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Health literacy and disparities in COVID-19-related knowledge, attitudes, beliefs and behaviours in Australia.

Identifieur interne : 001B74 ( Main/Exploration ); précédent : 001B73; suivant : 001B75

Health literacy and disparities in COVID-19-related knowledge, attitudes, beliefs and behaviours in Australia.

Auteurs : Kirsten J. Mccaffery [Australie] ; Rachael H. Dodd [Australie] ; Erin Cvejic [Australie] ; Julie Ayrek [Australie] ; Carys Batcup [Australie] ; Jennifer Mj Isautier [Australie] ; Tessa Copp [Australie] ; Carissa Bonner [Australie] ; Kristen Pickles [Australie] ; Brooke Nickel [Australie] ; Thomas Dakin [Australie] ; Samuel Cornell [Australie] ; Michael S. Wolf [États-Unis]

Source :

RBID : pubmed:33294907

Descripteurs français

English descriptors

Abstract

OBJECTIVES

To explore the variation in understanding of, attitudes towards, and uptake of, health advice on coronavirus disease 2019 (COVID-19) during the 2020 pandemic stage 3 restrictions ('lockdown') by health literacy in the Australian population.

STUDY DESIGN

National cross-sectional community survey.

SETTING

Australian general public.

PARTICIPANTS

Adults aged over 18 years (N = 4362).

MAIN OUTCOME MEASURES

Knowledge, attitudes and behaviours related to COVID-19; health literacy and sociodemographic factors.

RESULTS

People with inadequate health literacy had poorer understanding of COVID-19 symptoms (49% vs 68%; p < 0.001), were less able to identify behaviours to prevent infection (59%% vs 72% p < 0.001), and experienced more difficulty finding information and understanding government messaging about COVID-19 than people with adequate health literacy. People with inadequate health literacy were less likely to rate social distancing as important (6.1 vs 6.5; p < 0.001) and reported more difficulty with remembering and accessing medicines since lockdown (3.6 vs 2.7; p < 0.001). People with lower health literacy were also more likely to endorse misinformed beliefs about COVID-19 and vaccinations (in general) than those with adequate health literacy. The same pattern of results was observed among people who primarily speak a language other than English at home.

CONCLUSION

Our findings show that there are important disparities in COVID-19-related knowledge, attitudes and behaviours according to people's health literacy and language. These have the potential to undermine efforts to reduce viral transmission and may lead to social inequalities in health outcomes in Australia. People with the greatest burden of chronic disease are most disadvantaged, and are also most likely to experience severe disease and die from COVID-19. Addressing the health literacy, language and cultural needs of the community in public health messaging about COVID-19 must now be a priority in Australia.


