Our statistical tool to analyze the epidemic trends of #SARSCoV2 in Switzerland is now online. (1/n) @ISPMBern @unibern @ETH @SwissScience_TF https://ibz-shiny.ethz.ch/covidDashboard/
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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)
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The trends are typically best observed over a time period of two weeks. Due to reporting delays, we also need to remove the last 3 and 5 days of confirmed cases and hospitalizations/deaths, respectively. (4/n)
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On a national level, we see that confirmed cases and hospitalizations decreased during the first two weeks of November with a half-life of 19 and 21 days, respectively. (5/n)pic.twitter.com/EffJCPKXuw
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In contrast, ICU occupancy and deaths were still slowly increasing but might now follow the trend indicated by the other two indicator variables. (6/n)
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Rather than just looking at national trends, it is important to follow the situation across different cantons and age groups. Confirmed cases declined in all age groups, but to a lesser extent in the youngest and oldest. (7/n)pic.twitter.com/R6lGznJikQ
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Given that various cantons have different measures in place, it is important to analyze how they perform in reducing the numbers of confirmed cases. (8/n)pic.twitter.com/LDsqWrZ7OB
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The cantons in the French-speaking part of Switzerland (GE, VD, VS, NE, FR, JU) have all implemented additional control measures and could reduce the number of confirmed cases by 50% in less than two weeks. (9/n)
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Most other cantons are above the national average and see a slower decline in confirmed cases or even an increase (BS and BL). The coming days and weeks will show whether they need to implement additional measures as well. (10/n)
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Thanks to
@AndereggNanina,@JulRiou and@dcangst for initiating and implementing this analysis.Pokaż ten wątek
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What‘s the rationale for the two week time span?
Dziękujemy. Twitter skorzysta z tych informacji, aby Twoja oś czasu bardziej Ci odpowiadała. CofnijCofnij
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Wydaje się, że ładowanie zajmuje dużo czasu.
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