A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey

Orhan Dalkılıç; Naime Demirtaş

doi:10.34110/forecasting.1077416

Research Article

Year 2022, Volume: 06 Issue: 1, 1 - 7, 31.08.2022

Orhan Dalkılıç Naime Demirtaş

https://doi.org/10.34110/forecasting.1077416

Cited By: 3

Abstract

References

L.A. Zadeh, Fuzzy sets. Information and Control. 8 (1965) 338-353.
D.A. Chiang, N.P. Lin, Correlation of fuzzy sets. Fuzzy Sets and Systems. 102 (1999) 221-226.
K. Atanassov, Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems. 20 (1986) 87-96.
D. Molodtsov, Soft set theory-first results. Comput. Math. Appl. 37 (1999) 19-31.
P.K. Maji, R. Biswas, R. Roy, Intuitionistic fuzzy soft sets. J. Fuzzy Math. 9 (3) (2001) 677-692.
U. Ozkaya Ş. Öztürk, Gaussian Regression Models for Day-Level Forecasting of COVID-19 in European Countries. In: Understanding COVID-19: The Role of Computational Intelligence. Springer, Cham, (2022) 339-356.
https://covid19.saglik.gov.tr/TR-66935/genel-koronavirus-tablosu.html
World Health Organisation. Coronavirus disease (COVID-19) pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed Aug 2020).
P.K. Maji, A.R. Roy, R. Biswas, Soft set theory. Computers and Mathematics with Applications. 45(4-5) (2003) 555–562.
A.M. Irfan, F. Feng, X. Liu, W.K. Minc, M. Shabir, On some new operations in soft set theory. Computers and Mathematics with Applications. 57 (2009) 1547-1553.
M. Shabir, M. Naz, On soft topological spaces. Comput. Math. Appl. 61 (2011) 1786-1799.
R.M. Zulqarnain, S. Abdal, A. Maalik, B. Ali, Z. Zafar, M.I. Ahamad, F. Dayan, Application of TOPSIS method in decision making via soft set. Biomed J Sci Tech Res. 24 (3) (2020).
T. Alshami, M. El-Shafei, T-soft equality relation. Turkish Journal of Mathematics. 44 (4) (2020) 1427-1441.
N. Demirtaş, S. Hussaın, O. Dalkılıç, New approaches of inverse soft rough sets and their applications in a decision making problem. Journal of applied mathematics and informatics. 38 (3-4) (2020) 335-349.
N. Demirtaş, O. Dalkılıç, An application in the diagnosis of prostate cancer with the help of bipolar soft rough sets, on Mathematics and Mathematics Education, KONYA, (2019) 283.
O. Dalkılıç, N. Demirtaş, VFP-Soft Sets and Its Application on Decision Making Problems. Journal of Polytechnic, (2021) https://doi.org/10.2339/politeknik.685634.
O. Dalkılıç, Relations on neutrosophic soft set and their application in decision making. Journal of Applied Mathematics and Computing. (2021) 1-17.
N. Demirtaş, O. Dalkılıç, Consistency measurement using the artificial neural network of the results obtained with fuzzy topsis method for the diagnosis of prostate cancer. TWMS J. App. and Eng. Math. 11 (1) (2021) 237-249.
N. Demirtaş, O. Dalkılıç, Decompositions of Soft α-continuity and Soft A-continuity. Journal of New Theory. 31 (2020) 86-94.
O. Dalkılıç, A novel approach to soft set theory in decision-making under uncertainty. International Journal of Computer Mathematics. (2021) 1-11. https://doi.org/10.1080/00207160.2020.1868445.
J.V. Lazarus, S.C. Ratzan, A. Palayew, L.O. Gostin, H.J. Larson, K. Rabin, ..., A. El-Mohandes, A global survey of potential acceptance of a COVID-19 vaccine. Nature medicine. 27 (2) (2021) 225-228.
J.H. Kim, F. Marks, J.D. Clemens, Looking beyond COVID-19 vaccine phase 3 trials. Nature medicine. (2021) 1-7.
M.D. Knoll, C. Wonodi, Oxford–AstraZeneca COVID-19 vaccine efficacy. The Lancet. (2021) 397(10269) 72-74.
K.O. Kwok, K.K. Li, W.I. Wei, A. Tang, S.Y.S. Wong, S.S. Lee, Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey. International journal of nursing studies. 114 (2021) 103854.
C. Covid, R. Team, Allergic reactions including anaphylaxis after receipt of the first dose of Moderna COVID-19 Vaccine-United States, December 21, 2020–January 10, 2021. Morbidity and Mortality Weekly Report, 70 (4) (2021) 125.
S. Loomba, A. de Figueiredo, S.J. Piatek, K. de Graaf, H.J. Larson, Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature human behaviour, (2021) 1-12.

