An analysis to identify the structural breaks of Covid-19 in Turkey

References

• Al Hasan, S.M., Saulam, J., Kanda, K. and Hirao, T., 2020. The novel coronavirus disease (Covid-19) outbreak trends in mainland China: a joinpoint regression analysis of the outbreak data from January 10 to February 11, 2020. Bull World Health Organ. E-pub: 17 February 2020. http://doi.org/10.2471/BLT.20.253153
   Google Scholar
• Bhatnagar, V., Poonia, R. C., Nagar, P., Kumar, S., Singh, V., Raja, L., & Dass, P. 2021. Descriptive analysis of Covid-19 patients in the context of India. Journal of Interdisciplinary Mathematics, 24(3), 489-504. doi: 10.1080/09720502.2020.1761635
   Web of Science ®Google Scholar
• Chaurasia, A. R. (2020). Covid-19 Trend and Forecast in India: A Join-point Regression Analysis. medRxiv, 2020.05.26.20113399. https://doi.org/10.1101/2020.05.26.20113399
   Google Scholar
• Clegg, L.X., Hankey, B.F., Tiwari, R., Feuer, E.J., Edwards, B.K. 2009. Estimating average annual per cent change in trend analysis. Statistics in Medicine 28: 3670– 3682. doi: 10.1002/sim.3733
   PubMed Web of Science ®Google Scholar
• Dash, M., Shadangi, P. Y., Muduli, K., Luhach, A. K., & Mohamed, A. (2021). Predicting the motivators of telemedicine acceptance in Covid-19 pandemic using multiple regression and ANN approach. Journal of Statistics and Management Systems, 24(2), 319-339. doi: 10.1080/09720510.2021.1875570
   Web of Science ®Google Scholar
• Guidotti, E., Ardia, D. 2020. Covid-19 Data Hub. Journal of Open Source Software, 5(51), 2376, https://doi.org/10.21105/joss.02376
   Google Scholar
• Memarbashi, R., Mahmoudi, S. M. 2021. A dynamic model for the Covid-19 with direct and indirect transmission pathways. Mathematical Methods in the Applied Sciences, 44(7), 5873-5887. doi: 10.1002/mma.7154
   PubMed Web of Science ®Google Scholar
• Mesquita, C., Dobby, H., Sweeting, S., Jones, C. S., Pierce, G. J. 2020. Size-at-maturity of Brown Crab (Cancer pagurus) in Scottish waters based on gonadal and morphometric traits. Fisheries Research, 229, 105610. https://doi.org/10.1016/j.fishres.2020.105610
   Web of Science ®Google Scholar
• Muggeo, V.M. 2008. “segmented: an R Package to Fit Regression Models with Broken-Line Relationships.” R News, 8(1), 20–25.
   Google Scholar
• Muggeo, V. M. 2017. Interval estimation for the breakpoint in segmented regression: a smoothed score-based approach. Australian & New Zealand Journal of Statistics, 59(3), 311-322. doi: 10.1111/anzs.12200
   Web of Science ®Google Scholar
• Muggeo, V., Sottile, G., Porcu, M. 2020. Modelling Covid-19 outbreak: segmented regression to assess lockdown effectiveness. Research Gate https://doi.org/10.13140/RG.2.2.32798.28485
   Google Scholar
• Parcha, V., Patel, N., Kalra, R., Suri, S. S., Arora, G., Arora, P. 2020. Mortality due to mitral regurgitation among adults in the United States: 1999-2018. In Mayo Clinic Proceedings (Vol. 95, No. 12, pp. 2633-2643). Elsevier.
   Google Scholar
• R Core Team. 2020. R: A language and environment for statistical. R Foundation for Statistical Computing, Vienna, Austria.
