Evidence map›Paper›PMID 34307270›Full record

ArticleFrontiers in public health2021

Monitoring and Analysis of COVID-19 Pandemic: The Need for an Empirical Approach.

Martí Català, Miquel Marchena, David Conesa, Pablo Palacios, Tomas Urdiales, Sergio Alonso, Enrique Alvarez-Lacalle, Daniel Lopez, Pere-Joan Cardona, Clara Prats

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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 CatalàComparative Medicine and Bioimage Centre of Catalonia, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain.
Miquel MarchenaDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
David ConesaDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Pablo PalaciosDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Tomas UrdialesDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Sergio AlonsoDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Enrique Alvarez-LacalleDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Daniel LopezDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Spain.
Pere-Joan CardonaComparative Medicine and Bioimage Centre of Catalonia, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain.
Clara PratsComparative Medicine and Bioimage Centre of Catalonia, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current worldwide pandemic produced by coronavirus disease 2019 (COVID-19) has changed the paradigm of mathematical epidemiology due to the high number of unknowns of this new disease. Thus, the empirical approach has emerged as a robust tool to analyze the actual situation carried by the countries and also allows us to predict the incoming scenarios. In this paper, we propose three empirical indexes to estimate the state of the pandemic. These indexes quantify both the propagation and the number of estimated cases, allowing us to accurately determine the real risk of a country. We have calculated these indexes' evolution for several European countries. Risk diagrams are introduced as a tool to visualize the evolution of a country and evaluate its current risk as a function of the number of contagious individuals and the empiric reproduction number. Risk diagrams at the regional level are useful to observe heterogeneity on COVID-19 penetration and spreading in some countries, which is essential during deconfinement processes. During the pandemic, there have been significant differences seen in countries reporting case criterion and detection capacity. Therefore, we have introduced estimations about the real number of infectious cases that allows us to have a broader view and to better estimate the risk. These diagrams and indexes have been successfully used for the monitoring of European countries and regions during the COVID-19 pandemic.

Indexed as

COVID-19PandemicsEuropeHumansSARS-CoV-2COVID-19COVID-19 outbreakepidemic monitoringrisk diagramrisk indexes

Identifiers

PMID34307270
PMCPMC8295503

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Registered trials

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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.