Knowledge, attitudes and preparedness to respond to COVID-19 among the border population of northern Thailand in the early period of the pandemic: a cross-sectional study.
Identifieur interne : 000462 ( Main/Exploration ); précédent : 000461; suivant : 000463Knowledge, attitudes and preparedness to respond to COVID-19 among the border population of northern Thailand in the early period of the pandemic: a cross-sectional study.
Auteurs : Peeradone Srichan [Thaïlande] ; Tawatchai Apidechkul [Thaïlande] ; Ratipark Tamornpark [Thaïlande] ; Fartima Yeemard [Thaïlande] ; Siriyaporn Khunthason [Thaïlande] ; Siwarak Kitchanapaiboon [Thaïlande] ; Pilasinee Wongnuch [Thaïlande] ; Asamaphon Wongphaet [Thaïlande] ; Panupong Upala [Thaïlande]Source :
- WHO South-East Asia journal of public health [ 2304-5272 ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Connaissances, attitudes et pratiques en santé (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (prévention et contrôle), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Thaïlande (épidémiologie), Émigration et immigration (MeSH), Études transversales (MeSH).
- MESH :
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, Thaïlande.
- Adolescent, Adulte, Adulte d'âge moyen, Connaissances, attitudes et pratiques en santé, Femelle, Humains, Jeune adulte, Mâle, Sujet âgé, Sujet âgé de 80 ans ou plus, Émigration et immigration, Études transversales.
- Wicri :
- geographic : Thaïlande.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Cross-Sectional Studies (MeSH), Emigration and Immigration (MeSH), Female (MeSH), Health Knowledge, Attitudes, Practice (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Thailand (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Thailand.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Emigration and Immigration, Female, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged, Young Adult.
Abstract
Background
Chiang Rai province in northern Thailand is a site of many people travelling among nearby countries and areas, including Yunnan province, China. In February 2020, there was concern about the population's vulnerability to coronavirus disease 2019 (COVID-19).
Methods
A cross-sectional study was conducted in 15 villages less than 10 km from a border. A questionnaire was developed and tested for reliability and validity; 48 questions covered participant characteristics, plus knowledge about, attitudes to and preparedness for COVID-19. Chi-squared tests were used to detect any significant association between variables. Unadjusted and adjusted odds ratios with 95% confidence intervals (CIs) were calculated to assess the possible association of various factors with participants' level of reported knowledge, attitudes and preparedness.
Results
A total of 520 participants were recruited of whom 320 (61.5%) were women. The age range was 18-90 years; the average age was 45.2 years. Variables with an association with good to moderate preparedness for COVID-19 prevention and control that remained after adjustment were: women were better prepared than men (adjusted odds ratio (OR
Conclusion
Effective communication of essential, accurate and up-to-date information regarding COVID-19 prevention and control is essential in this population - especially for men, older age groups and those lacking formal education.