   Google Scholar
• Rostami-Tabar, B., Rendon-Sanchez, J. F. 2021. Forecasting Covid-19 daily cases using phone call data. Applied soft computing, 100, 106932. https://doi.org/10.1016/j.asoc.2020.106932
   PubMed Web of Science ®Google Scholar
• Santamaría, L. H. 2020. Covid-19 effective reproduction number dropped during Spain’s nationwide dropdown, then spiked at lower-incidence regions. Science of the Total Environment, 751, 142257. https://doi.org/10.1016/j.scitotenv.2020.142257
   PubMed Web of Science ®Google Scholar
• Senapati, A. N. 2020. A novel framework for Covid-19 case prediction through piecewise regression in India. International Journal of Information Technology, 13(1), 41-48. https://doi.org/10.1007/s41870-020-00552-3
   PubMedGoogle Scholar
• Siedner, M. J., Harling, G., Reynolds, Z., Gilbert, R. F., Venkataramani, A., Tsai, A. C. 2020. Social distancing to slow the US Covid-19 epidemic: an interrupted time-series analysis. MedRxiv preprint doi: https://doi.org/10.1101/2020.04.03.20052373
   Google Scholar
• Singh, B. P. 2020. Modeling and forecasting the spread of Covid-19 pandemic in India and significance of lockdown: A mathematical outlook. Handbook of Statistics, 44, 257-289. https://doi.org/10.1016/bs.host.2020.10.005
   Google Scholar
• Singh, V., Poonia, R. C., Kumar, S., Dass, P., Agarwal, P., Bhatnagar, V., & Raja, L. (2020). Prediction of Covid-19 corona virus pandemic based on time series data using Support Vector Machine. Journal of Discrete Mathematical Sciences and Cryptography, 23(8), 1583-1597. doi: 10.1080/09720529.2020.1784535
   Web of Science ®Google Scholar
• Simsek, E. E. 2020. A comparative analysis of the Covid-19 pandemic response: The case of Turkey. Northern Clinics of İstanbul, 7(5), 443-451. https://doi.org/10.14744/nci.2020.87846
   PubMed Web of Science ®Google Scholar
• Smiddy, M. P., Murphy, O. M., Savage, E., Fitzgerald, A. P., FitzGerald, S., Browne, J. 2020. Impact of improved observed hand hygiene on bloodstream infection rates in Ireland. A prospective segmented regression analysis, 2009–2016. Epidemiology and Infection, 148, E83. https://doi.org/10.1017/S095026882000076X
   PubMed Web of Science ®Google Scholar
• Wagner, A. K., Soumerai, S. B., Zhang, F., Ross-Degnan, D. 2002. Segmented regression analysis of interrupted time series studies in medication use research. Journal of clinical pharmacy and therapeutics, 27(4), 299-309. doi: 10.1046/j.1365-2710.2002.00430.x
   PubMed Web of Science ®Google Scholar
• Weiming, T., Huipeng, L., Gifty, M., Zaisheng, W., Weibin, C., Dan, W., & Rongbin, Y. 2020. The Changing Patterns of Coronavirus Disease 2019 (Covid-19) in China: A Tempogeographic Analysis of the Severe Acute Respiratory Syndrome Coronavirus 2 Epidemic, Clinical Infectious Diseases, 71(15), 818–824, https://doi.org/10.1093/cid/ciaa423
   PubMed Web of Science ®Google Scholar
• WHO. 2020. Novel Coronavirus (2019-ncov) – Situation report 51. World Health Organization. https://apps.who.int/iris/handle/10665/331475
   Google Scholar
• Xie, J., Zhu, Y. 2020. Association between ambient temperature and Covid-19 infection in 122 cities from China. Science of the Total Environment, 724, 138201. https://doi.org/10.1016/j.scitotenv.2020.138201
   PubMed Web of Science ®Google Scholar
• Zeileis, A. L. 2002. strucchange: An R Package for Testing for Structural Change in Linear Regression Models. Journal of Statistical Software, 7(2), 1–38. http://www.jstatsoft.org/v07/i02/ doi: 10.18637/jss.v007.i02
   Google Scholar