Evidence map›Paper›PMID 33411737›Full record

ArticlePloS one2021

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

Martí Català, David Pino, Miquel Marchena, Pablo Palacios, Tomás Urdiales, Pere-Joan Cardona, Sergio Alonso, David López-Codina, Clara Prats, Enrique Alvarez-Lacalle

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
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  6. Observational
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  11. A statistical model of COVID-19 testing in populations: effects of sampling bias andtesting errors.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  12. On some fundamental challenges in monitoring epidemics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  13. Article
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  15. Article
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  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Martí CatalàDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.ORCID 0000-0003-3308-9905
David PinoDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.ORCID 0000-0002-4512-0175
Miquel MarchenaDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.
Pablo PalaciosDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.
Tomás UrdialesDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.
Pere-Joan CardonaComparative Medicine and Bioimage Centre of Catalonia (CMCiB), Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Catalonia, Spain.
Sergio AlonsoDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.ORCID 0000-0002-3989-8757
David López-CodinaDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.
Clara PratsDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.
Enrique Alvarez-LacalleDepartment of Physics, Universitat Politècnica de Catalunya (UPC ⋅ BarcelonaTech), Barcelona, Spain.ORCID 0000-0001-6824-6857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Basic Reproduction NumberCommunicable Disease ControlCOVID-19EuropeEuropean UnionHealth PolicyHumansIncidence

Identifiers

PMID33411737
PMCPMC7790392

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.