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Revista Cubana de Información en Ciencias de la Salud (ACIMED)

2020, Número 4

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Revista Cubana de Información en Ciencias de la Salud (ACIMED) 2020; 31 (4)


Observaciones metodológicas en los estudios de tendencias de Google

Aragón-Ayala CJ, Quispe-Juli CU

Idioma: Ingles.
Referencias bibliográficas: 10
Paginas: 1-4
Archivo PDF: 296.33 Kb.


FRAGMENTO

Sin resumen.


REFERENCIAS (EN ESTE ARTÍCULO)

  1. Aquino-Canchari CR, Chávez-Bustamante SG, Caira-Chuquineyra BS. Exploratory analysis of internet search trends during the COVID-19 outbreak. Rev Cubana Inform Cienc Salud [Internet]. 2020 [access: 2020/09/23];31(3). Available from: http://www.acimed.sld.cu/index.php/acimed/article/view/1631

  2. avragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health Surveill. 2019 [access: 2020/09/23];29;5(2):e13439. DOI: http://dx.doi.org/10.2196/13439

  3. Cho S, Sohn CH, Jo MW, Shin SY, Lee JH, Ryoo SM, et al. Correlation between national influenza surveillance data and google trends in South Korea. PLoS One. 2013 [access: 2020/09/23];5;8(12):e81422. DOI: http://dx.doi.org/10.1371/journal.pone.0081422

  4. Aragón-Ayala CJ, Copa-Uscamayta J, Herrera L, Zela-Coila F, Quispe-Juli CU. Infodemiological study of COVID-19 in Latin America and The Caribbean. MedRxiv; 2020.

  5. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Res Protoc. 2020; 9(7):e16543. DOI: http://dx.doi.org/10.2196/16543

  6. Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, et al. The use of google trends in health care research: a systematic review. PLoS One . 2014;9(10):e109583. DOI: http://dx.doi.org/10.1371/journal.pone.0109583

  7. Havelka EM, Mallen CD, Shepherd TA. Using Google Trends to assess the impact of global public health days on online health information seeking behaviour in Central and South America. J Glob Health. 2020;10(1):010403. DOI: http://dx.doi.org/10.7189/jogh.10.010403

  8. Mavragani A, Tsagarakis KP. Predicting referendum results in the Big Data Era. J Big Data. 2019 [access: 2020/09/23];6(1):60. Available from: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-018-0166-z

  9. Lin Y-H, Liu C-H, Chiu Y-C. Google searches for the keywords of "wash hands" predict the speed of national spread of COVID-19 outbreak among 21 countries. Brain Behav Immun. 2020;87:30-2. DOI: http://dx.doi.org/10.1016/j.bbi.2020.04.020

  10. Google Transparency Report Stories. Tráfico e interrupciones en Google. Google Transparency Report Stories; 2018 [access: 2020/09/23]. Available from: https://transparencyreport.google.com/traffic/overview?group=REGION




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