A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey

Year 2022, Volume: 06 Issue: 1, 1 - 7, 31.08.2022

Orhan Dalkılıç Naime Demirtaş

https://doi.org/10.34110/forecasting.1077416

Cited By: 3

Abstract

One of the most important uncertainty problems encountered today is how to take action against the Covid-19 pandemic. The most important of these measures is undoubtedly vaccination. In this study, vaccination process implemented in Turkey Covidien-19 was analyzed. Intuitionistic fuzzy soft sets, which is an important mathematical model developed for uncertainty, were used for this analysis process. In addition, an algorithm has been proposed to better evaluate the obtained findings. As a result, with the increase in vaccinations, the number of people caught in the pandemic has decreased.

Keywords

Covid-19, Covid-19 vaccine, Intuitionistic fuzzy soft sets, Correlation coefficient

References

L.A. Zadeh, Fuzzy sets. Information and Control. 8 (1965) 338-353.
D.A. Chiang, N.P. Lin, Correlation of fuzzy sets. Fuzzy Sets and Systems. 102 (1999) 221-226.
K. Atanassov, Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems. 20 (1986) 87-96.
D. Molodtsov, Soft set theory-first results. Comput. Math. Appl. 37 (1999) 19-31.
P.K. Maji, R. Biswas, R. Roy, Intuitionistic fuzzy soft sets. J. Fuzzy Math. 9 (3) (2001) 677-692.
U. Ozkaya Ş. Öztürk, Gaussian Regression Models for Day-Level Forecasting of COVID-19 in European Countries. In: Understanding COVID-19: The Role of Computational Intelligence. Springer, Cham, (2022) 339-356.
https://covid19.saglik.gov.tr/TR-66935/genel-koronavirus-tablosu.html
World Health Organisation. Coronavirus disease (COVID-19) pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed Aug 2020).
P.K. Maji, A.R. Roy, R. Biswas, Soft set theory. Computers and Mathematics with Applications. 45(4-5) (2003) 555–562.
A.M. Irfan, F. Feng, X. Liu, W.K. Minc, M. Shabir, On some new operations in soft set theory. Computers and Mathematics with Applications. 57 (2009) 1547-1553.
M. Shabir, M. Naz, On soft topological spaces. Comput. Math. Appl. 61 (2011) 1786-1799.
R.M. Zulqarnain, S. Abdal, A. Maalik, B. Ali, Z. Zafar, M.I. Ahamad, F. Dayan, Application of TOPSIS method in decision making via soft set. Biomed J Sci Tech Res. 24 (3) (2020).
T. Alshami, M. El-Shafei, T-soft equality relation. Turkish Journal of Mathematics. 44 (4) (2020) 1427-1441.
N. Demirtaş, S. Hussaın, O. Dalkılıç, New approaches of inverse soft rough sets and their applications in a decision making problem. Journal of applied mathematics and informatics. 38 (3-4) (2020) 335-349.
N. Demirtaş, O. Dalkılıç, An application in the diagnosis of prostate cancer with the help of bipolar soft rough sets, on Mathematics and Mathematics Education, KONYA, (2019) 283.
O. Dalkılıç, N. Demirtaş, VFP-Soft Sets and Its Application on Decision Making Problems. Journal of Polytechnic, (2021) https://doi.org/10.2339/politeknik.685634.
O. Dalkılıç, Relations on neutrosophic soft set and their application in decision making. Journal of Applied Mathematics and Computing. (2021) 1-17.
N. Demirtaş, O. Dalkılıç, Consistency measurement using the artificial neural network of the results obtained with fuzzy topsis method for the diagnosis of prostate cancer. TWMS J. App. and Eng. Math. 11 (1) (2021) 237-249.
N. Demirtaş, O. Dalkılıç, Decompositions of Soft α-continuity and Soft A-continuity. Journal of New Theory. 31 (2020) 86-94.
O. Dalkılıç, A novel approach to soft set theory in decision-making under uncertainty. International Journal of Computer Mathematics. (2021) 1-11. https://doi.org/10.1080/00207160.2020.1868445.
J.V. Lazarus, S.C. Ratzan, A. Palayew, L.O. Gostin, H.J. Larson, K. Rabin, ..., A. El-Mohandes, A global survey of potential acceptance of a COVID-19 vaccine. Nature medicine. 27 (2) (2021) 225-228.
J.H. Kim, F. Marks, J.D. Clemens, Looking beyond COVID-19 vaccine phase 3 trials. Nature medicine. (2021) 1-7.
M.D. Knoll, C. Wonodi, Oxford–AstraZeneca COVID-19 vaccine efficacy. The Lancet. (2021) 397(10269) 72-74.
K.O. Kwok, K.K. Li, W.I. Wei, A. Tang, S.Y.S. Wong, S.S. Lee, Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey. International journal of nursing studies. 114 (2021) 103854.
C. Covid, R. Team, Allergic reactions including anaphylaxis after receipt of the first dose of Moderna COVID-19 Vaccine-United States, December 21, 2020–January 10, 2021. Morbidity and Mortality Weekly Report, 70 (4) (2021) 125.
S. Loomba, A. de Figueiredo, S.J. Piatek, K. de Graaf, H.J. Larson, Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature human behaviour, (2021) 1-12.

