Evidence map›Paper›PMID 33865059›Full record

ArticleJournal of infection and public health2021

A comparative study between the incidence and epidemiological features of Influenza-Like Illness and laboratory-confirmed COVID-19 cases in the Italian epicenter (Lombardy).

Francesca Grosso, Ambra Castrofino, Gabriele Del Castillo, Cristina Galli, Sandro Binda, Laura Pellegrinelli, Laura Bubba, Danilo Cereda, Marcello Tirani, Maria Gramegna and 3 more

Abstract read
In one paragraph

Article in Journal of infection and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Francesca GrossoDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Ambra CastrofinoDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Gabriele Del CastilloDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Cristina GalliDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Sandro BindaDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Laura PellegrinelliDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Laura BubbaDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Danilo CeredaDG Welfare, Regione Lombardia, Milan, Italy.
Marcello TiraniDG Welfare, Regione Lombardia, Milan, Italy.
Maria GramegnaDG Welfare, Regione Lombardia, Milan, Italy.
Antonino BellaDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy. Electronic address: antonio.bella@iss.it.
Silvana CastaldiDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy; Health Management Department, Fondazione IRCCS Ca' Granda OMP, Milan, Italy.
Elena ParianiDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn 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.

methodsThe 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.

resultsThe 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.

Indexed as

COVID-19Influenza, HumanHumansIncidenceItalyLaboratoriesSARS-CoV-2SeasonsSentinel SurveillanceInfluenza-Like IllnessLaboratory-confirmed COVID-19SARS-CoV-2 epidemicSurveillance of influenza

Identifiers

PMID33865059
PMCPMC7901382

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.