The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.
Identifieur interne : 000006 ( Main/Corpus ); précédent : 000005; suivant : 000007The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.
Auteurs : Solene Huynh ; Tu Anh Duong ; Guillaume Lame ; Thomas Hubiche ; Khaled EzzedineSource :
- JMIR public health and surveillance [ 2369-2960 ] ; 2021.
Abstract
BACKGROUND
During the COVID-19 pandemic, studies have described Internet searches for SARS-Cov-2 symptoms preceding their validation by the World Health Organization. This suggested that monitoring these searches through tools like Google Trends could help monitor the epidemic itself. In Europe and in North America, an unexpected outbreak of cutaneous acral lesions, e.g., chilblain-like lesions, was noted by dermatologists in April 2020. Some suggested that these symptoms could be tracked on Google Trends to monitor the epidemic. However, external factors such as public communications may also hinder Google Trends's role as an infodemiology tool.
OBJECTIVE
The study aimed to assess the impact of media announcements and lockdown enforcement on online searches related to cutaneous acral lesions during the COVID-19 outbreak in 2020.
METHODS
Two searches on Google Trends, including daily relative search volumes related to 1/ "toe" or "chilblains" and 2/ "coronavirus" were made from January 1st to May 16th, 2020 for the US, the UK, France, Italy, Spain, and Germany. The ratio of chilblains to coronavirus was plotted. To assess the impact of lockdown and media coverage, interrupted time-series analyses were performed for each country.
RESULTS
During that period, the ratio 'chilblains/coronavirus' searches showed a constant upward trend. In France, Italy, and the UK, the lockdown was associated with a significant slope change of chilblain searches with a coefficient value of 1.06 0.42, 1.04 0.28 and, 1.21 0.44 (p<0.01), respectively. After media announcement, a statistically significant increase was found in France, Spain, Italy, and the US with coefficient values of 18.95 5.77, 31.31 6.31, 14.57 6.33, 11.24 4.93 (p<0.01), followed by a statistically significant downward trend in France, Spain, and Italy (p<0.01). Adjusted R2 values were 0.311, 0.351, 0.325, 0.305 in France, Spain, Italy, and the US, in favor of an average correlation between time and search volume. The correlation was weak in Germany and the UK.
CONCLUSIONS
To date, chilblain-like lesions' association with COVID-19 remains controversial in the scientific community. In previous studies, Google Trends has been asserted to provide further evidence of that relation. However, chilblain-like queries on Google were highly influenced by mediatization and governmental policies, warranting caution when using Google Trends as a monitoring tool for emerging diseases.
DOI: 10.2196/25651
PubMed: 33513563
Links to Exploration step
pubmed:33513563Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.</title><author><name sortKey="Huynh, Solene" sort="Huynh, Solene" uniqKey="Huynh S" first="Solene" last="Huynh">Solene Huynh</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Duong, Tu Anh" sort="Duong, Tu Anh" uniqKey="Duong T" first="Tu Anh" last="Duong">Tu Anh Duong</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Lame, Guillaume" sort="Lame, Guillaume" uniqKey="Lame G" first="Guillaume" last="Lame">Guillaume Lame</name><affiliation><nlm:affiliation>Laboratoire de Génie Industriel, Centrale Supelec, Université Paris Saclay, Gif sur yvette, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Hubiche, Thomas" sort="Hubiche, Thomas" uniqKey="Hubiche T" first="Thomas" last="Hubiche">Thomas Hubiche</name><affiliation><nlm:affiliation>Departement of Dermatology, CHU de Nice, Nice, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Ezzedine, Khaled" sort="Ezzedine, Khaled" uniqKey="Ezzedine K" first="Khaled" last="Ezzedine">Khaled Ezzedine</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2021">2021</date><idno type="RBID">pubmed:33513563</idno><idno type="pmid">33513563</idno><idno type="doi">10.2196/25651</idno><idno type="wicri:Area/Main/Corpus">000006</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000006</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.</title><author><name sortKey="Huynh, Solene" sort="Huynh, Solene" uniqKey="Huynh S" first="Solene" last="Huynh">Solene Huynh</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Duong, Tu Anh" sort="Duong, Tu Anh" uniqKey="Duong T" first="Tu Anh" last="Duong">Tu Anh Duong</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Lame, Guillaume" sort="Lame, Guillaume" uniqKey="Lame G" first="Guillaume" last="Lame">Guillaume Lame</name><affiliation><nlm:affiliation>Laboratoire de Génie Industriel, Centrale Supelec, Université Paris Saclay, Gif sur yvette, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Hubiche, Thomas" sort="Hubiche, Thomas" uniqKey="Hubiche T" first="Thomas" last="Hubiche">Thomas Hubiche</name><affiliation><nlm:affiliation>Departement of Dermatology, CHU de Nice, Nice, FR.</nlm:affiliation></affiliation></author><author><name sortKey="Ezzedine, Khaled" sort="Ezzedine, Khaled" uniqKey="Ezzedine K" first="Khaled" last="Ezzedine">Khaled Ezzedine</name><affiliation><nlm:affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</nlm:affiliation></affiliation></author></analytic><series><title level="j">JMIR public health and surveillance</title><idno type="eISSN">2369-2960</idno><imprint><date when="2021" type="published">2021</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>During the COVID-19 pandemic, studies have described Internet searches for SARS-Cov-2 symptoms preceding their validation by the World Health Organization. This suggested that monitoring these searches through tools like Google Trends could help monitor the epidemic itself. In Europe and in North America, an unexpected outbreak of cutaneous acral lesions, e.g., chilblain-like lesions, was noted by dermatologists in April 2020. Some suggested that these symptoms could be tracked on Google Trends to monitor the epidemic. However, external factors such as public communications may also hinder Google Trends's role as an infodemiology tool.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The study aimed to assess the impact of media announcements and lockdown enforcement on online searches related to cutaneous acral lesions during the COVID-19 outbreak in 2020.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Two searches on Google Trends, including daily relative search volumes related to 1/ "toe" or "chilblains" and 2/ "coronavirus" were made from January 1st to May 16th, 2020 for the US, the UK, France, Italy, Spain, and Germany. The ratio of chilblains to coronavirus was plotted. To assess the impact of lockdown and media coverage, interrupted time-series analyses were performed for each country.