4.6 Article

Robust estimation of diagnostic rate and real incidence of COVID-19 for European policymakers

Journal

PLOS ONE
Volume 16, Issue 1, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0243701

Keywords

-

Funding

  1. La Caixa Foundation [100010434, LCF/PR/GN17/50300003]
  2. Agencia de Gestio d'Ajuts Universitaris i de Recerca (AGAUR), Grup Unitat de Tuberculosi Experimental [2017-SGR-500]
  3. Ministerio de Ciencia, Innovacion y Universidades
  4. FEDER [PGC2018-095456-B-I00]
  5. Spanish Ministerio de Economia, Industria y Competitividad [SAF2017-88019-C3-2-R]
  6. European Comission - DG Communications Networks, Content and Technology [LC-01485746]

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Decision-makers need a clear and fast assessment of the real spread of the COVID-19 epidemic, as standard measures like reported cases and total deaths may not provide a complete picture. This study presents a transparent and empirical method to estimate the diagnostic rate in European countries, in order to provide a uniform and unbiased incidence of the epidemic. This method has been dynamic and has been yielding converging numbers for diagnostic rates in all European countries, allowing policymakers to obtain Effective Potential Growth and assess countries at greater risk of facing an uncontrolled situation.
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.

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