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Covid-19 Sürecinde Türkiye’de Aşı Tereddüdü ile Google Arama Hacmi Verileri Arasındaki İlişkinin Değerlendirilmesi

Year 2022, Volume: 24 Issue: 1, 1 - 22, 27.04.2022

Abstract

En başarılı halk sağlığı önlemlerinden biri olarak kabul edilmesine rağmen, aşılama, giderek artan sayıda bireyler tarafından güvensiz ve gereksiz olarak algılanmaktadır. Çalışmanın amacı, illere göre aşılanma yüzdeleri ile arama terimlerinin iller düzeyinde gerçekleştirilen arama hacimleri arasındaki ilişkiyi ortaya koymaktır. Çalışmanın bir diğer amacı da Google arama hacimleri ile haftalık vaka ve ölüm sayıları arasındaki ilişkiyi incelemektir. Haftalık Google arama hacimleri ile haftalık vaka ve ölüm sayıları arasındaki ilişkiyi ölçmeye yönelik korelasyon analizi yapılmıştır. Ardından da arama terimleri ile vaka ve ölüm sayılarının haftalık durumları grafik üzerinde karşılaştırılmıştır. Korelasyon analizi sonuçları incelendiğinde; vaka sayısı ile istatistiksel açıdan anlamlı ilişkinin “covid-19” arama terimi arasında olduğu ve bu ilişkinin yüksek derecede ve pozitif yönlü olduğu görülmektedir (p<,01). Haftalık ölüm sayıları ile istatistiksel açıdan anlamlı bir arama terimi olmadığı ve “covid-19” terimi hariç diğer terimlerin negatif yönlü ve zayıf bir ilişkiye sahip olduğu görülmektedir. Haftalık vaka sayıları ile ölüm sayıları arasındaki ilişki incelendiğinde, bu ilişkinin orta düzeyde, pozitif yönlü ve anlamlı olduğu saptanmıştır. Çalışmada, vaka sayıları arttıkça ölüm sayılarının da arttığı görülmektedir. Araştırma kapsamındaki arama terimlerinin illere göre ortalama aranma hacimleri incelendiğinde, en fazla “Covid-19” ve “aşı” terimlerinin aratıldığı saptanmıştır. Bu sonuçlar, çevrimiçi verilerin salgınların izlenmesinde ve tahmin edilmesinde büyük bir önem kazandığını göstermektedir.

References

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Evaluation of the Relationship Between Vaccine Hesitancy and Google Search Volume Data in Turkey in the Covid-19 Process

Year 2022, Volume: 24 Issue: 1, 1 - 22, 27.04.2022

Abstract

Despite being accepted as one of the most successful public health measures, vaccination is perceived by an increasing number of individuals as unsafe and unnecessary. The aim of the study is to reveal the relationship between the vaccination percentages by provinces and the search volumes of search terms at the provincial level. Another aim of the study is to examine the relationship between Google search volumes and weekly cases and deaths. Correlation analysis was conducted to measure the relationship between weekly Google search volumes and weekly case and death numbers. Then, the weekly status of the search terms and the number of cases and deaths were compared on the chart. When the results of the correlation analysis are examined; it is seen that there is a statistically significant relationship between the number of cases and the search term "covid-19" and this relationship is high and positive (p<.01). It is seen that there is no statistically significant search term with the weekly death numbers, and other terms, except for the term "covid-19", have a negative and weak relationship. When the relationship between the number of weekly cases and the number of deaths was examined, it was found that this relationship was moderate, positive and significant. In the study, it is seen that the number of deaths increases as the number of cases increases. When the average search volumes of the search terms within the scope of the research are examined according to the provinces, it has been determined that the terms "Covid-19" and "vaccine" are mostly searched. These results show that online data has gained great importance in monitoring and predicting epidemics.

