The use of web analytics combined with other data streams for tailoring online vaccine safety information at global level: The Vaccine Safety Net's web analytics project.

Autor: Gesualdo F; Bambino Gesù Children's Hospital, Rome, Italy. Electronic address: francesco.gesualdo@opbg.net., Marino F; Bambino Gesù Children's Hospital, Rome, Italy., Mantero J; Bambino Gesù Children's Hospital, Rome, Italy., Spadoni A; Bambino Gesù Children's Hospital, Rome, Italy., Sambucini L; Bambino Gesù Children's Hospital, Rome, Italy., Quaglia G; Bambino Gesù Children's Hospital, Rome, Italy., Rizzo C; Bambino Gesù Children's Hospital, Rome, Italy., Sahinovic I; World Health Organization, Geneva, Switzerland., Zuber PLF; World Health Organization, Geneva, Switzerland., Tozzi AE; Bambino Gesù Children's Hospital, Rome, Italy.
Jazyk: angličtina
Zdroj: Vaccine [Vaccine] 2020 Sep 22; Vol. 38 (41), pp. 6418-6426. Date of Electronic Publication: 2020 Aug 09.
DOI: 10.1016/j.vaccine.2020.07.070
Abstrakt: The Vaccine Safety Net's Web Analytics Project (VSN-WAP) was launched in October 2017 to monitor the behavior of users visiting websites belonging to the VSN, a global network of websites providing science-based information on vaccine safety. Participating websites could provide web metrics in two ways: through a Google Analytics (GA) script, which automatically forwarded metrics to a central account and through manual input (MI) of a reduced subset of metrics (Sessions, Page Views, New Users, Bounce Rate, Views/Session and Average Session Duration), which were pooled with the metrics obtained through GA. Additional metrics were obtained from websites providing data through Google Analytics (Country, Age, Sex, Device). We report results from February 2018 to March 2019. In March 2019, 32 websites were participating in the project (21 through GA, 11 through MI). From February 2018 to March 2019 we recorded 22,471,535 sessions, with 38,307,349 page views. Sessions, New Users and Page views progressively increased, Views/Session, Bounce Rate and Average Session Duration remained stable. Most users were female (68%) and belonged to the 25-34 age range (37%), followed by 35-44 (22%) and 18-24 (19%). Fifty-four percent of users connected from a mobile device, 42% from a desktop and 4% from a tablet. Digital media monitoring techniques can provide insights on the characteristics of users with a specific interest in vaccines. These data can be exploited to improve the performance of websites providing information on vaccines to the general public.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020. Published by Elsevier Ltd.)
Databáze: MEDLINE
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