https://socictopen.socict.org/files/original/2798b6101653bd6e04e2534b1a9f7d09.pdf 0d888143e3687583971768da450b5c0f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Early Data to Estimate the Actual Infection Fatality Ratio from COVID-19 in France Creator An entity primarily responsible for making the resource Samuel Soubeyrand, Lionel Roques, Julien Papaïx, Etienne K Klein, Antoine Sar Description An account of the resource The number of screening tests carried out in France and the methodology used to target the patients tested do not allow for a direct computation of the actual number of cases and the infection fatality ratio (IFR). The main objective of this work is to estimate the actual number of people infected with COVID-19 and to deduce the IFR during the observation window in France. We develop a `mechanistic-statistical’ approach coupling a SIR epidemiological model describing the unobserved epidemiological dynamics, a probabilistic model describing the data acquisition process and a statistical inference method. The actual number of infected cases in France is probably higher than the observations: we find here a factor ×8 (95%-CI: 5–12) which leads to an IFR in France of 0.5% (95%-CI: 0.3–0.8) based on hospital death counting data. Adjusting for the number of deaths in nursing homes, we obtain an IFR of 0.8% (95%-CI: 0.45–1.25). This IFR is consistent with previous findings in China (0.66%) and in the UK (0.9%) and lower than the value previously computed on the Diamond Princess cruse ship data (1.3%). Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Bayesian inference, Case-fatality rate, SIR model, COVID-19, infection fatality ratio, mechanistic-statistical model Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/biology9050097 Source A related resource from which the described resource is derived Biology Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General)