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A comparative study between the incidence and epidemiological features of Influenza-Like Illness and laboratory-confirmed COVID-19 cases in the Italian epicenter (Lombardy).
Grosso, Francesca; Castrofino, Ambra; Del Castillo, Gabriele; Galli, Cristina; Binda, Sandro; Pellegrinelli, Laura; Bubba, Laura; Cereda, Danilo; Tirani, Marcello; Gramegna, Maria; Bella, Antonino; Castaldi, Silvana; Pariani, Elena.
  • Grosso F; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Castrofino A; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Del Castillo G; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Galli C; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Binda S; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Pellegrinelli L; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Bubba L; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
  • Cereda D; DG Welfare, Regione Lombardia, Milan, Italy.
  • Tirani M; DG Welfare, Regione Lombardia, Milan, Italy.
  • Gramegna M; DG Welfare, Regione Lombardia, Milan, Italy.
  • Bella A; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy. Electronic address: antonio.bella@iss.it.
  • Castaldi S; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy; Health Management Department, Fondazione IRCCS Ca' Granda OMP, Milan, Italy.
  • Pariani E; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy; Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Genoa, Italy. Electronic address: elena.pariani@unimi.it.
J Infect Public Health ; 14(5): 674-680, 2021 May.
Article in English | MEDLINE | ID: covidwho-1096081
ABSTRACT

INTRODUCTION:

In Lombardy, the influenza surveillance system relies on sentinel physicians that weekly report data on the number of Influenza-Like Illness (ILI) and a part of them also collect nasopharyngeal samples for virologic analyses. This study aims at comparing the ILI incidence of 2019-2020 influenza season with the incidence of COVID-19 cases in order to better understand the current epidemic and to evaluate whether the implementation of ILI surveillance system could succeed in early detection and monitoring of COVID-19 diffusion.

METHODS:

The distribution of ILI cases in the seasons 2017-2018, 2018-2019 and 2019-2020 was taken in consideration and the curve trends were compared and analyzed according to geographical areas, age groups and time differences.

RESULTS:

The curve trends presented a similar pattern up to the 9th week; in fact, a reduction in the ILI incidence rate was observed in the 2017-2018 and 2018-2019 season but in the 2019-2020 an increase in the reported ILI emerged. The relation between the numbers reported by 2019-2020 ILI surveillance and those reported for COVID-19 is supported by the curve trends, the correspondence between age groups, the correspondence by geographical location, and also by the results of the nasopharyngeal swab tests performed.

DISCUSSION:

The influenza surveillance system is an effective tool for early detection of COVID-19. It may provide timely and high-quality data evaluating the SARS-CoV-2 burden among population with ILI. Implementation of the system has to be prioritized in order to identify any future novel respiratory pathogen with pandemic potential.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article Affiliation country: J.jiph.2021.02.003

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article Affiliation country: J.jiph.2021.02.003