Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 1:5:43.
doi: 10.1186/s41256-020-00170-3. eCollection 2020.

First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast

Affiliations

First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast

Rosario Megna. Glob Health Res Policy. .

Abstract

Background: The first outbreak of COVID-19 in Italy occurred during the second half of February 2020 in some areas in the North of the country. Due to the high contagiousness of the infection, further spread by asymptomatic people, Italy has become in a few weeks the country with the greatest number of infected people in the world. The large number of severe cases among infected people in Italy led to the hospitalization of thousands of patients, with a heavy burden on the National Health Service.

Methods: We analyzed data provided daily by Italian Authorities for the period from 24 February 2020 to 30 March 2020. Considering such information, we developed a forecast model in real-time, based on the cumulative log-logistic distribution.

Results: A total of 101,739 infected individuals were confirmed until 30 March 2020, of which 14,620 recovered or discharged, and 11,591 deaths. Until the same date patients quarantined at home were 43,752, whereas hospitalized patients were 31,776, of which 3981 in intensive care. The active cases (i.e. the number of patients not yet recovered until that date) were 75,528. The forecast model estimated a number of infected persons for Italy of 234,000 about, and a duration of the epidemic of approximately 4 months.

Conclusions: One month after the first outbreaks there seemed to be the first signs of a decrease in the number of infections, showing that we could be now facing the descending phase of the epidemic. The forecast obtained thanks to our model could be used by decision-makers to implement coordinative and collaborative efforts in order to control the epidemic. The pandemic due to novel Coronavirus must be a warning for all countries worldwide, regarding a rapid and complete dissemination of information, surveillance, health organization, and cooperation among the states.

Keywords: COVID-19; Epidemiology; Forecast in real-time; Forecast model; Outbreak; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

Competing interestsThe author declare that he has no competing interests.

Figures

Fig. 1
Fig. 1
Daily distribution of the performed swabs and confirmed cases. The numbers are related to the ratio, in percentage, between confirmed cases and performed swabs
Fig. 2
Fig. 2
Cumulative distribution of the confirmed cases and patient categories
Fig. 3
Fig. 3
Cumulative curve obtained by the forecasted model of the epidemic in Italy in real-time. Predictions are represented by the red line, with the gray area to indicate 95% CI. The blue points represent the confirmed cases

References

    1. Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Feng Z. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020. 10.1056/NEJMoa2001316. - PMC - PubMed
    1. World Health Organization. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-re.... Accessed 25 Mar 2020.
    1. Lee EYP, Ng MY, Khong PL. COVID-19 pneumonia: what has CT taught us? Lancet Infect Dis. 2020. 10.1016/S1473-3099(20)30134-1. - PMC - PubMed
    1. Leung C. Clinical features of deaths in the novel coronavirus epidemic in China. Rev Med Virol. 2020:e2103. 10.1002/rmv.2103. - PMC - PubMed
    1. Porcheddu R, Serra C, Kelvin D, Kelvin N, Rubino S. Similarity in case fatality rates (CFR) of COVID-19/SARS-COV-2 in Italy and China. J Infect Dev Ctries. 2020;14(2):125–8. 10.3855/jidc.1260. - PubMed