Pregled bibliografske jedinice broj: 1190331
Google trends as a method to predict new COVID-19 cases and socio-psychological consequences of the pandemic
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
CROSBI ID: 1190331 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Google trends as a method to predict new COVID-19 cases and socio-psychological consequences of the pandemic
Autori
Jurić, Tado
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Essays on COVID-19 Research
Urednik/ci
Boutsioli, Zoe ; Bigelow, Victoria ; Gkounta, Olga
Izdavač
Athens Institute for Education and Research (ATINER)
Grad
Atena
Godina
2022
Raspon stranica
231-254
ISBN
978-960-598-465-6
Ključne riječi
Google trends ; COVID-19 ; birth rates ; domestic violence ; Croatia ; predicting demographic trends ; family
Sažetak
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).
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita, Demografija, Interdisciplinarne društvene znanosti
