{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T09:50:14Z","timestamp":1718185814111},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T00:00:00Z","timestamp":1660694400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,17]]},"abstract":"<jats:p>In Germany, the current COVID-19 cases are managed and reported by the local health authorities. The workload of their employees during the pandemic is high, especially in periods of high infection numbers. In this work a decision support toolkit for local health authorities is introduced. A demonstrator web application was developed with the R Shiny framework and is publicly accessible online. It contains five separate tools based on statistical models for specific use cases and corresponding questions of COVID-19 cases and their contacts. The underlying statistical methods have been implemented in a new open-source R package. The toolkit has the potential to support local health authorities\u2019 employees in their daily work. A simulated-based validation of the statistical models and a usability evaluation of the demonstrator application in a user study will be carried out in the future.<\/jats:p>","DOI":"10.3233\/shti220799","type":"book-chapter","created":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:25:34Z","timestamp":1660764334000},"source":"Crossref","is-referenced-by-count":4,"title":["EsteR \u2013 A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities"],"prefix":"10.3233","author":[{"given":"Sonja","family":"J\u00e4ckle","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen \/ L\u00fcbeck, Germany"}]},{"given":"Rieke","family":"Alpers","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen \/ L\u00fcbeck, Germany"}]},{"given":"Lisa","family":"K\u00fchne","sequence":"additional","affiliation":[{"name":"Leibniz Institute for Preventive Research and Epidemiology BIPS, Bremen, Germany"}]},{"given":"Jakob","family":"Schumacher","sequence":"additional","affiliation":[{"name":"Local Health Authority Berlin-Reinickendorf, Berlin, Germany"}]},{"given":"Benjamin","family":"Geisler","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen \/ L\u00fcbeck, Germany"}]},{"given":"Max","family":"Westphal","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen \/ L\u00fcbeck, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2022 \u2013 Future Medicine: More Precise, More Integrative, More Sustainable!"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:25:35Z","timestamp":1660764335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220799"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,17]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220799","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,17]]}}}