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          <dc:title>&lt;p&gt;Heatmap showing the correlation between the study variables.&lt;/p&gt;</dc:title>
          <dc:creator>Javier I. Borráz-León (8696472)</dc:creator>
          <dc:creator>Markus J. Rantala (319607)</dc:creator>
          <dc:creator>Indrikis Krams (196403)</dc:creator>
          <dc:creator>Dario Maestripieri (353832)</dc:creator>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>strongest independent predictors</dc:subject>
          <dc:subject>publicly available sources</dc:subject>
          <dc:subject>igg ), would</dc:subject>
          <dc:subject>gdp per capita</dc:subject>
          <dc:subject>g ., gdp</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
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          <dc:subject>toxoplasma gondii &lt;/</dc:subject>
          <dc:subject>cats per 10</dc:subject>
          <dc:subject>across 93 countries</dc:subject>
          <dc:subject>broader population exposure</dc:subject>
          <dc:subject>determining national well</dc:subject>
          <dc:subject>igm seroprevalence remained</dc:subject>
          <dc:subject>higher socioeconomic indicators</dc:subject>
          <dc:subject>gondii &lt;/</dc:subject>
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          <dc:subject>ecological factors</dc:subject>
          <dc:subject>national level</dc:subject>
          <dc:subject>underlying mechanisms</dc:subject>
          <dc:subject>socioeconomic variables</dc:subject>
          <dc:subject>socioeconomic factors</dc:subject>
          <dc:subject>pregnant women</dc:subject>
          <dc:subject>national happiness</dc:subject>
          <dc:subject>interdisciplinary approaches</dc:subject>
          <dc:subject>income level</dc:subject>
          <dc:subject>income classification</dc:subject>
          <dc:subject>include longitudinal</dc:subject>
          <dc:subject>igm seroprevalence</dc:subject>
          <dc:subject>future studies</dc:subject>
          <dc:subject>cat density</dc:subject>
          <dc:subject>000 inhabitants</dc:subject>
          <dc:description>&lt;p&gt;Darker shades represent stronger correlations, with purple indicating positive and red indicating negative relationships. &lt;i&gt;Note&lt;/i&gt;: Health Exp = Health expenditure; GDP = Gross Domestic Product per capita; IgM = Immunoglobulin M; IgG = Immunoglobulin G.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T17:22:19Z</dc:date>
          <dc:type>Image</dc:type>
          <dc:type>Figure</dc:type>
          <dc:identifier>10.1371/journal.pone.0357911.g002</dc:identifier>
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