Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends.

ABSTRACT:

Background

An extended discussion and research has been performed in recent years using data collected through search queries submitted via the Internet. It has been shown that the overall activity on the Internet is related to the number of cases of an infectious disease outbreak.

Objective

The aim of the study was to define a similar correlation between data from Google Trends and data collected by the official authorities of Greece and Europe by examining the development and the spread of seasonal influenza in Greece and Italy.

Methods

We used multiple regressions of the terms submitted in the Google search engine related to influenza for the period from 2011 to 2012 in Greece and Italy (sample data for 104 weeks for each country). We then used the autoregressive i

SUBMITTER: Samaras L 

PROVIDER: S-EPMC5715201 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature