources:
- Switzerland (FOPH): Federal Office of Public Health FOPH.
- Switzerland (OpenZH) and Swiss cantons: Statistical Office of the Canton of Zurich (OpenZH) on GitHub.
- Switzerland (JHU) and other countries: Johns Hopkins University (JHU) reports on GitHub.
- Data differ between different sources but the trend coincides.