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Scientific article
Open access
English

COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub

Published inScientific data, vol. 9, no. 1, 707
Publication date2022-11-17
First online date2022-11-17
Abstract

Here we present the design and results of an analytical pipeline for COVID-19 data for Switzerland. It is applied to openly available data from the beginning of the epidemic in 2020 to the present day (august 2022). We analyzed the spatio-temporal patterns of the spread of SARS-CoV2 throughout the country, applying Bayesian inference to estimate population prevalence and hospitalization ratio. We also developed forecasting models to characterize the transmission dynamics for all the country's cantons taking into account their spatial correlations in COVID incidence. The two-week forecasts of new daily hospitalizations showed good accuracy, as reported herein. These analyses' raw data and live results are available on the open-source EpiGraphHub platform to support further studies.

eng
Keywords
  • Humans
  • COVID-19 / epidemiology
  • Switzerland / epidemiology
  • Bayes Theorem
  • RNA, Viral
  • SARS-CoV-2
Citation (ISO format)
CODECO COELHO, Flavio, ARAÚJO, Eduardo Corrêa, KEISER, Olivia. COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub. In: Scientific data, 2022, vol. 9, n° 1, p. 707. doi: 10.1038/s41597-022-01813-5
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Article (Published version)
Identifiers
ISSN of the journal2052-4463
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Technical informations

Creation05/23/2024 9:06:10 AM
First validation06/11/2024 9:31:49 AM
Update time06/11/2024 9:31:49 AM
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