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 4.9 in Japan on 12 Jan 2018 09:51 UTC
GDACS Event Report - Media reports

Media coverage of this event

Media analysis

News articles per day
11/01 16/01
34
28
635
164
46
  • Articles: 907
  • Articles about casualties: 79 (8.7%)
  • Articles in last hour: 0

Latest headlines

rss

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

Mentioning 'Japan'

PALAU RAISES $26,000 FOR JAPAN DISASTER

Mon, 15 Jan 2018 13:54:00 +0100pidp (en)

VICTIMS Many Palauans today have Japan ese blood. By Peter Erick Magbanua KOROR, Palau (Island Times, March 29, 2011) – Palau has raised a total of US$25,716 on day one of the fund-raising activity for the victims of the disastrous earthquake and tsunami in Japan.

U.S. urges Japan to eliminate import restrictions on U.S. beef

Sat, 13 Jan 2018 09:13:00 +0100japantoday (en)

The United States has urged Japan to eliminate import restrictions on U.S. beef aimed at preventing the spread of mad cow disease, in the latest push from Washington to open up the Japanese market to U.S. farm imports, bilateral diplomatic sources said. The United States has called for scrapping Japan's current restriction allowing only U.

The Japanese Smart Home Market is Expected to Be US$ 5 Billion by 2024, Growing With Double Digit CAGR

Fri, 12 Jan 2018 12:30:00 +0100prnewswire (en)

. DUBLIN Jan. 12, 2018 /PRNewswire/ -- The " Japan Smart Home Market, Volume and Forecast by Home Automation, Home Entertainment, Ambient Assisted Living (AAL), Energy Management, and Security Company Analysis (Panasonic Corporation, Secual Inc, Connected Design Inc, iTSCOM, Sony Corporation)" company profile has been added to ResearchAndMarkets.

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.