Paush

Ex nihilo nihil fit.

Author of @covidcat4.

[Cristiantb @Cristiantb]

I am pleased to share with you this paper published at @SciReports, led by Pau Satorra (@Paush123) from the Biostatistics Support and Research Unit of the IGTP @GTRecerca, on a Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia.

https://t.co/5KlIlzJ4On 1/9

[Paush @Paush123]

✨If you are further interested, you can also take a look at this shiny application that we developed to present the results of the modelling of these temporal, spatial and spatio-temporal patterns, with interactive maps and much more: https://t.co/EwzZyaf6Nu

[Paush @Paush123]

On the occasion of the #datastorytelling contest organised by the @socestadistica, I present in this thread three visualizations that allow us to better understand the COVID-19 pandemic in Catalonia, using public data from @opendatacat

👇A thread👇

[Paush @Paush123]

In conclusion, we have seen how an analysis of the COVID-19 pandemic can be made using public data, providing a multidimensional view of the patterns of the pandemic in Catalonia.

[Paush @Paush123]

@atobias69 @SFotonium @Inmusc1 @appeasymeta @carmona_loreto @CochraneIberoam @mroqvef Gracias @atobias69!!💪
Pero sin tu orientación sería imposible.

[Cristiantb @Cristiantb]

🆕Nova app per visualitzar la incidència acumulada de COVID-19 a Catalunya per Àrea Bàsica de Salut amb un suavitzat Bayesià:

👉https://t.co/fW3WC7p6mg

@Paush123 @epistatistic @atobias69 @Cristiantb
@idibell_cat @salutpublicabcn @IDAEA_CSIC
#covid19 #rstats #epitwitter