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 5.5 in Venezuela on 10 Mar 2017 13:46 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
09/03 14/03
  • Articles: 580
  • Articles about casualties: 22 (3.8%)
  • Articles in last hour: 0

Latest headlines


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

Mentioning 'Venezuela'

Realizarán en Venezuela el simulacro de tsunami "Caribe Wave 2017"
Fri, 10 Mar 2017 20:44:00 +0100   globovision (es)

Con parte de la planificación para el ejercicio de simulacro de tsunami “Caribe Wave 2017” , se realizaron pruebas de comunicaciones en las instalaciones del VEN 911, donde está instalada la sala situacional para su ejecución, en esta oportunidad, Venezuela se unirá a otras naciones del Caribe por sexta ocasión.

People and organisations:

Un sismo de 5,5 sacude las costas de Venezuela
Fri, 10 Mar 2017 19:13:00 +0100   ecuavisa (es)

Un sismo de 5,5 sacudió este 10 de marzo de 2017 las costas de Venezuela este viernes, según reportó el Servicio Geológico de Estados Unidos (USGS por sus siglas en inglés). Prelim M5.5 earthquake near the coast of Venezuela Mar-10 13:46 UTC, updates https://t.

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.