Use of Google Trends to investigate loss-of-smell-related searches during the COVID-19 outbreak.
Identifieur interne : 000290 ( Main/Exploration ); précédent : 000289; suivant : 000291Use of Google Trends to investigate loss-of-smell-related searches during the COVID-19 outbreak.
Auteurs : Abigail Walker [Royaume-Uni] ; Claire Hopkins [Royaume-Uni] ; Pavol Surda [Royaume-Uni]Source :
- International forum of allergy & rhinology [ 2042-6984 ] ; 2020.
Descripteurs français
- KwdFr :
- Betacoronavirus (MeSH), Europe (épidémiologie), Humains (MeSH), Infections à coronavirus (épidémiologie), Iran (épidémiologie), Moteur de recherche (statistiques et données numériques), Moteur de recherche (tendances), Pandémies (MeSH), Pneumopathie virale (épidémiologie), Surveillance de la population (MeSH), Troubles de l'olfaction (épidémiologie), États-Unis (épidémiologie).
- MESH :
- statistiques et données numériques : Moteur de recherche.
- tendances : Moteur de recherche.
- épidémiologie : Europe, Infections à coronavirus, Iran, Pneumopathie virale, Troubles de l'olfaction, États-Unis.
- Betacoronavirus, Humains, Pandémies, Surveillance de la population.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Betacoronavirus (MeSH), Coronavirus Infections (epidemiology), Europe (epidemiology), Humans (MeSH), Iran (epidemiology), Olfaction Disorders (epidemiology), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Population Surveillance (MeSH), Search Engine (statistics & numerical data), Search Engine (trends), United States (epidemiology).
- MESH :
- geographic , epidemiology : Europe, Iran, United States.
- epidemiology : Coronavirus Infections, Olfaction Disorders, Pneumonia, Viral.
- statistics & numerical data : Search Engine.
- trends : Search Engine.
- Betacoronavirus, Humans, Pandemics, Population Surveillance.
Abstract
BACKGROUND
Initial reports describing coronavirus 2019 (COVID-19) were dominated by the presence of cough, breathlessness, and fever; anecdotal reports suggested anosmia may also be a manifestation. We used Google Trends (GT) to investigate whether there was a surge in individuals searching for information related to smell loss during the COVID-19 epidemic in Italy, Spain, the United Kingdom, the United States, Germany, France, Iran, and The Netherlands.
METHODS
GT was used to explore internet activity related to loss of smell in the 8 aforementioned countries. Spearman rank analysis was performed to correlate loss-of-smell-relative search volumes (RSVs), with the increases of daily confirmed cases of COVID-19 and deaths attributed to disease. As a control event, we also performed analysis of smell-related searches during the last UK influenza epidemic of 2009.
RESULTS
In all 8 countries, we observed strong correlations between daily RSVs related to loss of smell, increases of daily COVID-19
CONCLUSION
There is a strong correlation between the frequency of searches for smell-related information and the onset of COVID-19 infection in Italy, Spain, UK, USA, Germany, France, Iran, and The Netherlands. We hypothesize this may relate to a previously underrecognized symptom.
DOI: 10.1002/alr.22580
PubMed: 32279437
PubMed Central: PMC7262261
Affiliations:
Links toward previous steps (curation, corpus...)