References

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  • Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & Kalhori, S. R. N. (2020). Predicting COVID-19 incidence through analysis of google trends data in iran: data mining and deep learning pilot study. JMIR public health and surveillance, 6(2), e18828.
  • Barello, S., Nania, T., Dellafiore, F., Graffigna, G., & Caruso, R. (2020). ‘Vaccine hesitancy’among university students in Italy during the COVID-19 pandemic. European journal of epidemiology, 35(8), 781-783.
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  • Beeferman, D., Au, L., Abdul-Khalek, R. A., Desai, A., & Majumder, M. S. (2021). An inductive approach to using google search trends to identify attitudes and areas of COVID-19 vaccine hesitancy.
  • Bozkurt, H. B. (2018). Aşı reddine genel bir bakış ve literatürün gözden geçirilmesi. Kafkas Journal of Medical Sciences, 8(1), 71-76.
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  • Camacho, B., Aguiar, R., Tanno, L. K., Ansotegui, I. J., & Morais-Almeida, M. (2021). Anaphylaxis and COVID-19 vaccines: Real-time interest using Google Trends. World Allergy Organization Journal, 14(8), 100570.
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  • Ciaffi, J., Meliconi, R., Landini, M. P., & Ursini, F. (2020). Google trends and COVID-19 in Italy: could we brace for impact? Internal and Emergency Medicine, 15, 1555-1559.
  • Coronavirus Vaccines Strategy. Erişim adresi: https://ec.europa.eu/info/live-work-travel-eu/coronavirus-response/publichealth/ coronavirus-vaccines-strategy_en 07.11.2021 tarihinde alınmıştır.
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  • Diaz, P., Reddy, P., Ramasahayam, R., Kuchakulla, M., & Ramasamy, R. (2021). COVID‐19 vaccine hesitancy linked to increased internet search queries for side effects on fertility potential in the initial rollout phase following Emergency Use Authorization. Andrologia, 53(9), e14156.
  • Dinga, J. N., Sinda, L. K., & Titanji, V. P. (2021). Assessment of vaccine hesitancy to a COVID-19 vaccine in Cameroonian adults and its global implication. Vaccines, 9(2), 175.
  • Dror, A. A., Eisenbach, N., Taiber, S., Morozov, N. G., Mizrachi, M., Zigron, A., ... & Sela, E. (2020). Vaccine hesitancy: The next challenge in the fight against COVID-19. European journal of epidemiology, 35(8), 775-779.
  • Dubé, E., Vivion, M., & MacDonald, N. E. (2015). Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: Influence, impact and implications. Expert review of vaccines, 14(1), 99-117.
  • Eysenbach, G. (2006). Infodemiology: Tracking flu-related searches on the web for syndromic surveillance. In AMIA annual symposium proceedings (Vol. 2006, p. 244-248). American Medical Informatics Association.
  • Eysenbach, G. (2009). Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of medical Internet research, 11(1), e1157.
  • European Centre for Disease Prevention and Control (ECDC). (2021). Vaccine Hesitancy. Erişim adresi: https://www.ecdc.europa.eu/en/immunisation-vaccines/vaccine-hesitancy 07.11.2021 tarihinde alınmıştır.
  • European Centre for Disease Prevention and Control (ECDC). (2016). Let’s Talk about Hesitancy: Enhancing Confidence in Vaccination and Uptake. Practical Guide for Public Health Programme Managers and Communicators, 1-22.
  • European Centre for Disease Prevention and Control (ECDC). (2017). Technical report. Catalogue of interventions addressing vaccine hesitancy, Stockholm, 1-65.
  • Feleszko, W., Lewulis, P., Czarnecki, A., & Waszkiewicz, P. (2021). Flattening the curve of covid-19 vaccine rejection—An international overview. Vaccines, 9(1), 44.
  • Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457(7232), 1012-1014.
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  • Hu, D., Lou, X., Xu, Z., Meng, N., Xie, Q., Zhang, M., ... & Wang, F. (2020). More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends. Journal of global health, 10(1).
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There are 71 citations in total.

Details

Primary Language Turkish
Journal Section Main Section
Authors

Gülsün Erigüç 0000-0001-5186-9345

Nazan Kartal 0000-0002-5416-7952

Gamze Arıkan 0000-0003-2911-2412

Publication Date April 27, 2022
Published in Issue Year 2022 Volume: 24 Issue: 1

Cite

APA Erigüç, G., Kartal, N., & Arıkan, G. (2022). Covid-19 Sürecinde Türkiye’de Aşı Tereddüdü ile Google Arama Hacmi Verileri Arasındaki İlişkinin Değerlendirilmesi. Ankara Hacı Bayram Veli Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(1), 1-22.