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CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy

To date, official data on the number of people infected with the SARS-CoV-2—responsible for the Covid-19—have been released by the Italian Government just on the basis of a non-representative sample of population which tested positive for the swab. However a reliable estimation of the number of infe...

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Detalles Bibliográficos
Autor principal: Fenga, Livio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937344/
https://www.ncbi.nlm.nih.gov/pubmed/33717677
http://dx.doi.org/10.7717/peerj.10819
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author Fenga, Livio
author_facet Fenga, Livio
author_sort Fenga, Livio
collection PubMed
description To date, official data on the number of people infected with the SARS-CoV-2—responsible for the Covid-19—have been released by the Italian Government just on the basis of a non-representative sample of population which tested positive for the swab. However a reliable estimation of the number of infected, including asymptomatic people, turns out to be crucial in the preparation of operational schemes and to estimate the future number of people, who will require, to different extents, medical attentions. In order to overcome the current data shortcoming, this article proposes a bootstrap-driven, estimation procedure for the number of people infected with the SARS-CoV-2. This method is designed to be robust, automatic and suitable to generate estimations at regional level. Obtained results show that, while official data at March the 12th report 12.839 cases in Italy, people infected with the SARS-CoV-2 could be as high as 105.789.
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spelling pubmed-79373442021-03-12 CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy Fenga, Livio PeerJ Epidemiology To date, official data on the number of people infected with the SARS-CoV-2—responsible for the Covid-19—have been released by the Italian Government just on the basis of a non-representative sample of population which tested positive for the swab. However a reliable estimation of the number of infected, including asymptomatic people, turns out to be crucial in the preparation of operational schemes and to estimate the future number of people, who will require, to different extents, medical attentions. In order to overcome the current data shortcoming, this article proposes a bootstrap-driven, estimation procedure for the number of people infected with the SARS-CoV-2. This method is designed to be robust, automatic and suitable to generate estimations at regional level. Obtained results show that, while official data at March the 12th report 12.839 cases in Italy, people infected with the SARS-CoV-2 could be as high as 105.789. PeerJ Inc. 2021-03-04 /pmc/articles/PMC7937344/ /pubmed/33717677 http://dx.doi.org/10.7717/peerj.10819 Text en © 2021 Fenga https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Epidemiology
Fenga, Livio
CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title_full CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title_fullStr CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title_full_unstemmed CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title_short CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
title_sort covid-19: an automatic, semiparametric estimation method for the population infected in italy
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937344/
https://www.ncbi.nlm.nih.gov/pubmed/33717677
http://dx.doi.org/10.7717/peerj.10819
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