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Initial reports describing coronavirus 2019 (COVID-19) were dominated by the presence of cough, breathlessness, and fever; anecdotal reports suggested anosmia may also be a manifestation. We used Google Trends (GT) to investigate whether there was a surge in individuals searching for information related to smell loss during the COVID-19 epidemic in Italy, Spain, the United Kingdom, the United States, Germany, France, Iran, and The Netherlands.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>GT was used to explore internet activity related to loss of smell in the 8 aforementioned countries. Spearman rank analysis was performed to correlate loss-of-smell-relative search volumes (RSVs), with the increases of daily confirmed cases of COVID-19 and deaths attributed to disease. As a control event, we also performed analysis of smell-related searches during the last UK influenza epidemic of 2009.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>In all 8 countries, we observed strong correlations between daily RSVs related to loss of smell, increases of daily COVID-19</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>There is a strong correlation between the frequency of searches for smell-related information and the onset of COVID-19 infection in Italy, Spain, UK, USA, Germany, France, Iran, and The Netherlands. We hypothesize this may relate to a previously underrecognized symptom.</p>
</div>
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<AbstractText Label="METHODS" NlmCategory="METHODS">GT was used to explore internet activity related to loss of smell in the 8 aforementioned countries. Spearman rank analysis was performed to correlate loss-of-smell-relative search volumes (RSVs), with the increases of daily confirmed cases of COVID-19 and deaths attributed to disease. As a control event, we also performed analysis of smell-related searches during the last UK influenza epidemic of 2009.</AbstractText>
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<ReferenceList><Title>References</Title>
<Reference><Citation>Mao L, Jin H, Wang M, et al. Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China. JAMA Neurol. Published online April 10, 2020. https://doi.org/10.1001/jamaneurol.2020.1127</Citation>
</Reference>
<Reference><Citation>NHS UK. https://www.nhs.uk/conditions/coronavirus-covid-19/symptoms-and-what-to-do/. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Carneiro HA, Mylonakis E. Google Trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis. 2009;49:1557-1564.</Citation>
</Reference>
<Reference><Citation>Bousquet J, Agache I, Anto JM, et al. Google Trends terms reporting rhinitis and related topics differ in European countries. Allergy. 2017;72:1261-1266.</Citation>
</Reference>
<Reference><Citation>Google China. 2020. https://en.wikipedia.org/wiki/Google_China. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Public Health England, COVID19 information for the public. https://www.arcgis.com/apps/opsdashboard/index.html#/f94c3c90da5b4e9f9a0b19484dd4bb14. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Ministry of Health (Spain). https://www.mscbs.gob.es/en/home.htm. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Dipartimento della Protezione Civile. http://www.protezionecivile.it/. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Coronavirus (COVID-19). 2020.</Citation>
</Reference>
<Reference><Citation>Hopkins C. Loss of sense of smell as marker of COVID’19 infection [press release]. www.entuk.org/loss-sense-smell-marker-covid-19-infection. Accessed March 20, 2020.</Citation>
</Reference>
<Reference><Citation>Diedenhofen B, Musch J. COCOR: a comprehensive solution for the statistical comparison of correlations. PLoS One. 2015;10:e0121945.</Citation>
</Reference>
<Reference><Citation>Treatment approach announced for pandemic flu. http://www.hpa.org.uk/servlet/Satellite?c=HPAweb_C&cid=1246519368102&pagename=HPAweb%252FHPAwebStandard. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>2009 Flu pandemic in the United Kingdom. https://en.wikipedia.org/wiki/2009_flu_pandemic_in_the_United_Kingdom#cite_note-HPAtreatmentApproach-34. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>Sugiura M, Aiba T, Mori J, Nakai Y. An epidemiological study of postviral olfactory disorder. Acta Otolaryngol Suppl. 1998;538:191-196.</Citation>
</Reference>
<Reference><Citation>Konstantinidis I, Haehner A, Frasnelli J, et al. Post-infectious olfactory dysfunction exhibits a seasonal pattern. Rhinology. 2006;44:135-139.</Citation>
</Reference>
<Reference><Citation>Lotsch J, Hummel T. A data science-based analysis of seasonal patterns in outpatient presentations due to olfactory dysfunction. Rhinology. 2020;58:151-157.</Citation>
</Reference>
<Reference><Citation>Bousquet J, O'Hehir RE, Anto JM, et al. Assessment of thunderstorm-induced asthma using Google Trends. J Allergy Clin Immunol. 2017;140:891-893.e897.</Citation>
</Reference>
<Reference><Citation>Loss of sense of smell among Iranians coinciding with coronavirus epidemic. https://en.radiofarda.com/a/loss-of-sense-of-smell-among-iranians-coinciding-with-coronavirus-epidemic/30478044.html. Accessed March 25, 2020.</Citation>
</Reference>
<Reference><Citation>AAO-HNS: Anosmia, Hyposmia, and Dysgeusia Symptoms of Coronavirus Disease. https://www.entnet.org/content/aao-hns-anosmia-hyposmia-and-dysgeusia-symptoms-coronavirus-disease. Accessed March 25, 2020.</Citation>
</Reference>
</ReferenceList>
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