<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:type xml:lang="eng">Text</dc:type>
  <dc:type xml:lang="eng">journal article</dc:type>
  <dc:subject xml:lang="eng">Desease study</dc:subject>
  <dc:subject xml:lang="eng">forecasting</dc:subject>
  <dc:source xml:lang="deu">The Lancet</dc:source>
  <dc:format>application/pdf</dc:format>
  <dc:title xml:lang="eng">Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021</dc:title>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:identifier>doi:10.1016/S0140-6736(24)00685-8</dc:identifier>
  <dc:description xml:lang="eng">Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050.</dc:description>
  <dc:creator>GBD 2021 Forecasting Collaborators</dc:creator>
  <dc:language>eng</dc:language>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type xml:lang="deu">Text</dc:type>
  <dc:type xml:lang="deu">Wissenschaftlicher Artikel</dc:type>
  <dc:identifier>https://door.donau-uni.ac.at/o:5156</dc:identifier>
</oai_dc:dc>