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新冠疫情:意大利感染人群的一种自动半参数估计方法

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

作者信息

Fenga Livio

机构信息

ISTAT, Rome, Italy.

出版信息

PeerJ. 2021 Mar 4;9:e10819. doi: 10.7717/peerj.10819. eCollection 2021.

Abstract

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.

摘要

迄今为止,意大利政府仅根据拭子检测呈阳性的非代表性人口样本公布了感染导致新冠疫情的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的人数官方数据。然而,对包括无症状感染者在内的感染人数进行可靠估计,对于制定运营方案以及估计未来在不同程度上需要医疗护理的人数至关重要。为了克服当前的数据缺陷,本文提出了一种基于自助法的严重急性呼吸综合征冠状病毒2感染人数估计程序。该方法旨在稳健、自动且适合在区域层面生成估计值。所得结果表明,虽然3月12日的官方数据报告意大利有12839例病例,但感染严重急性呼吸综合征冠状病毒2的人数可能高达105789例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c06e/7937344/8299e51af9e3/peerj-09-10819-g001.jpg

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