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Sunday, 02 May 2010 09:04 |
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BANGKOK POST (May 2, 2010). Thousands of openbill storks in Phra Nakhon Si Ayutthaya's Phak Hai district have died, with avian influenza thought to be a possible cause.
A vast wasteland in tambon Khok Chang of Ayutthaya is home to tens of thousands of Asian openbill storks (nok pakhang). It is one of the largest flocks of birds in Ayutthaya.
A few days ago thousands of Asian openbill storks died without apparent cause. Residents are worried the flock might have been infected with the bird flu virus as Phak Hai district was one of many areas nationwide reported with the virus outbreak last year.
They want authorities to investigate why the birds have died.
``Bird carcasses lie scattered over the wasteland and the canal bank nearby, sending out a bad smell all over the place,'' Vichien Puanglamjiak, a local farmer said.
Phak Hai district chief Rewat Prasong has warned residents to stay away from the area.
Health experts and veterinarians will collect samples from the carcasses to determine the cause of the birds' death, he said.
Mr Rewat said the birds might have eaten some kind of toxic aquatic animal or they might have been poisoned by farmers who raised fish which were eaten by the birds.
In his view, the bird flu virus was unlikely to be the cause of the deaths, as it usually spreads in the early winter season, not in the summer.
However, it was not being ruled out in the investigation, said the district chief. |
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Friday, 19 February 2010 15:47 |
 Riding on the bandwagon and the huge success, as well as, worldwide popularity/usage of Facebook, the Communication and Information Systems for the Control of Avian Influenza (CISCAI) finally lands a space on Facebook. The site was developed and is being managed by Mr. Bambang Wijayanto, CISCAI System Administrator. Recently, Facebook (FB) and similar social networking sites (i.e. Twitter, Friendster,etc.) have proven to be effective media for public and social participation, most specially during post-disaster situations, as have been shown in the most recent Philippine's post -Typhoon Ketsana (2009), where some requests for relief for flood-ravaged victims came from these internet-based sources. Similarly, the same use of internet-based social networking services have been exploited in the post-Haiti earthquake disaster, where most of the reports of buried victims came from text/short messaging system (SMS)/tweets from social networking sites using mobile devices such as cellular phones. |
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Thursday, 18 February 2010 16:58 |
(SOURCE: NOAA) El Niño”Spanish for the child”is the name climate scientists have given the occasional periods of Pacific Ocean warming that play havoc with global weather patterns. For example, El Niño is known to intensify winter storms for residents of the West Coast, Gulf states, and southeast United States. El Niño also dampens Atlantic hurricane formation and can increase the number of Pacific hurricanes. The coming and going of El Niño and disruption of global weather patterns have broad consequences for agriculture, energy consumption, and public safety. Some scientists have proposed that El Niño and its consequences might be intensifying due to global warming. The strong El Niño events of 1982/1983 and 1997/1998 support this idea. |
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Monday, 02 March 2009 12:24 |
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Each week, millions of users around the world search for online health information. As you might expect, there are more flu-related searches during flu season, more allergy-related searches during allergy season, and more sunburn-related searches during the summer. You can explore all of these phenomena using Google Trends. But can search query trends provide an accurate, reliable model of real-world phenomena? |
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Monday, 02 March 2009 11:57 |
The software allowed University of Colorado researchers to map individual gene mutations in H5N1 as the virus spreads around the globe. Google Flu Trends has helped medical researchers track flu outbreaks. Now scientists have used Google Earth to understand how the avian flu virus is gaining resistance to antiviral drugs through evolutionary selection. |
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