<?xml version="1.0" encoding="UTF-8"?>
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<docDscr>
  <citation>
    <titlStmt>
      <titl>Cohort Event monitoring of COVID-19 vAcciNE Safety in France using patient-reported outCOmes</titl>
      <IDNo>FRESH-PEF73996-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="UNIVERSITE DE BORDEAUX" role="">Cécile DROZ-PERROTEAU</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Cohort Event monitoring of COVID-19 vAcciNE Safety in France using patient-reported outCOmes            </titl>
      <altTitl>
                    EVANESCO                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF73996-en            </IDNo>
      <IDNo agency="PEF">
                    73996                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF73996                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Caroline DUREAU-POURNIN                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="UNIVERSITE DE BORDEAUX">
        <ExtLink title="ROR" URI="https://ror.org/057qpr032" role="organisation id"/>
        <ExtLink title="SIREN" URI="130018351" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="European consortium coordinated by Utrecht University, Netherlands Participant Centres: Pharmacovigilance Centre LAREB, Netherlands Federal Agency for Medicines and Health Products, Belgium Luxembourg Institute of Health, Luxembourg University of Verona, Italy University of Bordeaux, France DSRU, England Paul Ehrlich Institute, Germany HALMED, Croatia" type="collaboration">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)                    
                                    </producer>
      <producer role="sponsor">
                                            UNIVERSITE DE BORDEAUX                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
      <fundAg>
                                            MINISTERE DU TRAVAIL, DE LA SANTE, DES SOLIDARITES ET DES FAMILLES                    
                                    </fundAg>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="" email="">
                    
                                    </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="">
                    COVID-19</keyword>
      <keyword vocab="" vocabURI="">
                    vaccines</keyword>
      <keyword vocab="" vocabURI="">
                    adverse drug reactions</keyword>
      <topcClas vocab="health theme">
                        Infectious disease medicine                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/fa2ceeab-3b2f-45e9-9243-e5a8005b98de"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D055552"/>
                                                </topcClas>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants: Use of care                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">To generate incidence rates of patient-reported Adverse Drug Reaction (ADR) of brand specific COVID-19 vaccination in France, in near real time.</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2021-01-01"/>
      <collDate event="end" date="2023-01-01"/>
      <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="age" clusion="I">Child (6 to 12 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D002648"/>
                                                    </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 level="age" clusion="I">Aged, 80 and over (80 years and more)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000369"/>
                                                    </universe>
      <universe clusion="I">To describe ADR incidence rates according to brand of vaccine and to specific populations such as, pregnant women, patients with severe co-morbidities (e.g., frail, vaccinees with auto-immune diseases), elderly, children, patients having recently received other vaccines; - To detect potential novel safety signals; - To identify possible risk factors for ADR.                    </universe>
      <dataKind>Participant-reported health data</dataKind>
    </sumDscr>
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName>MedDRA coding of adverse reactions</standardName>
        </standard>
      </standardsCompliance>
    </qualityStatement>
  </stdyInfo>
  <studyDevelopment>
    <developmentActivity type="primary evaluation">
      <description>Health event/morbidity
Health event/mortality
Others</description>
    </developmentActivity>
  </studyDevelopment>
  <method>
    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Through organizations (health services or institutions</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>schools</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>businesses</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>etc.)</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>[1000-10000[ individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Interview with the participant (including clinical)                                                            <concept vocab="CESSDA" vocabURI="Interview"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <notes subject="observational study method">
                        Cohort study                    </notes>
    <anlyInfo>
      <respRate>6,640 vaccinated individuals in France</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            To be defined                                                    </avlStatus>
    </setAvail>
  </dataAccs>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
