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Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia
[1], social media and communication can track public interest or concern regarding an infectious disease. [...]in Taiwan, in response to the ongoing outbreak, analyses demonstrated that Google ® Trends could potentially define the proper timing and location for practicing appropriate risk communicat...
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Published in: | Travel medicine and infectious disease 2020-09, Vol.37, p.101703-101703, Article 101703 |
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container_title | Travel medicine and infectious disease |
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creator | Ortiz-Martínez, Yeimer Garcia-Robledo, Juan Esteban Vásquez-Castañeda, Danna L. Bonilla-Aldana, D. Katterine Rodriguez-Morales, Alfonso J. |
description | [1], social media and communication can track public interest or concern regarding an infectious disease. [...]in Taiwan, in response to the ongoing outbreak, analyses demonstrated that Google ® Trends could potentially define the proper timing and location for practicing appropriate risk communication strategies to the affected population. Alfonso J. Rodriguez-Morales: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing - original draft, Writing - review & editing.Declaration of competing interest We declare that we have no competing interests.Acknowledgments To the National Institute of Health of Colombia for providing publicly the data of COVID-19 surveillance in its website (www.ins.gov.co). |
doi_str_mv | 10.1016/j.tmaid.2020.101703 |
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Katterine</creatorcontrib><creatorcontrib>Rodriguez-Morales, Alfonso J.</creatorcontrib><title>Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia</title><title>Travel medicine and infectious disease</title><addtitle>Travel Med Infect Dis</addtitle><description>[1], social media and communication can track public interest or concern regarding an infectious disease. [...]in Taiwan, in response to the ongoing outbreak, analyses demonstrated that Google ® Trends could potentially define the proper timing and location for practicing appropriate risk communication strategies to the affected population. Alfonso J. 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subjects | Betacoronavirus Blood Donors Colombia - epidemiology Communication Coronavirus Infections - epidemiology Coronaviruses Correspondence COVID-19 Disease transmission Editing Epidemics Female Health surveillance Humans Incidence Infectious diseases Male Pandemics Pneumonia, Viral Pregnancy Pregnancy Complications, Infectious Public concern Public Health SARS-CoV-2 Social media Social networks Spermatozoa Travel medicine Trends Writing Zika Virus Zika Virus Infection |
title | Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia |
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