DOI: 10.17061/phrp30342012
PubMed: 33294907


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Australia (epidemiology)</term>
<term>COVID-19 (epidemiology)</term>
<term>COVID-19 (prevention & control)</term>
<term>COVID-19 (psychology)</term>
<term>Chronic Disease (epidemiology)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Health Behavior (MeSH)</term>
<term>Health Knowledge, Attitudes, Practice (MeSH)</term>
<term>Health Literacy (statistics & numerical data)</term>
<term>Healthcare Disparities (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Physical Distancing (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Surveys and Questionnaires (MeSH)</term>
<term>Vulnerable Populations (statistics & numerical data)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Australie (épidémiologie)</term>
<term>Comportement en matière de santé (MeSH)</term>
<term>Compétence informationnelle en santé (statistiques et données numériques)</term>
<term>Connaissances, attitudes et pratiques en santé (MeSH)</term>
<term>Disparités d'accès aux soins (statistiques et données numériques)</term>
<term>Enquêtes et questionnaires (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Maladie chronique (épidémiologie)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Populations vulnérables (statistiques et données numériques)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Australia</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>COVID-19</term>
<term>Chronic Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>COVID-19</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en">
<term>COVID-19</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Health Literacy</term>
<term>Healthcare Disparities</term>
<term>Vulnerable Populations</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr">
<term>Compétence informationnelle en santé</term>
<term>Disparités d'accès aux soins</term>
<term>Populations vulnérables</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Australie</term>
<term>Maladie chronique</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Health Behavior</term>
<term>Health Knowledge, Attitudes, Practice</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Physical Distancing</term>
<term>SARS-CoV-2</term>
<term>Surveys and Questionnaires</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Comportement en matière de santé</term>
<term>Connaissances, attitudes et pratiques en santé</term>
<term>Enquêtes et questionnaires</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Études transversales</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Australie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>
<b>OBJECTIVES</b>
</p>
<p>To explore the variation in understanding of, attitudes towards, and uptake of, health advice on coronavirus disease 2019 (COVID-19) during the 2020 pandemic stage 3 restrictions ('lockdown') by health literacy in the Australian population.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>STUDY DESIGN</b>
</p>
<p>National cross-sectional community survey.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>SETTING</b>
</p>
<p>Australian general public.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>PARTICIPANTS</b>
</p>
<p>Adults aged over 18 years (N = 4362).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>MAIN OUTCOME MEASURES</b>
</p>
<p>Knowledge, attitudes and behaviours related to COVID-19; health literacy and sociodemographic factors.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>People with inadequate health literacy had poorer understanding of COVID-19 symptoms (49% vs 68%; p < 0.001), were less able to identify behaviours to prevent infection (59%% vs 72% p < 0.001), and experienced more difficulty finding information and understanding government messaging about COVID-19 than people with adequate health literacy. People with inadequate health literacy were less likely to rate social distancing as important (6.1 vs 6.5; p < 0.001) and reported more difficulty with remembering and accessing medicines since lockdown (3.6 vs 2.7; p < 0.001). People with lower health literacy were also more likely to endorse misinformed beliefs about COVID-19 and vaccinations (in general) than those with adequate health literacy. The same pattern of results was observed among people who primarily speak a language other than English at home.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>Our findings show that there are important disparities in COVID-19-related knowledge, attitudes and behaviours according to people's health literacy and language. These have the potential to undermine efforts to reduce viral transmission and may lead to social inequalities in health outcomes in Australia. People with the greatest burden of chronic disease are most disadvantaged, and are also most likely to experience severe disease and die from COVID-19. Addressing the health literacy, language and cultural needs of the community in public health messaging about COVID-19 must now be a priority in Australia.</p>
</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">33294907</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Electronic">
<Journal>
<ISSN IssnType="Electronic">2204-2091</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>30</Volume>
<Issue>4</Issue>
<PubDate>
<Year>2020</Year>
<Month>Dec</Month>
<Day>09</Day>
</PubDate>
</JournalIssue>
<Title>Public health research & practice</Title>
<ISOAbbreviation>Public Health Res Pract</ISOAbbreviation>
</Journal>
<ArticleTitle>Health literacy and disparities in COVID-19-related knowledge, attitudes, beliefs and behaviours in Australia.</ArticleTitle>
<ELocationID EIdType="doi" ValidYN="Y">10.17061/phrp30342012</ELocationID>
<ELocationID EIdType="pii" ValidYN="Y">30342012</ELocationID>
<Abstract>
<AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">To explore the variation in understanding of, attitudes towards, and uptake of, health advice on coronavirus disease 2019 (COVID-19) during the 2020 pandemic stage 3 restrictions ('lockdown') by health literacy in the Australian population.</AbstractText>
<AbstractText Label="STUDY DESIGN" NlmCategory="METHODS">National cross-sectional community survey.</AbstractText>
<AbstractText Label="SETTING" NlmCategory="METHODS">Australian general public.</AbstractText>
<AbstractText Label="PARTICIPANTS" NlmCategory="METHODS">Adults aged over 18 years (N = 4362).</AbstractText>
