Prediction of the Spread of the COVID-19 Pandemic with Google Searches: An Infodemiological Approach

Yıl 2024, , 358 - 367, 20.05.2024

Betül Şen Yavuz , Tanyeli Güneyligil Kazaz , Ecem Akbeyaz Şivet , Betul Kargul

https://doi.org/10.54617/adoklinikbilimler.1378090

Öz

Aim: In outbreaks, public concern is reflected in search behavior. Examining the health literacy of the population and predicting before the diagnosis of cases may benefit the outbreak management. This study aims to evaluate the association of search behavior with the number of new confirmed cases in the affected countries by the Coronavirus disease 2019 (COVID-19) pandemic. This retrospective study is based on monitoring search behavior with an infodemiology and infoveillance approach.
Materials and Method: Google TrendsTM was used to investigate Internet search behavior related to COVID-19 for 10 countries from February 15, 2020, to November 10, 2020. Spearman’s rank correlation and time-lag correlation were used to determine the correlation with a delay of -30 days to +30 days between public interest and new daily confirmed cases.
Results: The level of COVID-19-related interest peaked about 33 days before the first peak in the number of cases. The correlation gradually decreased in seven countries towards the peak of cases. Spearman's rank correlations between Google searches and the number of new confirmed cases showed a negative correlation in Argentina, Brazil, India, and the United Kingdom (p<0.001), and a positive correlation in Italy, Turkey (p<0.001), and Russia (p=0.017). Eight countries had negative correlations in the increasing phase (p<0.001), and eight countries had strong to moderate positive correlations in the decreasing phase (p<0.001).
Conclusion: The findings showed that searches on Google TrendsTM increased before new cases in the countries.

Anahtar Kelimeler

COVID-19, Health information, Pandemic, Google Trends, Internet, Search interest

Etik Beyan

In the study, ethical approval was not required as anonymous public data is used.

Destekleyen Kurum

NA

Teşekkür

NA

Google Aramaları ile COVID-19 Pandemisinin Yayılımının Tahmini: İnfodemiyolojik Yaklaşım

Öz

Amaç: Salgınlarda, halkın endişesi İnternet arama davranışına yansır. Nüfusun sağlık okuryazarlığının incelenmesi ve vakalara tanı konulmadan önce tahmin yapılması ülkelerin salgın yönetimine fayda sağlayabilir. Bu çalışma Koronavirüs hastalığı 2019 (COVID-19) pandemisinden etkilenen ülkelerdeki doğrulanmış yeni vaka sayısı ile arama davranışı arasındaki ilişkiyi değerlendirmeyi amaçlamaktadır. Bu retrospektif çalışma, arama davranışının bir infodemiyoloji ve bilgi gözetimi yaklaşımıyla izlenmesine dayanmaktadır.
Gereç ve Yöntem: On ülke için 15 Şubat 2020 tarihinden 10 Kasım 2020 tarihine kadar COVID-19 ile ilgili İnternet arama davranışını araştırmak için Google TrendsTM kullanıldı. Halkın ilgisi ile günlük doğrulanmış yeni vakalar arasındaki -30 gün ila +30 gün gecikmeli korelasyonu belirlemek için Spearman rank korelasyonu ve zaman gecikmesi korelasyonu kullanıldı.
Bulgular: COVID-19 ile ilgi düzeyi, vaka sayısındaki ilk zirveden yaklaşık 33 gün önce zirve yaptı. Korelasyon yedi ülkede vakaların zirvesine doğru kademeli olarak azaldı. Google aramaları ile doğrulanmış yeni vaka sayısı arasındaki Spearman sıralama korelasyonları; Arjantin, Brezilya, Hindistan ve Birleşik Krallık'ta negatif bir korelasyon (p<0.001) ve İtalya, Türkiye (p<0.001) ve Rusya'da pozitif bir korelasyon gösterdi. (p=0.017). Sekiz ülke artan fazda negatif korelasyon vardı (p<0.001), sekiz ülke ise azalan fazda güçlü ila orta derecede pozitif korelasyon vardı (p<0.001).
Sonuç: Bulgular, ülkelerdeki yeni vakalardan önce Google TrendsTM'deki aramaların arttığını gösterdi.

Anahtar Kelimeler

COVID-19, Sağlık bilgisi, Pandemi, Google Trends, İnternet, Arama ilgisi

Kaynakça

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