Correlations between Web Searches and COVID-19 Epidemiological Indicators in Brazil

Author:

Locatelli Marcelo Sartori1ORCID,Cunha Evandro L. T. P2ORCID,Guiginski Janaína1ORCID,Franco Ramon A. S3ORCID,Bernardes Tereza1ORCID,Alzamora Pedro Loures1ORCID,Silva Daniel Victor F. da1ORCID,Ganem Marcelo Augusto S1ORCID,Santos Thiago H. M1ORCID,Carvalho Anne I. R1ORCID,Souza Leandro M. V1ORCID,Paixão Gabriela P. F1ORCID,Chaves Elisa França1ORCID,Santos Guilherme Bezerra dos1ORCID,Santos Rafael Vinícius dos1ORCID,Freitas Amanda Cupertino de1ORCID,Flores Matheus G1ORCID,Biezuner Rachel F1ORCID,Cardoso Rodolfo Lins1ORCID,Fonseca Rodrigo Machado1ORCID,Silva Ana Paula Couto da1ORCID,Meira Jr Wagner1ORCID

Affiliation:

1. Universidade Federal de Minas Gerais (UFMG), Brasil;

2. Universidade Federal de Minas Gerais (UFMG), Brasil;; Universidade Federal de Minas Gerais (UFMG), Brasil;

3. Universidade Federal do Oeste da Bahia (UFOB), Brasil

Publisher

FapUNIFESP (SciELO)

Subject

Multidisciplinary

Reference24 articles.

1. A model for the determination of pollen count using google search queries for patients suffering from allergic rhinitis;König V;J. Allergy,2014

2. Assessment of thunderstorm-induced asthma using Google Trends;Bousquet J;J. Allergy Clin Immunol,2017

3. Predicting asthma-related emergency department visits using big data;Ram S;IEEE J Biomed Health Inform,2015

4. Listings of WHO’s response to COVID-19 [Internet],2020

5. Social network sites: definition, history, and scholarship;Boyd DM;J Comput Mediat Commun,2007

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