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 6 in India on 14 Mar 2017 02:51 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
13/03 18/03
  • Articles: 296
  • Articles about casualties: 8 (2.7%)
  • Articles in last hour: 0

Latest headlines


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

Mentioning 'India'

Strong hits India's Andaman & Nicobar Islands
Tue, 14 Mar 2017 08:38:00 +0100   xinhuanet_en (en)

NEW DELHI, March 14 (Xinhua) -- A 5.9-magnitude earthquake hit India 's Andaman and Nicobar Islands on Tuesday, a senior official said. However, there have been no reports of any casualty or damage to properties, he said. "The quake occurred at a point of 6.4 degrees north latitude and 92.2 degrees east longitude in Nicobar Islands.

People and organisations:

Two Nepalis die, one missing in India avalanche
Tue, 14 Mar 2017 07:26:00 +0100   ekantipur (en)

Mar 14, 2017- Two Nepalis have died and one other is still missing in an avalanche at Budi in Pithauragadh, India on Saturday. Due to the remoteness of the place of the incident the news of their death came into light few days later. The deceased Nepalis have been identified as Suresh Kunwar, 22, of....

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.