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…
Assuming that around half of those cases are infectious and another half carry the new variant, there could be around 25 cases with the new variant in Switzerland. What is the probability that they establish a sustained transmission chain in Switzerland? 4/n
Using branching process models, we can calculate this probability as P = 1 - 1/Re^n where Re is the effective reproduction number and n is the number of initial cases. 5/n
The effective reproduction number in Switzerland is arguably slightly above 1 at the moment. For Re = 1.05, we obtain a probability of 70% that the new variant will spread in Switzerland. For Re = 1.1, the probability would be 91%. 6/n sciencetaskforce.ch/epidemiologisc…
But there is more to it. The equation above assumes that the number of secondary cases are geometrically distributed (k = 1). However, #SARSCoV2 exhibits superspreading and the number of secondary cases is highly overdispersed (k ~ 0.5). 7/n eurosurveillance.org/content/10.280…
That means that many infected cases do not transmit at all, and only a few infected individuals have the potential to initiate a sustained transmission chain. 8/n
Assuming k = 0.5, we obtain a probability of 58% (for Re = 1.05) and 79% (for Re = 1.1) that the 25 cases will initiate a sustained transmission chain in Switzerland. 9/n
So that's still relatively high. However, visitors from the UK (and South Africa) must now go into quarantine in Switzerland. This might prevent some of the potential further spread of the new variant. 10/n bag.admin.ch/bag/en/home/kr…
Nevertheless, we have to assume that the new variant might start to spread in Switzerland during the coming weeks, particularly because it might have increased transmissibility and therefore a higher Re. End. 11/n
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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…
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
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…
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)
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)
Die @SwissScience_TF schlägt vor, dass wir die Fallzahlen alle zwei Wochen halbieren, um im Januar wieder auf unter 500 täglich bestätigte Fällen zu gelangen. Was bedeutet das bezüglich der Reproduktionszahl? Ein Thread zu Verdoppelungs- und Halbwertszeiten bei #SARSCoV2. (1/n)
Die Grafik zeigt den Zusammenhang zwischen der Reproduktionszahl und der Zeit in welcher sich die Anzahl Neuinfektionen von #SARSCoV2 verdoppeln (rot) bzw. halbieren (grün). (2/n)
Anfang März 2020 konnte sich das Virus in der Schweiz unkontrolliert ausbreiten, was einer Reproduktionszahl von 2,8 und einer Verdoppelungszeit von 3 Tagen entsprach. (3/n)