Association between COVID-19 pandemic behavior and Internet search trends in Cuba

Authors

  • Carlos Enríque Salgado Fuentes Universidad de Ciencias Médicas de Guantánamo. Hospital General Docente Octavio de la Concepción y de la Pedraja. Guantánamo, Cuba. https://orcid.org/0000-0002-5918-0793
  • Emmanuel Zayas Fundora Universidad de Ciencias Médicas de la Habana. Facultad de Ciencias Médicas “Manuel Fajardo” https://orcid.org/0000-0002-3830-358X
  • Eglis Hernández Rodríguez Mount Sinai General Hospital. Guayaquil, Ecuador https://orcid.org/0000-0002-1205-4335
  • Rolando Torrecilla Venegas Universidad de Ciencias Médicas de Sancti Spíritus. Facultad de Ciencias Médicas “Dr. Faustino Pérez Hernández”. Sancti Spíritus, Cuba
  • Amanda Quintero Morgado Universidad de Ciencias Médicas de Guantánamo. Hospital General Docente Octavio de la Concepción y de la Pedraja. Guantánamo, Cuba. https://orcid.org/0000-0001-7801-2878

Keywords:

coronavirus infections, epidemiology, Internet, social media.

Abstract

The use of technological tools has gained great popularity globally in recent years. In this context, the capacity of the Internet as a source of information, in terms of disease epidemiology, has been addressed. Cuban society has more and more access to the Internet; therefore, the search for information through these media is becoming more frequent. An observational, correlational and retrospective study was carried out using the Google Trends computer tool, with the objective of analyzing the relationship between the searches of the COVID-19 topic in Internet and the behavior of the disease in Cuba. Descriptive and inferential statistics were used. Temporal coincidences were observed between the peaks of diagnosed cases and the days with higher relative volumes of searches, with the identification of an average delay of two days. The Pearson correlation coefficient between both variables was 0.546. The most searched terms in this period in relation to the pandemic were those concerning symptoms. The most searched topic was vaccines against the disease, with figures much higher than the rest. The Pearson correlation coefficient between the relative volume of daily searches and deceased patients was 0.175, showing the existence of a weak correlation between the two variables. It was concluded that the relative volumes of daily COVID-19 searches have a strong positive correlation with the number of daily cases diagnosed and can even be used in short-term predictive modeling.

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References

Montaño-Luna VE, Miranda-Novales MG. Actualización del manejo clínico de COVID-19 en pediatría: a un año de pandemia. Rev Mex Pediatr. 2021;88(1):31-45. DOI: https://dx.doi.org/10.35366/99417

MINSAP. Parte de cierre del día 1 de septiembre a las 12 de la noche. Sitio oficial de gobierno del Ministerio de Salud Pública en Cuba. 2021 [acceso 24/09/2021]. Disponible en: https://salud.msp.gob.cu/parte-de-cierre-del-dia-1-de-septiembre-a-las-12-de-la-noche-2/

Aquino Canchari CR, Caira Chuquineyra BS, Chávez Bustamante SG. Asociación entre la pandemia de COVID-19 y las tendencias de búsqueda en internet en Latinoamérica. Rev cuba inf cienc salud. 2020 [acceso 24/09/2021]; 31(4):[aprox. 1 p.]. Disponible en: http://acimed.sld.cu/index.php/acimed/article/view/1663

Oteros J, García-Mozc H, Viuf 0rby P, Galán C. Google Trends, una herramienta útil para detectar la presencia de polen atmosférico. Anales de la Facultad de Medicina. 2015 [acceso 24/09/2021];76(3):265-8. Disponible en: https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/11237

Kurian SJ, Bhatti A ur R, Alvi MA, Ting HH, Storlie C, Wilson PM, et al. Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis. Mayo Clinic Proceedings. 2020;95(11):2370-81. DOI: https://doi.org/10.1016/j.mayocp.2020.08.022

Digital 2020: Global Digital Overview. DataReportal – Global Digital Insights. [acceso 24/09/2021]. Disponible en: https://datareportal.com/reports/digital-2020-global-digital-overview

Iglesias-Osores S, Saavedra-Camacho JL. Tendencias de búsquedas en Internet por la pandemia COVID-19 en Perú. Revista Cubana de Higiene y Epidemiología. 2020 [acceso 24/09/2021];57(0). Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/311

Garitano I, Linares M, Santos L, Santamaría V, Galicia F, Ramos JM. Estimando el número de casos de COVID-19 mediante una herramienta web: resultados de la primera semana del proyecto «Covid-19 Trends» en Euskadi. Medicina de Familia SEMERGEN. 2020;46:111-7. DOI: https://doi.org/10.1016/j.semerg.2020.05.011

Infecciones por coronavirus – Confirman en Ciego de Ávila cepa Delta del SARS-CoV-2. [acceso 24/09/2021]. Disponible en: https://temas.sld.cu/coronavirus/2021/06/28/confirman-en-ciego-de-avila-cepa-delta-del-sars-cov-2/

Infecciones por coronavirus – Consejo de Defensa de La Habana alerta sobre posible incremento de casos en próximos días. [acceso 24/09/2021]. Disponible en: https://temas.sld.cu/coronavirus/2021/05/17/consejo-de-defensa-de-la-habana-alerta-sobre-posible-incremento-de-casos-en-proximos-dias/

Bello IO. Panorama epidemiológico agravado eleva rango de restricciones en Las Tunas (+gráficas). Periódico 26. [acceso 24/09/2021]. Disponible en: http://periodico26.cu/index.php/es/especiales/otras-noticias/4985-panorama-epidemiologico-agravado-eleva-rango-de-restricciones-en-las-tunas-graficas

Infecciones por coronavirus – Cuba ha aplicado más de dos millones de dosis de sus candidatos vacunales. [acceso 24/09/2021]. Disponible en: https://temas.sld.cu/coronavirus/2021/06/04/cuba-ha-aplicado-mas-de-dos-millones-de-dosis-de-sus-candidatos-vacunales/

Venkatesh U, Gandhi PA. Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective Analysis. Healthc Inform Res. 2020;26(3):175-84. DOI: https://doi.org/10.4258/hir.2020.26.3.175

Yuan X, Xu J, Hussain S, Wang H, Gao N, Zhang L. Trends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model. Explor Res Hypothesis Med. 2020;5(2):1-6. DOI: https://dx.doi.org/10.14218/ERHM.2020.00023

Ayyoubzadeh SM, Zahedi H, Ahmadi M, Kalhori SRN. Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study. JMIR Public Health and Surveillance. 2020;6(2):e18828. DOI: https://doi.org/10.2196/18828

Sulyok M, Ferenci T, Walker M. Google Trends Data and COVID-19 in Europe: Correlations and model enhancement are European wide. Transboundary and Emerging Diseases. 2021;68(4):2610-5. DOI: https://doi.org/10.1111/tbed.13887

Peligrosa variante Delta del SARS-CoV-2 podría predominar en Cuba (+ Video). Granma.cu. [acceso 24/09/2021]. Disponible en: http://www.granma.cu/cuba-covid-19/2021-07-21/peligrosa-variante-delta-del-sars-cov-2-podria-predominar-en-cuba-video

Published

2022-12-02

How to Cite

1.
Salgado Fuentes CE, Zayas Fundora E, Hernández Rodríguez E, Torrecilla Venegas R, Quintero Morgado A. Association between COVID-19 pandemic behavior and Internet search trends in Cuba. Rev. cuba. inf. cienc. salud [Internet]. 2022 Dec. 2 [cited 2025 May 9];33. Available from: https://acimed.sld.cu/index.php/acimed/article/view/2063

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