GDACS is a cooperation framework between the United Nations, the European Commission and disaster managers worldwide to improve alerts, information exchange and coordination in the first phase after major sudden-onset disasters.

M 5.6 in Pakistan on 12 Mar 2012 06:06 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
11/03 16/03
  • Articles: 1320
  • Articles about casualties: 26 (2%)
  • Articles in last hour: 0

Latest headlines


The headlines below have been automatically extracted by the Europe Media Monitor.

Mentioning 'Pakistan'

Travel and Tourism in Pakistan - Market Report - new market research report published
Tue, 13 Mar 2012 15:42:00 +0100   pr-inside (en)

( In 2010, one third of the country suffered from the worst floods in the history of Pakistan . This wreaked havoc not only on the economy of the country but also various other segments. It has had, and will continue to have for a long time afterwards, far-reaching consequences.

People and organisations:

5.4-magnitude earthquake hits Pakistan
Mon, 12 Mar 2012 08:33:00 +0100   xinhuanet_en (en)

ISLAMABAD, March 12 (Xinhua) -- An Earthquake measuring 5.4 on the Richter scale hit Pakistan 's northern province of Gilgit Baltistan and northwest province of Khyber Pakhtunkhwa on Monday morning, reported local Meteorological Department. Earthquake tremors were felt at about 11:30 a.m.

People and organisations:

Other news (show)

Social media analysis

Experimental feature

The information below is extracted by an experimental JRC system to analyze Twitter messages for the occurance of secondary effects for earthquakes and tsunamis. This feature is currently not available for other disaser types.

Twitter reaction

The graph above shows the number of tweets per minute just before and just after the earthquake. The higher the values and the larger the difference between before and after, the more the earthquake was felt by the local population. Note that after 20 to 30 minutes, many tweets will come from areas not near the earthquake. These indicate general interest in this event rather than local impact.

Tweets mentioning secondary effects

The graph above shows tweets for keywords related to common secondary effects. A large difference between tweets counts before and after the event for any of these keywords is a good indication that the secondary effect occurred.