{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:32:12Z","timestamp":1763058732268},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643682648"},{"type":"electronic","value":"9781643682655"}],"license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"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":[[2022,6,6]]},"abstract":"<jats:p>Early anticipation of COVID-19 infection chains within hospitals is of high importance for initiating suitable measures at the right time. Infection control specialists can be supported by application systems able of consolidating and analyzing heterogeneous, up-to-now non-standardized and distributed data needed for tracking COVID-19 infections and infected patients\u2019 hospital contacts. We developed a system, Co-Surv-SmICS, assisting in infection chain detection, in an open and standards-based way to ensure reusability of the system across institutions. Data is modelled in alignment to various national modelling initiatives and consensus data definitions, queried in a standardized way by the use of OpenEHR as information modelling standard and its associated model-based query language, analyzed and interactively visualized in the application. A first version has been published and will be enhanced with further features and evaluated in detail with regard to its potentials to support specialists during their work against SARS-CoV-2.<\/jats:p>","DOI":"10.3233\/shti220168","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:24Z","timestamp":1654594404000},"source":"Crossref","is-referenced-by-count":2,"title":["Tracing COVID-19 Infection Chains Within Healthcare Institutions \u2013 Another Brick in the Wall Against SARS-CoV-2"],"prefix":"10.3233","author":[{"given":"Antje","family":"Wulff","sequence":"first","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]},{"name":"HiGHmed Infection Control Study Group 1 List of study group can be found at the end of the article.","sequence":"additional","affiliation":[]},{"given":"Pascal","family":"Biermann","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]},{"given":"Tatiana","family":"von Landesberger","sequence":"additional","affiliation":[{"name":"Technical University Darmstadt, Darmstadt, Germany"}]},{"given":"Tom","family":"Baumgartl","sequence":"additional","affiliation":[{"name":"Technical University Darmstadt, Darmstadt, Germany"}]},{"given":"Christoph","family":"Schmidt","sequence":"additional","affiliation":[{"name":"University of Rostock, Rostock"}]},{"given":"Alan Yussef","family":"Alhaji","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"},{"name":"University of Rostock, Rostock"}]},{"given":"Kristina","family":"Schick","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]},{"given":"Paul","family":"Waldstein","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"},{"name":"Institute of Medical Informatics, University Medical Center G\u00f6ttingen (UMG), Georg-August University G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"given":"Yufei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University Medical Center G\u00f6ttingen (UMG), Georg-August University G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"given":"Dagmar","family":"Krefting","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, University Medical Center G\u00f6ttingen (UMG), Georg-August University G\u00f6ttingen, G\u00f6ttingen, Germany"}]},{"given":"Simone","family":"Scheithauer","sequence":"additional","affiliation":[{"name":"Institute of Infection Control and Infectious Diseases, University Medical Center G\u00f6ttingen (UMG), Georg-August University G\u00f6ttingen, Germany"}]},{"given":"Michael","family":"Marschollek","sequence":"additional","affiliation":[{"name":"Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:25Z","timestamp":1654594405000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220168"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"ISBN":["9781643682648","9781643682655"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220168","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}