{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T04:02:38Z","timestamp":1790827358804,"version":"4.1.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"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":[[2024,8,22]]},"abstract":"<jats:p>Biomedical data analysis and visualization often demand data experts for each unique health event. There is a clear lack of automatic tools for semantic visualization of the spread of health risks through biomedical data. Illnesses such as coronavirus disease (COVID-19) and Monkeypox spread rampantly around the world before governments could make decisions based on the analysis of such data. We propose the design of a knowledge graph (KG) for spatio-temporal tracking of public health event propagation. To achieve this, we propose the specialization of the Core Propagation Phenomenon Ontology (PropaPhen) into a health-related propagation phenomenon domain ontology. Data from the UMLS and OpenStreetMaps are suggested for instantiating the proposed knowledge graph. Finally, the results of a use case on COVID-19 data from the World Health Organization are analyzed to evaluate the possibilities of our approach.<\/jats:p>","DOI":"10.3233\/shti240811","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:50:37Z","timestamp":1724410237000},"source":"Crossref","is-referenced-by-count":2,"title":["Harnessing the Core Propagation Phenomenon Ontology to Develop a Knowledge Graph for Tracking Health-Related Phenomena"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4594-5492","authenticated-orcid":false,"given":"Gabriel H.A.","family":"Medeiros","sequence":"first","affiliation":[{"name":"Univ Rouen Normandie, INSA Rouen Normandie, Normandie Univ, LITIS UR 4108, FR-76000 Rouen, France, https:\/\/litislab.fr\/page\/contac"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7668-2819","authenticated-orcid":false,"given":"Lina F.","family":"Soualmia","sequence":"additional","affiliation":[{"name":"Univ Rouen Normandie, INSA Rouen Normandie, Normandie Univ, LITIS UR 4108, FR-76000 Rouen, France, https:\/\/litislab.fr\/page\/contac"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5189-9154","authenticated-orcid":false,"given":"Cecilia","family":"Zanni-Merk","sequence":"additional","affiliation":[{"name":"Univ Rouen Normandie, INSA Rouen Normandie, Normandie Univ, LITIS UR 4108, FR-76000 Rouen, France, https:\/\/litislab.fr\/page\/contac"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:50:38Z","timestamp":1724410238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240811"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240811","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}