Dataset Open Access
Giacomo Falchetta; Ahmed T. Hammad; Soheil Shayegh
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <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> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Replication code and data for the the paper&nbsp;&quot;Planning universal accessibility to public healthcare in sub-Saharan Africa&quot;.&nbsp;</p> <p>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.&nbsp;Powerful (or cloud, e.g. Google Earth Engine, RStudio Cloud, or Google Collab) computing facilities are recommended for a successful replication.</p></description> </descriptions> </resource>
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