DOI: 10.4103/2224-3151.294305
PubMed: 32978344
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Wongphaet, Asamaphon" sort="Wongphaet, Asamaphon" uniqKey="Wongphaet A" first="Asamaphon" last="Wongphaet">Asamaphon Wongphaet</name>
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<author><name sortKey="Khunthason, Siriyaporn" sort="Khunthason, Siriyaporn" uniqKey="Khunthason S" first="Siriyaporn" last="Khunthason">Siriyaporn Khunthason</name>
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<author><name sortKey="Kitchanapaiboon, Siwarak" sort="Kitchanapaiboon, Siwarak" uniqKey="Kitchanapaiboon S" first="Siwarak" last="Kitchanapaiboon">Siwarak Kitchanapaiboon</name>
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<author><name sortKey="Upala, Panupong" sort="Upala, Panupong" uniqKey="Upala P" first="Panupong" last="Upala">Panupong Upala</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Emigration and Immigration (MeSH)</term>
<term>Female (MeSH)</term>
<term>Health Knowledge, Attitudes, Practice (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Thailand (epidemiology)</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>Connaissances, attitudes et pratiques en santé (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (prévention et contrôle)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (prévention et contrôle)</term>
<term>Pneumopathie virale (prévention et contrôle)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Thaïlande (épidémiologie)</term>
<term>Émigration et immigration (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Thailand</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Thaïlande</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>Emigration and Immigration</term>
<term>Female</term>
<term>Health Knowledge, Attitudes, Practice</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</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>Connaissances, attitudes et pratiques en santé</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Émigration et immigration</term>
<term>Études transversales</term>
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<front><div type="abstract" xml:lang="en"><p><b>Background</b>
</p>
<p>Chiang Rai province in northern Thailand is a site of many people travelling among nearby countries and areas, including Yunnan province, China. In February 2020, there was concern about the population's vulnerability to coronavirus disease 2019 (COVID-19).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>Methods</b>
</p>
<p>A cross-sectional study was conducted in 15 villages less than 10 km from a border. A questionnaire was developed and tested for reliability and validity; 48 questions covered participant characteristics, plus knowledge about, attitudes to and preparedness for COVID-19. Chi-squared tests were used to detect any significant association between variables. Unadjusted and adjusted odds ratios with 95% confidence intervals (CIs) were calculated to assess the possible association of various factors with participants' level of reported knowledge, attitudes and preparedness.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>Results</b>
</p>
<p>A total of 520 participants were recruited of whom 320 (61.5%) were women. The age range was 18-90 years; the average age was 45.2 years. Variables with an association with good to moderate preparedness for COVID-19 prevention and control that remained after adjustment were: women were better prepared than men (adjusted odds ratio (OR</p>
</div>
<div type="abstract" xml:lang="en"><p><b>Conclusion</b>
</p>
<p>Effective communication of essential, accurate and up-to-date information regarding COVID-19 prevention and control is essential in this population - especially for men, older age groups and those lacking formal education.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>30</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>10</Month>
<Day>01</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">2304-5272</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>9</Volume>
<Issue>2</Issue>
<PubDate><Year>2020</Year>
<Month>09</Month>
</PubDate>
</JournalIssue>
<Title>WHO South-East Asia journal of public health</Title>
<ISOAbbreviation>WHO South East Asia J Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Knowledge, attitudes and preparedness to respond to COVID-19 among the border population of northern Thailand in the early period of the pandemic: a cross-sectional study.</ArticleTitle>
<Pagination><MedlinePgn>118-125</MedlinePgn>
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<Abstract><AbstractText Label="Background">Chiang Rai province in northern Thailand is a site of many people travelling among nearby countries and areas, including Yunnan province, China. In February 2020, there was concern about the population's vulnerability to coronavirus disease 2019 (COVID-19).</AbstractText>
<AbstractText Label="Methods">A cross-sectional study was conducted in 15 villages less than 10 km from a border. A questionnaire was developed and tested for reliability and validity; 48 questions covered participant characteristics, plus knowledge about, attitudes to and preparedness for COVID-19. Chi-squared tests were used to detect any significant association between variables. Unadjusted and adjusted odds ratios with 95% confidence intervals (CIs) were calculated to assess the possible association of various factors with participants' level of reported knowledge, attitudes and preparedness.</AbstractText>