<AbstractText Label="MAIN OUTCOME MEASURES" NlmCategory="METHODS">Knowledge, attitudes and behaviours related to COVID-19; health literacy and sociodemographic factors.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">People with inadequate health literacy had poorer understanding of COVID-19 symptoms (49% vs 68%; p < 0.001), were less able to identify behaviours to prevent infection (59%% vs 72% p < 0.001), and experienced more difficulty finding information and understanding government messaging about COVID-19 than people with adequate health literacy. People with inadequate health literacy were less likely to rate social distancing as important (6.1 vs 6.5; p < 0.001) and reported more difficulty with remembering and accessing medicines since lockdown (3.6 vs 2.7; p < 0.001). People with lower health literacy were also more likely to endorse misinformed beliefs about COVID-19 and vaccinations (in general) than those with adequate health literacy. The same pattern of results was observed among people who primarily speak a language other than English at home.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Our findings show that there are important disparities in COVID-19-related knowledge, attitudes and behaviours according to people's health literacy and language. These have the potential to undermine efforts to reduce viral transmission and may lead to social inequalities in health outcomes in Australia. People with the greatest burden of chronic disease are most disadvantaged, and are also most likely to experience severe disease and die from COVID-19. Addressing the health literacy, language and cultural needs of the community in public health messaging about COVID-19 must now be a priority in Australia.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>McCaffery</LastName>
<ForeName>Kirsten J</ForeName>
<Initials>KJ</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia; kirsten.mccaffery@sydney.edu.au.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dodd</LastName>
<ForeName>Rachael H</ForeName>
<Initials>RH</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Cvejic</LastName>
<ForeName>Erin</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ayrek</LastName>
<ForeName>Julie</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Batcup</LastName>
<ForeName>Carys</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Isautier</LastName>
<ForeName>Jennifer Mj</ForeName>
<Initials>JM</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Copp</LastName>
<ForeName>Tessa</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Bonner</LastName>
<ForeName>Carissa</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Pickles</LastName>
<ForeName>Kristen</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Nickel</LastName>
<ForeName>Brooke</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dakin</LastName>
<ForeName>Thomas</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Cornell</LastName>
<ForeName>Samuel</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wolf</LastName>
<ForeName>Michael S</ForeName>
<Initials>MS</Initials>
<AffiliationInfo>
<Affiliation>Center for Applied Health Research on Aging, Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, US.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>12</Month>
<Day>09</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Australia</Country>
<MedlineTA>Public Health Res Pract</MedlineTA>
<NlmUniqueID>101648133</NlmUniqueID>
<ISSNLinking>2204-2091</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001315" MajorTopicYN="N" Type="Geographic">Australia</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002908" MajorTopicYN="N">Chronic Disease</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015438" MajorTopicYN="N">Health Behavior</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007722" MajorTopicYN="Y">Health Knowledge, Attitudes, Practice</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D057220" MajorTopicYN="N">Health Literacy</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D054625" MajorTopicYN="N">Healthcare Disparities</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000085762" MajorTopicYN="N">Physical Distancing</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D035862" MajorTopicYN="N">Vulnerable Populations</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<CoiStatement>None declared.</CoiStatement>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>12</Month>
<Day>9</Day>
<Hour>6</Hour>
<Minute>17</Minute>
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<Day>10</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>12</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">33294907</ArticleId>
<ArticleId IdType="pii">30342012</ArticleId>
<ArticleId IdType="doi">10.17061/phrp30342012</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>États-Unis</li>
</country>
<region>
<li>Illinois</li>
<li>Nouvelle-Galles du Sud</li>
</region>
<settlement>
<li>Sydney</li>
</settlement>
<orgName>
<li>Université de Sydney</li>
</orgName>
</list>
<tree>
<country name="Australie">
<region name="Nouvelle-Galles du Sud">
<name sortKey="Mccaffery, Kirsten J" sort="Mccaffery, Kirsten J" uniqKey="Mccaffery K" first="Kirsten J" last="Mccaffery">Kirsten J. Mccaffery</name>
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<name sortKey="Ayrek, Julie" sort="Ayrek, Julie" uniqKey="Ayrek J" first="Julie" last="Ayrek">Julie Ayrek</name>
<name sortKey="Batcup, Carys" sort="Batcup, Carys" uniqKey="Batcup C" first="Carys" last="Batcup">Carys Batcup</name>
<name sortKey="Bonner, Carissa" sort="Bonner, Carissa" uniqKey="Bonner C" first="Carissa" last="Bonner">Carissa Bonner</name>
<name sortKey="Copp, Tessa" sort="Copp, Tessa" uniqKey="Copp T" first="Tessa" last="Copp">Tessa Copp</name>
<name sortKey="Cornell, Samuel" sort="Cornell, Samuel" uniqKey="Cornell S" first="Samuel" last="Cornell">Samuel Cornell</name>
<name sortKey="Cvejic, Erin" sort="Cvejic, Erin" uniqKey="Cvejic E" first="Erin" last="Cvejic">Erin Cvejic</name>
<name sortKey="Dakin, Thomas" sort="Dakin, Thomas" uniqKey="Dakin T" first="Thomas" last="Dakin">Thomas Dakin</name>
<name sortKey="Dodd, Rachael H" sort="Dodd, Rachael H" uniqKey="Dodd R" first="Rachael H" last="Dodd">Rachael H. Dodd</name>
<name sortKey="Isautier, Jennifer Mj" sort="Isautier, Jennifer Mj" uniqKey="Isautier J" first="Jennifer Mj" last="Isautier">Jennifer Mj Isautier</name>
<name sortKey="Nickel, Brooke" sort="Nickel, Brooke" uniqKey="Nickel B" first="Brooke" last="Nickel">Brooke Nickel</name>
<name sortKey="Pickles, Kristen" sort="Pickles, Kristen" uniqKey="Pickles K" first="Kristen" last="Pickles">Kristen Pickles</name>
</country>
<country name="États-Unis">
<region name="Illinois">
<name sortKey="Wolf, Michael S" sort="Wolf, Michael S" uniqKey="Wolf M" first="Michael S" last="Wolf">Michael S. Wolf</name>
</region>
</country>
</tree>
</affiliations>
</record>

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