Google Tracking System Suggests Swine Flu Is Spreading - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Healthcare // Analytics
01:42 PM
Connect Directly

Google Tracking System Suggests Swine Flu Is Spreading

Experimental Flu Trends for Mexico shows increases in flu-related queries in Mexico City and several other Mexican states during the April 19-25 time period.

Google has released an experimental version of Google Flu Trends to track the spread of the swine flu in Mexico. Google on Monday said flu activity remained low, as seen by its flu-tracking system, but the country-specific version published Wednesday shows a spike in flu activity.

Google said its system detected increases in flu-related queries in Mexico City and several other Mexican states during the April 19-25 time period.

At the same time, Google cautions that Experimental Flu Trends for Mexico is, as the name suggests, an experiment and that the data should be viewed as such.

"While we would prefer to validate this data and improve its accuracy, we decided to release an early version today so that it might help public health officials and concerned individuals get an up-to-date picture of the ongoing swine flu outbreak," explained Google engineers Jeremy Ginsberg and Matt Mohebbi in a blog post. "As with our existing Flu Trends system, estimates are provided across many of Mexico's states and updated every day."

Ginsberg and Mohebbi said flu activity in the United States remains low, as might be expected given the relatively few cases reported in the country. But Google plans to continue its monitoring to look for rising infection.

Google introduced Google Flu Trends in November as a way to visualize the correlation between flu infections and flu-related search activity. Google maintains that searches provide an early warning about the spread of the flu because search data can be gathered and analyzed almost instantly, unlike traditional epidemiological reporting methods.

Ginsberg and Mohebbi explain that Google's "model tries to filter out search queries that are more likely associated with topical searches rather than searches by those who may be experiencing symptoms." Thus the spike shown in the graph on the Experimental Flu Trends for Mexico Web page should correlate with actual flu activity rather than searches prompted by worry.

As of 11 a.m. EDT Wednesday, data from the Centers for Disease Control and Prevention indicated that 91 confirmed swine flu cases have been detected in the United States and that one person -- a child in Texas -- has died as a result of the outbreak.

Google planned to hold a media call at 11 a.m. PDT Wednesday to field questions about its flu-tracking project.

InformationWeek has published an in-depth report on predictive analysis. Download the report here (registration required).

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Comment  | 
Print  | 
More Insights
Data Science: How the Pandemic Has Affected 10 Popular Jobs
Cynthia Harvey, Freelance Journalist, InformationWeek,  9/9/2020
The Growing Security Priority for DevOps and Cloud Migration
Joao-Pierre S. Ruth, Senior Writer,  9/3/2020
Dark Side of AI: How to Make Artificial Intelligence Trustworthy
Guest Commentary, Guest Commentary,  9/15/2020
White Papers
Register for InformationWeek Newsletters
Current Issue
IT Automation Transforms Network Management
In this special report we will examine the layers of automation and orchestration in IT operations, and how they can provide high availability and greater scale for modern applications and business demands.
Flash Poll