There is lots of talk about #COVID19-related excess mortality. How does the situation look like in Switzerland? 🧵1/5
2020 started with a mild influenza season and Switzerland was on its way to a year with negative excess mortality. Then came the pandemic and a relatively early ‘lockdown' limited the number of #COVID19-related death to around 2,000 during spring. 2/5
Until autumn, Switzerland still had hardly any excess mortality. Then came the second wave in October and hesitancy to introduce control measures resulted in an excess mortality of 5,527 by week 50. 3/5
Continuing the same trend for week 51 to 53 results in an expected excess mortality of ~7,500 by the end of the year. 4/5
The expected excess mortality is around three times as high as during the severe influenza season from 2015. Despite control measures in place. And the pandemic is not over. #notlikeflu 5/5

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More from @C_Althaus

23 Dec
There is great concern about the potential spread of the new #SARSCoV2 variant (B.1.1.7) outside the UK. How many cases do we have to expect in Switzerland and will they spread further? Let's do some back-of-the-envelope calculations. 1/n ecdc.europa.eu/en/publication…
Around 10,000 British visitors have arrived in Switzerland since December 14. Many of them are visiting Switzerland for their ski holidays. 2/n tagesanzeiger.ch/auf-der-suche-…
The Real-time Assessment of Community Transmission (REACT) programme estimated #SARSCoV2 RT-PCR swab-positivity (prevalence) in the UK during early December at around 1%. That would correspond to around 100 positive cases among the British visitors. 3/n imperial.ac.uk/medicine/resea…
Read 11 tweets
19 Dec
The Swiss government issued an ordinance stating that restaurants can be kept open when R < 1, and must close when R > 1 at the cantonal level. Worth having some reflections about how R values should influence policy decisions. A thread. 1/n admin.ch/opc/de/classif…
In Switzerland, these policy decisions will be made based on point estimates of R that are provided with two (!) decimal places. For example, R is currently given as 0.98 in the canton of Valais. 2/n covid19.admin.ch/en/repro/val?t…
To be honest, the ordinance sounds a bit like a technocratic idiocy to me. But let’s have a look at how @GOVUK uses R as a guide during the pandemic response. 3/n gov.uk/guidance/the-r…
Read 11 tweets
16 Dec
Letzten Freitag hat der Bundesrat eine Art "Ampelsystem" eingeführt. Macht dieses und die in den Medien diskutierten Anpassungen aus epidemiologischer Sicht Sinn? In meinen Augen lautet die Antwort ganz klar nein. Ein Thread. 1/n edi.admin.ch/edi/de/home/do…
Zuerst einmal: Wozu benötigt man ein Ampelsystem? Ein solches System erlaubt bei klar definierten Schwellenwerten verschiedene Massnahmenpakete schnell einzuleiten. 2/n
Dies erlaubt es der Bevölkerung auf anstehende Massnahmen vorbereitet zu sein, bietet deutlich mehr Planungssicherheit und kann im besten Fall einen raschen Anstieg der Epidemie verhindern oder zumindest abschwächen. 3/n
Read 21 tweets
26 Nov
What is the overall infection fatality ratio (IFR) of #SARSCoV2 in Germany? The widely discussed Gangelt study now got published in @NatureComms. There are a number of issues with its estimate of the IFR. A thread. (1/n) nature.com/articles/s4146…
What do we already know about the IFR in Germany? At @ISPMBern, we published a modeling study that estimates the IFR at 0.8% (95% CI: 0.5%-1.1%) for Bavaria and 0.7% (95% CI: 0.5%-1.3%) for Baden-Württemberg based on 1,049 and 802 deaths. (2/n) journals.plos.org/plosmedicine/a…
The IFR can also be estimated from seroprevalence studies. A recently published report from Munich (Bavaria) found an IFR of 0.8% (0.6%-1.1%), confirming our earlier estimates. (3/n) klinikum.uni-muenchen.de/Abteilung-fuer…
Read 9 tweets
19 Nov
Our statistical tool to analyze the epidemic trends of #SARSCoV2 in Switzerland is now online. (1/n) @ISPMBern @unibern @ETH @SwissScience_TF ibz-shiny.ethz.ch/covidDashboard/
In the current situation, it is critically important to follow the epidemic trends of #SARSCoV2 across age groups and cantons. Changes in the number of daily confirmed cases, hospitalizations, ICU occupancy and deaths can all provide meaningful insights. (2/n)
One can fit a negative binomial generalized linear model (glm.nb in R) to the data with reported numbers as a response variable and date and weekend as predictors. This allows to estimate the exponential increase or decrease of the different indicators of the epidemic. (3/n)
Read 11 tweets
15 Nov
The @SwissScience_TF proposes to halve confirmed #SARSCoV2 cases every two weeks to reach less than 500 cases in January. What does this mean regarding the reproduction number? A thread about doubling times and half-lifes of #SARSCoV. (1/n)
The figure (in German) shows the relationship between the reproduction number and the time in which the number of new #SARSCoV infections double (red) and reduce by 50% (green). (2/n)
In early March 2020, the virus spread uncontrolled in Switzerland with a reproduction number of 2.8 which corresponds to a doubling time of 3 days. (3/n)
Read 13 tweets

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