Selected article for: "bayesian model and method section"

Author: Julien Riou; Anthony Hauser; Michel J Counotte; Christian L Althaus
Title: Adjusted age-specific case fatality ratio during the COVID-19 epidemic in Hubei, China, January and February 2020
  • Document date: 2020_3_6
  • ID: mrsya6wz_16
    Snippet: 1. The severity of symptoms differs by age group and influences the probability of reporting; 2. All deaths due to SARS-CoV-2 infection have been identified and reported; 3. The average standard of care is stable between the period of interest (until 11 February for Hubei, until 3 March for northern Italy) and the following period of two months during which a proportion of the infected people will eventually die; 4. The ascertainment probability .....
    Document: 1. The severity of symptoms differs by age group and influences the probability of reporting; 2. All deaths due to SARS-CoV-2 infection have been identified and reported; 3. The average standard of care is stable between the period of interest (until 11 February for Hubei, until 3 March for northern Italy) and the following period of two months during which a proportion of the infected people will eventually die; 4. The ascertainment probability by age is constant over the periods considered. We implemented the model in a Bayesian framework using Stan [22] . All code and data are available from https://github.com/jriou/covid_adjusted_cfr. Further details about the method are available in S1 Text, section 2.

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