SciELO - Scientific Electronic Library Online

 
vol.31 número4Impacto de un programa doctoral de Ciencias de la información en el posicionamiento de Cuba en bases de datos internacionales índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista Cubana de Información en Ciencias de la Salud

versión On-line ISSN 2307-2113

Resumen

AQUINO CANCHARI, Christian Renzo; CAIRA CHUQUINEYRA, Brenda Sofia  y  CHAVEZ BUSTAMANTE, Sarai Gloria. Association between the pandemic COVID-19 and internet search trends in Latin America. Rev. cuba. inf. cienc. salud [online]. 2020, vol.31, n.4  Epub 15-Feb-2021. ISSN 2307-2113.

Coronavirus disease 2019 (COVID-19) has put the world in a health emergency. The search for information through the Internet largely reflects the interest of people in this pandemic. The present study aimed to determine the association between the relative search volume of the combined term [coronavirus + covid-19 + "new coronavirus" + covid + SARS-CoV-2], and the number of confirmed cases and daily deaths from the COVID-19. Google TrendsTM was used to provide data on the relative search volume in Google for the selected terms and compare it with the number of confirmed cases and daily deaths from COVID-19 in the 10 most affected countries in Latin America, reported by the control panel of the World Health Organization on COVID-19 disease. The evaluation period was from January 01 to June 14, 2020. To obtain the relationship between quantitative variables, the Spearman correlation coefficient was used, with a level of significance (p≤ 0.05). A positive and significant correlation (p< 0.001) was found between the relative search volume of the term combined with the number of confirmed cases and deaths by day because of COVID-19. Therefore, an interest-based internet search model can be used to predict the development and peak timing of the COVID-19 outbreak.

Palabras clave : Coronavirus; confirmed cases; deaths; Google Trends; Latin America; pandemic; public health.

        · resumen en Español     · texto en Español     · Español ( pdf )