There are 26 citations in total.

Details

Primary Language	English
Subjects	Mathematical Sciences
Journal Section	Articles
Authors	Orhan Dalkılıç 0000-0003-3875-1398 Naime Demirtaş 0000-0003-4137-4810
Publication Date	August 31, 2022
Submission Date	February 22, 2022
Acceptance Date	March 30, 2022
Published in Issue	Year 2022 Volume: 06 Issue: 1

Cite

APA	Dalkılıç, O., & Demirtaş, N. (2022). A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey. Turkish Journal of Forecasting, 06(1), 1-7. https://doi.org/10.34110/forecasting.1077416
AMA	Dalkılıç O, Demirtaş N. A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey. TJF. August 2022;06(1):1-7. doi:10.34110/forecasting.1077416
Chicago	Dalkılıç, Orhan, and Naime Demirtaş. “A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey”. Turkish Journal of Forecasting 06, no. 1 (August 2022): 1-7. https://doi.org/10.34110/forecasting.1077416.
EndNote	Dalkılıç O, Demirtaş N (August 1, 2022) A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey. Turkish Journal of Forecasting 06 1 1–7.
IEEE	O. Dalkılıç and N. Demirtaş, “A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey”, TJF, vol. 06, no. 1, pp. 1–7, 2022, doi: 10.34110/forecasting.1077416.
ISNAD	Dalkılıç, Orhan - Demirtaş, Naime. “A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey”. Turkish Journal of Forecasting 06/1 (August 2022), 1-7. https://doi.org/10.34110/forecasting.1077416.
JAMA	Dalkılıç O, Demirtaş N. A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey. TJF. 2022;06:1–7.
MLA	Dalkılıç, Orhan and Naime Demirtaş. “A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey”. Turkish Journal of Forecasting, vol. 06, no. 1, 2022, pp. 1-7, doi:10.34110/forecasting.1077416.
Vancouver	Dalkılıç O, Demirtaş N. A Mathematical Analysis of the Relationship Between the Vaccination Rate And COVID-19 Pandemic in Turkey. TJF. 2022;06(1):1-7.