Literature DB >> 33411737

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

Martí Català1,2, David Pino1, Miquel Marchena1, Pablo Palacios1, Tomás Urdiales1, Pere-Joan Cardona2,3,4, Sergio Alonso1, David López-Codina1, Clara Prats1,2, Enrique Alvarez-Lacalle1.   

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.

Entities:  

Mesh:

Year:  2021        PMID: 33411737     DOI: 10.1371/journal.pone.0243701

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  12 in total

1.  Reconcile the debate over protective effects of BCG vaccine against COVID-19.

Authors:  Wei Fu; Pei-Chuan Ho; Chia-Lun Liu; Kai-Teh Tzeng; Nawar Nayeem; Jonni S Moore; Li-San Wang; Shin-Yi Chou
Journal:  Sci Rep       Date:  2021-04-16       Impact factor: 4.379

2.  The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center.

Authors:  Ulises Cortés; Atia Cortés; Dario Garcia-Gasulla; Raquel Pérez-Arnal; Sergio Álvarez-Napagao; Enric Àlvarez
Journal:  AI Ethics       Date:  2021-05-06

3.  On some fundamental challenges in monitoring epidemics.

Authors:  Vaiva Vasiliauskaite; Nino Antulov-Fantulin; Dirk Helbing
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-22       Impact factor: 4.226

4.  A statistical model of COVID-19 testing in populations: effects of sampling bias andtesting errors.

Authors:  Lucas Böttcher; Maria R D'Orsogna; Tom Chou
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-22       Impact factor: 4.226

5.  COVID-19 Testing Unit Munich: Impact of Public Health and Safety Measures on Patient Characteristics and Test Results, January to September 2020.

Authors:  Hannah Tuulikki Hohl; Christian Heumann; Camilla Rothe; Michael Hoelscher; Christian Janke; Guenter Froeschl
Journal:  Front Public Health       Date:  2022-03-22

6.  Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment.

Authors:  Rene Markovič; Marko Šterk; Marko Marhl; Matjaž Perc; Marko Gosak
Journal:  Results Phys       Date:  2021-06-08       Impact factor: 4.476

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

Authors:  Martí Català; Miquel Marchena; David Conesa; Pablo Palacios; Tomas Urdiales; Sergio Alonso; Enrique Alvarez-Lacalle; Daniel Lopez; Pere-Joan Cardona; Clara Prats
Journal:  Front Public Health       Date:  2021-07-08

8.  Risk Diagrams Based on Primary Care Electronic Medical Records and Linked Real-Time PCR Data to Monitor Local COVID-19 Outbreaks During the Summer 2020: A Prospective Study Including 7,671,862 People in Catalonia.

Authors:  Marti Catala; Ermengol Coma; Sergio Alonso; Enrique Álvarez-Lacalle; Silvia Cordomi; Daniel López; Francesc Fina; Manuel Medina-Peralta; Clara Prats; Daniel Prieto-Alhambra
Journal:  Front Public Health       Date:  2021-07-05

9.  A Cost-Benefit Analysis of COVID-19 Vaccination in Catalonia.

Authors:  Francesc López; Martí Català; Clara Prats; Oriol Estrada; Irene Oliva; Núria Prat; Mar Isnard; Roser Vallès; Marc Vilar; Bonaventura Clotet; Josep Maria Argimon; Anna Aran; Jordi Ara
Journal:  Vaccines (Basel)       Date:  2021-12-31

Review 10.  Mediterranean Diet a Potential Strategy against SARS-CoV-2 Infection: A Narrative Review.

Authors:  Yvelise Ferro; Roberta Pujia; Samantha Maurotti; Giada Boragina; Angela Mirarchi; Patrizia Gnagnarella; Elisa Mazza
Journal:  Medicina (Kaunas)       Date:  2021-12-20       Impact factor: 2.430

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