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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v11i5.3496</article-id>
<article-id pub-id-type="publisher-id">11:5:3496</article-id>
<article-id pub-id-type="pii">S2399490821034960</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Long-term, phenome-wide consequences of COVID-19 in England: whole-population linked EHR analysis by vaccination status</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Al Arab</surname><given-names initials="M">Marwa</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Allara</surname><given-names initials="E">Elias</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Wood</surname><given-names initials="A">Angela</given-names></name><xref ref-type="aff" rid="affil-2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Walker</surname><given-names initials="V">Venexia</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Denaxas</surname><given-names initials="S">Spiros</given-names></name><xref ref-type="aff" rid="affil-3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>AC Sterne</surname><given-names initials="J">Jonathan</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Denholm</surname><given-names initials="R">Rachel</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Population Health Science, University of Bristol, Bristol, United Kingdom</institution></aff>
<aff id="affil-2"><label>2</label><institution>British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom</institution></aff>
<aff id="affil-3"><label>3</label><institution>University College London, Clinical Epidemiology, London, United Kingdom</institution></aff>
</contrib-group>
<pub-date date-type="pub" publication-format="electronic"><day></day><month></month><year></year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year></year></pub-date>
<volume>11</volume>
<issue>5</issue>
<elocation-id>3496</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/3496">This article is available from the IJPDS website at: https://ijpds.org/article/view/3496</self-uri>
<abstract>
<sec>
<title>Background</title>
<p>COVID-19 is associated with multi-organ morbidity, but large-scale evaluations of long-term outcomes by vaccination status and disease severity remain limited.</p>
</sec>
<sec>
<title>Objective</title>
<p>Investigate associations between COVID-19 and a wide range of health outcomes, stratified by vaccination status and disease severity. Methods: We analysed linked electronic health records for 49 million adults in England using the NHS Secure Data Environment. We defined three cohorts: pre-vaccination (Jan 2020–Jun 2021; 443 outcomes; N ≈ 49 million), vaccinated (304 outcomes; Jun–Dec 2021; N ≈ 37 million), and electively unvaccinated (99 outcomes; Jun–Dec 2021; N ≈ 11 million). For each cohort, we estimated adjusted hazard ratios (aHRs) comparing incidence after versus before or without COVID-19 diagnosis, overall and by disease severity.</p>
</sec>
<sec>
<title>Results</title>
<p>COVID-19 was associated with increased incidence of 90.3%, 86.5%, and 86.9% of outcomes in the pre-vaccination, vaccinated, and unvaccinated cohorts, respectively. Hazards peaked in the first four weeks, then declined but remained elevated for up to two years. aHRs were consistently greater after hospitalised than non-hospitalised COVID-19. Average aHRs were 57% higher in unvaccinated than vaccinated individuals. In the pre-vaccination cohort, the strongest associations were for hepatic failure, empyema and pneumothorax, and pulmonary embolism, whereas the weakest associations were for diseases of the teeth and supporting structures and pregnancy-related outcomes.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>COVID-19 is linked to elevated long-term incidence across a broad range of conditions, particularly following hospitalisation. These effects are markedly reduced among vaccinated individuals. Findings support continued surveillance and underscore the importance of vaccination in reducing post-acute disease burden.</p>
</sec>
</abstract>
</article-meta>
</front>
</article>