Due to the COVID-19 outbreak which showed its deadly results all around the world in the first quarter of 2020, all the countries have taken different measures. It is planned with lockdown, which has been a primary measure, to minimize human contact and decrease transmission rates. Various lockdown measures have been taken and implemented in different regions of Turkey, too. This research studies the effect of the change in densities in different locations on COVID-19 health data, based on the mobility trends in a certain time period and COVID-19 health data obtained regarding the related time period in Turkey. Thus, it is shown that decreasing the mobility trend has a positive effect on statistics concerning human life.

canonical correlation, COVID-19, Google Mobility Report, mobility trends.

Received: February 4, 2021; Accepted: March 1, 2021; Published: March 8, 2021

How to cite this article: Özlem Deniz Başar and Seda Bağdatlı Kalkan, A review on the COVID-19 effects of the mobility trends, JP Journal of Biostatistics 18(2) (2021), 149-163. DOI: 10.17654/BS018010149

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

Reference:

[1] The Republic of Turkey Ministry of Health, 2020, Genel Koronavirüs Tablosu, available online at: https://covid19.saglik.gov.tr/TR-66935/genel-koronavirus-tablosu.html.
[2] World Health Organization, 2020, Coronavirus disease (COVID-19): how is it transmitted? available online at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-covid-19-how-is-it-transmitted.
[3] J. Saha, B. Barman and P. Chouhan, Lockdown for COVID-19 and its impact on community mobility in India: an analysis of the COVID-19 community mobility reports, 2020, Child. Youth Serv. Rev. 116 (2020), 105160.
doi:10.1016/j.childyouth.2020.105160.
[4] Z. Vokó and J. G. Pitter, The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis, GeroScience 42 (2020), 1075-1082.
[5] L. Russo et al., Tracing day-zero and forecasting the COVID19 outbreak in Lombardy, Italy: a compartmental modelling and numerical optimization approach, PLoS ONE 15(10) (2020).
[6] B. H. Day, The value of greenspace under pandemic lockdown, Environmental and Resource Economics 76 (2020), 1161-1185.
[7] V. E. Valenti, et al., Social distancing measures could have reduced estimated deaths related to COVID-19 in Brazil, Revista Brasileira de Crescimento e Desenvolvimento Humano 30(2) (2020), 164-169.
[8] V. Chernozhukov, H. Kasahara and P. Schrimpf, Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S., Journal of Econometrics 220(1) (2020), 23-62.
[9] T. L. DucHuynh, Does culture matter social distancing under the COVID-19 pandemic? Safety Science 130 (2020).
[10] Google, Google, 2020.
Available online at: https://www.google.com/covid19/mobility/.
[11] Y. Karagöz, SPSS ve AMOS 23 Uygulamalı İstatistiksel Analizler, Ankara: Nobel Yayınevi, 2016 (in Turkish).
[12] D. Altaş and S. Giray, Türkiye’nin Eğitim, Sağlık ve İktisadi Göstergeleri Arasındaki Etkileşimin Kanonik Korelasyon Analizi ile İncelenmesi, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2005, 45-66 (in Turkish).
[13] R. Khattree and D. D. Naik, Multivariate Data Reduction and Discrimination with SAS Software, Wiley, 2000.
[14] Ö. Yorulmaz, Dayanıklı İstatistiksel Yöntemler ve R Uygulamaları. İstanbul: Beta, 2016 (in Turkish).
[15] S. Yavuz and T. Karabulut, The analysis of the relationship between successive courses via canonical correlation analysis method: a sample from Department of Business Administration, Kafkas University Journal of the Institute of Social Sciences 18 (2016), 459-476.
[16] E. Özgür Güler, H. Güler and S. Şanlı, Sosyal Gelişme Endeksine Dayalı Temel İnsani İhtiyaçlar ve Fırsatlar Altendeksleri Arasındaki İlişki, Ç.Ü. Sosyal Bilimler Enstitüsü Dergisi 2 (2019), 55-70 (in Turkish).
[17] N. Yüceday Erdinç and G. Sayılgan, BİST İmalat Sektöründeki Küçük Boyuttaki ve Orta Ölçekteki İşletmelerin Sermaye Yapisina Etki Eden Faktörlerin Kanonik Korelasyon Analizi İle Karşılaştırmalı Olarak İncelenmesi, Journal of Business Research-Turk 12 (2020), 826-847 (in Turkish).
[18] A. Altın Yavuz and B. Ergül, Sağlam Kanonik Korelasyon Analizi İle İnsani Gelişmişlik ve Dijital Rekabetçilik Endeksleri Arasindaki İlişkinin Değerlendirilmesi, Sosyal ve Beşeri Bilimler Dergisi 12 (2020), 1-18 (in Turkish).
[19] Ç. Arıcıgil and M. Can, Banka Şubelerinin Performanslarını Etkileyen Faktörlerin Kanonik Korelasyon Analizi İle İncelenmesi, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi EYİ 2013 Özel Sayısı, 2013, pp. 285-296 (in Turkish).