CovidTrends: Identifying Behaviors during the COVID-19 Pandemic

Author:

Loutfi Marcelo1,Tibau Marcelo1,Siqueira Sean Wolfgand Matsui1,Nunes Bernardo Pereira2

Affiliation:

1. Universidade Federal do Estado do Rio de Janeiro

2. Australian National University

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Publisher

ACM

Reference32 articles.

1. Elske Ammenwerth. 2019. Technology Acceptance Models in Health Informatics: TAM and UTAUT. Stud Health Technol Inform.(2019). https://doi.org/10.3233/SHTI190111 Elske Ammenwerth. 2019. Technology Acceptance Models in Health Informatics: TAM and UTAUT. Stud Health Technol Inform.(2019). https://doi.org/10.3233/SHTI190111

2. Pablo Beytía and Carlos Cruz Infante. 2020. Digital Pathways Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19. preprint. SocArXiv. https://doi.org/10.31235/osf.io/yndb7 Pablo Beytía and Carlos Cruz Infante. 2020. Digital Pathways Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19. preprint. SocArXiv. https://doi.org/10.31235/osf.io/yndb7

3. Google Search Trends and Skin Cancer: Evaluating the US Population’s Interest in Skin Cancer and Its Association With Melanoma Outcomes;Bloom Romi;JAMA Dermatology,2015

4. I GranDSI-BR;Boscarioli Clodis;Grand Research Challenges in Information Systems in Brazil,2017

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