A quantitative assessment of epidemiological parameters to model COVID- 19 burden
Agnese Zardini, Margherita Galli, Marcello Tirani, Danilo Cereda,, Mattia Manica, Filippo Trentini, Giorgio Guzzetta, Valentina Marziano,, Raffaella Piccarreta, Alessia Melegaro, Marco Ajelli, Piero Poletti and, Stefano Merler

TL;DR
This study provides detailed age-specific estimates of COVID-19 clinical progression, severity, and outcomes based on Italian data, improving the accuracy of epidemiological models and public health planning.
Contribution
It offers novel age-stratified probabilities of disease progression, hospitalization, ICU admission, and fatality, derived from extensive contact tracing and serological data.
Findings
Older age increases risk of symptoms and severe outcomes.
Infection fatality ratio varies significantly with age.
Median hospital stay is approximately 10 days.
Abstract
Solid estimates describing the clinical course of SARS-CoV-2 infections are still lacking due to under-ascertainment of asymptomatic and mild-disease cases. In this work, we quantify age-specific probabilities of transitions between stages defining the natural history of SARS-CoV-2 infection from 1,965 SARS-CoV-2 positive individuals identified in Italy between March and April 2020 among contacts of confirmed cases. Infected contacts of cases were confirmed via RT-PCR tests as part of contact tracing activities or retrospectively via IgG serological tests and followed-up for symptoms and clinical outcomes. In addition, we provide estimates of time intervals between key events defining the clinical progression of cases as obtained from a larger sample, consisting of 95,371 infections ascertained between February and July 2020. We found that being older than 60 years of age was associated…
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Taxonomy
TopicsCOVID-19 epidemiological studies · SARS-CoV-2 detection and testing · SARS-CoV-2 and COVID-19 Research
