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

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 c...

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Detalles Bibliográficos
Autores principales: Coelho, Flávio Codeço, Araújo, Eduardo Corrêa, Keiser, Olivia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669531/
https://www.ncbi.nlm.nih.gov/pubmed/36396693
http://dx.doi.org/10.1038/s41597-022-01813-5
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author Coelho, Flávio Codeço
Araújo, Eduardo Corrêa
Keiser, Olivia
author_facet Coelho, Flávio Codeço
Araújo, Eduardo Corrêa
Keiser, Olivia
author_sort Coelho, Flávio Codeço
collection PubMed
description 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.
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spelling pubmed-96695312022-11-18 COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub Coelho, Flávio Codeço Araújo, Eduardo Corrêa Keiser, Olivia Sci Data Analysis 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. Nature Publishing Group UK 2022-11-17 /pmc/articles/PMC9669531/ /pubmed/36396693 http://dx.doi.org/10.1038/s41597-022-01813-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Coelho, Flávio Codeço
Araújo, Eduardo Corrêa
Keiser, Olivia
COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title_full COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title_fullStr COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title_full_unstemmed COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title_short COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
title_sort covid-19 in switzerland real-time epidemiological analyses powered by epigraphhub
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669531/
https://www.ncbi.nlm.nih.gov/pubmed/36396693
http://dx.doi.org/10.1038/s41597-022-01813-5
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