Evidence map›Paper›PMID 37599801›Full record

ArticleInfluenza and other respiratory viruses2023

Estimating SARS-CoV-2 infections and associated changes in COVID-19 severity and fatality.

Valentina Marziano, Giorgio Guzzetta, Francesco Menegale, Chiara Sacco, Daniele Petrone, Alberto Mateo Urdiales, Martina Del Manso, Antonino Bella, Massimo Fabiani, Maria Fenicia Vescio and 13 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

18 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

23 authors.

Valentina MarzianoCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.ORCID 0000-0003-2842-7906
Giorgio GuzzettaCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Francesco MenegaleCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Chiara SaccoDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Daniele PetroneDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Alberto Mateo UrdialesDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Martina Del MansoDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Antonino BellaDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Massimo FabianiDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Maria Fenicia VescioDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Flavia RiccardoDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Piero PolettiCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Mattia ManicaCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Agnese ZardiniCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Valeria d'AndreaCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Filippo TrentiniCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.
Paola StefanelliDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Giovanni RezzaHealth Prevention directorate Ministry of Health Rome Italy.
Anna Teresa PalamaraDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Silvio BrusaferroDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Marco AjelliLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics Indiana University School of Public Health Bloomington Indiana USA.
Patrizio PezzottiDepartment of Infectious Diseases Istituto Superiore di Sanità Rome Italy.
Stefano MerlerCenter for Health Emergencies Bruno Kessler Foundation Trento Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The difficulty in identifying SARS-CoV-2 infections has not only been the major obstacle to control the COVID-19 pandemic but also to quantify changes in the proportion of infections resulting in hospitalization, intensive care unit (ICU) admission, or death. Methods: We developed a model of SARS-CoV-2 transmission and vaccination informed by official estimates of the time-varying reproduction number to estimate infections that occurred in Italy between February 2020 and 2022. Model outcomes were compared with the Italian National surveillance data to estimate changes in the SARS-CoV-2 infection ascertainment ratio (IAR), infection hospitalization ratio (IHR), infection ICU ratio (IIR), and infection fatality ratio (IFR) in five different sub-periods associated with the dominance of the ancestral lineages and Alpha, Delta, and Omicron BA.1 variants. Results: We estimate that, over the first 2 years of pandemic, the IAR ranged between 15% and 40% (range of 95%CI: 11%-61%), with a peak value in the second half of 2020. The IHR, IIR, and IFR consistently decreased throughout the pandemic with 22-44-fold reductions between the initial phase and the Omicron period. At the end of the study period, we estimate an IHR of 0.24% (95%CI: 0.17-0.36), IIR of 0.015% (95%CI: 0.011-0.023), and IFR of 0.05% (95%CI: 0.04-0.08). Conclusions: Since 2021, changes in the dominant SARS-CoV-2 variant, vaccination rollout, and the shift of infection to younger ages have reduced SARS-CoV-2 infection ascertainment. The same factors, combined with the improvement of patient management and care, contributed to a massive reduction in the severity and fatality of COVID-19.

Indexed as

COVID-19HospitalizationHumansPandemicsSARS-CoV-2IFRIHRinfection ascertainment ratioinfection fatality ratioinfection hospitalization ratioSARS‐CoV‐2

Identifiers

PMID37599801
PMCPMC10432583

What OpenQuestion holds

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Registered trials

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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.