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 Guam on 16 May 2017 03:56 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

  • Articles: 125
  • Articles about casualties: 0 (0%)
  • Articles in last hour: 0

Latest headlines


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

Mentioning 'Guam'

Guam quake recorded at magnitude 5.6
Wed, 17 May 2017 05:17:00 +0200   marianasvariety (en)

HAGÅTÑA (The Guam Daily Post) — An earthquake around 2 p.m. Tuesday was strong enough for some island residents to feel a bit of sway, but not powerful enough to knock items off shelves. The U.S. Geological Survey said the earthquake was recorded at a magnitude of 5.6 and occurred about 41 miles south southeast of Inarajan village, Guam.

People and organisations:

5.5 magnitude earthquake hits 67 miles southeast of Guam
Tue, 16 May 2017 06:25:00 +0200   pnc (en)

Guam - The Pacific Tsunami Warning Center reports there is no tsunami threat to Guam or the CNMI from the nearby quake that hit around 1:56 p.m. The 5.5 magnitude earthquake was recorded as being 25 miles deep and about 67 miles southeast of the village of Inarajan, Guam.

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.