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>During that period, the ratio 'chilblains/coronavirus' searches showed a constant upward trend. In France, Italy, and the UK, the lockdown was associated with a significant slope change of chilblain searches with a coefficient value of 1.06 0.42, 1.04 0.28 and, 1.21 0.44 (p<0.01), respectively. After media announcement, a statistically significant increase was found in France, Spain, Italy, and the US with coefficient values of 18.95 5.77, 31.31 6.31, 14.57 6.33, 11.24 4.93 (p<0.01), followed by a statistically significant downward trend in France, Spain, and Italy (p<0.01). Adjusted R2 values were 0.311, 0.351, 0.325, 0.305 in France, Spain, Italy, and the US, in favor of an average correlation between time and search volume. The correlation was weak in Germany and the UK.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>To date, chilblain-like lesions' association with COVID-19 remains controversial in the scientific community. In previous studies, Google Trends has been asserted to provide further evidence of that relation. However, chilblain-like queries on Google were highly influenced by mediatization and governmental policies, warranting caution when using Google Trends as a monitoring tool for emerging diseases.</p></div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33513563</PMID><DateRevised><Year>2021</Year><Month>01</Month><Day>29</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2369-2960</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2021</Year><Month>Jan</Month><Day>22</Day></PubDate></JournalIssue><Title>JMIR public health and surveillance</Title><ISOAbbreviation>JMIR Public Health Surveill</ISOAbbreviation></Journal><ArticleTitle>The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.2196/25651</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">During the COVID-19 pandemic, studies have described Internet searches for SARS-Cov-2 symptoms preceding their validation by the World Health Organization. This suggested that monitoring these searches through tools like Google Trends could help monitor the epidemic itself. In Europe and in North America, an unexpected outbreak of cutaneous acral lesions, e.g., chilblain-like lesions, was noted by dermatologists in April 2020. Some suggested that these symptoms could be tracked on Google Trends to monitor the epidemic. However, external factors such as public communications may also hinder Google Trends's role as an infodemiology tool.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The study aimed to assess the impact of media announcements and lockdown enforcement on online searches related to cutaneous acral lesions during the COVID-19 outbreak in 2020.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Two searches on Google Trends, including daily relative search volumes related to 1/ "toe" or "chilblains" and 2/ "coronavirus" were made from January 1st to May 16th, 2020 for the US, the UK, France, Italy, Spain, and Germany. The ratio of chilblains to coronavirus was plotted. To assess the impact of lockdown and media coverage, interrupted time-series analyses were performed for each country.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">During that period, the ratio 'chilblains/coronavirus' searches showed a constant upward trend. In France, Italy, and the UK, the lockdown was associated with a significant slope change of chilblain searches with a coefficient value of 1.06 0.42, 1.04 0.28 and, 1.21 0.44 (p<0.01), respectively. After media announcement, a statistically significant increase was found in France, Spain, Italy, and the US with coefficient values of 18.95 5.77, 31.31 6.31, 14.57 6.33, 11.24 4.93 (p<0.01), followed by a statistically significant downward trend in France, Spain, and Italy (p<0.01). Adjusted R2 values were 0.311, 0.351, 0.325, 0.305 in France, Spain, Italy, and the US, in favor of an average correlation between time and search volume. The correlation was weak in Germany and the UK.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">To date, chilblain-like lesions' association with COVID-19 remains controversial in the scientific community. In previous studies, Google Trends has been asserted to provide further evidence of that relation. However, chilblain-like queries on Google were highly influenced by mediatization and governmental policies, warranting caution when using Google Trends as a monitoring tool for emerging diseases.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Huynh</LastName><ForeName>Solene</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Duong</LastName><ForeName>Tu Anh</ForeName><Initials>TA</Initials><AffiliationInfo><Affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lame</LastName><ForeName>Guillaume</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Laboratoire de Génie Industriel, Centrale Supelec, Université Paris Saclay, Gif sur yvette, FR.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hubiche</LastName><ForeName>Thomas</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Departement of Dermatology, CHU de Nice, Nice, FR.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ezzedine</LastName><ForeName>Khaled</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Dermatology,, CHU Henri Mondor, 51 avenue du Marechal de Lattre de Tassigny, creteil, FR.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2021</Year><Month>01</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>JMIR Public Health Surveill</MedlineTA><NlmUniqueID>101669345</NlmUniqueID><ISSNLinking>2369-2960</ISSNLinking></MedlineJournalInfo><CitationSubset>H</CitationSubset><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2021</Year><Month>1</Month><Day>29</Day><Hour>20</Hour><Minute>10</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2021</Year><Month>1</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2021</Year><Month>1</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33513563</ArticleId><ArticleId IdType="doi">10.2196/25651</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/LockdownV1/Data/Main/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000006 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000006 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= LockdownV1
|flux= Main
|étape= Corpus
|type= RBID
|clé= pubmed:33513563
|texte= The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:33513563" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a LockdownV1
| This area was generated with Dilib version V0.6.38. |  |