Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study

Candida auris is an emerging multidrug resistant infectious yeast which is challenging to eradicate and despite available laboratory methods is still difficult to identify especially in less developed countries. To limit the rapid spread of C. auris, quick and accurate detection is essential. From t...

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Detalles Bibliográficos
Autor: Rodríguez-Baño, Jesús
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/89040
Acceso en línea:https://hdl.handle.net/11441/89040
https://doi.org/10.3390/jof5020044
Access Level:acceso abierto
Palabra clave:Candida auris
Google Trends
Search behavior
Surveillance
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spelling Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory StudyRodríguez-Baño, JesúsCandida aurisGoogle TrendsSearch behaviorSurveillanceCandida auris is an emerging multidrug resistant infectious yeast which is challenging to eradicate and despite available laboratory methods is still difficult to identify especially in less developed countries. To limit the rapid spread of C. auris, quick and accurate detection is essential. From the perspective of disease surveillance, additional methods of tracking this yeast are needed. In order to increase global preparedness, we explored the use of online search behavior to monitor the recent global spread of C. auris. We used Google Trends to assess online search behavior on C. auris from January 2016 until August 2018. Weekly Google Trends results were counted as hits and compared to confirmed C. auris cases obtained via publications and a global expert network of key opinion leaders. A total of 44 countries generated a hit, of which 30% (13/44) were confirmed known cases, 34% (15/44) were missed known cases, 34% (15/44) were hits for unknown cases, and 2% (1/44) were confirmed unknown cases. Conclusions: Google Trends searches is rapidly able to provide information on countries with an increased search interest in C. auris. However, Google Trends search results do not generally coincide with C. auris cases or clusters. This study did show that using Google Trends provides both insight into the known and highlights the unknown, providing potential for surveillance and tracking and hence aid in taking timely precautionary measures.MDPIMedicinaCTS-406: Estudio Enfermedades Infecciosas en la Practica Clínica2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/89040https://doi.org/10.3390/jof5020044reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésJournal of Fungi, 5 (2), 1-8.file:///C:/Users/Usuario/Downloads/jof-05-00044%20(1).pdfinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/890402026-06-17T12:51:07Z
dc.title.none.fl_str_mv Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
title Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
spellingShingle Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
Rodríguez-Baño, Jesús
Candida auris
Google Trends
Search behavior
Surveillance
title_short Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
title_full Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
title_fullStr Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
title_full_unstemmed Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
title_sort Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study
dc.creator.none.fl_str_mv Rodríguez-Baño, Jesús
author Rodríguez-Baño, Jesús
author_facet Rodríguez-Baño, Jesús
author_role author
dc.contributor.none.fl_str_mv Medicina
CTS-406: Estudio Enfermedades Infecciosas en la Practica Clínica
dc.subject.none.fl_str_mv Candida auris
Google Trends
Search behavior
Surveillance
topic Candida auris
Google Trends
Search behavior
Surveillance
description Candida auris is an emerging multidrug resistant infectious yeast which is challenging to eradicate and despite available laboratory methods is still difficult to identify especially in less developed countries. To limit the rapid spread of C. auris, quick and accurate detection is essential. From the perspective of disease surveillance, additional methods of tracking this yeast are needed. In order to increase global preparedness, we explored the use of online search behavior to monitor the recent global spread of C. auris. We used Google Trends to assess online search behavior on C. auris from January 2016 until August 2018. Weekly Google Trends results were counted as hits and compared to confirmed C. auris cases obtained via publications and a global expert network of key opinion leaders. A total of 44 countries generated a hit, of which 30% (13/44) were confirmed known cases, 34% (15/44) were missed known cases, 34% (15/44) were hits for unknown cases, and 2% (1/44) were confirmed unknown cases. Conclusions: Google Trends searches is rapidly able to provide information on countries with an increased search interest in C. auris. However, Google Trends search results do not generally coincide with C. auris cases or clusters. This study did show that using Google Trends provides both insight into the known and highlights the unknown, providing potential for surveillance and tracking and hence aid in taking timely precautionary measures.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/89040
https://doi.org/10.3390/jof5020044
url https://hdl.handle.net/11441/89040
https://doi.org/10.3390/jof5020044
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Fungi, 5 (2), 1-8.
file:///C:/Users/Usuario/Downloads/jof-05-00044%20(1).pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
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