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  dtd-version="1.2" article-type="abstract">
  <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.v10i3.3231</article-id>
      <article-id pub-id-type="publisher-id">10:3:197</article-id>
      <title-group>
        <article-title>Long COVID, post-viral fatigue syndrome, and fatigue consultation records in
          children in England using administrative primary care data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Raveendran</surname>
            <given-names initials="V">Vishnuga</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Thorne</surname>
            <given-names initials="C">Claire</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jackson</surname>
            <given-names initials="C">Charlotte</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hardelid</surname>
            <given-names initials="P">Pia</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>UCL Great Ormond Street Institute of Child
        Health, London, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>UCL MRC Clinical Trials Unit, London, United
        Kingdom</institution></aff>
      <pub-date>
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3231</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3231">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3231</self-uri>
    </article-meta>
  </front>
  <body>
    <p>The impact of post-acute infection syndrome on healthcare use in children is uncertain. This
      study aims to quantify rates of consultations for long COVID, post-viral fatigue syndrome
      (PVFS), and fatigue in children in primary care in England, describe trends in recorded cases
      over time, and explore variations by sociodemographic characteristics.</p>
    <p>This retrospective, population-based dynamic cohort study used Clinical Practice Research
      Datalink Aurum data for children aged &lt;18 years in England, covering 01/01/2006 to
      07/06/2023 (from 01/03/2020 for the long COVID outcome). Three outcomes were examined: Long
      COVID, PVFS, and fatigue, listed in order of decreasing specificity. Consultation rates were
      calculated per 100,000 child-years for each outcome, stratified by calendar year and
      sociodemographic characteristics. Monthly consultation rates were calculated to explore
      seasonality. Multivariable negative binomial regression models were used to model consultation
      rates to assess time trends, adjusting for age, sex, region, IMD and time period, stratified
      by month.</p>
    <p>The cohort included 7,580,593 children, with 3,762,713 actively registered during the
      COVID-19 pandemic period (01/03/2020-07/06/2023). A total of 6,950 long COVID, 21,051 PVFS,
      and 267,402 fatigue consultations were recorded. Consultation rates were higher among older
      children, girls, and those living in least deprived areas. Consultation rates for long COVID
      increased from 0.22 per 100,000 child-years in 2020 to a peak of 140 per 100,00 child-years in
      2022, decreasing to 22 per 100,000 child-years in 2023. After adjusting for confounders, PVFS
      consultation rates peaked in March and were highest in 2012-2015 compared to 2006-2008,
      2009-2011, 2016-2019, and 2020-2023 time periods. Fatigue consultation rates showed an
      increase between 2006 and 2019, then a decline in 2020, followed by an increase between 2021
      and 2023.</p>
    <p>This study highlights overall increasing consultation rates across years for PVFS and fatigue
      among children in England, with significant sociodemographic and seasonal variations.
      Recording of long COVID in primary care in children is inconsistent. A sensitive approach to
      examining trends and risk factors is required to design targeted interventions for the
      paediatric population.</p>
  </body>
</article>