<AbstractText Label="Results">A total of 520 participants were recruited of whom 320 (61.5%) were women. The age range was 18-90 years; the average age was 45.2 years. Variables with an association with good to moderate preparedness for COVID-19 prevention and control that remained after adjustment were: women were better prepared than men (adjusted odds ratio (OR<sub>adj</sub>
) = 2.52; 95% CI = 1.36-4.68); those aged 18-30 years (OR<sub>adj</sub>
= 4.26; 95% CI = 1.18-15.30), 31-45 years (OR<sub>adj</sub>
= 4.60; 95% CI = 1.59-13.32) or 46-60 years (OR<sub>adj</sub>
= 2.69; 95% CI = 1.16-6.26) were better prepared than those aged 60-90 years; and, compared with those with no formal education, those educated to primary school level (OR<sub>adj</sub>
= 2.43; 95% CI = 1.09-5.43) or to university level (OR<sub>adj</sub>
= 3.18; 95% CI = 1.06-9.51) were better prepared.</AbstractText>
<AbstractText Label="Conclusion">Effective communication of essential, accurate and up-to-date information regarding COVID-19 prevention and control is essential in this population - especially for men, older age groups and those lacking formal education.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Srichan</LastName>
<ForeName>Peeradone</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Apidechkul</LastName>
<ForeName>Tawatchai</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tamornpark</LastName>
<ForeName>Ratipark</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yeemard</LastName>
<ForeName>Fartima</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Khunthason</LastName>
<ForeName>Siriyaporn</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kitchanapaiboon</LastName>
<ForeName>Siwarak</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wongnuch</LastName>
<ForeName>Pilasinee</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University; School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wongphaet</LastName>
<ForeName>Asamaphon</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Upala</LastName>
<ForeName>Panupong</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Center of Excellence for Hill Tribe Health Research, Mae Fah Luang University, Chiang Rai, Thailand.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>India</Country>
<MedlineTA>WHO South East Asia J Public Health</MedlineTA>
<NlmUniqueID>101589164</NlmUniqueID>
<ISSNLinking>2224-3151</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>H</CitationSubset>
<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="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004641" MajorTopicYN="N">Emigration and Immigration</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007722" MajorTopicYN="Y">Health Knowledge, Attitudes, Practice</DescriptorName>
</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>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013785" MajorTopicYN="N" Type="Geographic">Thailand</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">South-East Asia</Keyword>
<Keyword MajorTopicYN="Y">Thailand</Keyword>
<Keyword MajorTopicYN="Y">emergency response</Keyword>
</KeywordList>
<CoiStatement>None</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>9</Month>
<Day>26</Day>
<Hour>5</Hour>
<Minute>25</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>9</Month>
<Day>27</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>10</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32978344</ArticleId>
<ArticleId IdType="pii">WHOSouth-EastAsiaJPublicHealth_2020_9_2_118_294305</ArticleId>
<ArticleId IdType="doi">10.4103/2224-3151.294305</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Thaïlande</li>
</country>
</list>
<tree><country name="Thaïlande"><noRegion><name sortKey="Srichan, Peeradone" sort="Srichan, Peeradone" uniqKey="Srichan P" first="Peeradone" last="Srichan">Peeradone Srichan</name>
</noRegion>
<name sortKey="Apidechkul, Tawatchai" sort="Apidechkul, Tawatchai" uniqKey="Apidechkul T" first="Tawatchai" last="Apidechkul">Tawatchai Apidechkul</name>
<name sortKey="Khunthason, Siriyaporn" sort="Khunthason, Siriyaporn" uniqKey="Khunthason S" first="Siriyaporn" last="Khunthason">Siriyaporn Khunthason</name>
<name sortKey="Kitchanapaiboon, Siwarak" sort="Kitchanapaiboon, Siwarak" uniqKey="Kitchanapaiboon S" first="Siwarak" last="Kitchanapaiboon">Siwarak Kitchanapaiboon</name>
<name sortKey="Tamornpark, Ratipark" sort="Tamornpark, Ratipark" uniqKey="Tamornpark R" first="Ratipark" last="Tamornpark">Ratipark Tamornpark</name>
<name sortKey="Upala, Panupong" sort="Upala, Panupong" uniqKey="Upala P" first="Panupong" last="Upala">Panupong Upala</name>
<name sortKey="Wongnuch, Pilasinee" sort="Wongnuch, Pilasinee" uniqKey="Wongnuch P" first="Pilasinee" last="Wongnuch">Pilasinee Wongnuch</name>
<name sortKey="Wongphaet, Asamaphon" sort="Wongphaet, Asamaphon" uniqKey="Wongphaet A" first="Asamaphon" last="Wongphaet">Asamaphon Wongphaet</name>
<name sortKey="Yeemard, Fartima" sort="Yeemard, Fartima" uniqKey="Yeemard F" first="Fartima" last="Yeemard">Fartima Yeemard</name>
</country>
</tree>
</affiliations>
</record>
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