{"id":1283,"date":"2012-12-12T00:14:31","date_gmt":"2012-12-12T00:14:31","guid":{"rendered":"http:\/\/www.chaordicsolutions.co.uk\/blog\/?p=1283"},"modified":"2012-12-12T00:18:18","modified_gmt":"2012-12-12T00:18:18","slug":"googles-flu-map-might-predict-the-next-big-epidemic","status":"publish","type":"post","link":"https:\/\/www.chaordicsolutions.co.uk\/blog\/from-our-business-continuity-and-pandemic-planning-consultants\/googles-flu-map-might-predict-the-next-big-epidemic\/","title":{"rendered":"Google\u2019s flu map might predict the next big epidemic"},"content":{"rendered":"

\"\"<\/a>Google\u2019s flu map might predict next big epidemic: using search frequency data to predict real-world phenomena like flu.<\/p>\n

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Extract from Fast Company – Kelsey Campbell-Dollaghan:<\/strong><\/p>\n

You\u2019re definitely going to get the flu this year.<\/em><\/p>\n

Alright, sorry, maybe not definitely. But the CDC is reporting that flu season is off to an \u201cearly start,\u201d and will likely be one of the worst in the past decade.<\/em><\/p>\n

How does the CDC predict such things? With cold, hard clinical evidence: The organization publishes a weekly FluView<\/a> report based on the number of patients who have reported flu-like symptoms and the number of hospitalizations. But as CDC Director Thomas Frieden noted, the spread of the flu is fairly \u201cunpredictable,\u201d and FluView has a one- to two-week lag.<\/em><\/p>\n

Leave it to Google to leverage our search data to create an almost real-time prediction map. \u201cIn 2007, a small team of engineers began to explore ways of accurately modeling real-world phenomena using patterns in search queries,\u201d Corrie Conrad, a senior program manager at Google, tells Co.Design. \u201cWe found that what people search for is actually a good indicator of influenza activity in a population.\u201d The resulting Google.org project, Google Flu Trends<\/a>, tracks the number of times that users search for flu information, like \u201dflu symptoms\u201d or \u201cflu remedy.” Then, each search is added to the map using the IP address associated with the query, creating a localized map that predicts outbreaks in near real-time. It\u2019s essentially a map that uses the Google Trends to predict illness. \u201cWhile traditional systems require 1-2 weeks to gather and process surveillance data, our estimates are current each day,\u201d explain the Google team in a piece in the journal Nature (PDF here<\/a>).<\/em><\/p>\n

\u201cOf course, not every person who searches for \u2018flu\u2019 is actually sick, but a pattern emerges when all the flu-related search queries are added together,\u201d say the designers. \u201cWe compared our query counts with traditional flu surveillance systems and found that many search queries tend to be popular exactly when flu season is happening.\u201d This year, a group of Johns Hopkins and CDC researchers authored a study proving<\/a> that the Flu Trends data is closely correlated with an increase in emergency room activity in general.<\/em><\/p>\n

Could Google Trends emerge as an ally for hospitals struggling during times of epidemics and pandemics? Despite the privacy qualms many have about Google, it\u2019s a remarkable idea. Conrad tells Co.Design that they have no current plans to expand the methodology to more diseases, but they\u2019ve found that their system is also accurate in predicting Dengue<\/a>. It\u2019s interesting to imagine how the methodology could be applied to more general trends–birth rates, for example, or even mental health issues. One Finnish data junkie, for example, has used the data to compare it<\/a> to sick days taken. It correlates \u2026 roughly.<\/em><\/p>\n

More ..<\/strong>. http:\/\/www.fastcodesign.com\/1671408\/infographic-googles-flu-map-might-predict-the-next-big-epidemic?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Google\u2019s flu map might predict next big epidemic: using search frequency data to predict real-world phenomena like flu.  <\/p>\n","protected":false},"author":1,"featured_media":36,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[24],"tags":[62,68,64,66],"_links":{"self":[{"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/posts\/1283"}],"collection":[{"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/comments?post=1283"}],"version-history":[{"count":7,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/posts\/1283\/revisions"}],"predecessor-version":[{"id":1289,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/posts\/1283\/revisions\/1289"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/media\/36"}],"wp:attachment":[{"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/media?parent=1283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/categories?post=1283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.chaordicsolutions.co.uk\/blog\/wp-json\/wp\/v2\/tags?post=1283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}