{"id":206,"date":"2024-06-06T09:06:58","date_gmt":"2024-06-06T09:06:58","guid":{"rendered":"https:\/\/www.spatialdatasite.com\/?p=206"},"modified":"2025-10-01T09:06:43","modified_gmt":"2025-10-01T09:06:43","slug":"e4warning-datasets","status":"publish","type":"post","link":"https:\/\/www.spatialdatasite.com\/index.php\/2024\/06\/06\/e4warning-datasets\/","title":{"rendered":"E4Warning Data Package"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container\"><\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><strong><a href=\"https:\/\/www.e4warning.eu\/\" data-type=\"URL\" data-id=\"https:\/\/www.e4warning.eu\/\">E4Warning<\/a><\/strong> aims to improve our&nbsp;understanding of the interplay between humans, mosquitoes,&nbsp;reservoir species, and the environment for a better&nbsp;disease intelligence capable of anticipating and identifying&nbsp;mosquito-borne diseases&#8217; epidemic risks and outbreaks.<\/p>\n\n\n\n<p>To address the complexity of Mosquito-borne diseases (MBDs), the E4Warning consortium\u00a0is made up of an interdisciplinary and innovative team from\u00a012 organisations from Spain, Germany, Greece, Belgium, Switzerland, and the United Kingdom,\u00a0with experience in\u00a0entomology, movement ecology, epidemiology, Earth Observation science,\u00a0sensor engineering, sociodemographic, and spatial statistics modeling.<\/p>\n\n\n\n<p>ERGO provides this data package for E4warnings partners. These datasets were published in <a href=\"https:\/\/zenodo.org\/communities\/e4warning\/records?q=&amp;f=resource_type%3Adataset&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest\" data-type=\"URL\" data-id=\"https:\/\/zenodo.org\/communities\/e4warning\/records?q=&amp;f=resource_type%3Adataset&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest\">Zenodo<\/a> and can be accessed <a href=\"https:\/\/www.spatialdatasite.com\/index.php\/e4warning-datasets\/\" data-type=\"URL\" data-id=\"https:\/\/www.spatialdatasite.com\/index.php\/e4warning-datasets\/\">here<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><a href=\"https:\/\/zenodo.org\/communities\/e4warning\/records?q=&amp;f=resource_type%3Adataset&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest\" data-type=\"URL\" data-id=\"https:\/\/zenodo.org\/communities\/e4warning\/records?q=&amp;f=resource_type%3Adataset&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest\">E4Warning ZENODO PACKAGE<\/a><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><a href=\"https:\/\/www.spatialdatasite.com\/index.php\/e4warning-datasets\/\" data-type=\"URL\" data-id=\"https:\/\/www.spatialdatasite.com\/index.php\/e4warning-datasets\/\">E4Warning DATA<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>E4Warning aims to improve our&nbsp;understanding of the interplay between humans, mosquitoes,&nbsp;reservoir species, and the environment for a better&nbsp;disease intelligence capable of anticipating and identifying&nbsp;mosquito-borne diseases&#8217; epidemic risks and outbreaks. To address the complexity of Mosquito-borne diseases (MBDs), the E4Warning consortium\u00a0is made up of an interdisciplinary and innovative team from\u00a012 organisations from Spain, Germany, Greece, Belgium, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6,9],"tags":[],"_links":{"self":[{"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/posts\/206"}],"collection":[{"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/comments?post=206"}],"version-history":[{"count":7,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/posts\/206\/revisions"}],"predecessor-version":[{"id":226,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/posts\/206\/revisions\/226"}],"wp:attachment":[{"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/media?parent=206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/categories?post=206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.spatialdatasite.com\/index.php\/wp-json\/wp\/v2\/tags?post=206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}