| Autorinnen und Autoren | Miguel Sanchez-Romero, Vanessa di Lego, Alexia Prskawetz, Bernardo L Queiroz |
| Institution(en) | ÖAW |
| Zeitpunkt(e)/Zeitraum der Erhebung(en) | |
| Art der Stichprobe und Benennung der Personengruppe(n) und Anzahl | |
| Projektwebsite | https://www.oeaw.ac.at/vid/research/covid-19research/how-many-lives/ |
| Fragestellung(en) der Befragung | In this work, we assess the global impact of COVID-19 showing how demographic factors, testing policies and herd immunity are key for saving lives. We extend a standard epidemiological SEIR model in order to: (a) identify the role of demographics (population size and population age distribution) on COVID-19 fatality rates; (b) quantify the maximum number of lives that can be saved according to different testing strategies, different levels of herd immunity, and specific population characteristics; and (d) infer from the observed case fatality rates (CFR) what the true fatality rate might be. Different from previous SEIR model extensions, we implement a Bayesian Melding method in our calibration strategy which enables us to account for data limitation on the total number of deaths. We |
| Kontaktdaten | miguel.sanchez@oeaw.ac.at |
| Kommentar | Diese Information wurde am 16. April 2021 aus dem Repositorium IHS entnommen. |
| Analytische Ausrichtung | modelling |
| Themen in Stichworten | |
| Theoretischer Rahmen/Zugang | Wirtschaft |
| Sonstige Hinweise/ggf. Besonderheiten | This factsheet is only available in German. |
| ggf. weitere Partner | |
| Zentrale Befunde der Studie im Überblick/Highlights | |
| Methodische Ausrichtung | |
| Erhebungsdesign | |
| Geographischer Raum der Studie | |
| Bibliographische Angaben zentraler Publikation(en) | |
| Repositorium | Factsheet |