<?xml version="1.0"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "JATS-journalpublishing1.dtd" [
]>
<article xml:lang="en" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML"
  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.v10i3.3226</article-id>
      <article-id pub-id-type="publisher-id">10:3:194</article-id>
      <title-group>
        <article-title>Experiences of the Red River Métis with COVID-19 Policy Decisions: A
          partnership-based, whole-population linked administrative data study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Nickel</surname>
            <given-names initials="N">Nathan</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kloss</surname>
            <given-names initials="O">Olena</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ekuma</surname>
            <given-names initials="O">Okechukwu</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Taylor</surname>
            <given-names initials="C">Carole</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Driedger</surname>
            <given-names initials="M">Michelle</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Davies</surname>
            <given-names initials="G">Gwyneth</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saj</surname>
            <given-names initials="D">Danielle</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Munch</surname>
            <given-names initials="G">Garret</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chartrand</surname>
            <given-names initials="F">Frances</given-names>
          </name>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>University of Manitoba, Winnipeg, Canada</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Manitoba Centre for Health Policy, Winnipeg,
        Canada</institution></aff>
      <aff id="affil-3"><label>3</label><institution>Manitoba Métis Federation, Winnipeg, Canada</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>3226</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/3226">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3226</self-uri>
    </article-meta>
  </front>
  <body>

    <sec>
      <title>Objective</title>
      <p>Indigenous peoples, like Red River Métis, were greatly affected by COVID-19. Manitoba’s
        Indigenous COVID-19 vaccine policy initially focused exclusively on First Nations. Red River
        Métis, one of Canada’s recognized Indigenous peoples, were not prioritized. We examined the
        health outcomes of these policy decisions.</p>
    </sec>
    <sec>
      <title>Method</title>
      <p>This retrospective cohort study leveraged data available in the Manitoba Population
        Research Data Repository. We linked data from the Métis Population Database to
        whole-population COVID testing and vaccination data, and administrative data on health
        service use. Restricted mean survival time models tested whether vaccination uptake differed
        between Red River Métis and all other Manitobans (AOM), adjusting for sociodemographic
        characteristics and comorbidities. A Susceptible-Exposed-Infected-Recovered-Vaccinated model
        simulated how prioritizing Red River Métis for vaccination at the same time as First Nations
        may have altered the pandemic curve. We used estimates to model associated reductions in
        health service use for Red River Métis.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Cumulative prevalence of COVID-19 infection rates were similar between Métis and AOM until
        May 2021 when rates became higher among Métis. Between May and December 2021, rates of first
        vaccination were lower among Metis than AOM. Métis were more likely than AOM to be
        hospitalized due to Covid-19 between March and August 2021 and visit physicians for COVID
        related reasons from October 2020 to Feb 2021 and November 2021 to March 2022. Simulation
        analyses showed that prioritizing Red River Métis at the same time as First Nations would
        have reduced the peak infection rate by 54.6% reducing health service use.</p>
    </sec>
    <sec>
      <title>Conclusions</title>
      <p>Understanding the experiences of Red River Métis relative to AOM is critical to identifying
        public health strategies which close gaps in vaccine uptake and infections. Including Red
        River Métis with other Indigenous populations may have reduced adverse outcomes and health
        service use associated with COVID-19.</p>
    </sec>
  </body>
</article>