2020年5月15日 数据集 开放存取

塔马卡尔顿; Cornetet，朱尔斯; 彼得·休伯斯; 孟凯莉C.; 乔纳森·普罗克特

数据城 XML导出

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  <identifier identifierType="DOI">10.5281 / zenodo.3830096</identifier>
  <creators>
    <creator>
      <creatorName>Carleton, Tamma</creatorName>
      <givenName>Tamma</givenName>
      <familyName>Carleton</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5518-0550</nameIdentifier>
      <affiliation>芝加哥大学</affiliation>
    </creator>
    <creator>
      <creatorName>Cornetet, Jules</creatorName>
      <givenName>Jules</givenName>
      <familyName>Cornetet</familyName>
      <affiliation>巴黎高等师范学院</affiliation>
    </creator>
    <creator>
      <creatorName>Huybers, Peter</creatorName>
      <givenName>Peter</givenName>
      <familyName>Huybers</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3734-8145</nameIdentifier>
      <affiliation>Harvard University</affiliation>
    </creator>
    <creator>
      <creatorName>Meng, Kyle C.</creatorName>
      <givenName>Kyle C.</givenName>
      <familyName>Meng</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5130-9583</nameIdentifier>
      <affiliation>加州大学圣塔芭芭拉分校</affiliation>
    </creator>
    <creator>
      <creatorName>Proctor, Jonathan</creatorName>
      <givenName>Jonathan</givenName>
      <familyName>Proctor</familyName>
      <affiliation>Harvard University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Carleton，Cornetet，Huybers，Meng的数据和代码发布&amp;Proctor（预印本，2020年），"紫外线会降低COVID-19的增长率：全球因果关系估计和季节性影响"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>COVID-19</subject>
    <subject>climate</subject>
    <subject>紫外线辐射</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-05-15</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">//americinnmankato.com/record/3830096</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsCitedBy" resourceTypeGeneral="Text">http://ssrn.com/abstract=3588601</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Text">10.2139/ssrn.3588601</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281 / zenodo.3829621</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">//americinnmankato.com/communities/covid-19</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">//americinnmankato.com/communities/zenodo</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.1</version>
  <rightsList>
    <rights rightsURI="//creativecommons.org/licenses/by/4.0/legalcode">知识共享署名4.0国际</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;此上载包含所有复制材料&amp;quot;紫外线会降低COVID-19的增长率：全球因果关系估计和季节性影响&amp;quot; (preprint).&amp;nbsp;Please note that this manuscript is under review and the data and code are likely to change (updated versions will be uploaded to Zenodo as soon as they are available).&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Authors:&lt;/strong&gt; Tamma Carleton, Jules Cornetet, Peter Huybers, Kyle C. Meng, Jonathan Proctor.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Code is located within CCHMP_covid_climate_code_release.zip&lt;/strong&gt;, and is written in R, Stata, and Matlab. The working directory should be set to the repository folder at the top of each script.&lt;/p&gt;

&lt;p&gt;Please find the code needed to replicate the main findings of the paper described below:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Plots of data: R and Stata scripts to make figures 1B, S1, S2, S3, S4 and S13 can be found within &amp;ldquo;code/analysis/data_plots/&amp;rdquo;.&lt;/li&gt;
	&lt;li&gt;Regression analysis: Stata scripts to run the distributed lag regressions and plot the results in figures 2, S6, S7, S8 and S9 can be found within &amp;ldquo;code/analysis/regressions/&amp;rdquo;&lt;/li&gt;
	&lt;li&gt;Seasonal simulations: R and Stata scripts to replicate the seasonal simulation shown in figures 3, S5 and S10 can be found within &amp;ldquo;code/analysis/seasonal_sim/&amp;rdquo;.&lt;/li&gt;
	&lt;li&gt;SEIR simulations: Matlab scripts to replicate the SEIR simulations shown in figures S11 and S12 can be found within &amp;ldquo;code/analysis/SEIR/&amp;rdquo;.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Data are located within CCHMP_covid_climate_data_release.zip.&lt;/strong&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Carleton et al., (preprint, 2020). 紫外线会降低COVID-19的增长率：全球因果关系估计和季节性影响. http://ssrn.com/abstract=3588601"]}</description>
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