Data di Pubblicazione:
2021
Citazione:
Correlation between flu and wikipedia’s pages visualization / V. Gianfredi, O.E. Santangelo, S. Provenzano. - In: ACTA BIO-MEDICA DE L'ATENEO PARMENSE. - ISSN 0392-4203. - 92:1(2021 Feb 08), pp. e2021056.1-e2021056.6. [10.23750/abm.v92i1.9790]
Abstract:
Introduction: This study aimed to assess if the frequency of the Italian general public searches for influenza, using the Wikipedia web-page, are aligned with Istituto Superiore di Sanità (ISS) influenza cases. Materials and Methods: The reported cases of flu were selected from October 2015 to May 2019. Wikipedia Trends was used to assess how many times a specific page was read by users; data were extracted as daily data and aggregated on a weekly basis. The following data were extracted: number of weekly views by users from the October 2015 to May 2019 of the pages: Influenza, Febbre and Tosse (Flu, Fever and Cough, in English). Cross-correlation results are obtained as product-moment correlations between the two times series. Results: Regarding the database with weekly data, temporal correlation was observed between the bulletin of ISS and Wikipedia search trends. The strongest correlation was at a lag of 0 for number of cases and Flu (r=0.7571), Fever and Cough (r=0.7501). The strongest correlation was at a lag of-1 for Fever and Cough (r=0.7501). The strongest correlation was at a lag of 1 for number of cases and Flu (r=0.7559), Fever and Cough (r=0.7501). Conclusions: A possible future application for programming and management interventions of Public Health is proposed.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
flu; Internet; Italy; medical informatics; medical informatics computing; vaccine-preventable diseases
Elenco autori:
V. Gianfredi, O.E. Santangelo, S. Provenzano
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