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

Author:

Marziano Valentina1ORCID,Guzzetta Giorgio1,Menegale Francesco12,Sacco Chiara3,Petrone Daniele3,Mateo Urdiales Alberto3,Del Manso Martina3,Bella Antonino3,Fabiani Massimo3,Vescio Maria Fenicia3,Riccardo Flavia3,Poletti Piero1,Manica Mattia1,Zardini Agnese1,d'Andrea Valeria1,Trentini Filippo145,Stefanelli Paola3,Rezza Giovanni6,Palamara Anna Teresa3,Brusaferro Silvio3,Ajelli Marco7,Pezzotti Patrizio3,Merler Stefano1

Affiliation:

1. Center for Health Emergencies Bruno Kessler Foundation Trento Italy

2. Department of Mathematics University of Trento Trento Italy

3. Department of Infectious Diseases Istituto Superiore di Sanità Rome Italy

4. Dondena Centre for Research on Social Dynamics and Public Policy Bocconi University Milan Italy

5. COVID Crisis Lab Bocconi University Milan Italy

6. Health Prevention directorate Ministry of Health Rome Italy

7. Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics Indiana University School of Public Health Bloomington Indiana USA

Abstract

AbstractBackgroundThe 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.MethodsWe 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.ResultsWe 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).ConclusionsSince 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.

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Pulmonary and Respiratory Medicine,Epidemiology

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