{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T12:09:42Z","timestamp":1772107782897,"version":"3.50.1"},"reference-count":25,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Faculty of Medicine, University of Belgrade, and the Ministry of Science, Technological Development and Innovation of the Republic of Serbia","award":["451-03-137\/2025-03\/200110"],"award-info":[{"award-number":["451-03-137\/2025-03\/200110"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Health data are essential to guide effective public policies, especially in contexts of increasing complexity and the need for rapid responses. The Global Burden of Disease (GBD) study is central to burden of disease estimates, including in the European Union (EU). This study identified gaps in the data underlying morbidity estimates in the 2023 GBD study for 27 EU countries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The GBD2023 Sources Tool was used to identify morbidity data sources, which were analysed by country, year, age, and disease. Data coverage was defined as the inclusion of at least one source for all combinations of age, country, year, and disease.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Highest data coverage was observed in Sweden, Austria, and Germany, and lowest in Hungary, Romania, and Bulgaria. There was high coverage for infectious diseases, but considerable gaps for leading morbidity causes, including musculoskeletal (15.9%) and mental disorders (32.9%) and unintentional injuries (28.1%). Data coverage was highest for the 2000s.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study highlighted variations in EU morbidity data coverage in the GBD2023, suggesting potential differences in estimate reliability. Differences may stem from national health information systems and data-sharing barriers. To enhance estimate accuracy and benchmarking among European health systems, improving data collection and utilization is crucial.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/pubmed\/fdag014","type":"journal-article","created":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T11:24:52Z","timestamp":1772105092000},"source":"Crossref","is-referenced-by-count":0,"title":["Mapping morbidity data and identifying data gaps for EU countries in the Global Burden of Disease 2023 study"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3860-4777","authenticated-orcid":false,"given":"Rok","family":"Hrzic","sequence":"first","affiliation":[{"name":"Department of International Health, Care and Public Health Research Institute\u2014CAPHRI, Maastricht University , PO Box 616, 6200 MD, Maastricht ,","place":["The Netherlands"]},{"name":"WHO Collaborating Center for Public Health Leadership and Workforce Development , PO Box 616, 6200 MD, Maastricht ,","place":["The Netherlands"]}]},{"given":"Grant M A","family":"Wyper","sequence":"additional","affiliation":[{"name":"Clinical and Protecting Health Directorate, Public Health Scotland , 177 Bothwell Street, Glasgow, G2 7ER ,","place":["UK"]},{"name":"School of Health and Wellbeing, University of Glasgow , Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB,","place":["UK"]}]},{"given":"Enkeleint A","family":"Mechili","sequence":"additional","affiliation":[{"name":"Department of Healthcare, Faculty of Health, University of Vlora , Bulevardi Ismail Qemali street, PO Box 9401, Vlore,","place":["Albania"]}]},{"given":"Brigid","family":"Unim","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Italian National Institute of Health (ISS) , Via Giano della Bella 34, 00162 Rome ,","place":["Italy"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2113-9653","authenticated-orcid":false,"given":"Alberto","family":"Freitas","sequence":"additional","affiliation":[{"name":"RISE-Health, MEDCIDS, Faculty of Medicine, University of Porto , Alameda Prof. Hern\u00e2ni Monteiro, 4200-319, Porto ,","place":["Portugal"]}]},{"given":"Milena","family":"Santric Milicevic","sequence":"additional","affiliation":[{"name":"Laboratory for Strengthening the Capacity and Performance of the Health System and Workforce for Health Equity, Faculty of Medicine, University of Belgrade , Dr Subotica 15 Street, 11000 Belgrade ,","place":["Serbia"]}]},{"given":"Ismael","family":"Caballero","sequence":"additional","affiliation":[{"name":"Information Systems and Technologies Institute, University of Castilla-La Mancha , Moledores s\/n, 13071, Ciudad Real ,","place":["Spain"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4696-1002","authenticated-orcid":false,"given":"Jo\u00e3o 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