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
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