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Updated: Aug 20, 2025

An Optimized Hemagglutination Inhibition HI Assay to Quantify Influenza-specific Antibody Titers
Published on: December 1, 2017
COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
Flávio Codeço Coelho1,2,3, Eduardo Corrêa Araújo4, Olivia Keiser4,5
1Fundação Getulio Vargas, Escola de Matemática Aplicada, Rio de Janeiro, 22250-900, Brazil. flavio.codeco.coelho@fgv.br.
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.
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