{"version":"1.0","provider_name":"IT:U","provider_url":"https:\/\/it-u.at\/en\/","title":"GeoEpi | IT:U","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"XLwgLkrj45\"><a href=\"https:\/\/it-u.at\/en\/research\/research-groups\/geosocial-ai\/projects\/geoepi\/\">GeoEpi<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/it-u.at\/en\/research\/research-groups\/geosocial-ai\/projects\/geoepi\/embed\/#?secret=XLwgLkrj45\" width=\"600\" height=\"338\" title=\"&#8220;GeoEpi&#8221; &#8212; IT:U\" data-secret=\"XLwgLkrj45\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/it-u.at\/wp-content\/uploads\/2025\/05\/27\/tema2.png","thumbnail_width":929,"thumbnail_height":891,"description":"GeoEpi: Spatio-temporal epidemiology of emerging viruses \u2014 leveraging crowdsourced data and occurrence data to improve early disease detection systems\u00a0 The evolving field of spatial epidemiology aims to describe and analyze the distribution of health outcomes in relation to geographic determinants. Pathogens exhibit spatially and temporally fine-grained distribution patterns that can be used to describe their [&hellip;]"}