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Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy
Italy has been one of the most severely affected countries by the COVID-19 pandemic, and the case fatality rate (CFR) estimated based on Italian data is one of the highest worldwide. We analyzed public data from the first 50 days of the epidemic in Italy (from February 24 to April 13, 2020) to evalu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The American Society of Tropical Medicine and Hygiene
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695102/ https://www.ncbi.nlm.nih.gov/pubmed/33078703 http://dx.doi.org/10.4269/ajtmh.20-0862 |
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author | Vicentini, Costanza Bazzolo, Stefano Gamba, Dario Zotti, Carla Maria |
author_facet | Vicentini, Costanza Bazzolo, Stefano Gamba, Dario Zotti, Carla Maria |
author_sort | Vicentini, Costanza |
collection | PubMed |
description | Italy has been one of the most severely affected countries by the COVID-19 pandemic, and the case fatality rate (CFR) estimated based on Italian data is one of the highest worldwide. We analyzed public data from the first 50 days of the epidemic in Italy (from February 24 to April 13, 2020) to evaluate whether evolving testing strategies and capacity could account for trends in the CFR. The CFR increased during the study period, and a significant positive correlation was found between the CFR and the percentage of positive tests among performed real-time PCR tests (positive tests % [POS%]) until March 25, suggesting the surveillance system did not detect a growing number of cases in the initial phase of the epidemic. To avoid distortion due to the delay between the identification of cases and deaths, the expected CFR (expCFR) was calculated, which represents the ratio between the predicted number of cases and deaths at the end of the epidemic based on the best fitting logistic curves of the cumulative numbers of cases and deaths. The expCFR began a downward trend from the 40th day. In the final phase, a decrease in both expCFR and POS% was identified, suggesting an improvement in surveillance. The results of this study suggest data from the first 50 days of the COVID-19 epidemic in Italy were severely affected by ascertainment bias. Insufficient testing and isolation of cases could have facilitated the widespread transmission of COVID-19 in the early stages of the outbreak. |
format | Online Article Text |
id | pubmed-7695102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The American Society of Tropical Medicine and Hygiene |
record_format | MEDLINE/PubMed |
spelling | pubmed-76951022020-11-30 Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy Vicentini, Costanza Bazzolo, Stefano Gamba, Dario Zotti, Carla Maria Am J Trop Med Hyg Articles Italy has been one of the most severely affected countries by the COVID-19 pandemic, and the case fatality rate (CFR) estimated based on Italian data is one of the highest worldwide. We analyzed public data from the first 50 days of the epidemic in Italy (from February 24 to April 13, 2020) to evaluate whether evolving testing strategies and capacity could account for trends in the CFR. The CFR increased during the study period, and a significant positive correlation was found between the CFR and the percentage of positive tests among performed real-time PCR tests (positive tests % [POS%]) until March 25, suggesting the surveillance system did not detect a growing number of cases in the initial phase of the epidemic. To avoid distortion due to the delay between the identification of cases and deaths, the expected CFR (expCFR) was calculated, which represents the ratio between the predicted number of cases and deaths at the end of the epidemic based on the best fitting logistic curves of the cumulative numbers of cases and deaths. The expCFR began a downward trend from the 40th day. In the final phase, a decrease in both expCFR and POS% was identified, suggesting an improvement in surveillance. The results of this study suggest data from the first 50 days of the COVID-19 epidemic in Italy were severely affected by ascertainment bias. Insufficient testing and isolation of cases could have facilitated the widespread transmission of COVID-19 in the early stages of the outbreak. The American Society of Tropical Medicine and Hygiene 2020-12 2020-10-15 /pmc/articles/PMC7695102/ /pubmed/33078703 http://dx.doi.org/10.4269/ajtmh.20-0862 Text en © The American Society of Tropical Medicine and Hygiene This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Articles Vicentini, Costanza Bazzolo, Stefano Gamba, Dario Zotti, Carla Maria Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title | Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title_full | Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title_fullStr | Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title_full_unstemmed | Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title_short | Analysis of the Fatality Rate in Relation to Testing Capacity during the First 50 days of the COVID-19 Epidemic in Italy |
title_sort | analysis of the fatality rate in relation to testing capacity during the first 50 days of the covid-19 epidemic in italy |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695102/ https://www.ncbi.nlm.nih.gov/pubmed/33078703 http://dx.doi.org/10.4269/ajtmh.20-0862 |
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