Evidence map›Paper›PMID 34278058›Full record

ArticleInfectious Disease Modelling2021

Modelling SARS-CoV-2 unreported cases in Italy: Analysis of serological survey and vaccination scenarios.

Marco Claudio Traini, Carla Caponi, Riccardo Ferrari, Giuseppe Vittorio De Socio

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

4 authors.

Marco Claudio TrainiDipartimento di Fisica, Università Degli Studi di Trento, Via Sommarive 14, I-38123, Trento-Povo, Italy.
Carla CaponiClinica Geriatrica, Azienda Ospedaliero-Universitaria, Piazzale Gambuli 1, 06132, Perugia, Italy.
Riccardo FerrariBilubah LLC, 30 N. Gould St, Suite 6739, Sheridan, WY, 82801, USA.
Giuseppe Vittorio De SocioClinica Malattie Infettive, Azienda Ospedaliero-Universitaria, Piazzale Gambuli 1, 06132, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAim of the present paper is the study of the large unreported component, characterizing the SARS-CoV-2 epidemic event in Italy, taking advantage of the Istat survey. Particular attention is devoted to the sensitivity and specificity of the serological test and their effects.

methodsThe model satisfactory reproduces the data of the Italian survey showing a relevant predictive power and relegating in a secondary position models which do not include, in the simulation, the presence of asymptomatic groups. The corrections due to the serological test sensitivity (in particular those ones depending on the symptoms onset) are crucial for a realistic analysis of the unreported (and asymptomatic) components.

resultsThe relevant presence of an unreported component during the second pandemic wave in Italy is confirmed and the ratio of reported to unreported cases is predicted to be roughly 1:4 in the last months of year 2020. A method to correct the serological data on the basis of the antibody sensitivity is suggested and systematically applied. The asymptomatic component is also studied in some detail and its amount quantified. A model analyses of the vaccination scenarios is performed confirming the relevance of a massive campaign (at least 80000 immunized per day) during the first six months of the year 2021, to obtain important immunization effects within August/September 2021.

Indexed as

ARS-CoV-2Asymptomatic and unreported casesEpidemiological modelsSensitivity and specificity of the serological testsSeroprevalenceVaccination

Identifiers

PMID34278058
PMCPMC8276585

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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.