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Dataset Open Access

Planning universal accessibility to public healthcare in sub-Saharan Africa

Giacomo Falchetta; Ahmed T. Hammad; Soheil Shayegh


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  <identifier identifierType="DOI">10.5281/zenodo.3757084</identifier>
  <creators>
    <creator>
      <creatorName>Giacomo Falchetta</creatorName>
      <affiliation>FEEM - Fondazione Eni ENrico Mattei</affiliation>
    </creator>
    <creator>
      <creatorName>Ahmed T. Hammad</creatorName>
      <affiliation>Università Cattolica di Milano</affiliation>
    </creator>
    <creator>
      <creatorName>Soheil Shayegh</creatorName>
      <affiliation>RFF-CMCC EIEE</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Planning universal accessibility to  public healthcare in sub-Saharan Africa</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>healthcare</subject>
    <subject>accessibility</subject>
    <subject>inequality</subject>
    <subject>sub-saharan africa</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-04-19</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3757084</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3757083</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Replication code and data for the the paper&amp;nbsp;&amp;quot;Planning universal accessibility to public healthcare in sub-Saharan Africa&amp;quot;.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The tarball contains computer code (in R and javascript) and input data to replicate or update the analysis and the figures, and the result data of baseline and sensitivity analysis model runs.&amp;nbsp;Powerful (or cloud, e.g. Google Earth Engine, RStudio Cloud, or Google Collab) computing facilities are recommended for a successful replication.&lt;/p&gt;</description>
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