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.

Mw 5.5 Earthquake, Green alert in Indonesia on 16 Mar 2017 18:39 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
15/03 20/03
37
128
27
41
27
  • Articles: 260
  • Articles about casualties: 6 (2.3%)
  • Articles in last hour: 0

Latest headlines

rss

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

Mentioning 'Indonesia'

Indonesia: ASEAN Weekly Disaster Update, 13 - 19 March 2017
Mon, 20 Mar 2017 05:27:00 +0100   reliefWeb (en)

MYANMAR. Earthquake. 5.1 M earthquake shook Taik Kyi. The earthquake has damaged about 40 buildings. 26 people were also reportedly injured. INDONESIA. Landslide. 194 houses were damaged by landslide in South Minahasa, North Sulawesi Province. Flood. Flood inundated three subdistricts in Jakarta. Nearly 3,300 people were affected.

People and organisations:

Ekstrak Tiram Segar Makin Perkuat Hubungan Indonesia dan Kesennuma
Wed, 15 Mar 2017 23:13:00 +0100   detikcom (id)

Gempa bumi 9 Skala richter dan gelombang tsunami tahun 2011 justru bermakna istimewa. Hubungan Indonesia dan Kesennuma menjadi makin erat. Prefektur Miyagi tempat Kesennuma berada porak poranda diterpa gemombang tsunami. Musibah ini menggerakkan Indonesia melalui presiden Susilo Bambang Yudhoyono untuk memberi bantuan.

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.