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        <title>MedWorm Tags: epidemics</title>
        <description>MedWorm provides a medical RSS filtering service. Over 6000 RSS medical sources are combined and output via different filters. This feed contains the latest medical blog items that have been tagged with 'epidemics'.</description>
        <link><![CDATA[http://www.medworm.com/rss/search.php?qu=%22epidemics%22&t=%22epidemics%22&r=Exact&o=d&f=tag]]></link>
        <lastBuildDate>Sat, 03 Sep 2011 02:53:10 +0100</lastBuildDate>
        <item>
            <title>Could Twitter Be Used To Predict Epidemics?</title>
            <link>http://www.medworm.com/index.php?rid=5107515&amp;cid=t_178398_87_f&amp;fid=39187&amp;url=http%3A%2F%2Fgetbetterhealth.com%2Fcould-twitter-be-used-to-predict-epidemics%2F2011.08.09</link>
            <description>Do you remember when Google Flu Trends was announced to be able to track and predict flu outbreaks in US states based on the search queries focusing on flu symptoms? Do you remember when a study pointed out although it was interactive and neat but was not as useful as CDC national surveillance programs? Well, now Twitter is meant to fill this gap. If you ask me, it won’t.


			
			*This blog post was originally published at ScienceRoll* (Source: Better Health)</description>
            <author>Better Health</author>
            <type>blogs</type>
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            <pubDate>Tue, 09 Aug 2011 12:00:43 +0100</pubDate>
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            <title>How social networks predict epidemics</title>
            <link>http://www.medworm.com/index.php?rid=3999054&amp;cid=t_178398_109_f&amp;fid=38950&amp;url=http%3A%2F%2Fwww.shockmd.com%2F2010%2F09%2F24%2Fhow-social-networks-predict-epidemics%2F</link>
            <description>After mapping humans&amp;#8217; intricate social networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used to detect epidemics earlier than ever, from the spread of innovative ideas to risky behaviors to viruses (like H1N1).


Related posts:The hidden influence of social networks
Photograph Use on Social Networks
How do social relationships function online (Source: Dr Shock MD PhD)</description>
            <author>Dr Shock MD PhD</author>
            <type>blogs</type>
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            <pubDate>Fri, 24 Sep 2010 06:32:34 +0100</pubDate>
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        <item>
            <title>Can Social Networks Predict Epidemics?</title>
            <link>http://www.medworm.com/index.php?rid=3993910&amp;cid=t_178398_87_f&amp;fid=39187&amp;url=http%3A%2F%2Fgetbetterhealth.com%2Fcan-social-networks-predict-epidemics%2F2010.09.21</link>
            <description>Nicholas Christakis talks about how social networks predict epidemics in a TEDMED presentation:
After mapping humans’ intricate social networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used to detect epidemics earlier than ever, from the spread of innovative ideas to risky behaviors to viruses (like H1N1).


			
			*This blog post was originally published at ScienceRoll* (Source: Better Health)</description>
            <author>Better Health</author>
            <type>blogs</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3993910</comments>
            <pubDate>Tue, 21 Sep 2010 18:00:10 +0100</pubDate>
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            <title>Age of Diagnosis and the Apparent Increase in Autism</title>
            <link>http://www.medworm.com/index.php?rid=2005916&amp;cid=t_178398_133_f&amp;fid=35096&amp;url=http%3A%2F%2Ffeeds.b5media.com%2F%7Er%2Fb5media%2FAutismVox%2F%7E3%2FbpYDN-p0c5k%2F</link>
            <description>Conclusions Shifts in age at diagnosis inflated the observed prevalence of autism in young children in the more recent cohorts compared with the oldest cohort. This study supports the argument that the apparent increase in autism in recent years is at least in part attributable to decreases in the age at diagnosis over time.
When Charlie was just diagnosed and shortly after (in 1999-2000), we were often told that he&amp;#8212;he was 2-3 years old then&amp;#8212;was &amp;#8220;very young&amp;#8221; to be diagnosed. Now, it seems standard for children to be diagnosed by the time they&amp;#8217;re the age Charlie was when he was diagnosed with autism back in 1999. It seems more than obvious to me that we would have been told that they were seeing &amp;#8220;red flags&amp;#8221; about, who knows, 6-month-old Charlie&amp;#821...</description>
            <author>Autism Vox</author>
            <type>blogs</type>
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            <pubDate>Tue, 02 Dec 2008 07:48:22 +0100</pubDate>
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            <title>Historic Health: ‘Plague in Gotham! Cholera in 19th Century NYC.’</title>
            <link>http://www.medworm.com/index.php?rid=1376690&amp;cid=t_178398_87_f&amp;fid=34872&amp;url=http%3A%2F%2Fwww.healthbolt.net%2F2008%2F04%2F16%2Fhistoric-health-plague-in-gotham-cholera-in-19th-century-nyc%2F</link>
            <description>&amp;#8220;&amp;#8230;one may take a walk up &amp; down Broadway &amp; scare meet a soul.&amp;#8221;
Almost impossible to imagine these days but apparently that was the way it was back in 1832 when New York City was in the middle of a cholera epidemic.
By the time it had ended, over 3000 people had died out a population of 250,000. A dreadful time. And the worst of it - the medical profession didn&amp;#8217;t know what caused it. It seemed to be a mystery.
Those who could afford to escaped the city. The New York Evening Post reported
&amp;#8220;The roads, in all directions, were lined with well-filled stagecoaches, livery coaches, private vehicles, and equestrians, all panic-struck, fleeing the city, as we may suppose the inhabitants of Pompeii fled when the red lava showered down upon their houses.&amp;#8221;
Th...</description>
            <author>Healthbolt</author>
            <type>blogs</type>
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            <pubDate>Wed, 16 Apr 2008 10:33:05 +0100</pubDate>
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