There is a newer version of this record available.

Software Open Access

justlab/COVID_19_admin_disparities: For publication

Daniel Carrión; Elena Colicino; Nicolo Foppa Pedretti; Kodi B. Arfer; Johnathan Rush; Nicholas DeFelice; Allan C. Just


DataCite XML Export

<?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.4628289</identifier>
  <creators>
    <creator>
      <creatorName>Daniel Carrión</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6284-1508</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Elena Colicino</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1875-8448</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Nicolo Foppa Pedretti</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1306-8170</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Kodi B. Arfer</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9945-857X</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Johnathan Rush</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6853-8494</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Nicholas DeFelice</creatorName>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
    <creator>
      <creatorName>Allan C. Just</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4312-5957</nameIdentifier>
      <affiliation>Icahn School of Medicine at Mount Sinai</affiliation>
    </creator>
  </creators>
  <titles>
    <title>justlab/COVID_19_admin_disparities: For publication</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>COVID-19</subject>
    <subject>social disparities</subject>
    <subject>R</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-22</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4628289</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/justlab/COVID_19_admin_disparities/tree/v3.0.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4628288</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/justlab</relatedIdentifier>
  </relatedIdentifiers>
  <version>v3.0.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/GPL-3.0">GNU General Public License v3.0 or later</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Analysis of NYC COVID disparities using publicly-available datasets&lt;/p&gt;</description>
    <description descriptionType="Other">This work was supported by NIH grants UL1TR001433, P30ES023515, and T32HD049311.</description>
  </descriptions>
</resource>
69
3
views
downloads
All versions This version
Views 6944
Downloads 32
Data volume 5.7 MB3.8 MB
Unique views 3928
Unique downloads 32

Share

Cite as