 visitant ::
identificació
|
|||||||||||||||
|
Cerca | Lliura | Ajuda | Servei de Biblioteques | Sobre el DDD | Català English Español | |||||||||
| Pàgina inicial > Articles > Articles publicats > Robust estimation of diagnostic rate and real incidence of COVID-19 for European policymakers |
(Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) (Universitat Politècnica de Catalunya. Departament de Física) (Institut Germans Trias i Pujol) (Universitat Politècnica de Catalunya. Departament de Física) (Institut Germans Trias i Pujol) (Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial)| Data: | 2021 |
| Resum: | Policymakers need clear, fast assessment of the real spread of the COVID-19 epidemic in each of their respective countries. Standard measures of the situation provided by the governments include reported positive cases and total deaths. While total deaths indicate immediately that countries like Italy and Spain had the worst situation as of mid-April, 2020, reported cases alone do not provide a complete picture of the situation. Different countries diagnose differently and present very distinctive reported case fatality ratios. Similar levels of reported incidence and mortality might hide a very different underlying pictures. Here we present a straightforward and robust estimation of the diagnostic rate in each European country. From that estimation we obtain a uniform, unbiased incidence of the epidemic. The method to obtain the diagnostic rate is transparent and empirical. The key assumption of the method is that the infection fatality ratio of COVID-19 in Europe is not strongly country-dependent. We show that this number is not expected to be biased due to demography nor to the way total deaths are reported. The estimation protocol is dynamic, and it has been yielding converging numbers for diagnostic rates in all European countries as from mid-April, 2020. Using this diagnostic rate, policy makers can obtain Effective Potential Growth updated every day, providing an unbiased assessment of the countries at greater risk of experiencing an uncontrolled situation. The method developed has been and will be used to track possible improvements in the diagnostic rate in European countries as the epidemic evolves. |
| Ajuts: | Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-500 Agencia Estatal de Investigación PGC2018-095456-B-I00 Agencia Estatal de Investigación SAF2017-88019-C3-2-R European Commission LC-01485746 |
| Nota: | Altres ajuts: CP, PJC and MC received funding from La Caixa Foundation (ID 100010434), under agreement LCF/PR/GN17/50300003. This project has been partially funded by the European Commission - DG Communications Networks, Content and Technology through the contract LC-01485746. |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Publicat a: | PloS one, Vol. 16 (january 2021) , ISSN 1932-6203 |
