{"title": "AEDES - CirroLytix fighting dengue through big data", "logoImg": "bafkreic22tgfyc4zlfdti5vywmapvyse2dqxhneltwstw4pn66oq4uflnm", "website": "https://aedesproject.org", "bannerImg": "bafybeifdcz4jasn2ihgelrmnqs7wytbj6cmya3itaxgrdm6v3as7lkh4vq", "createdAt": 1670513901446, "userGithub": "Cirrolytix/aedes_dpg", "credentials": {}, "description": "AEDES aims to improve public health response against dengue by predicting dengue cases from climate and digital data and pinpointing possible hotspots from satellite data.\n\nWe propose an automated information portal that correlates dengue cases and deaths with real-time data from climate, google searches, and satellite maps, giving an advance indicator of when dengue will emerge and potential dengue hotspot locations. This portal is targeted towards public health and local government agencies to give them advanced notice of dengue outbreaks and help prioritize resources. ", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "Cirrolytix", "projectTwitter": "cirrolytix"}