{"id":32157,"date":"2020-04-30T11:50:22","date_gmt":"2020-04-30T09:50:22","guid":{"rendered":"https:\/\/www.kwrwater.nl\/?p=32157"},"modified":"2020-04-30T15:58:08","modified_gmt":"2020-04-30T13:58:08","slug":"kwr-won-euvsvirus-hackathon-with-sewer-surveillance-tool","status":"publish","type":"post","link":"https:\/\/www.kwrwater.nl\/en\/actueel\/kwr-won-euvsvirus-hackathon-with-sewer-surveillance-tool\/","title":{"rendered":"KWR won #EUvsVirus Hackathon with sewer surveillance tool"},"content":{"rendered":"
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During the #EUvsVirus Hackathon KWR-researchers teamed up with colleagues from Eurecat – Technology Centre of Catalonia (Spain), University of Thessaly and National Technical University of Athens (Greece), and University of Exeter (UK). In three \u2013 very hectic – days the team created a solution for forecasting, tracing and monitoring pandemic outbreaks in real-time: Sewers4COVID<\/a>.<\/p>\n<\/div>\n

\u201c#EUvsVirus\u201d, hosted by the European Innovation Council, is a pan-European hackathon to connect civil society, innovators, partners and investors across Europe in order to develop innovative solutions for coronavirus-related challenges. Nearly 21,000 people from more than 50 countries participated in the event during 24-27 April 2020.’<\/p>\n

\"#EUvsVirus<\/a><\/p>\n

Sewers4COVID tool<\/h2>\n

KWR have been tracing and monitoring the presence of the virus in sewers, offering an advance warning of an outbreak without testing individuals. The Sewers4COVID<\/a> team demonstrated a prototype that utilises sewer surveillance and machine learning techniques to forecast, trace and monitor pandemic outbreaks in real-time. Socio-economic conditions are also taken into account to identify vulnerable groups that are at high risk. The Sewers4COVID Decision Support System can quickly and cost-efficiently detect the hotspots at the national scale. The solution will highlight the locations and the spread of the contagion, enabling decision-makers to take critical measures and deploy resources in advance to protect communities from pandemics.<\/p>\n

The hackathon winners will be invited to a three day Matchathon event (22-25 May 2020) to find investors and funding that will take the prototype into a fully functional Decision Support System.<\/p>\n

Sewers4COVID team<\/h2>\n
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  • University of Exeter (UK):<\/strong> Albert Chen, Mehdi Khoury, Gareth Lewis<\/li>\n
  • EURECAT (Spain):<\/strong> Gabriel Anzaldi Varas, Xavier Domingoin, Lluis Echeverria, Marc Ribalta Gen\u00e9<\/li>\n
  • University of Thessaly (Greece):<\/strong> Chrysi Laspidou, Dimitris Kofinas, Alexandra Ioannou<\/li>\n
  • National Technical University of Athens:<\/strong> Maria Papadopoulou<\/li>\n
  • KWR (Netherlands):<\/strong> Dragan Savic, Lydia Vamvakeridou-Lyroudia, Frederic B\u00e9en, Gertjan Medema<\/li>\n<\/ul>\n
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    \n\t\t\t\t\t\t\t\t\"I6RC6OrlT40\"<\/p>\n
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