{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:50:29Z","timestamp":1782989429306,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"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":[[2026,6,29]]},"abstract":"<jats:p>This study investigated how cumulative antimicrobial resistance time series from EARS-Net can be exploited to support anticipation of future resistance dynamics. A pooled forecasting framework was first applied to predict future resistance percentages across multiple time horizons. Exact forecasting provided only limited practical advantage for surveillance purposes, as most future changes were relatively small and larger increases were difficult to capture reliably. The research focus was therefore redirected toward prediction of events of substantial future resistance increase, and a corresponding pooled event-based methodology was developed. Overall, the findings suggest that EARS-Net time series may be more usefully applied for early warning of important resistance increases than for exact forecasting of future resistance levels.<\/jats:p>","DOI":"10.3233\/shti260945","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:03:55Z","timestamp":1782986635000},"source":"Crossref","is-referenced-by-count":0,"title":["Exact Forecasting and Event-Based Prediction in Annual EARS-Net Antimicrobial Resistance Series"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9570-972X","authenticated-orcid":false,"given":"Athanasia","family":"Sergounioti","sequence":"first","affiliation":[{"name":"School of Science and Technology, Hellenic Open University, 26335 Patras, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Feretzakis","sequence":"additional","affiliation":[{"name":"School of Science and Technology, Hellenic Open University, 26335 Patras, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aristidis","family":"Vrahatis","sequence":"additional","affiliation":[{"name":"Department of Informatics, Ionian University, 49100 Corfu, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dimitris","family":"Kalles","sequence":"additional","affiliation":[{"name":"School of Science and Technology, Hellenic Open University, 26335 Patras, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260945","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:03:55Z","timestamp":1782986635000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260945"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260945","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}