Epidemiological characteristics of COVID-19 cases and estimates of the reproductive numbers 1 month into the epidemic, Italy, 28 January to 31 March 2020

Type: Article

Publication Date: 2020-12-10

Citations: 183

DOI: https://doi.org/10.2807/1560-7917.es.2020.25.49.2000790

Abstract

Background On 20 February 2020, a locally acquired coronavirus disease (COVID-19) case was detected in Lombardy, Italy. This was the first signal of ongoing transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the country. The number of cases in Italy increased rapidly and the country became the first in Europe to experience a SARS-CoV-2 outbreak. Aim Our aim was to describe the epidemiology and transmission dynamics of the first COVID-19 cases in Italy amid ongoing control measures. Methods We analysed all RT-PCR-confirmed COVID-19 cases reported to the national integrated surveillance system until 31 March 2020. We provide a descriptive epidemiological summary and estimate the basic and net reproductive numbers by region. Results Of the 98,716 cases of COVID-19 analysed, 9,512 were healthcare workers. Of the 10,943 reported COVID-19-associated deaths (crude case fatality ratio: 11.1%) 49.5% occurred in cases older than 80 years. Male sex and age were independent risk factors for COVID-19 death. Estimates of R 0 varied between 2.50 (95% confidence interval (CI): 2.18–2.83) in Tuscany and 3.00 (95% CI: 2.68–3.33) in Lazio. The net reproduction number R t in northern regions started decreasing immediately after the first detection. Conclusion The COVID-19 outbreak in Italy showed a clustering onset similar to the one in Wuhan, China. R 0 at 2.96 in Lombardy combined with delayed detection explains the high case load and rapid geographical spread. Overall, R t in Italian regions showed early signs of decrease, with large diversity in incidence, supporting the importance of combined non-pharmacological control measures.

Locations

  • PubMed Central - View
  • Ktisis at Cyprus University of Technology (Cyprus University of Technology) - View - PDF
  • Institutional Research Information System (University of Udine) - View - PDF
  • PubMed - View
  • Eurosurveillance - View - PDF

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