<?xml version="1.0" encoding="UTF-8"?>
<resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.18453/rosdok_id00002804</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Kreft, Daniel</creatorName>
      <givenName>Daniel</givenName>
      <familyName>Kreft</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/114984910X</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0001-5153-0202</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Regional health inequalities in Germany</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2017</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">300 Social sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">550 Earth sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">610 Medical sciences Medicine</subject>
  </subjects>
  <dates>
    <date dateType="Created">2017</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00002804</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00002804-9</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">The major outcome of this thesis is the detection and identification of profound spatial inequalities. These inequalities differ by the level of spatial aggregation, the selected health indicator, the birth cohort, but only partly by sex. The inequalities are exposed by using established population health measures which depict disparities in an absolute (prevalence, life years with and without care need), relative (Health ratio, Odds ratio, Risk ratio), or theory-driven perspective (health scenarios).</description>
  </descriptions>
</resource>
