Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots

Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time.(1)(,)(2) It has previously correlated we...

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Detalles Bibliográficos
Autores principales: Ahmad, Imama, Flanagan, Ryan, Staller, Kyle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: by the AGA Institute 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834024/
https://www.ncbi.nlm.nih.gov/pubmed/32629121
http://dx.doi.org/10.1016/j.cgh.2020.06.058
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author Ahmad, Imama
Flanagan, Ryan
Staller, Kyle
author_facet Ahmad, Imama
Flanagan, Ryan
Staller, Kyle
author_sort Ahmad, Imama
collection PubMed
description Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time.(1)(,)(2) It has previously correlated well with infectious disease incidence and has demonstrated utility in disease forecasting, especially with influenza data.(3) We utilized Google Trends to investigate whether search interest in common gastrointestinal (GI) symptoms would correlate with coronavirus disease 2019 (COVID-19) incidence data.
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spelling pubmed-78340242021-01-26 Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots Ahmad, Imama Flanagan, Ryan Staller, Kyle Clin Gastroenterol Hepatol Original Article Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time.(1)(,)(2) It has previously correlated well with infectious disease incidence and has demonstrated utility in disease forecasting, especially with influenza data.(3) We utilized Google Trends to investigate whether search interest in common gastrointestinal (GI) symptoms would correlate with coronavirus disease 2019 (COVID-19) incidence data. by the AGA Institute 2020-11 2020-07-03 /pmc/articles/PMC7834024/ /pubmed/32629121 http://dx.doi.org/10.1016/j.cgh.2020.06.058 Text en © 2020 by the AGA Institute. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Ahmad, Imama
Flanagan, Ryan
Staller, Kyle
Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title_full Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title_fullStr Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title_full_unstemmed Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title_short Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots
title_sort increased internet search interest for gi symptoms may predict covid-19 cases in us hotspots
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834024/
https://www.ncbi.nlm.nih.gov/pubmed/32629121
http://dx.doi.org/10.1016/j.cgh.2020.06.058
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