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<docDscr>
  <citation>
    <titlStmt>
      <titl>Working in an Epidemic Survey</titl>
      <IDNo>FRESH-PEF74003-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="CONFEDERATION GENERALE DU TRAVAIL (CGT)" role="">Louis ERB</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Working in an Epidemic Survey            </titl>
      <altTitl>
                    TrEpid                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF74003-en            </IDNo>
      <IDNo agency="PEF">
                    74003                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF74003                </IDNo>
    </titlStmt>
    <rspStmt>
      <othId affiliation="" type="">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            CONFEDERATION GENERALE DU TRAVAIL (CGT)                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="CONFEDERATION GENERALE DU TRAVAIL (CGT)" email="louis-alexandre.erb@univ-paris-est.fr">
                    Louis;ERB
                                            <ExtLink title="ROR" URI="https://ror.org/02z89wd67" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="775678451" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-16"/>
      <distDate date="2026-06-16"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    Anxiety</keyword>
      <keyword vocab="" vocabURI="">
                    cognition</keyword>
      <keyword vocab="" vocabURI="">
                    Covid-19</keyword>
      <keyword vocab="" vocabURI="">
                    working conditions</keyword>
      <keyword vocab="" vocabURI="">
                    employment conditions</keyword>
      <keyword vocab="" vocabURI="">
                    contamination</keyword>
      <topcClas vocab="health theme">
                        Public, environmental and occupational health                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/b533acc2-aff1-4c65-80ca-5d5bee865ba9"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D004778"/>
                                                </topcClas>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants: Employment                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">The French General Union of Engineers, Executives and Technicians of the General Confederation of Labour (UGICT-CGT) worked with union statisticians in the statistical departments of the Ministry of Labour (Dares) and the Ministry of Health (Drees) to conduct an online survey on the professional status of employees, the “Working in an Epidemic Survey” (TrEpid). The questionnaire was designed by union activists who were statisticians working in the Ministry of Social Affairs, experts in the areas covered. Insofar as possible, the questions were taken or adapted from surveys with “quality statistics and general interest” accreditation, awarded by the French National Committee on Statistical Data (Cnis). The individuals were asked about their professional and personal status, their main status during the lockdown (continued working on site, remote working, or loss of work, etc.). Additional questions related to the working conditions within the establishment. The sample collected was likely to cause selection biases in terms of respondents, for whom the average characteristics did not correspond to the overall population, for example, such as self-employed workers. Statistical methods were used to correct the sample structure (by type, socioprofessional category, type of employer and unionisation, etc.) to ensure that it corresponded to the characteristics of the French population by applying a margin calibration method. The evidence presented during this study also originates from data collected by the survey scheme, in response to open-ended or semi-open-ended questions (based on “Other: please specify...”).</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2021-01-01"/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">General population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="sex" clusion="I">Other                                                    </universe>
      <universe level="age" clusion="I">Young Adult (19 to 24 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D055815"/>
                                                    </universe>
      <universe level="age" clusion="I">Adult (25 to 44 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000328"/>
                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <universe clusion="I">The online questionnaire was distributed by the unions to numerous companies and public services, and also via the social networks and the various national media platforms. The survey collected 24,000 responses from highly diverse professional settings, and did not claim to be exhaustive or completely representative.                    </universe>
      <dataKind>Participant-reported health data</dataKind>
    </sumDscr>
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName>Insee;Dares</standardName>
        </standard>
      </standardsCompliance>
    </qualityStatement>
  </stdyInfo>
  <studyDevelopment>
    <developmentActivity type="primary evaluation">
      <description>Quality of life/health perception</description>
    </developmentActivity>
  </studyDevelopment>
  <method>
    <dataColl>
      <timeMeth>One-time cross-sectional study</timeMeth>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <targetSampleSize>
        <sampleSizeFormula>&gt;= 20000 individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <anlyInfo>
      <respRate>24094</respRate>
    </anlyInfo>
    <stdyClas>Completed study</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Restricted access                                                    </avlStatus>
    </setAvail>
    <useStmt>
      <conditions>Supply agreement Deadline of 2 to 4 weeks after signing the individual commitment form</conditions>
    </useStmt>
    <notes>Databases in .csv or .sas7bdat format</notes>
  </dataAccs>
  <othrStdyMat>
    <relMat>Free access</relMat>
  </othrStdyMat>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
