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Google trends as a method to predict new COVID-19 cases and socio-psychological consequences of the pandemic (CROSBI ID 72918)

Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija

Jurić, Tado Google trends as a method to predict new COVID-19 cases and socio-psychological consequences of the pandemic // Essays on COVID-19 Research / Boutsioli, Zoe ; Bigelow, Victoria ; Gkounta, Olga (ur.). Atena: Athens Institute for Education and Research (ATINER), 2022. str. 231-254

Podaci o odgovornosti

Jurić, Tado

engleski

Google trends as a method to predict new COVID-19 cases and socio-psychological consequences of the pandemic

Understanding how people react to the COVID-19 crisis, and what the consequences are of the COVID-19 pandemic is key to enable public health and other agencies to develop optimal intervention strategies. Because the timely identification of new cases of infection has proven to be the key to timely respond to the spread of infection within a particular region, we have developed a method that can detect and predict the emergence of new cases of COVID-19 at an early stage. Further, this method can give useful insights into a family’s life during the pandemic and give the prediction of birth rates. The basic methodological concept of our approach is to monitor the digital trace of language searches with the Google Trends analytical tool (GT).

Google trends ; COVID-19 ; birth rates ; domestic violence ; Croatia ; predicting demographic trends ; family

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Podaci o prilogu

231-254.

objavljeno

Podaci o knjizi

Essays on COVID-19 Research

Boutsioli, Zoe ; Bigelow, Victoria ; Gkounta, Olga

Atena: Athens Institute for Education and Research (ATINER)

2022.

978-960-598-465-6

Povezanost rada

Demografija, Interdisciplinarne društvene znanosti, Javno zdravstvo i zdravstvena zaštita