2020
DOI: 10.1101/2020.04.08.20056861
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Epidemiological characteristics of COVID-19 cases in Italy and estimates of the reproductive numbers one month into the epidemic

Abstract: Background In February 2020, a locally-acquired COVID-19 case was detected in Lombardia, Italy. This was the first signal of ongoing transmission of SARS-CoV-2 in the country. The outbreak rapidly escalated to a national level epidemic, amid the WHO declaration of a pandemic. MethodsWe analysed data from the national case-based integrated surveillance system of all RT-PCR confirmed COVID-19 infections as of March 24 th 2020, collected from all Italian regions and autonomous provinces. Here we provide a descrip… Show more

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Cited by 159 publications
(241 citation statements)
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“…However, these figures are still orders of magnitude below the scenarios from Lourenço et al [10] that suggest that the majority of the UK population (66 million) could have already been infected by that date. The Lourenço scenarios producing these conclusions rely on severity pyramids that are much milder than those observed from Chinese [5], US [6] and Italian [7] data. Our own analyses indicate that severity is indeed a key driver of uncertainty in case estimates but across all scenarios, the majority of the UK population remained uninfected, and hence timely interventions to reduce physical contact could have a large impact.…”
Section: Discussionmentioning
confidence: 94%
See 1 more Smart Citation
“…However, these figures are still orders of magnitude below the scenarios from Lourenço et al [10] that suggest that the majority of the UK population (66 million) could have already been infected by that date. The Lourenço scenarios producing these conclusions rely on severity pyramids that are much milder than those observed from Chinese [5], US [6] and Italian [7] data. Our own analyses indicate that severity is indeed a key driver of uncertainty in case estimates but across all scenarios, the majority of the UK population remained uninfected, and hence timely interventions to reduce physical contact could have a large impact.…”
Section: Discussionmentioning
confidence: 94%
“…We estimated the age-dependent risk of an infected case being admitted to CC by fitting our models to analyses of case data from China [5] and the United States (US) [6], with recently released Italian data [7] used in a sensitivity analysis (details in Supplement Chapter 1).…”
Section: Data Sourcesmentioning
confidence: 99%
“…34 Anyway, children are less commonly affected by SARS-CoV-2 and most of them presented with mild disease. 35 In Italy, on May 14, only 3.3% of pediatric COVID-19 cases needed hospitalization. 33 Furthermore, closing schools and adopting the Italian government extraordinary measures led to a signi cant reduction of other respiratory infections in children 36 and the fear to refer to the hospital (where probability of infection is high) have led to a substantial decrease (ranging from 73-88%) in Pediatric Emergency Department visits compared with the same time period in 2019 and 2018.…”
Section: Discussionmentioning
confidence: 99%
“…Epidemiological parameters for COVID-19 remain highly uncertain. Among these, R0 has both wide ranges in published estimates (4,10,(26)(27)(28)(29) and is expected to have large effects on outbreak outcome. To evaluate the robustness of our findings, we repeated our analysis of different contact-tracing approaches under R0 values ranging from 1.0 to 4.0 ( Fig.…”
Section: High-uptake Combined Bidirectional Tracing Robustly Doublesmentioning
confidence: 99%