Unfortunately, the TechPresident folks seem to be mistaking Dr. Niman's work for the work of a researcher in the UK that had a completely open Google Map that anyone could add data to report suspected and confirmed cases of Swine Flu.  The results of that UK effort were what you might expect, and ended up with all sorts of garbage in the data.

Dr. Niman's work started on Google MyMaps with him trying to drop pins on the map wherever he and his colleagues found cases.   I don't believe he ever used Twitter as a source, and has always been doing this by hand from the start.  The data was pretty much not structured and did lead to some duplication. 

Rhiza Labs stepped in yesterday and helped build a more reasonable way of collecting this data, with the result being a highly curated collection of reports of suspected and confirmed swine flu cases.  The results of this work are up on http://flutracker.rhizalabs.com

You can download the raw data, as well as play around with our visualization tool if you want.  Our visualization tool specializes in helping users explore and create custom analysis of geospatial data, regardless of the size of the dataset(s).  


The bottom line in all of this is that neither the government, nor other health agencies, are providing tools for exploring and visualizing this data for people who want more details.  The lack of a comprehensive tracking system is appalling and has led to all of these ad hoc efforts.

-josh

logoJosh Knauer, CEO of Rhiza Labs 
[email protected] | office: 412-488-0600 | cell: 412-551-2163 | twitter: jknauer


On Apr 30, 2009, at 2:02 PM, [email protected] wrote:


In the more interesting category - there has been some criticism of crowdsourced data for tracking the flu.  Specifically the Google My Map built by Dr. Henry Niman in regards to accuracy (see story from TechPresident below).  We have this as one of the feeds listed above as well, but a topic worth discussion when it comes to data accuracy especially when it comes to media reports and the challenge of geocoding stories.  This is challenging when the same event is reported by multiple sources and duplication becomes a issues.  Particularily challenging when the outbreak is reported by different sources but are geocoded to different locations (centroid on New York State in one story and Manhattan in another story on the same outbreak instance).

Story makes the case that the Google MyMap needs an editor.  This sounds like what Rhiza Labs is doing - is that correct Josh?

http://techpresident.com/blog-entry/wwgd-pandemic-google-swine-flu-map-needs-editor

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