Author: Lionel Roques; Etienne Klein; Julien Papaix; Samuel Soubeyrand
Title: Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19 Document date: 2020_3_24
ID: dqg8fkca_12
Snippet: with κ t := τ 2 (t)/τ 1 (t), the relative probability of undergoing a screening test for an individual of type S vs an individual of type I (probability of being tested conditionally on being S / probability of being tested conditionally on being I). We assume that the ratio κ does not depend on t at the beginning of the epidemic (i.e., over the period that we use to estimate the parameters of the model). The coefficient σ corresponds to the.....
Document: with κ t := τ 2 (t)/τ 1 (t), the relative probability of undergoing a screening test for an individual of type S vs an individual of type I (probability of being tested conditionally on being S / probability of being tested conditionally on being I). We assume that the ratio κ does not depend on t at the beginning of the epidemic (i.e., over the period that we use to estimate the parameters of the model). The coefficient σ corresponds to the sensitivity of the test. In most cases, RT-PCR tests have been used and existing data indicate that the sensitivity of this test using pharyngeal and nasal swabs is about 63 − 72% [14] . We take here σ = 0.7 (70% sensitivity).
Search related documents:
Co phrase search for related documents- epidemic beginning and RT PCR test: 1, 2
- epidemic beginning and test sensitivity: 1, 2
- epidemic beginning and type individual: 1, 2
- model parameter and test sensitivity: 1
Co phrase search for related documents, hyperlinks ordered by date