COVID-⁠19 Switzerland

Information on the current situation, as of 24 May 2022

The key figures will be published each Tuesday at 15:30.

Epidemiological course,Zurich

Laboratory-⁠confirmed hospitalisations

The published data is based on information submitted by hospitals. It refers to the new reports we received and reviewed. The figures might therefore deviate from those communicated by the cantons. For hospitalisations, the date of admission to the hospital is decisive.

Geographical distribution

Laboratory-⁠confirmed hospitalisations, Zurich, 24.02.2020 to 23.05.2022

The graph shows hospitalisation admissions for the selected time frame.

Hospitalisation data should be interpreted with caution due to under-⁠reporting and reporting delays.

Laboratory-⁠confirmed hospitalisations
Per 100 000 inh.Absolute numbers
Switzerland and Liechtenstein 611,89 53 292
Switzerland 611,01 52 976
Liechtenstein 809,12 316
Aargau 512,92 3560
Appenzell Ausserrhoden 571,34 316
Appenzell Innerrhoden 503,28 82
Basel-⁠Land 578,07 1682
Basel-⁠Stadt 845,30 1663
Bern 571,26 5959
Fribourg 589,25 1918
Geneva 864,63 4378
Glarus 812,71 332
Grisons 524,25 1049
Jura 670,20 494
Lucerne 412,40 1717
Neuchâtel 1085,88 1910
Nidwalden 615,81 268
Obwalden 802,98 306
Schaffhausen 534,25 444
Schwyz 682,67 1107
Solothurn 740,64 2055
St. Gallen 505,15 2599
Thurgau 777,64 2200
Ticino 1109,45 3894
Uri 662,70 244
Valais 566,42 1974
Vaud 524,94 4277
Zug 436,36 562
Zurich 514,09 7986
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Source: FOPH – Status: 24.05.2022, 06.06h

Development over time

Laboratory-⁠confirmed hospitalisations, Zurich, 24.02.2020 to 23.05.2022

The graph shows the development of hospitalisation admissions for the selected time frame.
The line represents the 7-⁠day rolling average (average of previous 3 to subsequent 3 days).

Hospitalisation data should be interpreted with caution due to under-⁠reporting and reporting delays.

Reported cases
7-⁠day average
7-⁠day average (Switzerland and Liechtenstein)

Per 100 000 inhabitants

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Source: FOPH – Status: 24.05.2022, 06.06h

Development over time by reason for admission to hospital

Laboratory-⁠confirmed hospitalisations, Zurich, 24.02.2020 to 15.05.2022

The graph shows the development of the number of all hospitalisations with laboratory-⁠confirmed SARS-⁠CoV-⁠2 infection by the reason specified for admission to hospital. Since April 2020, this has been recorded by doctors in hospitals’ clinical notifications upon hospital admission and/or in the event of a positive test result. The notifications are always a snapshot.
Patients with a laboratory-⁠confirmed SARS-⁠CoV-⁠2 infection put an additional strain on hospitals because their infection status requires special hygiene and isolation measures. Even if COVID-⁠19 was not the primary reason for hospitalisation, a connection with COVID-⁠19 cannot always be ruled out. What is more, patients may be admitted to hospital for another primary reason and develop complications on the basis of COVID-⁠19 in the course of their stay in hospital.

Reason specified for admission to hospital
«COVID-⁠19»: Patients for whom the primary reason for admission to hospital was COVID-⁠19.
«Others»: Patients for whom COVID-⁠19 was not the determining factor for admission to hospital.
«Unknown»: Patients for whom the reason for admission to hospital is unknown.

Hospitalisation data should be interpreted with caution due to under-⁠reporting and reporting delays.

Reason specified on admission to hospital
COVID-⁠19
Other
Unknown

Cases

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Source: FOPH – Status: 24.05.2022, 06.06h

Demography

Laboratory-⁠confirmed hospitalisations, Zurich, 24.02.2020 to 15.05.2022

The graph shows the development of hospitalisation admissions for the selected time frame.

Hospitalisation data should be interpreted with caution due to under-⁠reporting and reporting delays.

Distribution by age group
Per 100 000 inhabitants
0,3997,77
No cases
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Source: FOPH – Status: 24.05.2022, 06.06h