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, Marino, Mantero, Spadoni, Sambucini, Quaglia, Rizzo, C, Sahinovic, Zuber, P. L. F., Tozzi, A. E., the VSN-WAP study group
Rok vydání: 2020
Předmět:
Zdroj: Vaccine. 38:6418-6426
ISSN: 0264-410X
DOI: 10.1016/j.vaccine.2020.07.070
Popis: 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.
Databáze: OpenAIRE
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