﻿<?xml version="1.0" encoding="utf-8"?><rss xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><channel><totalitems>123</totalitems><casualities>8</casualities><lasthour>0</lasthour><title>GDACS EMM News Feed</title><description>
                                                        Europe Media Monitor (EMM) reads and analyses around 40.000 new news items per day from around 1000 sites worldwide. The text of the items, extracted using EMM's own text extraction algorithm, is indexed using Lucene (see http://lucene.apache.org). Please make sure your area of interest is not already covered by one of the pre-defined categories (alerts). If it is, we kindly ask you to use the feed from that category as this significantly reduces the load on our system. This site is a joint project of DG-JRC and DG-COMM. The information on this site is subject to a disclaimer (see http://europa.eu/geninfo/legal_notices_en.htm). Please acknowledge EMM when (re)using this material
                                                    </description><item><title>New York and Fukushima hospitals share coronavirus treatment guidelines</title><link>https://www.japantimes.co.jp/news/2020/05/24/national/science-health/new-york-fukushima-hospitals-share-coronavirus-treatment-guidelines/</link><description>New York – Guidelines for treating novel coronavirus patients drawn up by doctors at a medical school and hospital in New York have been used to treat patients at a university hospital in Fukushima Prefecture. The guidelines were sent by Dr. Takahiro Yanagisawa, professor of Icahn School of Medicine at Mount Sinai, to Fukushima Medical University.</description><pubDate>Sun, 24 May 2020 14:58:00 +0200</pubDate><guid>japantimes-7cf1bd72eb71aecfd6ed44089e7879af</guid><sortelement xmlns="emm">20200524145800</sortelement></item><item><title>New IOM Data Innovation Directory Provides Insight on Migration and Mobility in Times of Crisis</title><link>https://www.iom.int/news/new-iom-data-innovation-directory-provides-insight-migration-and-mobility-times-crisis</link><description>Berlin, Brussels – The International Organization for Migration (IOM) has launched a new data platform to better understand migration and human mobility in times of crisis through new data sources and methodologies such as satellite imagery, artificial intelligence and machine learning, social media and mobile phone data.</description><pubDate>Fri, 22 May 2020 14:54:00 +0200</pubDate><guid>eea-iom-01ef4212cb52f769fc0bc103bfea92cf</guid><sortelement xmlns="emm">20200522145400</sortelement></item><item><title>World: Data Innovation Directory Provides Insight on Migration and Mobility in Times of Crisis</title><link>https://reliefweb.int/report/world/data-innovation-directory-provides-insight-migration-and-mobility-times-crisis</link><description>Berlin, Brussels -- The International Organization for Migration (IOM) has launched a new data platform to better understand migration and human mobility in times of crisis through new data sources and methodologies such as satellite imagery, artificial intelligence and machine learning, social media and mobile phone data.</description><pubDate>Fri, 22 May 2020 14:49:00 +0200</pubDate><guid>reliefWeb-659d156634bc5fd62ad6c51b6ed01930</guid><sortelement xmlns="emm">20200522144900</sortelement></item><item><title>New IOM Data Innovation Directory Provides Insight on Migration and Mobility in Times of Crisis</title><link>https://www.iom.int/news/new-iom-data-innovation-directory-provides-insight-migration-and-mobility-times-crisis</link><description>Berlin, Brussels – The International Organization for Migration (IOM) has launched a new data platform to better understand migration and human mobility in times of crisis through new data sources and methodologies such as satellite imagery, artificial intelligence and machine learning, social media and mobile phone data.</description><pubDate>Fri, 22 May 2020 13:03:00 +0200</pubDate><guid>iom-01ef4212cb52f769fc0bc103bfea92cf</guid><sortelement xmlns="emm">20200522130300</sortelement></item></channel></rss>